Managerial practices and coach satisfaction: A summer camp recreation and athletics case study 

Author: Jimmy Smith1

1Department of Kinesiology and Sport Management, Gonzaga University, Spokane, WA, USA

 

Editor’s Note: This article uses the pseudonym Camp Mid-East. While the dates of the study and camp name are withheld, The Sport Journal has verified the identity of the author and confirmed the camp’s existence through a virtual meeting. This note serves to assure readers that reasonable steps have been taken to confirm the legitimacy of the content presented.

Corresponding Author: 

Jimmy Smith, Ph.D.

Gonzaga University

502 E. Boone Ave

Spokane, WA 99258

[email protected]

509-313-3483

Jimmy Smith, Ph. D., is an Associate Professor of Sport Management at Gonzaga University in Spokane, WA. His research interests include organizational behavior.

ABSTRACT 

This case study examines how specific managerial practices influenced coaching staff satisfaction at Camp Mid-East, a residential summer camp in the United States. In response to persistent challenges related to staff retention and satisfaction, the camp implemented a mission statement, operational guidelines, and structured communication strategies within its athletic and recreation department. Using a pre- and post-camp survey design, the study measured changes in coach perceptions across four domains: communication, operational clarity, mission alignment, and overall satisfaction. Descriptive statistics and Wilcoxon Matched-Pairs Signed-Rank Tests were used to analyze the data. Results indicated improvements in communication practices, with more variable outcomes related to mission clarity and satisfaction. These findings contribute to the growing body of research on organizational support in recreational settings and offer practical insights for camp administrators seeking to improve staff engagement, reduce burnout, and enhance the overall staff experience through intentional leadership practices.

KEYWORDS: coach satisfaction, managerial practices, outdoor recreation, staff retention, summer camp

INTRODUCTION 

Organized camping has been a notable facet of American culture since its inception in 1861, gaining widespread appeal among diverse demographics (2, 49). The American Camp Association (ACA) reports significant growth in the camping industry, characterized by increased attendance and revenues, with millions of children, parents, and adults participating in various camping experiences (5). From 2017 to 2019, ACA reported a 30% increase in attendance at accredited camps, rising from 7.3 million to 10.3 million campers (2, 5). The ACA is currently partnering with the University of Michigan Economic Growth Institute, and the ACA revealed that the youth camp sector generates an annual economic impact of approximately $70 billion, underscoring the industry’s substantial influence across the United States (5).

Previous research on camping has explored various aspects of participation, including the benefits it provides, especially its ability to promote well-being through time spent in nature. Research has highlighted the psychological advantages of spending time in natural environments, including stress relief and a mental break from daily routines (13, 29). Additional scholarship has further emphasized the mental health benefits of outdoor environments, particularly as safe spaces that foster emotional resilience among youth and adults (27, 41). Additional studies have explored the satisfaction derived from activities such as cooking, teamwork, and forming bonds through shared experiences with family and peers (9, 26).

There are numerous types of camping, from day camps to residential camps, tenting, and RVing. Residential camps, or sleep-away camps and the setting for the current research, provide immersive experiences where children and adolescents, typically aged 6 to 16, reside in camp settings for extended periods during the summer, engaging in various activities (6). The success of these camps relies heavily on the efforts of camp professionals (e.g., counselors, coaches, and staff) who are committed to delivering memorable camper experiences. Each summer, thousands of dedicated staffers, counselors, and coaches work to provide the best experience possible for millions of youth campers (4). Research exploring camp staff experiences has primarily focused on factors such as job motivation (43), retention rates (45), and emotional challenges (58, 59). Some studies address the social-emotional behaviors of counselors, their interactions with campers, and the high rates of burnout and job dissatisfaction within this sector. Findings suggest that organizational support and communication are essential in mitigating burnout among seasonal camp staff (12, 20, 63). Additionally, the role of camp counselors in promoting positive youth development through sports and leadership has been emphasized (32, 35, 54, 57).

The camping industry faces current staff retention and well-being challenges, especially as camps adjust to operational shifts and staffing shortages following the COVID-19 pandemic (30, 33). A 2021 ACA report highlighted these post-pandemic challenges, noting that camps must now balance staff shortages with the increasing needs of campers in a more complex emotional and operational environment (4, 30). Despite a considerable body of research on camp experiences, there remains a gap in understanding the organizational and operational strategies that support camp counselors and coaches, particularly in how structured communication, mission statements, and operational guidelines can enhance staff satisfaction.

The current research explored implementing managerial practices to improve coach satisfaction at Camp Mid-East, a residential summer camp in the United States. By analyzing the impacts of a clear mission statement, defined operational guidelines, and strategic communication practices, the study seeks to illustrate how these elements contribute to job satisfaction among camp coaches. Literature on organizational clarity and communication strategies indicates that these interventions may positively influence employee satisfaction and retention (60). Therefore, this study posed the following broad research question: Will implementing a mission statement, operational guidelines, and structured communication within the athletic department at Camp Mid-East enhance coach satisfaction?

The structure of the manuscript is designed to clearly convey the study’s context, findings, and implications. The manuscript begins with a description of the empirical setting at Camp Mid-East to establish the study’s context. This is followed by a review of literature related to outdoor recreation, challenges faced by camp staff, and the influence of leadership and organizational practices on staff satisfaction. The methods section outlines the study design, participants, data collection, and analysis procedures. Next, the results of the pre- and post-camp surveys are presented, highlighting key findings related to communication, operational guidelines, mission alignment, and satisfaction. The discussion interprets these findings in relation to prior research and practical implications for camp leadership. Finally, the conclusion addresses limitations and offers recommendations for future research on staff satisfaction and organizational practices in residential camp settings.

EMPIRICAL SETTING

According to the ACA (2024b), there are 3,904 camps available, from day camps to overnight camps for youth, adults, and families. Overnight summer camps in the United States vary widely in size, typically hosting between 100 to over 1,000 campers. Many camps are separated by gender and operate for durations ranging from one to eight weeks, with tuition costs reaching the thousands. For example, Camp Neshoba in Maine has charged as much as $10,500 for an eight-week session, accommodating 190 campers with nearly 100 staff members. Summer overnight camps primarily offer recreational activities, including a range of sports, arts and crafts, and wilderness training.

In a youth residential camp setting, an Activity Director often oversees various programming areas, and the coaches manage activities for the children. The staff that watches over the youth at these camps are hired for dual roles as counselors and coaches based on previous experience in a sport or activity. For example, a counselor may be hired because they have experience with baseball as a collegiate player or are a fine arts major in college focusing on ceramics.

Camp management faces ongoing challenges related to communication and staff organization. Henderson et al. (2007) noted that recruiting competent and caring staff, counselors, and coaches is among the greatest challenges for camp directors. Employee retention is critical for organizational cohesion: a 2011 survey by a regional camping association found staff retention rates ranging from 25% to 75%, with an average return rate of 50% (1 as cited in 45). A 2018 ACA study further reported that 60% of camp staff intended to return for the following summer (3). Understanding the motivational tendencies of staff can aid directors in interpreting and predicting employee behaviors and overall job performance (42).

Camp Mid-East, the location for this case study, is a co-ed camp founded in 1953. At the time of data collection, this camp hosted more than 400 youth campers and offered a variety of activities with a focus on recreational programming, over an 8-week period during the summer. Campers participated in sports such as baseball, basketball, gymnastics, sailing, and soccer and non-sport activities like ceramics, robotics, cooking, and other crafts. Camp Mid-East operated under the core values of gratitude, attitude, and courage, which are defined through thankfulness, attitude as a daily choice, and courage through everyday actions. Staff, counselors, and coaches, primarily college students, complete a multi-day training program covering safety, camper profiles, and team-building.

LITERATURE REVIEW

Outdoor recreation, such as camping, has many benefits. Bultena and Klessig (1969) identified significant psychological relief from participating in recreational camping, a theme reinforced by later studies (c.f. 29). These works highlight how immersion in nature reduces stress, improves mood, and enhances well-being, which aligns with more recent research on the mental health benefits of outdoor environments (17, 52). Beyond psychological relief, camping fosters independence and resilience by requiring participants to complete tasks like cooking and cleaning while promoting social bonding and community-building, particularly in youth settings (28, 26, 48, 59). One popular form of camping, residential or sleep-away camping, offers an immersive environment where participants live together for extended periods, facilitating unique social and developmental opportunities. Camps employ staff, counselors, and coaches who play a critical role in facilitating meaningful experiences for youth participants and ensuring the successful operation of residential camps (48).

Challenges Faced by Camp Staff

Burnout of camp staff has become a critical concern for camp administration, mirroring challenges faced in coaching and other high-stress professions. Kelley (1994) explored burnout in coaches, identifying it as the result of prolonged exposure to stress, role conflicts, and emotional exhaustion. This research continues to expand to include summer camp coaches, who often face similar stressors. Camp coaches work long hours, manage the behaviors of young campers, and navigate interpersonal conflicts, all of which contribute to emotional fatigue, stress, burnout, and turnover (45, 58, 63).

As McCole et al. (2012) noted, key factors contributing to burnout are seen as important topics by the ACA. Amonett (2021) underscores the importance of creating mentally healthy environments through strategies like regular check-ins, fostering open communication about mental health, and offering proactive support to staff. For instance, recognizing early signs of burnout, such as behavioral changes or social withdrawal, allows camp administrators to intervene before these issues escalate. Moreover, Amonett (2021) advocates for a culture in which leaders share their own mental health experiences, helping to foster a supportive atmosphere where staff feel comfortable seeking assistance. This proactive approach reduces burnout, enhances staff performance, and improves the camper experience. Wahl-Alexander, Richards, and Washburn (2017) found that the physical and emotional demands placed on camp staff and inadequate organizational support significantly increased the likelihood of staff not returning after just one season.

Recent studies have highlighted ongoing challenges related to staff burnout and retention, particularly during periods of increased operational and societal stress. Camps have faced difficulties retaining experienced staff members, resulting in a greater reliance on less experienced counselors and coaches (10, 14). Edwards et al. (2013) emphasized the importance of implementing comprehensive support structures to help staff navigate these intensified demands, including effective communication systems and emotional support resources. These efforts are essential in promoting staff wellness, as fostering a healthy work environment reduces burnout and improves staff retention. Camps prioritizing their staff’s mental and emotional well-being may be better positioned to provide high-quality experiences for campers, resulting in more positive outcomes for both staff and participants.

Leadership and Managerial Practices in Camps

One of the most effective tools for aligning staff with the goals and values of an organization is the use of a mission statement. A well-crafted mission statement provides a clear sense of purpose and guides decision-making and conflict resolution (36, 53). Mission-driven leadership fosters a sense of belonging and purpose among staff, enhancing job satisfaction and performance (36, 46, 53). Braun et al. (2012) highlight that the rationales behind mission statement development, such as motivating employees and promoting shared values, are positively associated with various organizational outcomes, including staff engagement and performance. Clear communication of a mission statement enhances job satisfaction and reduces turnover rates.

Additionally, aligning mission statements with organizational structures and involving stakeholders in their development contributes to their overall effectiveness. This alignment fosters clarity of purpose among staff, thereby enhancing job satisfaction and alleviating confusion regarding roles and expectations. Furthermore, effective mission statements can serve as motivational tools, significantly influencing employee behavior and organizational commitment.

While the personal and emotional experiences of campers and staff are well-documented, fewer studies have examined the impact of managerial practices on camp operations and staff satisfaction. However, research consistently emphasizes that leadership plays a critical role in shaping the camp experience for both campers and staff. Strong leadership, effective communication, and clear operational guidelines are essential for creating a positive work environment, directly influencing staff satisfaction and retention. Leaders who engage in transparent communication foster a supportive organizational culture, improving team dynamics and encouraging staff to feel valued and motivated to stay longer (21, 31, 47). Additionally, well-structured leadership frameworks that provide autonomy, competence, and relatedness further enhance employee engagement and increase staff retention rates (43).

Camp counselors and coaches can thrive in environments where expectations are clearly defined and where they feel supported by administrative leadership. Halsall and Forneris (2018) found that organizational support is critical in reducing burnout among camp counselors. Their study revealed that when staff have access to necessary resources and open communication channels, they experience lower levels of burnout and are more likely to return for multiple camp seasons. This idea aligns with broader research, consistently highlighting the importance of leadership clarity and effective managerial practices in maintaining employee satisfaction and well-being. Tian et al. (2020) emphasized that transformational leadership, characterized by clear communication, goal setting, and a supportive environment, significantly improves employee retention by reducing burnout and enhancing job satisfaction. Similarly, Bailey et al. (2012) focused on predictors of burnout in camp staff, finding that leadership clarity and feelings of being valued and having well-defined expectations are critical factors in reducing burnout and improving staff well-being and retention.

While previous research has examined leadership, communication, and organizational support in various contexts, a gap exists in understanding how specific managerial practices affect camp staff satisfaction, particularly coaches. This study seeks to address this gap by exploring how implementing a mission statement, operational guidelines, and structured communication systems at Camp Mid-East impacts coach satisfaction. In an era of increasing challenges in retaining qualified staff, understanding the role of management practices in fostering job satisfaction is crucial. Camps that invest in clear communication, mission alignment, and operational support their position to retain staff and deliver high-quality programming to campers.

By investigating the link between managerial practices and staff satisfaction, this study contributes to the growing body of research on camp operations, offering practical insights for administrators aiming to refine their leadership strategies. Moreover, it underscores the need for camps to prioritize staff well-being and professional development as essential to operational success.

METHODS 

This current research study used a quantitative case design to explore the impact of managerial practices—specifically, the implementation of a mission statement, operational guidelines, and communication strategies—on coaching satisfaction at Camp Mid-East. Pre- and post-camp surveys assessed the effectiveness of these interventions, an approach well-suited for investigating complex, context-specific phenomena in real-life settings (62).

Research Design

A quantitative case study approach was selected to analyze how mission-driven interventions influenced coaching satisfaction. By focusing on a single camp, this design allowed for a detailed examination of the effects of the camp’s mission, guidelines, and communication on coaching satisfaction. Pre- and post-camp surveys enabled a comparative analysis, capturing changes in satisfaction over time and providing insight into the impact of these managerial strategies (19). The survey data gathered before and after the camp facilitated a matched analysis using inferential and descriptive statistics.

Data Collection

All counselors and coaches had the opportunity to participate in the study. Participants included male and female coaches aged 18–40 who could opt into or decline to participate in the survey. The study aimed to quantitatively assess coaching satisfaction across various experience levels. Given the limited sample size, the findings were intended to be context-specific to Camp Mid-East, aligning with the case study approach’s emphasis on in-depth, contextual insights (62).

A survey was developed to measure the impact of the camp’s mission, operational guidelines, and communication strategies on coaching satisfaction. The survey’s content validity was confirmed through a review by five residential camp athletic administration professionals at other camps (23, 24). Both pre-and post-camp surveys contained 16 Likert-scale questions (1 – strongly disagree to 4 – strongly agree), covering perceptions of the mission statement, operational guidelines, communication strategies, and overall satisfaction factors, such as salary (37). Participants were assigned unique identification numbers to maintain confidentiality, and only complete pre/post-camp surveys were included in the analysis.

An orientation session over two days introduced coaches to the camp’s mission, guidelines, and communication protocols. Additional weekly small group meetings throughout the camp reinforced these practices. Observations were conducted to ensure adherence to safety protocols and effective interactions between coaches and campers (50). Post-camp surveys were administered at the camp’s conclusion. All data was securely stored to ensure confidentiality (55).

Data Analysis

Descriptive statistics summarized overall trends in coaching satisfaction, focusing on items related to mission alignment, communication, and policy implementation. This analysis provided a comprehensive understanding of the changes in satisfaction and the effectiveness of the managerial interventions (39). A Wilcoxon Matched-Pairs Signed-Rank Test was used to compare pre- and post-camp survey responses, as this nonparametric test is appropriate for ordinal data from paired samples in small sample studies (22). The Wilcoxon Matched-Pairs Signed-Rank Test was chosen because it is well-suited for analyzing paired ordinal data, such as Likert-scale survey responses, without assuming a normal distribution. Given the small sample size and the use of pre- and post-surveys from the same participants, this nonparametric method provided a robust approach to detecting meaningful changes in coaching satisfaction over time.

RESULTS 

Statistical analyses evaluated coaches’ perceptions of mission statements, policies/procedures, effective communication, and compensation and administrative support satisfaction. Surveys were distributed to all 68 counselors and coaches in the study population. Of these, 65 surveys were usable for analysis, resulting in a response rate of approximately 95%. The survey assessed coaches’ and counselors’ perceptions of organizational goals, communication, policies, compensation, and overall satisfaction within the camp setting.

