Transformational Leadership and Organizational Effectiveness in Recreational Sports/Fitness Programs

Abstract

The concept of leadership has gained a large amount of attention in recent years. This paper explores the relationships between transformational leadership and organizational effectiveness in the field of recreational sport and leisure. First, it reviews a discussion on the problem of organizational leadership from the perspective of the transactional- transformational model, particularly the arguments of researchers such as Burns and Bass. It examines the components of transformational leadership, and then investigates several approaches to the conceptualization and measurement of organizational effectiveness. Finally, the controversy concerning the impact of transformational leadership upon organizational effectiveness is discussed, and an argument is made that greater transformational leadership seems to be at least indirectly related to a higher degree of organizational effectiveness.

Transformational Leadership and Organizational Effectiveness in Recreational Sports/Fitness Programs

Leadership has drawn great attention from scholars in various fields in recent years. Yukl (1989) wrote that “the study of leadership has been an important and central part of the literature of management and organization behavior for several decades” (p. 251). Paton (1987), too, realized that leadership has become the most popular subject within the field of sports management. Weese (1994) furthermore advised that some 7,500 citations on leadership appear in Bass and Stogdill’s Handbook of Leadership (1990). In an article on sports management and leadership, Sourcie (1994) noted that quite a few doctoral dissertations focus on “managerial leadership in sport organizations”. Earlier, Sourcie (1982) had estimated that nearly 25 studies on leadership were completed between 1969 and 1979, as reported in Dissertation Abstracts International, while the same source shows that 30 additional doctoral researchers employed leadership as the primary dependent variable of dissertation research between 1979 and 1989 (p. 6).

There is great controversy over the definition of leadership and thus over approaches to studying leadership (Yukl, 1989). The present authors, however, focus exclusively on the transactional-transformational leadership model and the relationship between transformational leadership and organization effectiveness. The paper looks first at definitions of transactional and transformational leadership and the components of transformational leadership. It then reviews discussions of the transactional-transformational leadership model, particularly the differences between and relationships shared by the concepts of transactional and transformational leadership. In addition, it describes the four elements of transformational leadership.

The paper also investigates existing studies of organizational effectiveness and looks at scholars’ varying approaches to organizational effectiveness. Following this, it discusses the relationships between transformational leadership and organizational effectiveness. Finally, through a review of related literature from the field of recreational sports and fitness programs, the authors examine relationships between transformational leadership and organizational effectiveness.

The Transactional-Transformational Leadership Model

Working from Burns’s earlier efforts (1978), Bass (1985) elaborated the transactional-transformational model. As Yukl (1989) wrote, Bass offered a more thoroughly detailed theory of transformational leadership that further differentiated transformational from transactional leadership. Bass viewed transformational leadership from the perspective of leaders’ influence on subordinates. Influenced by transformational leaders, subordinates become motivated to surpass original expectations (Yukl, 1989). Bass argued that transactional leadership and transformational leadership are “distinct dimensions rather than opposite ends of one continuum” (Doherty & Danylchuk, 1996) Or, as Yukl (1989) and Weese (1994) wrote, while transactional leadership and transformational leadership are closely related parts of leadership, they remain distinct.

In addition, Bass viewed transformational leadership as an augmentation and extension of transactional leadership. In his understanding, “[A]ll leaders are transactional, to some extent, exchanging rewards for performance, but some leaders are also transformational, going beyond simple leader-subordinate exchange relations” (Doherty & Danylchuk, 1996, p. 294). Studies by other researchers support Bass’s argument both empirically and theoretically, according to Doherty and Danylchuk (1996).

In his discussion of transformational leadership among the coaches of sports teams, Armstrong (2001) laid out four main characteristics of transformational leadership: (a) ethical behavior, (b) shared vision and shared goals, (c) performance improvement through charismatic leadership, and (d) leadership by example (p. 44–45). Armstrong’s framework is a simplified version of the components of transformational leadership provided by Bass (1985), who identified those as intellectual stimulation, individual consideration, inspirational leadership, and idealized influence (Doherty & Danylchuk, 1996; Weese, 1994). Intellectual stimulation refers to a leader’s capability to stimulate followers to become curious and creative about thinking and problem solving (Doherty & Danylchuk, 1996; Weese, 1994). Individual consideration describes the relationship between leader and follower in terms of two dimensions, developmental orientation and individual orientation (Doherty & Danylchuk, 1996). A developmental orientation exists when leaders “assign tasks that will enhance an individual’s potential, abilities, and motivation” (Doherty & Danylchuk, 1996, p. 295). An individual orientation exists when a leader stresses “mutual understanding and familiarity via one-on-one relations and two-way communication” (Doherty & Danylchuk, 1996, p. 295).