The survey descriptive results and statistical analyses presented in Tables 1 and 2 provide participant responses before and after camp across four core areas: Communication, Guidelines, Mission, and Satisfaction. Table 3 provides a closer look at the data that resulted in statistical significance. These findings shed light on both stable and variable aspects of participant perceptions.

Communication

As shown in Table 1, Communication items maintained high scores from pre- to post-camp. For instance, item 5 (communication) reflects the highest levels of satisfaction with minimal variability, with a pre-camp mean of 3.89 (SD = 0.31) and a post-camp mean of 3.92 (SD = 0.32). This stability suggests a broadly positive perception of camp communication practices.

In contrast, items 11 and 12 experienced declines in satisfaction, as depicted in Table 1. For item 11, the mean decreased from 2.61 to 2.25, and item 12, from 2.25 to 1.95, indicating areas where communication may not have fully met participant expectations. The increase in standard deviations for these items highlights more significant response variability, which may point to inconsistent communication experiences among participants.

Guidelines

Responses related to the camp’s guidelines displayed variability, with some items improving slightly and others showing minor declines (see Table 1), suggesting mixed responses. For example, item 2 saw a slight decrease in mean from 3.62 to 3.49, while item 4 showed an increase from 3.57 to 3.63, with a reduced standard deviation. This mixed response may suggest varying interpretations or clarity regarding guidelines among participants.

Mission

As outlined in Table 1, responses regarding the camp’s mission remained consistent, though slight declines were noted in items 3 and 7. Item 3 decreased from a mean of 3.67 to 3.45, while item 7 showed a minimal drop from 3.05 to 3.02. Although these differences were not statistically significant, the results indicate that reinforcing the camp’s mission throughout the experience may improve participant alignment with camp goals.

Satisfaction

The satisfaction category, summarized in Table 1, showed the most pronounced declines, particularly in items 6, 14, and 16. Item 6, for example, dropped from a pre-camp mean of 2.62 to a post-camp mean of 2.25. The increased standard deviations in these items suggest diverse individual experiences, indicating that some participants may have felt less satisfied with aspects of the camp as it progressed.

Statistical Analysis

A Wilcoxon Signed Ranks Test was conducted to assess changes between pre- and post-camp responses, with results presented in Table 2. This nonparametric test, suitable for paired samples with non-normally distributed data, identified significant and non-significant changes. Table 3 represents statistical significance related to the pre/post survey with a summary of this below.

Significant Differences

Items pre/post Q6: As indicated in Table 2, this item demonstrated a statistically significant change, with a Z-score of -3.138 and a p-value of .002. This reflects a notable decline in satisfaction, consistent with findings in Table 1.

Items pre/post Q11: Table 2 shows that this item also experienced a significant change (Z = -2.800, p = .005), suggesting a meaningful decrease in participants’ perceptions of communication quality.

Items pre/post Q14: This item, with a Z-score of -2.318 and a p-value of .020, reflects another statistically significant drop in satisfaction.

Non-Significant Differences

Other items not displayed in Table 2 did not exhibit statistically significant changes, with p-values above 0.05. For example, items 1.1 – 2.1 (Z = -0.352, p = .725) and 1.7 – 2.7 (Z = -0.354, p = .724) indicate stable perceptions, suggesting that responses for these items remained consistent from pre- to post-camp.

Summary of Findings

This case study examined the effects of targeted managerial interventions—including a mission statement, operational guidelines, and structured communication strategies—on coach satisfaction at Camp Mid-East. Sixteen survey items were used to measure pre- and post-camp perceptions across four key domains: communication, guidelines, mission alignment, and satisfaction.

Analysis revealed that three of the sixteen items (19%) showed statistically significant declines from pre- to post-camp, while the remaining thirteen items (81%) showed no significant change, indicating generally stable perceptions across most areas. The three items that did significantly decline were:

Item 6 – Satisfaction with compensation: declined from a mean of 2.62 to 2.25 (p = .002),

Item 11 – Clarity of communication from supervisors: dropped from 2.61 to 2.25 (p = .005),

Item 14 – Perceived administrative support: decreased from 2.62 to 2.30 (p = .020).

While these declines highlight areas for improvement, other items remained stable or even slightly improved. For instance, Item 5 (general satisfaction with communication) retained high ratings from pre- to post-camp (3.89 to 3.92), and Item 4 (clarity of camp guidelines) showed a modest increase (3.57 to 3.63), albeit not statistically significant. Items tied to the camp’s mission—such as Item 3 (understanding of the mission) and Item 7 (alignment with camp values)—remained relatively consistent but saw slight, non-significant declines (3.67 to 3.45 and 3.05 to 3.02, respectively).

Further, while communication was a consistent strength across most items, variability emerged in responses to Items 11 and 12, indicating that not all staff experienced communication equally. This points to an opportunity to refine communication systems to ensure consistent clarity and access to information for all team members.

The results in the guidelines and mission domains suggest mixed interpretations or engagement, with no statistically significant changes but some variability in mean scores. These findings imply that while the structural interventions were clearly introduced, their reinforcement throughout the camp may have been uneven or insufficient to shift perceptions meaningfully.

The most notable shifts occurred in the satisfaction domain, where items related to compensation, administrative support, and overall experience revealed declines. These results suggest a potential disconnect between staff expectations and their lived experiences, especially as the camp progressed.

While the interventions did not produce widespread statistically significant changes, the findings reflect the complexity of staff satisfaction in seasonal camp environments. Importantly, this case study is not intended to produce generalizable outcomes but rather to offer context-specific insights that contribute to the broader conversation on leadership, organizational practices, and staff well-being in recreational settings. These exploratory results underscore the need for continued, multi-site research that investigates the long-term and cumulative effects of managerial strategies on staff engagement and satisfaction in youth camps and similar settings.

DISCUSSION 

This study aimed to bridge the gap in the literature by examining the effects of managerial practices—specifically the implementation of a mission statement, operational guidelines, and structured communication—on coach satisfaction in a summer camp setting. While previous research has focused on the benefits of camping for participants and the psychological effects of outdoor experiences (29, 61), less attention has been given to the experiences of camp staff, particularly coaches. Even fewer studies have explored how leadership and organizational strategies within camps impact the satisfaction, retention, and overall effectiveness of these staff members.

Key Findings

The results of this study indicate that implementing a mission statement, operational guidelines, and structured communication strategies led to slight improvements in coach satisfaction at Camp Mid-East in some areas, while other areas showed statistical significance. These finding aligns with existing research that emphasizes the importance of organizational clarity in enhancing job satisfaction and reducing burnout in recreational and educational settings (8, 58). Coaches at Camp Mid-East reported higher levels of satisfaction with their roles and responsibilities following the introduction of these managerial tools, supporting previous studies suggesting that clear communication and aligned organizational goals can significantly improve staff morale (32, 56).

The most notable improvement was observed in communication, with coaches reporting increased satisfaction regarding their ability to receive timely updates and feedback from camp leadership. This finding echoes the work of McCole et al. (2012), who found that open and consistent communication is a key factor in employee satisfaction. Furthermore, the structured weekly meetings and open-door policy implemented at Camp Mid-East allowed coaches to feel more connected to the camp’s leadership, thereby reducing misunderstandings and fostering a more collaborative work environment. This also aligns with Edwards et al. (2013), which highlighted that camps with robust communication strategies were more successful in retaining staff year after year.

The findings of this study are consistent with a growing body of literature that underscores the importance of organizational support and clarity in maintaining staff satisfaction. For example, Wahl-Alexander et al. (2017) found that camp counselors who received clear organizational support experienced lower burnout and higher job satisfaction levels. Similarly, research on youth sports coaching has highlighted the role of communication and mission alignment in improving the performance and retention of coaches (32, 56).

However, this study builds on existing research by focusing on the managerial practices of a summer camp’s athletic department. While past studies have examined the role of leadership in outdoor recreation settings broadly, few have investigated how specific managerial tools, like mission statements and operational guidelines, directly influence the job satisfaction of camp coaches. By implementing these tools at Camp Mid-East, this research provides evidence that aligning staff with a clear mission and operational structure can improve their satisfaction and effectiveness. Additionally, literature has underscored the importance of organizational clarity in the context of post-pandemic challenges. Amonett (2021) highlighted the growing need for camps to support their staff through improved communication and operational guidelines, especially as camps face new challenges related to staff shortages and increased emotional demands.

Bridging the Gap in Existing Research

This study addresses a significant gap in the literature by examining the relationship between managerial practices and coach satisfaction within residential camps. Previous research has focused on campers’ experiences or the broader benefits of camping, while camp life’s operational and managerial aspects have yet to receive much attention. Although studies on burnout and staff retention highlight the need for better support systems, few have investigated managerial tools that can prevent burnout and enhance job satisfaction (8, 58).

The findings suggest that implementing a clear mission statement, operational guidelines, and structured communication systems improves coach satisfaction and addresses staff retention and performance challenges. High turnover rates disrupt camper experiences and create operational difficulties. This research demonstrates that these managerial tools can effectively enhance coach satisfaction, providing practical solutions for camp administrators to improve staff retention and performance.

Furthermore, this study builds on prior findings by illustrating how mission-driven leadership aligns staff with the camp’s broader goals. Previous research, such as Braun et al. (2012), has emphasized the significance of mission statements in organizational contexts. This study extends that work by providing empirical evidence that effectively communicated and reinforced mission statements positively impact staff satisfaction in summer camps.

CONCLUSION 

This study contributes to the growing body of research on organizational leadership in residential camps by providing empirical evidence that managerial practices—specifically, the use of a mission statement, operational guidelines, and structured communication—can positively impact coach satisfaction. While the observed improvements were modest in some areas, the findings underscore the value of clear organizational strategies in fostering a supportive and effective work environment for seasonal staff. As camps continue to face post-pandemic staffing challenges, these results offer actionable insights for camp administrators seeking to enhance staff morale, retention, and overall program quality.

APPLICATIONS IN SPORT

The findings of this case study offer practical insights for those working in sport-based summer camps and similar youth sport environments. While the managerial interventions at Camp Mid-East—implementation of a mission statement, operational guidelines, and structured communication—did not produce widespread statistical changes, they did yield important lessons for camp leaders, coaches, and administrators. Specifically, three areas—compensation satisfaction, clarity of communication from supervisors, and perceived administrative support—emerged as key concerns, with significant declines observed from pre- to post-camp.

For coaches and activity leaders, these results highlight the importance of consistent communication and feeling supported by leadership. Structured communication systems (such as weekly check-ins, feedback loops, and open-door policies) were well received in some areas, but inconsistencies noted in supervisor communication suggest a need for clearer messaging across all levels of staff. Coaches benefit from knowing what is expected of them, how their performance is evaluated, and where to seek help or guidance during high-stress moments in the camp season.

For camp directors and sport program administrators, the study underscores that even well-intentioned managerial tools must be implemented thoughtfully and reinforced consistently. Simply introducing a mission or set of guidelines at orientation may not be sufficient. Ongoing reinforcement throughout the season—through meetings, signage, and leadership modeling—is likely needed to help staff internalize and act upon those values. Additionally, the findings on declining satisfaction around administrative support and compensation suggest that camp leaders should consider how recognition, feedback, and fair treatment can impact staff morale, especially in high-demand roles like coaching.

For parents and guardians, this study provides assurance that some camps are working toward building stronger support structures for the individuals entrusted with leading and mentoring their children. Staff who feel supported and valued are more likely to provide positive, consistent experiences for campers—both on and off the field.

Finally, for researchers and sport management professionals, the results support the need for continued study into seasonal staff satisfaction and retention in sport-specific contexts. Although the findings of this single case are not generalizable, they open the door for further exploration of how mission-driven leadership and communication frameworks can influence staff outcomes in youth sport and recreation.

By grounding conclusions in the actual data and acknowledging where changes did and did not occur, this study contributes to a growing dialogue about staff well-being in sport settings. It invites practitioners to ask not just what policies are in place, but how they are implemented, communicated, and experienced by staff in real time.

LIMITATIONS AND FUTURE DIRECTIONS

While this study provides valuable insights into the impact of managerial practices on coach satisfaction, several limitations must be acknowledged. The small sample size restricts the generalizability of the findings to larger camps or recreational settings. Future research could investigate the applicability of these findings to diverse types of camps and examine the long-term effects of these managerial practices on staff retention and performance.

Engaging leadership, which fosters autonomy, competence, and relatedness, has increased staff engagement and satisfaction (44). By focusing on inspiring, strengthening, and connecting employees, such leadership styles enhance team effectiveness, improve retention, and increase commitment to the camp’s mission and values. This alignment of leadership behavior with critical psychological needs creates an environment where staff feel supported and valued, leading to sustained engagement over time.

Additional limitations were the way in which methods and mediums of communication guidelines and mission messaging were delivered to counselors and coaches. Lines of communication were offered but may have yet to be shown to be the best ways of communication during a summer camp setting. Feedback during camp on the best communication mediums should have been offered to counselors and coaches.

These findings are especially relevant for Camp Mid-East, as staff often navigate multifaceted roles while working with youth from diverse backgrounds. Aligning leadership with engaging principles—such as fostering connection and inspiration—can significantly enhance staff morale and retention (44, 16). Reduced staff turnover strengthens the relationships between staff and campers, improving overall program quality. By investing in leadership and operational strategies prioritizing staff well-being, camps can continue delivering high-quality programming and cultivating an enriching environment for campers and staff.

It should be noted here that while the findings offer useful insights into how managerial practices may influence coach satisfaction, it is important to note that only a small number of statistically significant changes emerged. Specifically, three of the sixteen survey items showed meaningful differences from pre- to post-camp, suggesting that the interventions—while thoughtfully implemented—had limited measurable impact over the short camp session. Most responses remained stable, indicating that while communication, guidelines, and mission alignment were introduced, they may not have been reinforced consistently enough to shift perceptions across the board. These results should limit expectations about the immediate effectiveness of such practices and reinforce the need for ongoing support, sustained implementation, and further research across multiple settings to better understand how managerial strategies contribute to staff satisfaction in seasonal camp environments.

Additionally, while this study focuses on coach satisfaction, future research should explore the effects of managerial practices on other aspects of camp staff performance, such as leadership development and camper outcomes. Investigating how these managerial tools influence staff performance across various domains could yield a more comprehensive understanding of the factors contributing to successful camp operations.

This study contributes to the growing body of literature on camp management by highlighting the often-overlooked role of managerial practices in shaping staff satisfaction, particularly in summer camp athletics. The research demonstrates that implementing a mission statement, operational guidelines, and structured communication systems enhances coach satisfaction at Camp Mid-East. These findings align with previous studies emphasizing the importance of organizational clarity, communication, and leadership in reducing burnout and improving job satisfaction among camp staff (8, 32, 58).

By addressing existing research gaps, this study underscores the practical significance of mission-driven leadership and clear operational structures in maintaining high staff satisfaction. As camps face increasing staffing challenges and operational demands—particularly in the post-pandemic landscape—this research offers actionable insights for camp administrators seeking to enhance management strategies. Camps that prioritize staff well-being through effective communication and organizational support are better equipped to retain experienced personnel, improving the overall camp experience for campers and staff.

While the study’s findings are valuable, limitations such as the small sample size and focus on a single camp indicate the need for further research to explore how these managerial practices impact staff in diverse camp settings. Future studies could examine the long-term effects of these interventions on both staff retention and camper outcomes, enhancing our understanding of how leadership strategies influence the success of camp programs. This study emphasizes the importance of effective leadership and organizational practices in enhancing job satisfaction among camp staff, providing a framework for camp administrators to create supportive, mission-driven environments that foster staff well-being and camp success.

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2025-09-25T15:13:42-05:00October 24th, 2025|Research, Sport Education, Sports Coaching, Sports Facilities, Sports Health & Fitness|Comments Off on Managerial practices and coach satisfaction: A summer camp recreation and athletics case study 

The Novelty of New Stadiums: Evidence from 40 Years in Major League Baseball 

Authors: Richard Flight1 and Mark Mitchell2

Mark Mitchell, DBA

Professor of Marketing

Associate Dean, Wall College of Business

NCAA Faculty Athletics Representative (FAR)

Coastal Carolina University

P. O. Box 261954

Conway, SC 29528

[email protected]

(843) 349-2392

Richard Flight, PhD is Associate Professor of Marketing at Coastal Carolina University in Conway, SC. He previously worked in minor league baseball with the Memphis Redbirds and Birmingham Barons as well as Division I college athletics at Samford University.

Mark Mitchell, DBA is Professor of Marketing at Coastal Carolina University in Conway, SC. He has served for 10 years as the NCAA Faculty Athletics Representative (FAR). He has conducted much research on minor league sports.

The Novelty of New Stadiums: Evidence from 40 Years in Major League Baseball

ABSTRACT

Purpose: The purpose of this study is to advance a new model to estimate the stadium novelty effect for newly-built Major League Baseball (MLB) stadiums over the last 40 years. Unlike prior studies that use nominal annual attendance data, this study uses marginal attendance change to capture the impact new stadiums have on attendance when mitigating (or controlling for) the impact that team performance has on attendance.

Methods: The incidence of the construction of new MLB stadiums is identified over a 40+ year period. Using a difference-in-differences (DiD) method, a base attendance model is estimated. Then, the new stadium construction observations are added to capture the effect they have on predicted attendance. Unique to this study, marginal change in attendance is used rather than change in (absolute) nominal attendance. Year-over-year percentage change in attendance helps nullify key deficiencies in prior studies such as stadium size disparities and variations in market size. Additionally, this research combines the effects of extensive team performance variables and player salaries to control for non-stadium externalities which also impact attendance.

Results: There have been 23 new MLB stadiums built from 1980-2023. Stadiums for expansion teams or team relocations are not included in this study. Collectively, the MLB teams that built new stadiums see, on average, a 29.6% increase in attendance during the first year in the new stadium with effects lasting up to 21 years. When controlling for other factors (player salaries, winning percentage and other team statistics) the novelty effect is significant (b = .216) in multiple regression analysis.

Conclusion: Teams that build new baseball stadiums can expect an increase in attendance when controlling for team performance and player salaries. This effect holds even while some new stadiums were purposefully built to have fewer fans and offer a ‘closer-to-game’ fan experience. In other cases, the addition of luxury boxes reduced the number of available seats but added a class of seats that demand a premium price from consumers. This strategy allowed teams to cultivate new fans and new revenue streams for their teams.

Application in Sport: A baseball stadium is a fixed asset with an anticipated lifespan. No stadium lasts forever in its original form. At some point, a stadium must be remodeled or replaced to meet the needs of current consumers or fans may shy away from attending games. New stadiums can help grow attendance, diversify the fan base, and develop new revenue streams to help teams compete financially in Major League Baseball.

Key Words: stadium novelty effect; Major League Baseball; attendance; new stadium construction; franchise expansion

The Novelty of New Stadiums: Evidence from 40 Years in Major League Baseball

INTRODUCTION

Ballpark managers, team owners, and city officials often cite lagging attendance as the prime reason to build new sport facilities and stadiums. They argue an out-of-date stadium discourages fan attendance and recommend the investment in new-and-improved stadiums. A key goal associated with building a new facility is revenue growth by increasing fan attendance with the promise of an enhanced fan experience, often with an expanded premium ticket and entertainment options. These new facilities often offer operating efficiencies with the use of new technology to lower operating costs and boost profit margins for stadium operators (28).

Historically, when a team builds a new stadium their observed attendance goes up (35). Anecdotally, a new facility brings greater enthusiasm from not only the fan base but also from media partners, advertisers, and players that see grandeur in the new stadium. For example, the Atlanta Braves moved from Turner Field (located in downtown Atlanta) to then-named SunTrust Park (located in the northern suburbs) in 2017. Total attendance for the first season at Sun Trust Park increased approximately 24% over the final season at Turner Field. The new stadium offered a comprehensive gameday experience including dining and shopping that went beyond a traditional baseball game. Further, the suburban location was more accessible to many fans, including expanded parking facilities (32). Though fan attendance can sometimes decline after the opening year (38), the average attendance per game in Atlanta’s SunTrust Park actually increased in year two and year three (3).

The purpose of this study is to advance a new method to estimate the Stadium Novelty Effect in Major League Baseball by examining newly-built MLB stadiums and the associated attendance figures over a 40+ year period. First, a brief description of relevant literature is provided. Next, the study methods are presented as well as the data analysis plan. Finally, the findings are presented and the implications for baseball team owners and communities are advanced.

THE IMPACT OF NEW STADIUMS IN SPORT

Fan Attendance and the Fan Experience

The phenomenon of attributing increased fan attendance to the introduction of a new stadium is known as the Stadium Novelty Effect (2, 7, 8, 14, 18, 27). This effect, also referred to as the Honeymoon Effect (4), has been observed in numerous applications including: European soccer (10, 35); baseball (6); basketball (5); and hockey (18).

There is broad agreement that attendance tends to increase with the introduction of a new stadium. There is less agreement on the duration of this positive impact on attendance. In early literature by Noll (26), the stadium novelty effect was estimated to last somewhere between seven and eleven years. More recently, Hamilton and Kahn (16) estimate a much shorter three-year duration of this temporary surge in attendance. Others suggest the temporary upward shift is followed by a return to the original attendance levels with limited long-term benefits (14, 36). Howard and Crompton (18) conclude that the initial stadium novelty effect is limited often to just a single year with eventual declines after the first year in the new facility after studying NFL, MLB, NBA and NHL leagues. Most recently, Bradbury (5) suggested a new stadium will bring an initial surge in attendance that breaks down over the initial ten-year period.

One motivation for new stadium construction and renovation is the fan’s experience based upon the facility and its service environment. It must be noted, however, that sport fans can vary in their degree of fandom and their subsequent expectations during game attendance. Both Hoehn and Szymanski (17) and Porat (30) detail a spectrum from casual to involved or committed. Meanwhile, Samra and Wos (33) provide a fan typology including temporary, devoted, and fanatical.

A seminal question to ask is ‘how do fans derive value from the ballpark experience?’ To varying degrees fans value the quality of on-the-field performance. They also value the experience of a game delivered in a safe, clean, and exciting environment provided by a new stadium. Frequently the call for greater amenities is made in the argument for building a new stadium. In fact, it is asserted that new stadiums may become attractions within themselves regardless of team performance (1, 18). The new stadium setting incorporates features that modern, state-of-the-art facilities are expected to have. The ‘stadium as an attraction’ position suggests that fans immerse themselves in the new stadium atmosphere regardless of team performance. In essence, the team’s performance may not be great, but the atmospherics of the stadium creates a pleasurable experience worth the cost and worthy of repeatedly returning for another game. In short, some fans place greater value on the on-field product, whereas others place it on the atmosphere and conditions of the stadium.

While fan experience is vital, the fan base’s devotion to the team and team brand will certainly influence their willingness to attend games. Some teams are known to have loyal fans and seemingly have little trouble reaching stadium capacity. The Chicago Tribune ranked all 30 major league baseball teams by team value (34). Not surprisingly, there is a significant correlation (r = .66) between this team valuation and average team attendance since 1980 (3). These estimated team valuations are provided in Table 1.

Table 1: MLB Teams Ranked by Team Valuation (with Corresponding Fan Attendance) 

Rank Team 2024 Valuation ($B) Average Home Attend (1980-2023) 
New York Yankees 5.59 2,986,328 
Arizona Diamondbacks 4.28 2,353,169 
Los Angeles Dodgers 3.75 3,333,426 
Chicago Cubs 3.67 2,619,327 
Boston Red Sox 3.6 2,583,650 
San Francisco Giants 3.21 2,501,129 
New York Mets 2.48 2,486,904 
St. Louis Cardinals 2.235 2,998,742 
Philadelphia Phillies 2.22 2,339,642 
10 Houston Astros 2.19 2,167,333 
11 Atlanta Braves 2.165 2,297,852 
12 Los Angeles Angels 2.04 2,737,988 
13 Washington Nationals 2.0 1,760,801 
14 Texas Rangers 1.84 2,285,151 
15 San Diego Padres 1.65 2,084,153 
16 Seattle Mariners 1.62 2,009,274 
17 Chicago White Sox 1.54 1,845,744 
18 Toronto Blue Jays 1.53 2,460,458 
19 Minnesota Twins 1.52 1,982,394 
20 Baltimore Orioles 1.46 2,425,704 
21 Cleveland Indians 1.375 1,843,168 
22 Colorado Rockies 1.36 2,769,199 
23 Detroit Tigers 1.33 2,144,746 
24 Cincinnati Reds 1.325 2,016,894 
25 Oakland Athletics 1.3 1,769,573 
26 Milwaukee Brewers 1.29 2,132,008 
27 Pittsburgh Pirates 1.26 1,679,759 
28 Miami Marlins 1.14 1,464,552 
29 Kansas City Royals 1.1 1,845,441 
30 Tampa Bay Rays 1.03 1,400,312 

New Stadiums in MLB

While an expensive and disrupting proposition, building a new stadium is somewhat common in Major Lague Baseball. From 1980-2023, 23 new stadiums were built for non-expansion or relocation teams. Additionally, 5 other new stadiums were built for new franchises (including the Montreal Expos move to Washington, DC). The timing of new stadium constructions between 1980 – 2023 is presented in Figure 1. An overview of the stadiums themselves is provided in the Appendix.

Figure 1: Newly-Built Major League Baseball Stadiums by Year (1980-2023) 

Over a thirty-year span the positive impacts of the new stadium effect have been measured by researchers using a variety of methods. Calculating the aggregate impact of new stadiums in Major League Baseball, Fort (11) provides a methodology typical of this research that specifies the difference between the first year in the new stadium and the previous five-year’s averages for those teams that built new stadiums. Fort (11) finds the change in attendance for a select period to be a positive net increase of 624,000 fans for teams that built new stadiums. Conversely, those teams that did not build new stadiums realized a net increase of 96,000 fans over the same time period.

While this common approach speaks to the impact new stadiums have on league attendance, debate continues as to the team and market specific nature of the stadium novelty effect and how to best measure them. Recently, van Ours (35) employed a ‘difference-in-differences’ (DiD) method with a sample of 8 Dutch stadiums. Here, the researchers used a control group to establish an initial model, then introduced new stadium data and observed the change or difference between the two in a two-way fixed effect regression.

This study also uses the ‘difference in differences’ (DiD) method. Unlike prior studies that use attendance per team while also employing time-dependent independent variables, this study uses percentage change in attendance from the immediate prior year for each team including those with new stadiums. Using marginal (or percentage) change in attendance from the prior year marks a deviation from prior studies that use nominal annual attendance as the dependent variable with additional prior years attendances as independent variables. Using prior attendance as independent variables, as in time series modeling, generates significant multi-collinearity concerns and effectively overfits most lagged time series or autoregressive moving average (ARIMA) models. Using nominal change in attendance from one year prior does not carryover anticipated attendance which tends to overfit the model. Further, the use of marginal annual change mitigates the effects of wide variations in both stadium and market sizes across the vast time horizon studied here.

METHODS

This study uses Major League Baseball attendance records, team on-field performance, and new stadium construction data from the 1980 through 2023 playing seasons. In all, 30 teams are represented in the total data set with 23 new stadiums built during that 40+ year time span. The initial subject pool includes Major League Baseball (MLB) team attendance and performance data from 1979 through 2023 which were accessed and downloaded from the data aggregator baseball-reference.com (a depository for sports performance data). The data analysis plan for this study consisted of three stages.

Stage One

The purpose of Stage One is to collect team performance and fan attendance data. Refinements will be made to the data where warranted. For example, team relocations or the awarding of expansion teams do not offer a before-and-after scenario to analyze the stadium novelty effect. So, the data for these years will be excluded. In addition, data attached to seasons that experienced work stoppages are also excluded as it is assumed attendance figures tied to these reasons are atypical for a variety of reasons (such as fan resentment, etc.). Finally, fan attendance data during the COVID-19 period were eliminated as fan attendance limits, public health concerns, and lingering fan apprehension to attend group events impacted game attendance.

Stage Two

The purpose of Stage Two is to develop a base model to predict fan attendance in the absence of a new stadium using the difference-in-difference methodology. Then, team performance and team salary data for each year and team is regressed on the percentage change in team attendance from year to year (the dependent variable). This model can be used to predict attendance and will be later extended to include the effects of new stadiums in Stage Three.

Stage Three

The purpose of Stage Three is to add new stadium attendance observations to the base model along with the addition of a dummy variable to identify these figures as attached to the introduction of a new stadium. It is here that the final results are calculated and the summary findings advanced.

PRESENTATION OF DATA ANALYSIS

Stage One – Refining the Sample Size

Team performance and attendance data were downloaded by team and year from 1980-2023 (inclusive). 26 teams played from 1980-1992, with expansion to 28 teams in 1993, and then again to 30 teams in 1998. Counting each team during this time span, there are 1,288 observations in the initial data set. As previously noted, this study uses a ‘difference-in-differences’ or DiD approach. Bradbury (5) states “a primary concern with DiD comparisons is the selection of control units that are devoid of treatment effects; therefore, it is imperative to exclude observations of teams that may be experiencing novelty influences from existing venues or entering new markets through team relocations and league expansions.” For this reason, new stadium observations were omitted for expansion franchises, including Colorado (1993), Florida (1993), Tampa Bay (1998), and Arizona (1998). Additionally, the relocation of the Montreal Expos to Washington, DC in 2005 was also omitted given the new stadium in a new market had no comparable previous season attendance data.

Impact of Labor Disputes. During the timeline of the study, there were two significant work stoppages (1981 and 1994) due to labor-management disputes. These years pose two challenges observed in the data.

During each strike year, the dependent variable (percent change in attendance) was (on average) noticeably lower than expected.

During the year following the 1981 strike (1982), the dependent variable was (on average) noticeably greater than expected.

These two anomalies lead to an uncontrollable externality that isn’t explained by performance, marketing, or stadium effects and warrant exclusion. As such, the seasons of 1981, 1982, and 1994 are excluded from this analysis.

Impact of COVID-19 Global Pandemic. The 2020 MLB regular season was reduced to 60 games and played without fans. The post-season was played at neutral sites (Globe Life Field Arlington, TX; Minute Maid Park in Houston, TX; Petco Park in San Diego, CA; and Dodger Stadium in Los Angeles, CA). Given the lack of fans (and attendance data), the 2020 season was excluded from this analysis.

Impact of Pent-Up Demand Following Global Pandemic. The lingering effects of COVID seem to decline during the 2022 season as evidenced by the spike in game attendance. This behavioral change by fans caused the dependent variable (percent change in attendance) to be greater than expected for the 2022 season. As illustrated in Figure 2, the reader will note the high and low spikes in average percent change in attendance. These ‘dips’ and ‘spikes’ represent externalities outside the scope of this study. As such, the 2022 season was also excluded from this analysis.

Figure 2: Average Percent Change in MLB Attendance by Year (1980-2023) 

Tracking the Revisions to the Sample. Collectively, five MLB seasons (1981, 1982, 1994, 2020, and 2022 we excluded from this analysis for the reasons noted above. Additional data adjustments included accounting for individual abnormal ‘outlier’ observations. Individual observation outliers are identified using Mahalonabis Distance2 analysis (15). In doing so, 117 observations are found to be structurally outside of the norm and were also excluded from this analysis. The final data set consists of 1,001 observations for study analysis. A summary of refinement process that affected the sample size is provided in Table 2.

Table 2: Summary of the Refined Sample Size Used in This Analysis 

 Existing Stadiums New Stadiums TOTAL 
All Years 1,206 23 1,228 
Excluding franchise expansion, relocations, strike and COVID effected years. 1095 23 1118 
Final sample excluding outliers. 978 23 1,001 

Stage Two – Creating the Base Model to Predict Attendance (Without New Stadium Data)

Following a difference-in-differences (DiD) methodology (see 5, 35), this stage creates a base model to predict attendance in the absence of any new stadiums. This base model specifies the predictive ability of team variables (such an on-field player performance and player salaries) on attendance. Team performance and salary data from each eligible team and year (i.e., where no new stadium or major stadium renovations occurred) is regressed on the percentage change in attendance (dependent variable). This base model will first be used to predict attendance while later this base model will be extended to include the effect of new stadiums.

While year-over-year marginal change in attendance is the dependent variable, the independent variables include team statistics for offense, defense, and pitching as well as total player payroll (see Table 3 for list of variables). Prior literature has incorporated a limited selection of performance variables and team salary and lagged prior year attendance to predict attendance. Our approach is to incorporate 28 performance variables simultaneously:

Team (4 variables)

Offense (13 variables)

Pitching (6 variables)

Defense (5 variables)

By doing so, the model is able to construct a broader test of variables which may affect attendance. As an economic growth component, payroll suggests that greater player payrolls translate into better on-field performance which impacts attendance (21). It should be noted that the model specification does not incorporate time dependent variables as one might find in a time series analysis. Thus, there is not a controlling element for economic inflation or timely building trends that may emerge over a 40-year time horizon. While league expansion has taken place, study does not use new stadiums as there is no pre- and post-construction paired data.

Table 3: Independent Variables Used in Base Model  

Variable Categories  Variable Description 
Team:  Salary Estimated player payroll. (Standardized) 
  Win Percentage Total wins divided by games played. 
  Home Win Percentage Total wins divided by games played at home only. 
  Run Difference Average difference in runs scored vs runs allowed. 
    