Inspirational leadership refers to the transformational leader’s inspiration and encouragement of subordinates, which creates emotional attachment to the leader and greater identification with his or her vision for organizational goals (Doherty & Danylchuk, 1996; Weese, 1994). The final element is idealized influence, which is closely related to charisma (Weese, 1994). Doherty and Danylchuk (1996) view idealized influence as “the behavioral counterpart to charisma” (p. 295), with the leader’s traits promoting commitment among followers in order to tap their full potential (Doherty & Danylchuk, 1996; Weese, 1994).

Organizational Effectiveness

Effective leadership has a positive impact on behavior within organizations, according to many leadership researchers; transformational leadership’s role in improving many factors of organizations is especially pronounced (Weese, 1994). The effectiveness of behavior within organizations—the effectiveness of their performance—is known as organizational effectiveness.

The concept of effectiveness is of great importance to an understanding of organizational behavior (Chelladurai & Haggerty, 1991). However, organizational effectiveness is a term that is complicated, controversial, and difficult to conceptualize (Chelladurai, 1987). It is little wonder there are several different approaches to measuring and studying organizational effectiveness. As Sourcie (1994) mentioned briefly, Chelladurai and Haggerty (1991) describe four ways to measure organizational effectiveness; these methods are the goal approach, system resource approach, process approach, and multiple constituency approach.

The goal approach is the most widely used, according to Weese (1997). It assesses the effectiveness of an organization in terms of its success in realizing its goals (Pratt & Eitzen, 1989). Regarded as the “most logical approach” to studying organizational effectiveness (Chelladurai and Haggerty, 1991, p. 127), the goal approach nevertheless has its weaknesses. Most obvious is the reality that an organization may have numerous goals that may conflict with one another (Weese, 1997; Pratt & Eitzen, 1989). In addition, an organization’s goals may shift over time, especially its short-term operative goals (Pratt & Eitzen, 1989). Goal shifts may result from an organization’s interactions with its environment, from internal changes, or from external pressures. When an organization’s goals are “unclear, unstable, and conflicting with each other” (Chelladurai & Haggerty, 1991, p. 127), it becomes very difficult to measure organizational effectiveness using the goal approach.

The third approach is the process approach, which focuses on organizational functioning and integration (Chelladurai & Haggerty, 1991). Under this approach, an organization’s effectiveness is viewed in terms of the smoothness and efficiency of its internal processes and general operation (Sourcie, 1994). Weese (1997) pointed out that effective operations of an organization do not necessarily result in “heightened organizational effectiveness,” because the sum of efficient components may not lead to an efficient whole (p. 267). Thus the process approach for measuring organizational effectiveness is also not without limitations.

In light of the limitations and disadvantages associated with these three approaches, a fourth, the multiple-constituency approach, was also proposed (Weese, 1997). Under the multiple-constituency approach, the opinions of the various constituent groups of an organization are considered in determining the effectiveness of the organization (Sourcie, 1994; Weese, 1997). Chelladurai and Haggerty (1991) discussed the differences between the multiple constituency approach and the earlier approaches. They noted that the former incorporates the other three within one model that “envisions the differential evaluation of an organization by different constituents on one or more dimensions of effectiveness. . . . [such as] productivity, resource acquisition, or internal processes.”

Organizational effectiveness is ambiguous in conceptualization and difficult to measure, due to the fact that it involves multiple dimensions, for example goals, processes, and resources (Chelladurai & Haggerty, 1991). To date, the multiple constituency model, in creating a synthesis of the earlier goal approach, process approach, and system resource approach, appears to best represent the multiplicity of organizational effectiveness.

Relation to Organizational Effectiveness

Efforts have been made to study the relationship between leadership (particularly transformational leadership) and organizational effectiveness. There is controversy, however, over whether transformational leadership has a positive impact on organizational effectiveness. For example, Weese’s (1996) study of the relationships among transformational leadership, organizational culture, and organizational effectiveness showed no significant relationship between transformational leadership and organizational effectiveness. Similarly, Weese (1996) and Lim and Cromartie (2001) found transformational leadership not to relate significantly to organizational effectiveness. They suggested that subordinates play an important role in an organization’s effectiveness.

Interestingly, in an earlier article, Weese (1994) pointed out that many who have studied leadership have found “convincing evidence” for leadership’s importance to the “success and survival” of an organization. He noted that transformational leaders, especially, “have a positive impact on employee satisfaction, productivity, and organizational effectiveness” (Weese, 1994, p. 188).

In addition, the studies by Weese (1996) and Lim and Cromartie (2001) recognized that a significant relationship exists between transformational leadership and organizational culture, while rejecting the argument that transformational leadership has an impact on organizational effectiveness. However, both studies also recognized that organizational culture has great influence on organizational effectiveness (Lim and Cromartie, 2001; Weese, 1996). The implication is that transformational leadership and organizational effectiveness do have an indirect relationship.