Offense:  Runs Scored per game Average runs scored per game. 
  Hits Number of hits in the year. 
  Doubles Number of doubles in the year. 
  Triples Number of triples in the year 
  Home Runs Number of home runs in the year. 
  Runs Batted In Number of Runs-Batted-In in the year. 
  Stolen Bases Number of bases stolen in the year. 
  Caught Stealing Times caught stealing in the year. 
  Batter Walks Number of walks in the year. 
  Batter Strike Outs Total batter strike outs in the year. 
  Team Batting Average Number of hits divided by at bats for the team. 
  On-Base Percentage Times reached base divided by plate appearances. 
  Slugging Percentage Percentage of hits weighted by based reached. 
    
Pitching:  Runs Allowed Per game Average runs allowed per game. 
  Team ERA Average runs given up divided by 9. 
  Hits Allowed Hits allowed by pitchers in a year. 
  Home Runs Allowed Home runs allowed in a year. 
  Walks Allowed Walks allowed in the year. 
  Strike Outs Pitched Strike outs pitched in the year. 
    
Defense:  Defensive Efficiency Estimate of balls in play that result in converted outs. 
  Assists Assists made in the year. 
  Errors Committed Errors committed in the year. 
  Double Plays Turned Double Plays made in the year. 
  Fielding Percentage (Putouts + Assists) / (Putouts + Assists + Errors) 

Using IBM’s SPSS (version 29.0.1.0) a liner regression is performed using a stepwise entry method for variable selection. This method allows the most attractive variables to be entered into the model first, while consecutively testing, dropping, and adding variables until the best-fitting model emerges.

Stage Three – Creating the Extended Model to Include New Stadium Data

Once a base model is estimated, new stadium attendance observations are added to the sample along with a dummy variable coded for new stadium observations. As noted earlier, 23 new stadiums (observations) are added during this stage which are reflected in this new variable. The new variable that is built into the model during this stage accounts for the presence of a new stadium, coded by ‘1’ while all other observations (existing stadiums) are coded ‘0’. If the stadium novelty effect exists, then the regression coefficient (beta) for the new dummy variable will be significant and the model fit (r2) will improve. Similar to Stage Two, the dependent variables were retained by using a stepwise entry method for variable selection. This stage provides a comparative model directed by the difference-in-difference approach.

RESULTS

Predictive Models

Base Model Without New Stadium Data. A primary goal of this study is to measure the stadium novelty effect while controlling for the influence of team performance and player salaries. During Stage Two, a base model is estimated using a stepwise regression which retained the best predictive variables and strongest model fit. The sample under investigation for base-mode specification has 978 observations resulting in an adjusted r2 fit of .198 and significant F statistic. (see Table 4).

Table 4: Base Model Fit Statistics and Coefficient Estimates 

R R Square Adjusted R Square Std. Error of the Estimate   
0.450 0.202 0.198 0.155   
      
 Sum of Squares Df Mean Square F Sig. 
Regression 5.579 1.116 46.429 <.001 
Residual 22.012 916 .024   
Total 27.591 921    
  Unstandardized Coefficients (Beta) Std. Error Standardized Coefficients (Beta) t Sig. VIF 
(Constant) -.977 .113  -8.627 <.001  
Winning Percentage .957 .084 .372 11.345 <.001 1.35 
Salary -.043 .007 -.251 -5.862 <.001 2.112 
Strikeouts / Game .025 .007 .159 3.648 <.001 2.189 
Hits .000 .000 .102 3.146 .002 1.197 
Stolen Bases .000 .000 .083 2.645 .008 1.120 

Extended Model Including New Stadium Data. Upon the addition of new stadium observations during Stage Three, the extended model demonstrates an increase in model fit (r2) from .198 to .230. Moreover, the new stadium dummy variable is significant (.001) and strong when compared to the other variable’s standardized betas, at .216, only “winning percentage” and “batting average” serve as better predictors of changes in attendance from year to year. (see Table 5).

Table 5: Extended Model (with New Stadium Variable) Fit Statistics and Coefficient Estimates 

R R Square Adjusted R Square Std. Error of the Estimate     
.486 0.236 0.230 0.157      
       
       
 Sum of Squares Df Mean Square F Sig.  
Regression 7.085 1.012 41.199 <.001  
Residual 22.921 933 .025    
Total 30.006 940     
       
       
  Unstandardized Coefficients (Beta) Std. Error Standardized Coefficients (Beta) t Sig. VIF 
(Constant) -.730 .072  -10.201 <.001  
Winning Percentage .950 .093 .359 10.240 <.001 1.502 
New Stadium .274 .037 .216 7.480 <.001 1.016 
Salary -.050 .007 -.277 -6.627 <.001 2.138 
Strike Outs / Game .023 .007 .139 3.362 <.001 2.075 
RBIs .000 .000 .151 3.937 <.001 1.789 
Walks (Hitter) .000 .000 -.109 -3.019 .003 1.600 
Stolen Bases .000 .000 .073 2.396 .017 1.124 

The Magnitude of Stadium Novelty Effects

In this study we define the year prior to a new stadium as a “base-year” and then compare attendance in the new stadium to the base-year. This comparative process found an average change in attendance of 29.6% during the first year of play in a newly-constructed stadium. This 29.6% increase in attendance equates to an average increase of 762,263 fans for a new stadium’s inaugural season. Meanwhile, average marginal change for each successive year remains positive until year 21 as illustrated in Figure 3. By comparison, the average annual change in attendance increases for non-new stadium observations was just 2.36%, or an average increase of 63,553 fans for the study timeframe.

Figure 3: Average Percentage Change in Fan Attendance by Stadium Age 

As other studies indicate, attendance attributed to a new stadium is greatest during the first year and diminishes over time. In fact, based on study data new MLB attendance appears to decay at a rate of 1.19% per year after the introduction of the new stadium given the correlation of stadium age (in years) and percent change in attendance (r = .84). While it is unclear if all the factors contribute to attendance decay, it is plausible that the newness or novelty of the stadium diminishes while its new amenities become outdated and/or worn out. This study appears to provide a longer and slower decline in attendance extending Noll (26) that finds the stadium novelty effect is between seven and eleven years and dismisses the one-to-three-year effects that Hamilton and Kahn (16), Voight (36), Greenberg and Gray (14), and Howard and Crompton (18) all find.

A novelty of these findings is the approach used by defining the dependent variable as percent change in attendance in an effort to remove externalities that cannot be controlled across franchises. Annual attendance models using nominal annual attendance fail to capture the effect of stadium size variations and the size of the attendance variable which overweighs time-series data and can capture a very large portion of systemic error from year to year.

The Impact of On-Field Team Performance

This study further advances the current literature on stadium novelty effects by testing numerous team performance variables. Prior studies included a limited number of team performance variables such as “winning percentage” or “playoff appearances” (22). This study’s initial variable pool of 28 performance-related variables offers a more exhaustive list of performance metrics to (assumedly) better capture the influence of team performance on attendance in the presence of stadium novelty effects. In doing so, we find that five variables play a significant role in determining attendance, including: (a) winning percentage (b=.354, <.001); (b) strikeouts per game (b=.139, <.001); (c) RBIs (b=.151, <.001); (d) walks by hitter (b=-.109, .003); and (e) stolen bases (b=.073, .017). Meanwhile, team player salary (b=-.277, <.001), while a significant variable, appears to be negatively associated with attendance change. This finding is unusual and unexpected based on common perceptions that higher paid athletes tend to attract more attention.

As noted, a team’s winning percentage is found to be a key performance driver to attendance. As one can imagine, teams that perform better attract more fans. Data suggests that there is a significant correlation (r = .477) between winning percentage and home attendance figures (3). Likewise, “team ERA” is negatively associated with attendance (r = -.208) and “team batting average” is positively correlated with attendance (r = .221). In short, fans generally show up in greater numbers when teams improve on-field performance. On average, teams realize a modest 1.2% increase in home winning percentage a year after the new stadium is built, which is consistently found in other research (see 19, 20, 29, 31, 37).

CONCLUSIONS

This research builds further support for the impact new stadiums have on short-term fan attendance and financial outcomes. The building of a new stadium can be expected to increase season attendance by 29.3% for the first year of play. That elevated first-year attendance does not last forever. Rather, it tends to decline by approximately 1% per year for the next 20 years. During this entire 20-year span, overall fan attendance tends to remains higher than would have been predicted had the new stadium not been built in the first place.

By (a) modifying the dependent variable to a percent change in attendance and (b) including many more performance indicators as dependent variables, this study adds to the richness of the ongoing research into stadium novelty effects. Limitations of the study include the lack of multi-sport applications as this study focuses on Major League Baseball and does not include other professional sports such as soccer, football, or basketball. In addition, it does not include developmental and/or non-professional leagues.

Moreover, we do not account for cultural trends that may occur promoting or detracting from new stadium construction. Notably, over the time horizon, stadiums have moved from large capacity multi-use facilities to smaller ‘baseball-only’ spaces. Also, there is an increasing trend to re-locate stadiums outside of dense urban areas, Finally, the trend of sprawling multi-business complex models has also added to the art of new stadium construction. Today, new stadiums are built with an economic ecosystem surrounding the facility to include dining, entertainment, and other hospitality venues such as hotels. Finally, the model outlined in this research, while demonstrating sufficient fit statistics, fails to capture all the variation in marginal attendance change on a year-over-year basis. As such, future research should seek to include additional independent variables that can improve the model.

Stadium novelty effects are real and substantial. This study presents a new method to be used to measure and predict their impact on total attendance in any sport and at any level (college, professional, etc.).

APPLICATION IN SPORT

A baseball stadium is a fixed asset with an anticipated lifespan. No stadium lasts forever in its original form. At some point, a stadium must be remodeled or replaced to meet the needs of current consumers or fans may shy away from attending games. New stadiums can help grow attendance, diversify the fan base, and develop new revenue streams to help teams compete financially in Major League Baseball. While, new stadiums represent new branding opportunities, they also offer teams the opportunity to reach new audiences with improved and updated amenities. These benefits likely translate to greater financial outcomes for the team, however the financial debate is complicated affecting many stakeholders. While team owners may be obvious benefactors, the financial incentives offered by local governing bodies reflect a mutual perceived benefit from the broader tax-paying community.

As noted above, the introduction of a new stadium tends to trigger a large increase in first year attendance (over 29%) and while that figure tends to decline over time, the net result is that total attendance tends to stay higher than it would have been in the absence of new stadium construction for the next 20 years. This suggests local governments should be willing to consider some level of public financing for stadium construction for a minimum of 20 years, and possibly longer.

For teams that played in the 1980 MLB season, 6 teams continue to play in their original (albeit updated) stadiums: Boston Red Sox; Chicago Cubs; Kansas City Royals; Los Angeles Angels; Los Angeles Dodgers; and Oakland Athletics. Sixteen MLB teams have occupied 2 stadiums over this period while 3 teams have played in 3 different home stadiums over this 40+ year period. One team (the Montreal Expos) relocated to Washington, DC.

At the time of this writing, 3 new MLB ballparks have been projected including the Oakland A’s new park in Las Vegas with an estimated price tag of $1.75 billion as well as new parks in Tampa Bay and Kansas City. Meanwhile, the Chicago White Sox are exploring new park opportunities (9, 12). Beyond Major League Baseball, new stadium construction is viewed as an integral part of any team brand and fan-base strategy. At least five new Minor League Baseball parks have been built since 2020 including: Beloit Sky Carp’s ABC Supply Stadium; Kannapolis Cannon Ballers’ Atrium Health Ballpark; Worcester Red Sox’ Polar Park; Rocket City Trash Pandas’ Toyota Field; and the Wichita Wind Surge’s Riverfront Stadium (23, 25). It will be interesting to see the impact of these new stadiums on fan attendance in their respective cities.

The issue of new stadium construction and/or the massive remodel of existing baseball stadiums is also taking place in NCAA Division I baseball. The Board of Regents of Georgia State University (located in downtown Atlanta) have approved the construction of a new downtown baseball stadium in the footprint of the old Atlanta-Fulton County Stadium. The new stadium will allow the team to play closer to campus than their current stadium which is located 12 miles from their center-city location (13). Old Dominion University will play its entire 2025 baseball season in away games and/or nearby minor league stadiums (as available) as it remodels its on-campus baseball stadium (24).

Over the last decade, many schools in the Southeastern Conference (such as the University of Florida, University of Kentucky, Mississippi State University, and the University of South Carolina) have greatly expanded, or even replaced, their college baseball stadiums. This wave of stadium updates is expected to continue and spread to other sports and facilities. These new stadiums may possibly extend the research on stadium novelty effects into college sports.

Sports fans have many options for their time, attention, and entertainment dollar. Teams cannot assume casual fans will continue to attend games just because it is part of the local culture. Increasingly demanding fans want an updated fan experience, even in historical stadiums like Wrigley Field in Chicago or Fenway Park in Boston. This study demonstrates that overall attendance goes up when new MLB stadiums are built. While this spiked year-one attendance may decline modestly each year, this ‘decline’ is from an elevated number of fans due to the introduction of new stadium in prior years. So, in an interesting way, the ‘bonus attendance’ of the new stadium provides the cushion (or pays for) the modest reductions in attendance over time. Then, at some point in the future, the team may begin discussions of replacing their now 30-year-old stadium (again).

CONCLUDING REMARKS

When baseball fans wax poetically about their memories of MLB games from their childhoods, these descriptions are not limited to their favorite players. Embedded in these memories are the sights-and-sounds of the stadium, such as the glow of the lights for a night game, the call of the popcorn vendors, or the smell of a hot dog cooking on the grill. Enhancing the in-stadium fan experience is an integral part of success in the sports industry of today.

As noted earlier, 3 MLB teams have played in 3 different home stadiums over the timeframe of this study:

Atlanta Braves: Atlanta-Fulton County Stadium to Turner Field to the current Truist Park.

Minnesota Twins: Metropolitan Stadium to the Hubert Humphry Metrodome to the current Target Field.

Texas Rangers: Arlington Stadium to The Ballpark at Arlington to the current Globe Life Field.

It will be interesting to see the lifespan of these newer stadiums. When Atlanta-Fulton County Stadium, Metropolitan Stadium and Arlington Stadium were all originally constructed, no one could dream of the day when these shining new stadiums would be replaced. Living decades in the future, we know ‘the rest of the story.’ These stadiums have been replaced … and their replacement stadiums have been replaced. The long-term cycle continues.

REFERENCES 

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  1. Howard, D. and Crompton, J. (2003). An empirical review of the stadium novelty effect. Sport Marketing Quarterly, 12(2), 111-116. 
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2025-05-16T09:56:27-05:00July 26th, 2025|General, Sport Education, Sports Facilities, Sports Management|Comments Off on The Novelty of New Stadiums: Evidence from 40 Years in Major League Baseball 

Environmental Sustainability Practices in Minor League Sports [EARTH DAY PUBLICATION]

Authors: Mark Mitchell1, Melissa Clark1, and Sara Nimmo2

1Wall College of Business, Coastal Carolina University, Conway, South Carolina, USA

2University of North Carolina, Charlotte, North Carolina, USA

Corresponding Author:

Professor of Marketing
Associate Dean, Wall College of Business
NCAA Faculty Athletics Representative (FAR)
Coastal Carolina University
P. O. Box 261954
Conway, SC 29528
[email protected]
(843) 349-2392

Mark Mitchell, DBA is Professor of Marketing at Coastal Carolina University in Conway, SC.

Melissa Clark, PhD isProfessor of Marketing at Coastal Carolina University in Conway, SC.

Sara Nimmo is a 2022 Honors Graduate of Coastal Carolina University. Nimmo currently works in Sports Marketing at the University of North Carolina at Charlotte, and  previously served as a Fan Engagement Assistant with MiLB’s Myrtle Beach Pelicans.

Environmental Sustainability Practices in Minor League Sports

ABSTRACT

Recently, there has been heightened attention on what businesses are doing to sustain the environment. This trend has also impacted minor league sports. Many teams have developed and implemented strategies to lessen the environmental impact of their operations. Consultation with officials of a local minor league baseball team, in addition to extensive information search, identified the strategies used by teams and leagues to improve the environmental sustainability of their part of the sports industry. A cluster analysis was then performed to classify the strategies identified into categories of similar topics. To date, the main areas where minor league sport teams have focused their efforts on environmental sustainability are: (1) facility-related matters (i.e., sustainable certificates, renewable energy, and changes in water and fertilizer usage); and (2) waste reduction (i.e., recycling, paperless ticketing, digital publications). Many of these sustainability initiatives were introduced during the COVID global pandemic as teams and leagues sought to play games while concurrently lower costs and limiting contact among fans and staff. Since their introduction, many of these practices, particularly those dealing with waste reduction, have become standard operating procedures. As fans become more aware of the need to reduce the environmental impact of business operations, they will apply those expectations to minor league sports teams and leagues. Teams and leagues are responding driven by the concurrent desire to sustain their business and to lower the environmental impact of their operations.