Conclusion

Leadership is an important but controversial concept in understanding organizational behavior. Burns (1978) and Bass (1985) provided a theoretical framework for two aspects of leadership, the transactional and the transformational leadership paradigms. Organizational effectiveness is no less controversial than leadership, and there are four approaches to measure and study it. The most comprehensive approach developed to date appears to be the integrated multiple constituency approach.

While the existing studies of relationships between transformational leadership and organizational effectiveness are controversial as well, it seems that leadership has at least an indirect impact on organizational effectiveness. Further empirical research and theoretical exploration needs to be conducted in order to gain better understanding of the topic.

References

Armstrong, S. (2001). Are you a “transformational” coach? Journal of Physical Education, Recreation and Dance, 72(3), 44-47.

Bass, B. M. (1985). Leadership and Performance Beyond Expectations. New York: Free Press.

Bass, B. M. (1990). Bass and Stogdill’s Handbook of Leadership: Theory, Research and Managerial Applications. New York: Free Press.

Burns, J.M. (1978). Leadership. New York: Harper & Row.

Chelladurai, P. (1987). Multidimensionality and multiple perspectives of organizational effectiveness. Journal of Sport Management, 1(1), 37-47.

Chelladurai, P., & Haggerty, T.R. (1991). Measures of organizational effectiveness of Canadian national sport organizations. Canadian Journal of Sport Sciences, 16(2), 126-133.

Doherty, A. J., & Danylchuk, K.E. (1996). Transformational and transactional leadership in interuniversity athletics management. Journal of Sport Management, 10(3), 292-309.

Ghorpade, T. (1970). Study of organizational effectiveness: Two prevailing viewpoints. Pacific Sociological Review, 13, 31-40.

Lim, J. Y., & Cromartie, F. (2001). Transformational leadership, organizational culture and organizational effectiveness in sport organizations. The Sport Journal, 4(2), 111-169.

Paton, G. (1987). Sport management research: What progress has been made? Journal of Sport Management, 1, 25-31.

Pratt, S. R., & Eitzen, D. S. (1989). Contrasting leadership styles and organizational effectiveness: the case of athletic teams. Social Science Quarterly, 70(2), 311-322.

Sourcie, D. (1982). Management Theory and Practice. In E.F. Zeigler (Ed.), Physical Education and Sport: An Introduction. Philadelphia: Lea & Febiger.

Sourcie, D. (1994). Effective managerial leadership in sport organizations. Journal of Sport Management, 8(1), 1-13.

Weese, W. J. (1994). A leadership discussion with Dr. Bernard Bass. Journal of Sport Management, 8(3), 176-189.

Weese, W. J. (1996). Do leadership and organizational culture really matter? Journal of Sport Management, 10(2), 197-206.

Weese, W. J. (1997). The development of an instrument to measure effectiveness in campus recreation programs. Journal of Sport Management, 11(3), 263-274.

Yuchtman, E., & Stanley, S.(1967). A systematic resource approach to organizational effectiveness. American Sociological Review, 32, 891-903.

Yukl, G. (1989b). Managerial leadership: a review of theory and research. Journal of Management, 15(2), 251-289.

2017-08-07T11:56:46-05:00February 15th, 2008|Sports Coaching, Sports Management|Comments Off on Transformational Leadership and Organizational Effectiveness in Recreational Sports/Fitness Programs

Athletes’ Expectations for Success in Athletics Compared to Academic Competition

INTRODUCTION

In
this paper, we describe a study in which we investigate attitudes
held by student-athletes and non-athlete students towards
academic and athletic success. Athletic success is largely
viewed in the United States as a vehicle for disadvantaged
students to attain higher education. Most colleges and universities
in the U.S. have admittance programs in which a designated
percent of students who do not meet standard admissions criteria
are allowed to enroll. According to the National Collegiate
Athletic Association (1995), about 3% of all students enter
college under these programs. However, more than 20% of college
football and basketball players enter universities under special
admittance programs (Lapchick 1995). Thus, athletic prowess
may allow for an increased opportunity for education.

While
successful high school athletes may have increased educational
opportunities, these students often struggle when they enter
college. College athletes earn fewer bachelor’s degrees than
do students in general, they take longer to do so, their grades
are lower, and their curricula are less demanding (Adelman
1990).

Some
have also argued for the social benefit of sport participating.
Findings indicate that sport involvement is an important activity
that has the potential for reducing at-risk behavior and enhancing
development in adolescents (Agnew and Peterson 1989; Burling,
Seidner, Robbins-Sisco, and Krinsky 1992). However, student-athletes
report greater difficulty than other students in taking leadership
roles, learning from their mistakes, discussing their personal
problems, and articulating their thoughts (Dudley, Johnson,
and Johnson 1997).

One
reason that student-athletes struggle in college may be that
athletes have unrealistic expectations for careers in professional
sports. While a relatively high percentage of university athletes
expect careers in professional sports (Center for the Study
of Athletics 1989; Kennedy and Dimick 1987) a professional
sports career is not an option for any but the most elite
of student athletes (Lapchick 1991).

It
appears that student-athletes are diverted into athletic career
aspirations and away from mainstream opportunities for success,
such as academic achievement. In that student-athletes often
struggle academically and socially in college, it may be that
athletes expect greater costs and fewer benefits to accompany
a university education than do other students. We predict
that student-athletes, in comparison to scholars (not athletes),
will indicate higher expectations for costs and fewer expectations
for benefits to obtain from a successful university education.

Athletes
also often hold unrealistic expectations for professional
sports careers. We predict that student-athletes will expect
lower costs and higher benefits to accompany sport involvement
than will scholars (not athletes). And, because of expectations
for careers in professional sports, we also predict that athletes
will indicate lower motivation toward school performance and
higher motivation toward athletic performance than will scholars.

SURVEY
INSTRUMENTS

We
designed two survey instruments to measure the costs and benefits
that students expect to accompany academic and athletic success,
as well as motivation to perform both athletically and academically.
We designed one instrument, the Student Academic Questionnaire
(SAQ), to measure attitudes towards academic success and the
other instrument, the Student Assessment Survey (SAS),
to measure attitudes towards athletic success.

Each
respondent is assigned one of the two questionnaires. After
answering a number of demographic items, the respondent reads
a brief vignette. The vignette for the SAQ informs students
that the researchers are interested in looking at ways that
individuals feel about academic success. Respondents are asked
to imagine themselves in a scenario in which they are successful
university students. The vignette for the SAS tells students
that the researchers are interested in measuring attitudes
about athletic success. Respondents read a vignette in which
they are successful university athletes.

Imagining
themselves in the given scenario, respondents answer a number
of attitude questions designed to measure the costs, benefits,
and performance motivation they feel towards academic or athletic
achievement. We included three scales (each containing between
8 and 18 items) in the attitude questions, one for academic
or athletic costs, one for academic or athletic benefits,
and one for performance motivation. Questions in each scale
were identical across questionnaires except that we included
information about academic success in questions on the SAQ
and information about athletic success in questions on the
SAS. Respondents answered all questions on 5-point scales
from “Strongly Agree” to “Strongly Disagree.”

PREDICTIONS

We
make the following predictions regarding the costs, benefits,
and motivations that non-athlete scholars and student-athletes
will feel towards academic and athletic success:

Hypothesis
1: Student-athletes, in comparison to scholars (non-athletes)
will

  1. anticipate higher costs accompanying a college education,
  2. anticipate
    lower benefits accompanying a college education, and
  3. be
    less motivated to perform at a high level academically.

Hypothesis
2: Student-athletes, in comparison to scholars (non-athletes)
will

  1. anticipate lower costs accompanying athletic success,
  2. anticipate
    higher benefits accompanying athletic success, and
  3. be
    less motivated to perform at a high level athletically.

RESULTS

In
order to test the hypotheses described above, we passed out
the SAQ and the SAS to samples of students at The University
of Akron, The University of Iowa, Kent State University, and
Louisiana State University. Among the demographic items on
the questionnaires, we designed six questions to measure whether
we should classify respondents as scholars, athletes, or both.
We asked respondents their high school academic and sports
involvement, their academic and athletic scholarship status
in college, and whether they viewed themselves primarily as
scholars or athletes.

The
three items we designed to measure athletic status showed
strong correlations with each other-all correlations produced
probability levels less than .001. The same is true for the
items designed to measure academic status. Because correlations
between items were so high, we chose one item, the extent
to which respondents considered themselves scholars or athletes,
as our measure of academic or athletic status.

We
asked respondents two questions to evaluate the extent to
which they considered themselves primarily athletes or scholars,
with 1 indicating “very much” and 9 indicating “not
at all.” If respondents circled 4 or lower on the scholar
scale and greater than 5 on the athletic scale, we considered
them scholars in our analysis. If respondents circled greater
than 5 on the scholar scale and 4 or less on the athletic
scale, we considered them athletes for our analysis. Again,
answers to these questions correlated highly with high school
athletic involvement and with academic or athletic scholarship
status.

SAQ
Findings

The
SAQ measured the costs, benefits, and motivation that students
felt towards academic success. In all, 302 students completed
the SAQ, 135 scholars and 33 athletes. We predicted that student-athletes
would perceive greater costs for academic success than would
scholars. The cost of success scale is an average of the fourteen
items designed to measure the costs of academic success, with
1 indicating low costs of academic success and 6 indicating
high costs. The mean score on the SAQ cost of success scale
for scholars was 1.42 (st. dev. = .47) and for student-athletes
was 1.53 (st. dev. = .52). This difference is in the predicted
direction-athletes perceive higher costs for academic success
than do scholars. A t-test of the difference, however, is
not significant (t = 1.167, one-tailed p = .123).