Key words: minor league sports, environmental sustainability, facilities, waste reduction

(more…)
2023-04-20T15:01:13-05:00April 21st, 2023|Research, Sports Facilities, Sports Studies and Sports Psychology|Comments Off on Environmental Sustainability Practices in Minor League Sports [EARTH DAY PUBLICATION]

Security Models in Mega Sport Events between Safety and Human Rights (Case of Vancouver 2010)

Authors: Moez Baklouti*(1), Ph.D. & Zakaria Namsi, M. A.(2)

(1) Moez Baklouti is a Faculty member (Associate Professor) at Tunis University and the Research Unit Head of Tunis Sports Academy located in Vancouver, Canada.

(2) Zakaria Namsi is a Faculty member (Assistant Professor) at Ksar Said Sports and Physical Education Institute, Tunis.

*Corresponding Author:
Moez Baklouti, Ph. D.
14065 77A Ave Surrey, V3W2X2 BC Canada
[email protected]
778-628-8019

ABSTRACT

This study examines the conflict between liberty and security in sporting mega-events by ensuring that prohibited items do not enter an Olympic Games venue while guaranteeing service excellence. A random sample of spectators and journalists (N= 1081) from Vancouver 2010 Winter Olympics responded to a survey about customer service and security in the event. Chi-square tests for two independent samples were used along with Crosstabs procedures to test the differences in service and security between journalists and spectators.

The results revealed that a successful security model in mega-sport events is based on two pillars: service excellence that depends on the time spent at the portal, the communication with customers, the kind of staff serving in the venue, and mainly on the cooperation between all security corps in charge.

INTRODUCTION

Sport managers’ focus on security became after the New York terrorist attacks on September 11, 2001 the main concern of sport management, especially in the field of sport event organization. Other aspects, such as, organizational theory, sport marketing, sport facility management, sport law and policy, economics and finance, gender and diversity, have been classified less important, because they cannot stand in the absence of security. In the last few decades, there has been a growing concern regarding individuals’ safety, because the 9/11 incident showed that terrorists, who hit The World Trade Center and killed around 3000 people, could land with those 4 planes on 4 stadiums and harm 400000 spectators. Such scenario proved that the majority of our sport venues were and are still not protected. As an example of the difficulty of articulating the concept, Rothschild (1995) describes human security philosophically as part of both a broadening and a deepening of what we once viewed as security. She argues that the focus on state security must be extended to include supranational systems as well as the individual condition,and the range of included harms must be broadened to include serious threats to either. Also, the responsibility to ensure security must be diffused to include local governments, international agreements, NGO’s [non-governmental organization], public opinion, and the financial market. Although not an explicit definition, this conceptualization provides an example of how narrow the traditional paradigm has been as well as how complex the expansion of the concept can become” (Owen, 2004).

However, the controversy over the security concept leads sport managers to exaggerate and reach extreme resolutions that may harm the dignity of the people and threaten the human rights value. So, how can we reach a compromise whereby we protect our spectators by avoiding any prohibited item to get into the venues while ensuring an excellent customer service? “ ForMontesquieu, this was a singular focus on freedom and the perceived rights of individuals over the dictated security provided by the state. Security for Adam Smith meant the protection of the individual from ‘sudden or violent attack on one’s person or property’–this security being the most important prerequisite for a successful and ‘opulent’ society.Similarly, Condorcet described a societal contract in which the security of the individual was the central principle” (Owen, 2004).

This discussion leads us to better understand the role of each individual in the security process and to determine the responsibility of the highest rank of government officials to the common security agent in charge of a simple task during the sport event. “For Hobbes, it meant little whether aman’s insecurity was at the hands of a local thief, or an invading army.Protection from either, he believed, was the absolute responsibility of the state. For this protection, the citizen should give up any and all individual rights to his country, his protector— security prevailing over liberty” (Ullman, 1983). Liberty stands behind a mutual race between the anticipation of security measures and terrorists’ up-to-date attempts to transgress these boundaries, “ terrorists are explicitly in the business of uncertainty. They play on randomness to keep whole populations in fear,anticipation, and disestablishment. They precipitate the urge for more certainty, expressed through escalating security measures” (Ericson &Doyle, 2004).

The full protection of people and facilities in sport events cannot be reached instantly, rather it is a long-term and highly complex process requiring considerable data gathering. “ The context of terrorism has relevance to sport events, and the potential and realized impacts on the management of contemporary sport events have been profound” (Taylor &Toohey, 2006). For this reason, sport managers are dealing in each event with different platforms, new criteria of the hosting country, its own history with terrorism, its prior experience with events, and mainly its proper philosophy of the security model whether the so-called hard model, or the soft model, or even an intermediate model. Therefore, “by understanding the risk society and what this means in for sport event management, we can challenge dominant sport management paradigms and provide an emergent theoretical background by which to understand the impact of terrorism on sport event spectators”(Toohey & Taylor, 2008).

LITERATURE REVIEW

From this perspective, sport mega-events (SMEs) have become global occasions of economic, political, and social importance, for its impact on tourism (Degen, 2004; Euchner, 1999), and international status (Ahlert, 2006). To observe the aspects of SMEs, social development and cultural politics were delighted by (Close, Askew, & Xin, 2006; Marivoet, 2006; Roche, 2000, 2003;Whitson & Horne, 2006). “Sport mega-event security, in itself, is a complex assemblage of social control mechanisms that is undergoing profound change, notably in terms of costs, personnel, the rising influence of private security, the perceived dangers of terrorism, and the focus on indigenous crime” (Giulianotti & Klauser, 2010).

We should be alert that critical infrastructure (CI) is a vital component to develop any security strategy. This strategy must be based on continuous prevention regardless if the event takes place, or not because the reduction of certain pattern makes EMs more comfortable vis-à-vis the international instances. International Sport Institutions (ISI; i.e., IOC, FIFA, NFL) coerce complying with the basic requirements to hold an event, which give a packed confidence of safety and security in mega events. However, prototypes must respect the psychological states of spectators, because they are attending a show and provide an excellent customer service in sport events. The security process in the airports, for example, cannot be compared with the one of entering the venues. Even if the physical objective and the manipulation are the same, the traveler is somehow forced to make his/her trip; however, the sport spectator attends the games for fun, and the security measures should not affect this purpose and intervene with the human rights standards.

These norms are valid for different event sizes and for multiple levels of broadcasting. According to Gibson (1998), event sport tourism refers to tourists who travel to watch sporting events. Examples of event sport tourism may include events, such as, the Olympic Games, World Cup, Professional Golf Association (PGA) tournaments, and events related to professional sport teams or top U.S. college basketball and football teams.

To frame the theory context of our study, we consider SME with two essential grounds. First, the socially contested domain, that is develop the concept of the security field, as derived particularly from the sociology of Bourdieu (1990, 1993, pp. 72-76; see Wacquant, 1989), and as adapted and extended by Crossley (2002, p. 674). Second, risk theories here would include the concept of “reflexive modernization” (Beck, 1992; Lash, Szerszynski, &Wynne, 1996), Foucauldi an thinking regarding new forms of“governmentality” for shaping public actions (O’ Malley,2004), and new perceptions or cultural senses of risk within late-modern societies (Boyne, 2003; Lupton, 1999; Slovic, 2000; Tulloch, 2006). “Risk theory in this regard helps to clarify and to explicate a wide range of social processes associated with sport mega-event securitization: for example, how specific security risks and “risk groups” are identified by relevant stakeholders at different sport mega-events, how security institutions(both public and private) implement specific risk-management techniques within particular contexts and how risk legacies remain in post sport mega-event contexts” (Giulianotti & Klauser, 2010).

Critical Infrastructure

Moteff & Parfomak (2004) define “critical infrastructure as systems and assets, whether physical or virtual, so vital to the United States that the incapacity or destruction of such systems and assets would have a debilitating impact on security, national economic security, national public health or safety, or any combination of these matters.” As such, critical infrastructure is a highly complex phenomenon. In fact, critical infrastructure for sport venues is interconnected with other systems: facilities, technologies, networks, assets and services essential to the health, safety, security, or economic well-being of citizens, and the effective functioning of government. That is why, it is necessary for sport managers to be updated with the protection strategies provided by the government; unfortunately, “few sporting event organizers use strategic risk management plans. The main hindrance appears to be a lack of information and expertise available on risk management for sporting events. Risk management plans varied to a large extent, which may be due to the absence of accepted national standards for managing risk for sporting events and to the heterogeneous nature of sporting events” (Eisenhauer, 2005).

The major gap in CI lies in the difference in security strategies between the public sector managed by the government and the private sector owned by individuals or institutions. Whereas, “over 85 percent of the critical infrastructure in the United States is controlled by the private sector”(Forest, 2004), it seems that only 15 percent of the facility controlled by the government obeys to strict norms and control.

Indeed, it is worth highlighting that the National Strategy and Action Plan for CI establishes a risk-based approach for strengthening the resiliency and demands billion of dollars. Sport facilities also need an enormous segment to mend its vulnerabilities. “It has been estimated that organizers of sporting events worldwide spend over $2 billion perannum on security, although in years where “blanket security” is required for major events,this figure can rise to $6 billion” (Coaffee & Wood, 2006).

Safety and Security in Mega Events

Governments fear terrorist attacks and political demonstrations during sport mega events, mainly when we consider all Olympics have witnessed terrorist threats, “because there have been 168 terrorist attacks related to sport between 1972 and 2004” (Clark, 2004; Kennelly, 2005). “Since 9/11,the increased threat of terrorism has brought risk management to the forefront of mega-sport-event planning and has resulted in a range of new security measures for sport spectators and tougher safety standards for organizers” (Toohey & Taylor, 2008).

More importantly, protecting CIs must endure with the effective training of staff members and provide the necessary training to enhance performances in skill development processes. Training should frame incidents’ management,risk management and practices of protective measures, safety and security strategies, and business continuity and recovery principles. As “ threats of terrorism and political violence are often not only seen as to endanger the athletes, spectators and local population but also as a symbolic and political embarrassment—and hence financial risk— for host nations and organizing institutions” (Giulianotti & Klauser, 2010).

Atkinson and Young (2002) provide a general explanation of the nexus between sport and terrorism: for many reasons, individual terrorists or terrorist organizations might find suitable targets in athletes participating in games, spectators attending the events, or selected corporate sponsors of sports contests. Especially in those situations where athletic contests draw sizable international audiences in geographical settings already embroiled in strife, sport can be utilized as a vehicle for political sparring and waging and disseminating forms of political violence against others.

Whereas usually audiences attend sport mega events for a noble cause, such as, to apprehend peace principals and to spread camaraderie among people coming from all over the world. This kind of image gets disfigured in the presence of a terrorist act, because an act of terrorism leads to the opposite facade of people’s desire and turns the situation into a deeply dramatic scenario. Researchers are actually focused on the link between sport events and terrorism; “most of these studies have been located in discourses of sport sociology, psychology, and criminology, investigating the cognitive, affective, and overt behavioral aspects of violence. Implications drawn for sport management have primarily been associated with crowd control, risk management and athlete management” (Rubin, 2004; Whisenant,2003).(connect these lines)

For this particular reason, “terrorists also plan their acts to get as much media exposure as possible, thus giving attention to their cause”(Whisenant, 2003). The Olympics have grown with the increase of television broadcasting, “it is logical that terrorists will choose methods of mass destruction, such as bombings, and target transport or places where people gather, such as sport stadia. These reasons explain why mega sport events, such as the Olympic Games, are seen as possible terrorist targets” (Toohey andTaylor, 2008).

As a consequence, “more recently, the Olympic security paradigm has shifted. It now augments the rings of steel attitude, to one that has also encouraged resilience, both physically and managerially, through more counter terrorism measures and dispersing security responsibilities to different agencies and governments, rather than just organizing committees”(Coaffee & Wood, 2006). First, security from the gate should prevent unauthorized entrance to the venue and perform the following duties: keep prohibited items out of the venue, secure perimeters around the venue, conduct security inspections, verify tickets and authenticate credentials. This is a final check that follows extra-large security procedures: no fly zone, protecting access from water, precautions through roads, control of high buildings, preventing electronic and internet attacks, and‘sweeping’ all facilities designated to athletes, media people and spectators.

Indeed, “in planning and executing an attack, terrorists spend a lot of time selecting the target, analyzing and assessing opportunities and vulnerabilities as well as conducting their own research to secure the attack’s successful execution. Considering the time frame and activities associated with hosting the event, the threat to the World Cup starts with the building and renovation of sport facilities. On a strategic level, being able to gain access to plans of stadiums and actual access to facilities during the event takes time and careful planning, but contributes to the success full execution of an attack” (Botha, 2010).

Although infusing the event preparation with high level of security, such pact could be the reason for jamming the host country to gain the organization,the high expenses may be the cause for this failure. Johnson (2008) affirms that “successful security operations at recent games raise questions about whether the high levels of expenditure are proportionate to the level of threat. The security budget is often cited as a reason why many cities will not host the Games. It has also been used by one city to justify their decision not to host the Winter Olympics even after it had been awarded”.

Customer Service in Sporting Venues

Enhancing customer service by event managers (EMs) is now included in the requirements of human rights institutions, for spectators may not be treated as criminals when attending a sport show. The moment of entering a game venue is one of the most sensitive sensations for spectators. This feeling amplifies with the size of the event; therefore, the more important the event is, the greater its historical dimension becomes for the spectator. That is why, dealing with this situation is delicate, because EMs aim at delivering excellent customer service while ensuring strict security rules. Most researchers agree that “one way that a sport event can be differentiated from another event is on the basis of providing a high quality of service. One could argue that it is the only way for event planners to gain a competitive advantage” (Dwyer & Fredline, 2008). The expectations of spectators regarding the event service are associated with the importance of the event itself and with the EM before preparing their customers for admittance procedures to enter the venue. Therefore, “providing the visitor with a superior experience is based upon the event planners’ ability to help coordinate or provide a bundle of high quality services that meet or exceed the expectations of the guests visiting the city. Sport tourism is a service industry which is influenced by the quality of services provided”(Kouthouris & Alexandris, 2005).

Customer Satisfaction

“Customer satisfaction is defined as a pleasurable fulfillment response toward a good, service, benefit, or reward” (Oliver, 1997). Customer satisfaction has been considered as an interpreter of intentions to attend future sporting events (Cronin et al., 2000; Kwon, Trail, &Anderson; 2005; Wakefield & Blodgett, 1996), it has been understood in relation to service quality (Cronin & Taylor, 1992; Dobholkar, Shepherd,& Thorpe, 2000; Parasuraman, Zeithaml, & Berry, 1994), and increases the likelihood of enhanced customer loyalty (Cronin et al., 2000; Oliver,1997). Greenwell et al. (2002) examined how customers’ perceptions of as port facility within the context of service experience influence customer satisfaction. The findings suggest the customers’ perceptions of the physical facility were moderately associated with customer satisfaction.

Putting everyone who wanted access to the venue through a magnetic detector and searching their bags (mag-and-bag) is actually quietly accepted because sport customers know well that sport venues are not excluded from terrorist attacks and everyone will be subject to airport-type security with mag-and-bag and X-ray machines. “These processes functioned according to an agreed level of service; for example, a person queuing for security checking should not wait longer than three minutes. The level of service achieved depended on allocating adequate resources to that process, for example, by allocating 20mag-and-bag security gates to a venue entry”. (Beis et al., 2006).

Although event spectators recognize that these security measures are first established for their protection, they are concerned about the class of people dealing with them at the gates, spectators are undoubtedly anxious when treated by police officers, or military soldiers. Therefore, the major concern of spectators is no longer the way they have been welcomed, nor the security check time, it is rather that civilians have to do with officials while attending a show. The recent security procedures and techniques are far from being complex,for instance, “in terms of the Olympic Games, the variety of tactics used have included the deployment of Olympic police and military units to dedicated Olympic units to patrol the host city and country; the creation of Olympic Intelligence Centers to monitor information and coordinate responses; the formation of international Olympic Security task forces to share information between nations; the increasing use of surveillance, including digital surveillance to augment people; and the implementation of progressively more complex technology to prevent unauthorized access” (Johnson, 2008).

Service quality

Service quality is the conformity to the standard required by ISI. The organization committee has a propensity to achieve all the requirements and to satisfy the customer’s perceptions of that service. The consumer satisfaction literature views these expectations as predictions about what is likely to happen during an impending transaction, whereas the service quality literature views them as desires or wants expressed by the consumer(Kandampully, 2002). Grönroos (1984) defines service quality as “the outcome of an evaluation process where the consumer compares his expectations with the service he perceived he has received.”