We
also predicted that student-athletes would perceive fewer
benefits to accompany academic success than would scholars.
The mean score for scholars on the benefits of academic success
scale was 3.10 (st. dev. = .60) and for athletes was 2.80
(st. dev. = .69). This difference indicates that scholars
expect higher benefits for academic success than do athletes.
Further, a t-test of the difference is significant (t = 2.47,
one-tailed p = .008).

We
further predicted that student-athletes would indicate lower
motivation to perform academically than would scholars. The
mean score for scholars on the academic motivation scale was
3.34 (st. dev. = .52) and for student-athletes was 3.02 (st.
dev. = .55). This difference is in the predicted direction,
and a t-test of the difference produces significance (t =
3.16, one-tailed p = .001).

SAS
Findings

The
SAS measured the costs, benefits, and motivation that students
felt towards athletic success. 252 students completed the
SAS, 124 scholar and 23 athletes. We predicted that student-athletes
would perceive fewer costs associated with athletic success
than would scholars. Student-athletes had a mean score on
the costs of athletic success scale of 1.97 (st. dev. = .61),
while scholars had a mean score of 1.88 (st. dev. = .52).
This slight difference is actually in the opposite direction
of that predicted by our hypothesis, but a t-test of the difference
does not produce significance (t = .722, two-tailed p = .472).

We
also predicted that student-athletes would perceive greater
benefits to accompany athletic success than would scholars.
The mean score on the benefits of athletic success scale for
student-athletes was 2.43 (st. dev. = .60) and for scholars
was 2.20 (st. dev. = .93). This difference is in the predicted
direction, but a t-test of the difference is not significant
(t = 1.11, one-tailed p = .135).

We
also predicted higher motivation towards athletic performance
for student-athletes than for scholars. Student-athletes had
a mean score on the athletic motivation scale of 3.52 (st.
dev. = .45), while scholars had a mean of 3.44 (st. dev. =
.57). This difference, while in the predicted direction, is
not significant (t = .628, one-tailed p = .266).

In
sum, two of the six hypotheses we tested (hypotheses on the
benefits of academic success and on motivation to perform
academically) produced significance. Two hypotheses (on the
costs of academic success and on the benefits of athletic
success) approached significance. The hypotheses on the costs
of athletic success and on athletic motivation did not approach
significance.

DISCUSSION

Results
of our data collection provided partial support for our predictions.
Student-athletes, in comparison to scholars, perceived greater
costs and fewer benefits to accompany a university education.
Further, student-athletes were less motivated to perform academically
than were scholars. These findings support our predictions
and are in line with findings that athletes struggle academically.
Findings on the costs and benefits of athletic success received
less support.

Our
findings provide some support for our argument that athletics
serves to channel a disadvantaged minority away from mainstream
opportunities for success in the United States. If this is
true, then expectations about success in athletics and academics
may differ in countries were athletics does not serve this
purpose. It also may be that respondents in countries with
less rigid racial, economic, and ethnic partitions than the
United States will report smaller differences in their expected
costs for academic and athletic success. A valuable direction
for future research would be to shed light on these issues.

REFERENCES

Adelman,
C. (1990). Light and Shadows on College Athletics. Washington,
DC: U.S. Department of Education.

Agnew,
R. and D.M. Peterson (1989). “Leisure and delinquency.”
Social Problems, 36(4), 332-250.

Burling,
T.A., A.L. Seidner, D. Robbins-Sisco, and A. Krinsky (1992).
“Relapse prevention for homeless veteran substance abusers
via softball team participation.” Journal of Substance
Abuse, 4(4), 407-413.

Center
for the Study of Athletics (1989). Report No. 3: The Experiences
of Black Intercollegiate Athletes at NCAA Division I institutions.
Palo Alto, CA: American Institute for Research.

Dudley,
B.S., D.W. Johnson, and R.T. Johnson. (1997). “Using
cooperative learning to enhance the academic and social experiences
of freshman student athletes.” The Journal of Social
Psychology, 137(4), 449-459.

Kennedy,
S.R., and K.M. Dimick. (1987). “Career maturity and professional
sports expectations of college football and basketball players.”
Journal of College Student Personnel, 28, 293-297.

Lapchick,
R. (1991). Five Minutes to Midnight: Race and Sports in the
1990’s. Lanham, MD: Madison Books.

Lapchick,
R.E. (1995). “Race and college sport: A long way to go.”
Race and Class, 36(4), 87-94.

National
Collegiate Athletic Association (NCAA). (1995). 1995 Division
I Graduation-Rates Report. Overland Park, KS: Author.

Contact
information:

Jeffrey
W. Lucas
Assistant Professor, Department of Sociology
The University of Akron
Akron, OH 44325-1905
(330) 972-6915
jlucas2@uakron.edu

2013-11-26T21:37:01-06:00February 15th, 2008|Contemporary Sports Issues, Sports Facilities, Sports Management|Comments Off on Athletes’ Expectations for Success in Athletics Compared to Academic Competition

Analysis of Perceived Leadership Styles & Levels of Satisfaction of Selected Junior College Athletic Directors and Head Coaches

Athletics and the administration of athletics at the collegiate level are undergoing a continual metamorphosis. No longer is athletics seen as just fun and games for the entertainment of fans. Nor can it be considered only big business, making large amounts of money for the sponsoring institution. It has become a combination of the two, entertainment and business, all within the structure and mission of higher education. Out of necessity, this metamorphosis is also evident in those who manage these programs. The essence of this change has been captured in the following statement:

The athletic director of the coming decades will be asked to meld the demands of business with the constraints of politics, all within the unique parameters of academia. It is a far cry from what it was only 20 years ago, when many schools simply ceded control of the department to the most powerful coach on campus. Or even 10 years ago when the AD with a knack for managing coaches could get by on a superficial understanding of business principles, so long as he surrounded himself with a few bean counters. (King, 2000, p. 35)

As this change continues, leadership ability will continue to increase in importance as a determinant of success for the athletic administrator. Previously, leadership ability was assumed because of athletic success (Linam, 1999). Today, those in administrative positions are receiving much more training and formal education in the business of sport than they would have in former times. Part of this education includes instruction in the nuances of leadership. Leadership has been defined by Roach and Behling (as cited in Watkins & Rikard, 1991, p. 46) as “the process of influencing the activities of an organized group toward goal achievement.” Placing this definition in the context of intercollegiate athletics, one can see its application to the athletic director: The AD would influence the activities of an organized group, the athletic department, toward the goals of athletic success and economic viability, all within the unique atmosphere of academia.

There are numerous labels given the many different ways this influencing process is played out. Two such labels are transactional leadership and transformational leadership, which have been identified as points on a continuum of leadership behavior (Bass, 1985). Field and Herold (1997) described transactional leadership as a reward-driven behavior, the follower behaving in such a manner as to elicit rewards or support from the leader. Transformational leadership has been described as behavior that transcends the need for rewards and appeals to the followers’ higher-order needs, inspiring them to act in the best interest of the organization rather than in their own self-interest (Bass, 1998).

Prominent leadership researchers (Avolio, Bass, & Jung, 1999) feel that transformational leadership is key to the continued success of organizations, because transformational leadership promotes team cohesion, organizational commitment, and higher levels of job satisfaction. Many times intercollegiate athletic departments, especially those outside the realm of Division I, are understaffed, with individuals performing multiple tasks. In these instances it would seem reasonable to think that leadership behaviors that inspire department members to act in the best interest of the organization would be essential for success.

NCAA Division I athletics, with its high-visibility programs and emphasis on the business aspect of intercollegiate sport, is an inviting subject for research. NCAA Division III, with its emphasis on the academic success of its athletes, provides an excellent alternative for a researcher. However, junior college athletics is a forgotten portion of intercollegiate athletics. By its very nature, junior college athletics can offer neither of these divergent points of view. Therefore, little research has been conducted in this realm of intercollegiate athletics.

Athletic directors at the junior college level face many of the same issues as their counterparts at four-year institutions, albeit at a much more anonymous level. These individuals need to be concerned about their leadership abilities and the levels of satisfaction of their subordinates, just like those at higher echelons of competition. It is hoped that this study will help to fill the void in the current research at this level of athletic administration and provide these sport professionals with insight into how to better lead their organizations.

Methodology and Findings

This study examined the perceived leadership styles of selected athletic directors and the levels of satisfaction of selected head coaches serving National Junior College Athletic Association (NJCAA) member colleges from Regions III and XV. These institutions (n=50) are located in the states of New York and Vermont. Leadership data was collected using the latest version of the Multifactor Leadership Questionnaire (MLQ form 5X) (Avolio, Bass, & Jung, 1995). The MLQ was chosen because of its extensive use in leadership research, as it has been used in nearly 200 research programs, doctoral dissertations, and master’s theses around the globe (Avolio, Bass, & Jung, 1995, p. 6). A demographic survey, constructed by the researcher and validated by a panel of experts, was used to gather information regarding the age, gender, educational background, and levels of experience of the athletic directors and head coaches.

The subjects in this study were the intercollegiate ADs (n=50) and head coaches (n= 345) of the NJCAA colleges in Regions III and XV (n=50), representing 2 of the 24 regions that NJCAA covers. Each athletic director was mailed a packet containing a cover letter, a copy of the “leader” version of the MLQ form 5X, the “athletic director” version of the demographic survey, and a self-addressed stamped envelope. Each head coach received a similar packet containing the same cover letter, a copy of the “rater” version of the MLQ form 5X, the “head coach” version of the demographic survey, and a self-addressed stamped envelope.