Debates lay many concepts to measure service quality. Grönroos (1984)solicited technical quality for what the consumer receives and functional quality to answer how the consumer receives the service. Burns, Graefe, &Absher (2003) focused on the disagreement whether the consumer’s‘desires’ or ‘ideal standard’ should be measured.

Lehtinen and Lehtinen (1991) proposed two approaches to the analysis of service quality and its dimensions. The first approach contains three dimensions consisting of physical quality, interactive quality, and corporate quality. The second approach to the analysis of service quality and its dimensions was composed of two dimensions: process quality and output quality.

A positive experience for spectators let them return for future games. Therefore, EMS make spectators enjoy spending time at the stadium. Various attributes are crucial to attain the constancy of spectators in attending games: quality and outcome of the game, cleanliness of the arena, security in the parking area, seat location, parking location, and cleanliness of the restrooms (Kelley & Turley, 2001). However, venue access is actually a pillar in service quality. Venue access is also different from an event to another and from a country system to another and is mainly managed each time by staff, by civilian employees in the reception, or by official security people.

According to Kelley & Turley (2001), service quality attributes are employees, price, facility access, concessions, fan comfort, game experience,show time, convenience, and smoking. The evaluation of service quality depends on knowing and comparing price, employee action, ambiance stimulation, program evaluation, privilege appreciation and security. Chelladurai and Chang (2000) cite three targets of quality evaluations: a) the core service, b) the physical context such as the physical facilities and equipment in which the service is provided, and c) the interpersonal interactions in the performance of the service.

Authors classify service quality in special dimensions, but focus on the outcome quality in determining the overall service quality with search and experience outcome quality. Brady and Cronin’s (2001) model of service quality has three primary dimensions: a) interaction quality, b) physical environment quality, and c) outcome quality. Ko and Pastore (2004) propose a dimensional model of service quality in the recreation industry composed of program quality, interaction quality, and outcome quality.

Human Rights

“Anti-terrorism laws in a democratic state ruled by law only serve their purpose if they improve the ability of the state to defend itself against terrorist attacks, without excessively restricting the civil rights of the citizens” (Meyer, 2004). The controversy over the balance between liberty and security highlights that jeopardizing freedom for the sake of security creates the tension between security policies and freedom security prevailing over liberty. “The vague definition of public order and thus what may breach it jeopardizes not only the ideally equal implementation of the law in a given territory, but also the protection of civil rights and liberties in that the consequent weakening of the principle of legality entails that of the principle of proportionality and in some cases the principle of accountability” (Tsoukala, 2007).

Liberties are not established by the law and rules only, but are applied by agents who may not conform their practices to those rules; it is not about a misinterpretation but about entity philosophy of priorities’categorization, “while the defenders of human rights see in this shift the symptom of an ongoing redefinition of the power relations between the executive and the people or the (re)positioning of the state and civil agents in the political and security fields (or both), the executive branch refuses to see in it any jeopardizing of civil rights and liberties” (Tsoukala,2007).

Besides economic and sport developments, a mega event serves as a historical landmark and brings prestige and prosperity to the host country.“Research into mega-events and developing nations has been centered about questions of development, place promotion, signaling, identity building and human rights and political liberalization” (Black and Bezanson 2004; Black and van der Westhuizen 2004).

Hosting sport mega events is the responsibility of the government. In case of errors, such burden has been criticized from the international opinion and has also been disparaged by domestic politicians. “Because absolute security cannot be attained, politicians worry about leaving gaps in prevention, because this could have the side effect of making them take responsibility for the harms inflicted the next time. Therefore, politicians tend to maximize their security preparation, at the price of more restrictions on citizens’ freedoms and civil rights than are necessary for effective prevention” (Meyer, 2004).

The protection of human rights must be imbedded in the strategy for the effective combat against terrorism and it cannot be successful safety if there is a lack of respect for human beings and the values of freedom. “The subject of counter-terrorism and human rights has attracted considerable interest since the establishment of the Counter-Terrorism Committee (CTC) in 2001. In Security Council (2003) and later resolutions, the Council has said that States must ensure that any measures taken to combat terrorism comply with all their obligations under international law, and should adopt such measures in accordance with international law, in particular international human rights, refugee, and humanitarian law” (CTC, 2003).

Precarious balance between security and freedom

The Canadian Charter of Rights and Freedoms (5th Amendment in the USA) obliges the state to prove criminal behavior and not to take any action against a person suspected of a crime, so everyone is presumed innocent until proven guilty. Ashworth (1998) has rightly suggested that the notion of balance is a rhetorical device of which one must be extremely wary. “Balance” is self-evidently a worthy goal and, thus, acts as a substitute for real argument. Waldron (2003) has identified a problematic connotation of quantity and precision in the language of balance, including the assumption that the relation between security and liberty is a zero-sum game.

Perhaps a separate definition of security and liberty cannot find an intersection that satisfies both; however, we do not need to identify security with liberty. An American hurdler explains, “Every step you take, there are guards with machine guns in the Olympic Village, I know they’re there to protect you, but it’s scary. I’m not used to it, so it makes me cringe a little bit. It wasn’t like this at all in Sydney” (May, 2004).

Foucault (1991, 1997, 2000a, 2000b) has shown how liberalism enacts another form of political rationality that sets mechanisms for a ‘society of security’ in place rather than resist the push to security in the name of liberty. Johnson (2008) further supported: “The Atlanta bombing demonstrated that massive security investments cannot guarantee the safety of the public”Authors, politicians, managers, and philosophers have been conferring to challenge the idea of an equilibrium between security and liberty “to different political projects for the shaping of the modern state, the value of security remained the same. The difference between absolutism and liberalism is, therefore, not that where one stresses security the other stresses liberty; the difference does not lie in the tipping of a mythical ‘balance’ between liberty and security in one direction rather than another. Rather, the difference lies in the fact that absolutists saw no need to identify security with liberty” (Neocleous, 2007). “Much of the discussion concerning the theory and practices surrounding security centers on the relationship between these and their consequences for liberty. Either explicitly or implicitly, the assumption is that we must accept that we have to forgo a certain amount of liberty in our desire for security. The general claim is that in seeking security, states need to constantly limit the liberties of citizens, and that the democratic society is one which has always aimed to strike the right ‘balance’ between liberty and security” (Neocleous, 2007).

Is ‘Vancouver 2010’ a soft Model?

Security became the main condition to host the Olympic Games and other large scale sporting events. Winning these games’ elections for any country is also conditioned by the promotion of human rights and liberties, such events are great occasions to push dictatorship regimes, leading to an improvement in the human rights movement.

“The human rights organization ‘Human Rights Watch’ hopes, that the attention China will get as a result of the Olympic Games will help to improve the human rights situation” (OG & HR, 2008). Gill &Worden (2009) state as an example: “Given the serious ongoing human rights concerns in Russia, we respectfully reiterate our call for the IOC to establish a standing human rights committee or similar mechanism to monitor the adherence by Olympic host countries to basic human rights standards.”

The venue of Salt Lake City Winter Games was heavily populated by officials from the army, the police and many security companies. It is very understandable that ‘there is too much security’ because the Games were hosted a few months after 9/11. “The Athens security operations cost€1 billion, and represented more than 10% of the total direct costs. The expenditure was almost four times greater than for Sydney. There were approximately twice as many security personnel available in 2004 compared to the summer games four years before” (Johnson, 2008). ‘Athens2004’ meant a higher level of security than ever before provided for the games. However, unlike Greece, Italy’s ‘Turin 2006’ has more than enough military personnel and special forces to deal with the threat of all possible terrorist attacks, ranging from bombs to planes and even weapons of mass destruction. The Chinese government in “Beijing 2008” has implemented extraordinary security measures, including the mobilization of the military. “Security has not been thought to require special justification because in many ways it seems preferable to punishment” (Zedner, 2003). The cited Olympics were known as “hard security models” adoption,either the Games were after 9/11, or the political system is based on military management (i.e., China under a communist regime).

Vancouver Winter Games opted for what we call a “mild security model” because the security company charged in flowing spectators to the venues (Contemporary Security Canada) and used civilians to perform mag-and-bag and X-Ray machines. Thus, spectators, while entering to watch the games, are not facing military people or police officers (Figure 1). The second‘layer or belt’ is managed by security supervisors. Then, the role of the police officer (third layer) comes in case of prohibited items found with the intention to infiltrate the venue. In this situation, a male factor is treated with the right corps, and human rights rule is respected. The timing goal set up for the security procedures in the gate is thirty seconds perspectator. The training of screeners, X-Ray operators, and their supervisors was based on ensuring full security vocation while providing gentle spectator access through their portals with the finest performances and an excellent customer service.

Figure 1

It is worth highlighting that the Special Reporter on the Promotion and Protection of Human Rights while countering terrorism, operating under the new Human Rights Council, works to identify, exchange, and promote best practices on measures to counter terrorism that respect human rights and fundamental freedom. Security agents represent a brilliant facet to implement the respect for human rights. Sport event spectators admire the fact that they are well informed and welcomed and the security system guarantees 100% of their safety. With a purpose to reach a complete enjoyment for the sports show customers, such “model” is essentially based on two pillars: security and service excellence (Figure 2).

Figure 2

Figure 2 – Tools concept for Sport’s Show Joy through Security& Service Excellence.

This study focuses on the conflict between “liberty” and“security” and what model sport event organizers should adopt to match the characteristics of the host country? Then, what are the tools to provide quality service for the spectators? Do timing, security people, and quality information guarantee the comfort desired by the customers? Johnson (2008) also considered the timing and asked: “The organizers of the Turin games advised spectators to leave more than three hours to enter some venues for the 2006 winter games. Such delays raise important questions about how long it is reasonable to expect people to wait in order for security measures to be completed”. Moreover, who is responsible for taking the security measures to prepare, prevent, deter, or delay a future terrorist attack on a sporting event or stadium? How people deem about the concept of ‘CI’?Ultimately, what are the means to raise the trust that spectators are fully protected while attending the games?

These research questions culminate to our main hypothesis: A security model in sport events should respect both the full protection of the venue and the value of human rights while welcoming spectators and subsequently:

  • Providing spectators’ service excellence depends on the time spent at the portal before entering the venue, the quality of communication, the serving staff, and the previously provided information regarding the security measures.
  • The success of a security model in mega sport events is highly conditioned by the cooperation between all corps in charge of this mission, such as government, police, local city head, athletic directors, private security companies, and the structure in use.

METHOD

Supported by the literature review a total of ten questions were generated to represent two items: (A) ‘Customer service in the event’ and (B)‘Security in the event’.

Participants

The study sample covered 1081 respondents (Table 1), composed of 286 journalists and 795 spectators. Journalists were contacted before the games start at MMC, during the competitions in the venues (indoors or outdoors) and in MMC, and after the games in MMC again. Spectators were met on the opening and closing ceremonies, during the competitions in the venues (indoors or outdoors).

<imgalt=”Table 1- The study sample (Journalists & Spectators) for ‘Vancouver 2010’ Winter Olympics.”src=”Desktop/Table 1- The study sample (Journalists & Spectators) for ‘Vancouver 2010’ Winter Olympics..png”width=”673″ height=”329″ />

Table 1- The study sample (Journalists & Spectators) for‘Vancouver 2010’ Winter Olympics.

Media people in the study sample were represented by 75 journalists from Canada (26.2%), 45 journalists from USA (15.7%), 27 journalists from China, 25 journalists from Russia and 15 journalists from Germany. The percentages of spectators are as follows: 53.7% Canadians, 20.5% Americans, 5.5% Chinese, and 3.1% French (Table 2).

<imgalt=”Table 2- Countries of journalists and spectators with classification and percentages”src=”Desktop/Table 2- Countries of journalists and spectators with classification and percentages.jpg”width=”644″ height=”552″ />

Table 2- Countries of journalists and spectators with classification and percentages

Procedures

Respondents were informed that they are helping a scientific research regarding the service and security in the event. Trained volunteers (event services) of the organization committee conducted the survey in their day-off by contacting the spectator after he/she takes seat and before the game starts to guide the respondent, and as tested before, the tête-à-tête takes six to seven minutes. Extra information was included in the survey content regarding the citizenship and the gender of the respondent. The respondents were randomly assigned for City Venues: Vancouver Olympic Center, Pacific Coliseum, Cypress Mountain, Canada Hockey Place, UBC Thunderbird Arena, Richmond Olympic Oval,and Main Media Center, or for Whistler Venues: Whistler Creekside, Whistler Olympic Park, and The Whistler Sliding Center, which created relatively equal samples for each condition.

Measures

The questionnaire consists of items. Item A measures the comfortable time judged when dealing with the security procedures at the venue gates (A1 &A2), the information about the regulations regarding the entrance of the venue and the cooperation (A3 & A4), and the evaluation of service quality provided by the security people (A5). In item (B), the focus was on the security filter met at the portal when entering the venue (B6 & B7), the concept of ‘CI’ (B8), responsibility measures (B9), and the level of security felt by spectators (B10).

The response format for all questions was the five-point Likert scale, with the following values: 1 (Strongly disagree), 2 (Disagree), 3 (Neutral), 4 (Agree), and 5 (Strongly agree). Other five-point summated rating scale used the following format: 1 (Insecure), 2 (Somehow not secure), 3 (Don’tknow), 4 (Somehow secure), and 5 (Secure). In B6 and B9, attendees determine and classify responsibilities.

To determine the content validity of this survey, three experts—university professor specialist in sport event organization, a mega EM, and professional in customer service and marketing—were invited to provide feedback concerning the conceptual appropriateness of the items. Based on this feedback, modifications were made. Then, a pilot test was made and granted a reliability coefficient of .92, the test-retest had a two-week interval for the eighteen spectators who attended hockey games with the same security setup for the 2010 Vancouver Winter Olympics. There was an eight-day interval for the seven reporters, because MMC (Main Media Center at Canada place Vancouver) was not operational beyond this range. Based on the relevant results of validity and reliability, the questions were judged to be conceptually appropriate.

RESULTS

The data collected were analyzed using chi-square analyses (X2) and mean scores (M) and standard deviations were calculated (SD). A level of significance of .05 was used to test the results of the study.

Customer service in the event

The study gave a special importance to the timing as a component of quality service. The time spent at the portal for the security procedures before entering the venue was 30 seconds (sec.) per person and Games Security Screening (GSS) targeted it to ensure the visitors’ comfort and security.

Approximately 71% of journalists (M = 95.33; SD = 35.726) declared that they spent less than 30 sec. to get into the venue, but spectators (M =265.00; SD = 301.448) were not in this range because 76% judged that they spent over 30 seconds and even over one minute. The difference between groups is very significant (X2: 328.606, df: 2, p-value: 0). Conformably, the timing cited above influenced the position of journalists (M = 95.33;SD =38.280), half of whom notice that the time granted to the security procedures is reasonable, but the majority of spectators (M = 265.00;SD = 301.448) claimed that the time is uncomfortable. The difference between groups is very significant (X2: 365.561, df: 2, p-value: 0).

Statistics showed a significant difference between both categories of our samples (X2: 208.69, df: 1, p-value: 0); ¾ of journalists (M = 125.00;SD = 70.711) confirmed they were vaguely informed about the regulations regarding the entrance of the venue before they arrived. However, 4/5 of the spectators (M =317.00; SD = 277.186) stated they were not well informed. Regarding cooperation before coming to the venue, results showed that 51% of the journalists (M = 118.50; SD = 4.950) took some precautions and the majority (82%) of spectators (M = 363.50; SD =352.846) did, too. The difference between groups is again significant (X2:208.69, df: 1, p-value: 0).

Although journalists (M = 95.33; SD = 85.043) are satisfied with the service quality provided by the security people (65%), spectators (M =265.00; SD = 56.956) expressed equal evaluations about that service ranging between the dissatisfactory, average, and satisfactory judgements. However, the difference between groups remains significant (X2: 161.478, df: 2,p-value: 0).

Security in the event

While going through security portals, the study population (N: 1081) noticed that the security people they met are mostly “mixed corps” or“no official,” with the following ratio: 39% and 20%, respectively. The respondents did not recognize security people in charge (M = 216.2; SD =124.728), with a percentage of 18%, and no more than 12% distinguished“security company” and 9% “official police” (Figure 3).

Figure 3

Figure 3- Security people recognition by respondents

Respondents (787 of 814) confirmed that the security filter at the portalranges between hard to very strong. Statistics confirm that there is no significant difference between journalists and spectators (X2: 0.039, df: 1,p-value: 0.8434).

“The political agenda is ruling the concept of ‘critical infrastructure’ instead of the technical scientific conception”. After investigating into this new design, the majority of our respondents(82.2%) approved of the exposed idea. No significant difference between groups(X2: 1.899, df: 1, p-value: 0.1681) is noticed.