These packets were mailed to each individual on 16 October 2000, with a request to return the completed MLQ form 5X and demographic survey by 1 November 2000. Follow-up was done according to the procedures suggested by Dillman (1978) in his work concerning survey sampling. This involved mailing a follow-up postcard a week after the original mailing. The postcard served as a thank you to the respondents and as a gentle reminder to those who had not yet responded. Three weeks after the original mailing, a second packet with a new cover letter and replacement copies of the appropriate MLQ form 5X and demographic survey was mailed to non-respondents only. Seven weeks after the original mailing, a final request for responses was mailed to non-respondents. It contained a cover letter very similar to the preceding letter, with replacement MLQ form 5Xs and demographic surveys. This packet was sent by certified mail to ensure delivery to the appropriate individual and to stress the importance of a reply (Dillman, 1978). Data collection ceased on 15 December 2000 and analysis began. Thirty-four athletic directors (68%) and 142 coaches (41%) responded and were considered in the study.

Findings

Descriptive statistics were generated for the athletic directors and the coaches both from the demographic data and from information gathered by the MLQ form 5X. Frequencies for age, gender, highest degree earned, and total years of experience were determined for coaches and for athletic directors. An additional variable, employment status, was determined for coaches.

Perceived leadership styles and levels of satisfaction were determined from the MLQ form 5X data. The mean scores for the transactional, transformational, and laissez-faire components were determined for each group (coaches and athletic directors). If the individual score fell above the mean for that component, that leadership style was considered dominant. If more than one component fell above the mean, the individual was determined to have a combined leadership style. A similar procedure was used to determine levels of satisfaction. If the individual’s satisfaction score was above the mean, the individual was considered satisfied; scores falling below the mean indicated lack of satisfaction.

Chi-square analyses for independence were used to measure 10 associations. First was the association between the perceived leadership styles of selected junior college athletic directors and the levels of satisfaction of head coaches reporting to them. Second was the association between perceived leadership styles of selected junior college athletic directors and the directors’ gender. Third was the association between perceived leadership styles of selected junior college athletic directors and the directors’ ages. Fourth was the association between perceived leadership styles of selected junior college athletic directors and their levels of education. The fifth association measured was that between perceived leadership styles of selected junior college athletic directors and their years of experience. The sixth association measured was that between gender of the selected junior college athletic directors and the levels of satisfaction of head coaches reporting to them. Seventh was the association between the age of selected junior college athletic directors and the levels of satisfaction of head coaches reporting to them. Eighth was the association between levels of education of selected junior college athletic directors and the levels of satisfaction of the head coaches reporting to them. Ninth was the association between years of experience offered by selected junior college athletic directors and the levels of satisfaction of head coaches reporting to them. Tenth was the association between levels of satisfaction and employment status of junior college head coaches. For each chi-square analysis, a Yates correction was automatically performed. Yates correction is a statistical technique that enhances the robustness of the chi-square in those instances in which the cells have counts below five.

An athletic director in the present study was most likely to report perceiving his or her personal leadership style as transformational, rather than another style; the proportion of ADs who reported a perceived transformational leadership style was 26.5%, and the rate rose to 50% when including the ADs who reported a perceived style combining transformational leadership with other styles. Similarly, head coaches in the study tended to perceive those ADs to whom they reported as having predominately transformational leadership styles. The head coaches perceived 28.9% of the ADs to whom they reported to exhibit a transformational style of leadership; the rate rose to 62.7% when including ADs whom the coaches perceived as combining transformational leadership with other styles.

Using a chi-square analysis for independence, no statistically significant association (p< .05) was found between the ADs’ perceptions of their leadership styles and (a) their perceptions of the levels of satisfaction their leadership provided (p = .183), (b) their gender (p=. 299), (c) their age (p=. 253), (d) their levels of education (p=. 482), or (e) their years of experience (p=. 583). Additionally, no statistically significant association (p< .05) was found between the ADs’ gender (p=. 971), age (p=. 057), levels of education (p=. 581), or years of experience (p=. 353) and the levels of satisfaction perceived by head coaches reporting to them. Finally, no statistically significant association (p< .05) was found between the perceived levels of satisfaction of junior college head coaches and their employment status (p=. 127). However, a chi-square analysis for independence did indicate a statistically significant association (p< .05) between a head coach’s perception of the leadership style of his or her AD and that coach’s perception concerning level of satisfaction provided by the AD’s leadership (p = <0.01).

Conclusions

As is evidenced by the breadth of research on the topic, leadership is a very complex phenomenon. It can be argued that leader behavior is impacted by the traits and skills of the leader, the traits and behaviors of the followers, the complexity of the situation, and numerous other variables, some of which may be currently unidentified. One of the prominent theories used to explain effective leadership is that of the transactional-transformational leadership continuum. Transformational leadership focuses on inspiring followers to set aside self-interest and seek the betterment of the organization; in contrast, transactional leadership focuses largely on the effort-reward exchange between followers and leader. In athletics in general, and in junior college athletics specifically, transformational leadership is essential for success. As budgets and human resources diminish and the need to do more with less increases, leadership able to transform and inspire individuals to act in organizations’ best interests will be vital.