The rank ratio of the classification (Figure 4) made by the respondents in each venue showed that journalists and spectators consider the Local Police or Mounted Police the first people responsible for implementing the security measures to prevent, deter, or delay a future terrorist attack on a sporting event or stadium. Respondents also agreed to classify local city head in the second rank. Journalists, however, gave more importance to Politicians in the Government for the cited task unlike the spectators. Private Security Company was classified fourth for this responsibility. Finally, respondents determined the Private Security Company and the structure in use as last.

Figure 4

Figure 4 – Classification for structures taking the security measures.

When attending these winter Olympics, respondents felt safe at all venues,but with minor differences. The difference between groups is significant (X2:6.951, df: 1, p-value: 0.0083) as the majority of journalists (M = 107.50;SD = 126.572) and 85% of the spectators confirmed feeling very secure(M = 369.50; SD = 361.332).

DISCUSSION

Customer service in the event rises from the expectation of customers. Spectators seek comfort and security when attending the games, but have some directions to follow from buying the access tickets, to being seated and watching the game. Journalists enter the venue with an accreditation card, which was issued based on a previous security check. The situation explains the timing gap between journalists and spectators. Somehow, media people are trusted customers, so the screening at the gate venue is quick, and accurate recommendations during GSS training were delivered to pay special attention to them, because any incident could spread through the media and ultimately hurt the reputation of the organization. Spectators are considered as unknown customers, so GSS persons deal with different people with diverse backgrounds and different social levels. As a consequence, spectators judged that the security procedure timing exceeds the promised timing. It may represent confusion regarding the waiting time on line and the time spent on the security check before entering the venue, yet statistics confirmed the different attitudes of both the journalists and spectators.

Accordingly, journalists were comfortable to that timing whereas spectators were not. The timing target was not realistic for spectators, if we identify the screeners’ duty as searching bags, magnetometer operation, wanding, physical search, and ticket or accreditation checking, how can we set 30 seconds as the timing target? Event managers with GSS must adjust their timing target vis-à-vis the spectators, media, and especially human rights institutions. Statistics advise to keep the 30 seconds with journalists and aim 1 minute for spectators. Data shows that 1-minute target time for security procedure covers ¾ among spectators, and such timing agreement could be comfortable.

To ensure the safety and enjoyment of all spectators at the Olympics, spectators carrying forbidden items will be asked to either return them, or to dispose them immediately. Prohibited items at security gates cause the delay in entrance and may involve the customer into extra security procedures. That is why, the factor information before the games makes a smoother security-spectator contact. Journalists insisted that they were vaguely informed about the regulations regarding the entrance of the venue. Part of this position is due to the frequency of dealing with such events. Journalists are professionals who are used to attending conferences and events within the same security circumstances, so their jobs expose them to a large experience dealing with security in portals daily and maybe dozens of times. On the contrary, spectators are amateurs, usually with little previous experience in mega events, and sometimes, the excitement to the event makes the spectator forget about the instructions related to the security procedures and even if EMs did spread the information via the media, in the ticket, and by postings around the venues. It is understandable that all spectators took some necessary precautions before coming to the venue. Thanks to this cooperation, their waiting time and the security maneuver took less time. Precautions regarding security procedures for journalists are part of their duties, thus no special focus was required. The study data sustained the first part of our hypothesis that offering the spectators’ service excellence depends on the time spent at the portal before entering the venue, the quality of communication, the staff serving them, and the information previously provided regarding the security measures. Both journalists and spectators were equally satisfied with the event as a whole. Moreover, satisfaction is often evaluated by the joy felt by the event customer; indeed, customers declared not being bothered by any delays and receiving a special warm welcome.

Security agencies attempt to stay out of sight by using an array of surveillance technologies. This approach creates different security belts (layers) around the venues. The sporting event customer prefers to feel secure without seeing too much security people. The study results gave us an idea about the assortment of security people at security portals. It was very important that respondents noticed that the security people they met are mostly mixed corps, or “not official,” that is to say corresponding to the objective of recent “security model,” ensuring utter safety while respecting spectators’ dignity and meeting with civilians in all phases of venue services.

It was obvious for event spectators and journalists that the security filter is strong and they feel very secure. Regarding service quality, many authors highlight that such a feeling is satisfactory enough to judge the event successful. “Technical challenges, among these, the first concern is to ensure the safety and security of competitors and of the public”(Johnson, 2008). Respondents also pointed out that any security failures are the responsibility of the Local Police or Mounted Police, then the City Head gave special importance to Politicians in the Government, because the concept of CI has been removed from the technical and scientific and introduced to the political agenda.

The data supported our full hypothesis, and a security model in sport events should respect both the entire protection of the venue and the value of human rights when welcoming spectators. Vancouver Olympic security was one of the most talked about and most important factors in having a successful event.“After the purpose of a law has ceased to exist, or after coming to realize that some measures are ineffective, freedom’s rights then can regain full validity. This will prevent freedom’s rights from being limited longer than is absolutely necessary” (Meyer, 2004).

Eventually, it is important to stress through Vancouver 2010 how our study has contributed to theory. Whereas most previous research about security in Mega Sport Events merely displayed the problem vaguely, our study attempts to give concrete standards that will pave the way for future events and research.

Kelly and Turley (2001) never mentioned the timing as a major criterion among many that determine the quality and the outcome of the Games. Beis et al.(2006) suggested multiplying mag-and-bag security gates to a venue entry, because a person queuing for security checking should not wait longer than three minutes, and our data categorized all respondents in their range of the real time spent for security measures. Lehtinen and Lehtinen (1991) analyzed the quality of service from many dimensions whereas Chelladurai and Chang(2000) built the service quality on three criteria and failed to specify how this was measured. Greenwell et al. (2002) associated customers’perceptions with customer satisfaction. Our classifications conduct us to match the timing with the comfort level according to each range of the timing spent at the gates.

In sport tourism, Kouthouris and Alexandris (2005) considered the quality service as an event planner’s ability to coordinate with visitors. Our study differentiated the journalists from the spectators in terms of how they cooperated by taking actions that helped in the security context before appearing in the venue. Earlier, most authors merely classified service quality from different perspectives, but mainly focused on the outcome quality (Brandy& Cronin, 2001; Ko & Pastore, 2004). Dwyer and Fredline in 2008 noticed that a sport event could be differentiated from another just by its quality of service. Our study quantified the satisfaction and the dissatisfaction about the service for both journalists and spectators.

May (2004) witnessed that athletes could be negatively influenced by an excessive security presence to the point that they get scared. Tsoukala (2007) noticed that human rights defenders refuse the domination of security fields on people. Thus, our study scanned visitors’ opinions about security people and the types of visible corps nearby and at portals.

The concept of liberty, as perceived by Ericson and Doyle (2004) and Botha(2010), is that terrorists keep entire populations in fear and in security, which precipitates the urge for more severe security measures. The 2010 Olympic Games testified that journalists and spectators equally felt secure and serene, and judged the security filter at the portal as ‘hard to very strong’. Therefore, our data demonstrated that attendees were not terrorized or destabilized thanks to the tougher security standards adopted by the organizers. Our data, then, further support Toohey and Taylor’s(2008) findings.

Whereas Owen’s conceptualization (2004) of security responsibility proved to be vague, Coaffee and Wood (2006) made different agencies and governments share security rather than restricting it to organizing committees. Our data specifically ranked the “local police or mounted police”and the “local city head” as the first ones responsible for preventing, or delaying any potential terrorist attack on a well-defined sporting event, but also highlighted the differences in rank ratio between journalists and spectators.

Ashworth (1998) and Waldron (2003) cleared the notion of balance between security and liberty, Tsoukala (2007) defined the protection of civil rights and liberties vis-à-vis of public order and Johnson (2008) confirmed that successful security operations must be proportionate with the level of threat. This study provided a final report about the different attitudes of journalists and spectators in terms of comfort and service quality and also confirmed that these respondents felt secure during V2010. “In general terms, for social scientists, the contemporary security processes at sport mega-events have very strong social, political, and geographical dimensions, as reflected through social relationships, the everyday politics of the “war on terror,”and urban redevelopment” (Giulianotti & Klauser, 2010).

LIMITATIONS and DIRECTIONS for FUTURE RESEARCH

Using event service volunteers to conduct the survey was helpful. With their accreditation passes, they were easily moving between portals and had greater access to diverse spectators in different areas. However, we did not use this advantage to touch intensely other details in the questionnaire. It was the work of experts who validated the survey as they trimmed the questionnaire to avoid falling in the discomfort of respondents!

An attractive area for further research is to excavate deeply the data and find the divergence between indoor and outdoor venues. Moreover, integrating the difference between Olympics and Paralympics may be an addition to testing the proposed model. London was awarded the right to host the 2012 Olympic and Paralympic Games, and the United Kingdom suffered from recent terrorist attacks. “The 2012 Olympics will see further security legacies intechnological terms, including microphones attached to CCTV cameras and a massive extension of the national DNA database” (Giulianotti &Klauser, 2010). Then, which security model should they adopt in these Olympic Games? Contacts were made to scope a similar questionnaire with the games’ specification.

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2016-10-21T09:09:50-05:00August 21st, 2013|Contemporary Sports Issues, Sports Facilities, Sports Management|Comments Off on Security Models in Mega Sport Events between Safety and Human Rights (Case of Vancouver 2010)

College Choice Factors for Division I Athletes at an Urban University

ABSTRACT

Purpose: Recently there has been much research attention focused on the college and university choice factors of potential student-athletes. Kankey and Quarterman (2007) developed a questionnaire, which was tested on Division I softball players, and advocated for more research utilizing different athlete populations to further analyze college and university choice factors among student athletes. As a result, the purpose of this research is to apply Kankey and Quarterman’s (2007) questionnaire to one athletic department with student athlete respondents from all sports funded by a Division I athletic department in order to ascertain: What factors are important to these Division I athletes when choosing to attend their present school? Methods: Division I student athletes were surveyed regarding the importance of certain factors influencing their decisions to attend this particular urban-serving institution. Online surveys were solicited through sport programs for volunteers. Student athletes took the online survey, which was used to develop an electronic database for analysis. Surveys with missing or skipped information were discarded leaving a sample of 101 respondents (n=101). Results: Statistical analyses indicate the most important choice factor to be the coaching staff. Other important—and highly rated factors—include personal relationships, financially based reasons, and academics/ career development. The least important factors included media related issues, technology outlets, and past coaches. Conclusion: Hossler and Gallagher’s (1987) student choice model is integrated with Symbolic Interactionism in order to understand results. It appears that a variety of factors are important to student athletes, which illustrates the multifaceted identities of student athletes. Applications in Sport: Collegiate sport practitioners and/or coaches working with constrained student development programming and/or recruiting budgets are better able to streamline these processes with a better understanding of student athlete choice factors. Knowing which factors to emphasize during the choice stage of choosing a college/university will better assist urban-serving universities during program development or recruiting.

INTRODUCTION

A sizable proportion of colleges and universities within the United States support athletic opportunities for their respective student bodies (Kankey& Quarterman, 2007). One common notion is those athletic programs supported by colleges/universities are integral to the overall college experience for potential and/or current students. Indeed, Coakley (2007) articulated the common perception that student athletes positively impact universities because sport programs increase student enrollment and revenue generating opportunities. Another potential expense to colleges or universities is the process of bringing those student athletes to campus, which can be a costly venture. Urban serving institutions of higher education tend to have constrained financial resources, which mirror the social inequities of urban public schools (Jordan, 2007). Athletic departments within these institution scan benefit greatly from understanding how to efficiently recruit potential student athletes. Finally, “conducting research regarding college or university choice factors, especially when organized within a social framework,helps both practitioners and academics in understanding the identities of student-athletes by illustrating what is important to them during the recruiting process” (Vermillion, 2010, p. 1). Indeed, previous research identified the need for examining how student athletes view their identities,academic careers, and the factors influencing them to attend specific institutions of higher education. (For example, see Letawsky, Schneider,Pedersen, & Palmer, 2003; Kankey & Quarterman, 2007; Vermillion,2010).

This research focuses exclusively on Division I student athletes in an urban-serving institution and attempts to extend Kankey and Quarterman’s(2007) findings regarding factors influencing the university choice of NCAA Division I softball players by utilizing their questionnaire for student athletes of all sports. As a result, the purpose of this project is to readily identify what college or university factors influence Division I student athletes to attend their present urban-serving schools. To accurately ground this project within the previous literature, a brief background discussion of factors influencing the college or university choice of the general student body, student athletes, and sport specific student athletes is summarized.Vermillion (2010) noted the usefulness of amalgamating social theory with other education theories in order to develop a holistic, interdisciplinary framework for discussing college choice factors with student athletes. As a result,Hossler and Gallaher’s (1987) model, and Symbolic Interactionism (Blumer,1969) are combined in order to explain or describe not only the data collected,but also the results and recommendations.

Background

There has been a relatively constant stream of college and university choice factors research for the last 50 years (for example, see Astin, 1965, Gorman,1976, Kealey & Rockel, 1987, Lourman & Garman, 1995, and Hu &Hossler, 2000). Summarizing this research, several key college or university choice factors—regarding the general student body—have been identified. These key factors include academic reputation of the institution,friendship influences, proximity to family, financial aid availability, the location of the institution, and program availability. Kankey and Quarterman(2007) noted the increase of research being conducted regarding college or university choice factors as related to student athletes. The emerging line of scholarly inquiry includes, but is not limited to, research regardingwomen’s athletics (Nicodemus, 1990), male athletes in general (Fielitz,2001), male, sport-specific athletes (Ulferts, 1992; Kraft & Dickerson,1996), freshmen male athletes (Fortier, 1986), and Division III male athletes and non-athletes (Giese, 1986). Common conclusions from the aforementioned studies and other research indicates the head coach, opportunity for participation, various academic factors and amount of available scholarships are important factors influencing student athletes. However, Letawsky,Schneider, Pedersen, and Palmer (2003) noted while athletic -based factors are important to student athletes’ decisions to attend colleges or universities, non-athletic factors also contribute to the decision to attend apresent college or university. To our knowledge, there has been little to no exploration of college choice factors of student athletes in one athletic department with respondent representation of all athletic programs.Additionally, there has been very little research done examining urban-serving institutions and their respective athletic departments. In order to adequately understand college choice factors and urban serving schools’ athletics, a theoretical framework is needed to guide not only research questions, but also interpretation of the descriptive statistical results.

Conceptual Framework

The original conceptual framework utilized by Kankey and Quarterman (2007)to organize and represent their data and findings was Hossler and Gallaher’s (1987) model. Hossler and Gallaher’s model has also been adapted to better understand this research. Specifically, it is a three-stagemodel that identifies and describes the college selection process of individuals and is composed of three stages: predisposition, search, and choice stages. The predisposition stage is the time when students decide if they want to continue into higher education by pursuing colleges or universities, while the search stage encompasses the individual’s evaluations of college or universities, which includes large amounts of interaction. Finally, the choice stage focuses on the submission of application to a targeted pool of colleges or universities.Regarding sport, Kankey and Quarterman (2007) focused primarily on the last stage within Hossler and Gallagher’s (1987) model, which is when the student athlete develops serious intentions about a select few colleges or universities. The student athlete engages in a cost-benefit analysis in order to determine the positives and negatives of each college or university and attempts to make a sound decision. For student athletes, this stage could encompass not only being recruited, but also critically examining the factors that are the most pertinent to their specific situation and taking official visits. Focusing on the “choice stage” is also salient for this project, which addresses college athletes attending an urban serving institution. Understanding why some student athletes choose to attend one college or university over another competitor is important for understanding student athletes’ educational, athletic, and social motivations to attend institutions of higher education.

Symbolic Interactionism

Vermillion (2010) noted Symbolic Interactionism (SI)—a sociological theory focusing on identity, social interaction, and symbolinterpretation—is easily applied to many areas within the institution of sport. Using a micro level of analysis, SI provides a description or explanation of the constructed reality of spectators, athletes, or coaches(Coakley, 2007). Additionally, Cunningham (2007) noted SI understands how people give meaning to their participation or consumption of daily activities.Recently, SI has been used by a variety of scholars to examine a wide variety of sport-based social dynamics, including student athlete choice factors. Some of this research includes, but is not limited to: understanding sport subcultures and the resulting socialization process of rugby players and rock climbers (Donnelly & Young, 1999); examining the role of athletics in gay or lesbian athletes’ lives (Anderson, 2005); explaining the disproportionate lack of women in sport organization leadership positions(Sartore & Cunningham, 2007); understanding how students interpret and consume indigenous sport imagery (Vermillion, Friedrich, & Holtz, 2010); or examining the college choice factors important for influencing community college softball players to attend their current school (Vermillion, 2010).

SI is composed of three basic assumptions. Hughes and Kroehler (2005)summarize Blumer (1969) and Fine (1993) and stated the following theory tenets:1) we interact with things in our social environment based upon shared meanings, 2) these meanings are not inherent, but rather, are social constructions, and 3) shared meanings are in a perpetual state of change and evolution. Interactions and communication within a specific social environment adheres to the aforementioned assumptions and helps to form an individual’s “constructed reality,” which is an individual’s interpretation of the social world and dynamics around them(Eitzen & Sage, 2009). When combined with Hossler and Gallagher’s(1987) choice model, we are better able to understand the social psychological processes interacting within the decision to attend or not attend a specific urban -serving institution.

Explaining or describing choice factors important to athletes in urban-serving institutions is important by highlighting the social psychological processes associated with the decision to attend a specific institution of higher education. SI’s focus on the “meaning”athletes give to their participation is useful for examining the power the“athlete role” has on not only the identity of the student athlete,but also the decisions that student athlete makes. Stryker (1980) addressed oneof SI’s limitations—lack of a focus on social structure (Ritzer,2000)—by combining SI with role theory. This adapted version of SI identifies the importance of social roles within the lives of individuals,which are forms of social structure. Student athletes, for example, have multiple roles that they “play” throughout the day, including being a student, university representative, son/daughter, sibling, friend, and athlete. Examining the social-psychological process of how impactful these roles are upon the individual in question provides practitioners insight into the programs, services, or infrastructures that should be emphasized during the costly process of student athlete recruitment. As previously noted urban-serving, institutions tend to suffer from constrained fiscal environments, which are similar to those constraints faced by urban public schools (Jordan, 2007). SI’s usefulness lies in the fact it understands individuals are decision-makers, and provides a structured, analytical way for highlighting how the decisions student athletes make impact not only their social environments (Hughes & Kroehler, 2005), but also the colleges oruniversities they attend (Vermillion, 2010).

Significance

This research project is significant in a number of ways. First, there is very little research done examining the choice factors of: 1) all sports (and resulting athletes) in one athletic department, and 2) athletes from an urban-serving institution. The purpose of this research is to address these gaps in the previous literature. Secondly, the research would also be useful to college or university athletic programs. Specifically, the research will help to streamline the recruiting process for many athletic departments—ofsimilar composition—by addressing the most important choice factors for student athletes in these types of schools. As a result, a better and more efficient allocation of recruiting funds may be developed in order to maximize shrinking recruiting budgets. Moreover, this research is particularly timely as athletic departments attempt to build relationships with other university,academic-based programs. If certain academic programs are identified as particularly salient to potential student athletes, then athletic department personnel can work with other academic administrators in order to: 1) bridge the increasing division and distance between academic programs/the campus community and athletic departments, and 2) demonstrate a commitment to a holistic student athlete experience, which includes the social, athletic, and professional/academic development of the student athlete.

Finally, urban-serving institutions, historically, are comprised of student populations that differ from institutions not classified as such. Urban-serving school districts have higher rates of poverty, racial/ethnic diversity, and equalized access to strong community and educational infrastructures (Howey,2008). As Jordan (2007) noted, urban-serving colleges or universities mirror many of the same inequality patterns found in urban, public school districts.As a result, more research is needed in order to understand collegiate athletics within an urban- embedded university context. It can be hypothesized that universities within urban settings—or designated as urban-serving institutions—have athletic departments that must recognize the relatively unique nature of these campus communities, which may manifest itself in unique athletic facilities, programs, and/or recruiting efforts and strategies.

Research Questions

The research question guiding this research was influenced by previous sport-based research centering on college or university choice factors for student athletes. Based upon Hossler and Gallagher’s (1987) model, are cognition of the uniqueness of urban-serving institutions of higher education, and utilized in conjunction with SI’s theoretical influence,the following research questions is posed: Which college and university choice factors are the most influential for having Division I athletes attend their present urban serving institution? That is, what factors are the most important to Division I student athletes when deciding to attend their present school?

METHODOLOGY

Participants

Respondents for the study were selected from the student athlete population of a large, state university located in the southern high plains of the United States. The university is designated as an urban-serving university and is embedded in an urban environment within a predominantly rural state. It is important to note the university is designated as a Division I (formerly known as Division I AAA) by the NCAA. This is the label given to Division I athletic departments that do not fund or field football teams. As a result, the potential survey population is slightly smaller as compared to FBS (FootballBowl Subdivision) or FCS (Football Championship Series) athletic departments,formerly known as Division I A and Division I AA respectively. Surveys we readministered as online surveys and once surveys were completed, responses were automatically entered into a spreadsheet, which was imported into SPSS 17.0 in order to develop an electronic database. Surveys with missing (skipped)questions or ambiguous answers were discarded and not included in the database.While not all student athletes responded fully, there was representation of all athletic programs administered by the athletic department at the time of data collection. After data collection a total of 101 usable surveys were included in the analysis (n=101).

In order to determine the demographics of the respondents, basic questions were asked to determine gender, academic status (freshman, sophomore, junior,and senior), country of origin, race or ethnicity and sport they participated in. The resulting sample included more females than males (65% vs. 35%) and was composed of freshmen (23.2%), sophomores (30.3%), juniors (29.3%), and seniors(17.2%). The majority of respondents listed white as their race/ ethnicity(64.6%) or African-American/Black (30.2%) and their country of origin as the United State (84.5%). Finally, table 1 illustrates the percent of respondents based upon sport.

Table 1

Percent of respondents by sport categories (n=101).

Sport Percent (%) N
Baseball 9.1 9
Softball 6.1 6
Women’s Basketball 10.1 10
Men’s Basketball 5.1 5
Volleyball 10.1 10
Men’s track 11.1 11
Women’s track 24.2 24
Men’s golf 4 4
Women’s golf 3 3
Women’s tennis 4 4
Men’s tennis 4 4
Cross Country 9.1 9

Measure

The data collection survey consisted of the aforementioned five demographic questions and college choice factors used by Kankey and Quarterman (2007). Permission was obtained by the primary researcher to use the Kankey and Quarterman factor list for additional research and was adapted to this research focusing on Division I student athletes. The possible answer choices regarding the importance of the college choice factors included “extremely important,” “very important,” “moderately important,” “slightly important,” and“unimportant,” which were numerically coded with “extremely important” rating a five (5) while “unimportant” was rated as one (1). As a result, the higher the rating, the more important the college choice factor was to the student athlete.

Procedure

Student athletes were asked by their coaches or athletic program administrators to complete the online survey. Additional follow-up contacts were made to specific programs to ensure that there was student athlete representation from all sponsored sports in the athletic department. Informed consent was done electronically with the disclaimer attached to the electronic version of the survey. Student athlete participation was not mandatory, but it was encouraged. All results are not simply confidential, but also anonymous because a detailed respondent record cannot be tracked or charted in the current electronic database. Surveys were taken by student athletes while coaches and staff were not present to avoid any influence or tainting of respondent self-reports. The gathered statistical information was shared with the athletic department in addition to being used for this research. Electronic survey information, which was saved in spreadsheet format, was imported into SPSS 17.0 for data analysis.

RESULTS

In keeping with Kankey and Quarterman (2007) a descriptive analysis is used to initially describe and identify the college choice factors associated with Division I athletes attending urban-serving institutions. Regarding the research question (what factors are the most important to Division I student athletes when deciding to attend their present school?), initial univariate responses indicate that 87% of the factors presented in this research were at or above the midpoint of the scale (M= 3.00). In addition, almost half of the factors (15 out of 32, or almost 47%) had means over 4.00 with over 70% of respondents rating these factors as ‘extremely’ or ‘very important’ to their choice to attend this urban-serving university. The seven most highly rated factors, which had mean scale scores at or above 4.25,included coaching staff (M=4.68, SD=0.66); amount of financial aid or scholarship offered (M=4.47, SD=078); support services offered to studentathletes (e.g. study hall, tutors, etc…)(M=4.44, SD= 0.74); availability of resources (money, equipment, etc…)(M=4.31, SD=0.75); opportunity to win conference or national championship (M=4.27, SD=0.83); availability of major (M= 4.25, SD=0.94); and social atmosphere of team (M=4.25, SD= 0.88). See table 2.

The means of only three factors were rated below the scale midpoint. These factors included amount of media coverage (M=2.96, SD=1.94); high school coach(M=2.87, SD= 1.44); and team’s website, Facebook, Twitter (M=2.66, SD=1.21). Only about 30% of the respondents rated these three factors as‘extremely’ or ‘very important’ in their decision to attend this particular urban-serving institution and participate in athletics.See table 2.

Table 2

Mean, Standard Deviation, and Percent (%) of Factor Choices Influencing Division I Student Athletes to attend their Urban-serving Institution(n=101).

Factor Mean SD % rated extremely or very important
Coaching staff 4.68 0.66 94%
Amt of financial aid/scholarship offered 4.47 0.78 86.2%
Support services offered to student athletes (e.g. study hall, tutors, etc…) 4.44 0.74 89.1%
Availability of resources (e.g. money, equipment, etc…) 4.31 0.75 85.1%
Opportunity to win conference or national championship 4.27 0.83 83.2%
Availability of anticipated major 4.25 0.94 84.2%
Social atmosphere of team 4.25 0.88 81.2%
Athletic facilities 4.21 0.83 83.2%
Career opportunities after graduation 4.20 0.95 78.2%
Team’s competitive schedule 4.20 0.80 84.2%
Meeting team’s members 4.12 0.98 74.2%
Amt of playing time 4.10 1.02 77.3%
Overall reputation of the college/university 4.10 0.90 80.2%
Academic reputation of the college/university 4.10 1.00 71.2%
Team’s overall win/loss record 4.03 0.86 73.3%
Team’s tradition 3.89 0.85 68.3%
Location of university 3.86 1.04 66.4%
Opportunity to play immediately 3.82 1.08 59.4%
Conference affiliation of team 3.82 0.96 61.4%
Cost of college/university 3.76 1.26 64.3%
My parents 3.76 1.37 59.5%
Housing 3.66 1.04 57.5%
Campus visit 3.64 1.13 62.4%
Fan support of the team 3.60 1.12 52.5%
Social life at the university 3.54 1.13 51.5%
Campus life at college/university 3.53 1.01 48.5%
My friends 3.26 1.39 46.5%
Size of the college/university 3.24 1.10 39.6%
Team sponsorships (e.g. Nike, Adidas, UnderArmor) 3.24 1.39 42.5%
Amt of media coverage 2.96 1.24 30.7%
High school coach 2.87 1.44 37.6%
Team’s website, Facebook, Twitter 2.26 1.21 34.7%

DISCUSSION

The purpose of this research was to identify the college choice factors mostsalient to Division I athletes attending urban-serving institutions. Table 2highlights the factors that were most readily identified by these studentathletes as impactful and relates to Hossler and Gallagher’s (1987)choice stage. Using symbolic interactionism (SI)—a social psychologicaltheory examining how sports are related to peoples’ choices and identities—may be beneficial for understanding the most and leastimportant factors for student athletes (Vermillion, 2010). As reported bystudent athletes, there are many factors that go into the choice to attend this particular urban-serving institution. Personal or social relationships (e.g.coaching staff, social atmosphere of team), career goals (e.g. support services, availability of major, career opportunities after graduation),finances (e.g. amount of financial aid/scholarship offered), and program success (e.g. opportunity to win conference or national championship) wereself-reported as influencing their decisions. Conversely, media coverage,technology outlets (e.g. website, Facebook, and Twitter), and previous headcoach had little to no impact upon their ultimate decision to attend thisuniversity.

These categories of factors illustrate how multi-faceted student athletes are regarding both their personal and athletic identities. Specifically, SI notes sports are important to an individual’s identity; with this information both academics and collegiate sport practitioners are able tobetter understand motives of student athletes when choosing colleges/universities and athletic departments/programs. In keeping with much previous research (e.g. Kankey & Quarterman, 2007), the importance of relationships—especially with coaches—tops the list of college choice factors. Indeed, Seifried (2006) noted the importance—on manylevels—of coaches within the lives of student athletes. Although the importance of “coaches” is not unexpected, additional results reveal the highly variegated nature of student athletes’ perceptions of themselves.

Athletic-related reasons, such as opportunity to win a conference ornational championships or the availability of resources, are still factors influencing the student athletes in this sample. However, Letawsky et al.(2003) noted the importance of non-athletic factors in deciding on a college/university. Regarding this sample, non-athletic factors appear salient,as well. For example, financial reasons (e.g. financial aid/scholarships) andpreparation for a professional career after sports (e.g. availability of major,support services offered to student athletes, and career opportunities after graduation) all had mean scores above 4.00, with almost 80% of respondents listing these non-athletic factors as ‘extremely’ or ‘very important’ in relationship to their decision to attend their urban-serving university.

Interpreting these findings from an SI framework would focus on the lack of role homogeneity within the sample. That is, these student athletes appear to“see” themselves as having multiple roles, which relates to amultifaceted or holistic identity. As a result, this research is in alignment with Letawsky et al.’s (2003) conclusions that non-athletic factors are important to student athletes, while simultaneously acknowledging that winning and athletic success is important to student athletes. Both of these models,i.e. student athlete development and performance and success, can be promoted effectively during recruiting processes.

CONCLUSION

The purpose of this research was to identify the most important college choice factors regarding Division I student athletes attending urban-serving institutions. Utilizing the college choice factors identified by Kankey and Quarterman (2007) and their analysis as a guide, student athletes were surveyedin an attempt to better understand their motives for attending an urban-serving institution. The research contributes to not only academic scholarship, but also advocates for the integration of social theory into athletic department data management strategies and recruiting. Streamlining the recruiting processis important in a collegiate athletic climate that is fiscally constrained and extremely competitive, especially at the Division I, FBS, and FCS levels.Smaller, less visible sports and/or athletic departments must find ways to become more efficient with student athlete recruitment. Additionally,common sensical or popular notions of funneling money into newer athletic facilities and media or technological outlets do not appear productive for all levels of collegiate sport; they are not a panacea for recruiting barriers nordo they automatically translate into traditional definitions of success. While these highly popular endeavors are important to maintaining a visible athletic department profile, this research hypothesizes—based upon the aforementioned results—they should not be viewed as the most productive recruiting tools. This research has identified how multifaceted student athletes may very well be, and that a commitment to a holistic student development model may be an efficient recruiting tool for student athletes,especially within Division I, urban-serving universities.

Limitations & future research

As with any research, there are limitations that should be identified.Firstly, the university student athlete population that was surveyed did notinclude a football team, which not only decreased the number of potentialsurvey respondents, but also limits the generalizability of the results. Additionally, using a Division I athletic department also decreases thegeneralizability of the research. Future research should extend the college choice factor scales to include FBS and FCS schools. Focusing on urban-serving institutions is a productive endeavor, but more research needs to be doneinvolving the athletic departments in these types of colleges/universities.According the Coalition of Urban Serving Universities, there are almost 50 nationally recognized urban-serving schools (Great cities, great universities,n.d.), many of which fund athletic programs.

Another limitation involves extrapolating group level summaries (such asmeans of college choice factors) to the individualistic level. SI recognizes the importance of group dynamics upon the individual. However, recruiting and the decision to attend one particular university is a decision that ultimately comes down to a single person, as evidenced in Hossler and Gallagher’s(1987) model, which focuses on the individualistic decision. Student athlete recruitment is a dynamic social psychological process that appears to be acombination of many factors. Sole reliance upon the factors identified in this research would be a disservice to not only collegiate sport practitioners, butalso the recruited student athletes.

APPLICATIONS IN SPORT

Division I student athletes see themselves as more than solely athletes;they have many “roles” to play throughout a given day, week,semester, or season. These roles include, but are not limited to: the athleterole (wanting program success), the social role with others (coachrelationships and social atmosphere of the team), and the student role(focusing on academics and preparing for a professional career after sports).It is important for collegiate sport practitioners involved in recruiting torealize that funneling resources exclusively into media/technology outlets orfacilities does not appear to be efficient or productive recruiting tools. Instead, these practitioners during recruiting efforts should focus on:programs for student success, professional preparation opportunities,highlighting the social and personal relationships within their athletic department/program, and programmatic success. The aforementioned focal pointsillustrate not only holistic student athlete development but also present athletic departments an opportunity for increasing campus wide collaborative efforts.

Of particular importance to urban-serving universities and athleticadministrators, the factor “location of the university” had a meanof 3.86 (midpoint of scale, M=3.00) with over 66% of respondents indicating itwas ‘extremely’ or ‘very important’ to them. It could be interpreted—cautiously, of course—that the stigma of the urban environment education as a disadvantage is unfounded and that, to some studentsor majors, the urban-serving mission and context could be perceived as a unique advantage.

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2016-04-01T09:11:40-05:00November 29th, 2012|Contemporary Sports Issues, Sports Facilities, Sports Management, Sports Studies and Sports Psychology|Comments Off on College Choice Factors for Division I Athletes at an Urban University
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