Soucie (1994) states that leadership is perhaps the most important skill the sport administrator should possess. Sport administrators, or athletic directors, are perceived to be the causal agents in the success or failure of their organizations. Therefore, the leadership they provide determines the level of success of the organization and even the organizational culture itself, which includes among other things subordinates’ perceived levels of satisfaction.

The findings of this study resemble those of other studies (Doherty & Danylchuk, 1996; Wallace & Weese, 1995) that examined the relationship between leader behavior within the transactional-transformational paradigm and organizational factors such as levels of satisfaction. In the earlier studies, transformational leadership behaviors were found to be positively associated with high levels of satisfaction. While the current study did not examine exclusively the relationship between transformational leadership behavior and levels of satisfaction, the study results do indicate that (a) the head coaches perceived their ADs to have predominately transformational leadership styles, (b) most coaches perceived their ADs’ leadership to be satisfying, and (c) there was a highly significant association between the perception of AD leadership style and perceived levels of satisfaction.

The results of the current study indicate that other variables did not have a statistically significant association (p< .05) with perceived levels of satisfaction. This finding should not be a surprise, given the nature of coaches. Wallace and Weese (1995) noted that YMCA employees are altruistic individuals, working toward the common goal of providing excellent service for their clients. Coaches, while they may not be every bit as altruistic as YMCA employees, tend to be practical individuals. Variables such as the age and gender of the AD or education or experience of the AD are unlikely to make much impact on a coach’s perceived satisfaction. If a coach is provided the resources and support needed to produce an excellent program, that coach will be satisfied. It is quite possible that if the variables of funding, other resources, and institutional support were to be examined, more significant associations might be found.

In conclusion, leadership research will continue to be a priority in the sport setting, as it is in other organizations. Currently, the conclusions reached are unclear or, oftentimes, contradictory. However, as the research continues, we will begin to gain a clearer understanding of the role of leadership and its impact on subordinates in the sport enterprise. Perhaps Soucie (1994) put it best, when he said that there are no absolute truths about effective leadership, but those of us privileged to serve in a formal leadership role within an athletic enterprise know that the rewards are plenty (p. 11). We owe both those whom we lead, and ourselves, a continued examination of this complex and amazing phenomenon we call leadership.

References

Avolio, B.J., Bass, B.M., & Jung, D.I. (1999). Re-examining the components of transformational and transactional leadership using the Multifactor Leadership Questionnaire. Journal of Occupational and Organizational Psychology, 72, 441-463.

Bass, B.M. (1985). Leadership and performance beyond expectations. New York: Free Press.

Bass, B.M. (1998). Transformational leadership: Industry, military, and educational impact. Mahwah, NJ: Lawrence Erlbaum Associates.

Doherty, A.J. & Danylchuk, K.E. (1996) Transformational and transactional leadership in interuniversity athletics management. Journal of Sport Management, 10, 292-309.

Dillman, D.A. (1978). Mail and telephone surveys: The total design method. New York: John Wiley & sons.

Field, D.L. & Herold, D.M. (1997). Using the Leadership Practices Inventory to measure transformational and transactional leadership. Educational and Psychological Measurement, 57, 569-580.

King, B. (2000, June 12-18). Unearthing the AD of the future. Street & Smith’s SportsBusiness Journal, 3(9), 25, 35.

Linam, K. (1999). Leadership styles of collegiate athletic directors and head coaches’ satisfaction. Unpublished doctoral dissertation, United States Sports Academy, Daphne, AL.

Soucie, D. (1994). Effective managerial leadership in sport organizations. Journal of Sport Management, 8, 1-13.

Wallace, M. & Weese, W.J. (1995). Leadership, organizational culture, and job satisfaction in Canadian YMCA organizations. Journal of Sport Management, 9, 182-193.

Watkins, D.L. & Rikard, G.L. (1991). Perceptions of leader behaviors of athletic directors: Implications for change. Physical Educator, 48,(1), 2-6.

2017-08-07T11:59:40-05:00February 15th, 2008|Contemporary Sports Issues, Sports Facilities, Sports Management|Comments Off on Analysis of Perceived Leadership Styles & Levels of Satisfaction of Selected Junior College Athletic Directors and Head Coaches

Student Fundraising at Beijing University of Physical Education – A Practical Experience for Chinese Sports Management Students

Abstract

With the dramatic economic changes taking place in China there is a move to promote sports and the sports industry through individual and corporate support. Curriculum must be established on the university level to accommodate these needs. The purpose of this research was to investigate the interest in a sport event fundraising program by undergraduate and graduate students at Beijing University of Physical Education (BUPE), Beijing, China. Results indicate an interest in initiating fundraising events at the respective institutions. Students require education on potential careers in sports marketing and fundraising in order to enhance their potential success in the field.

Introduction

Sport administrators and marketers with skills to organize and administer clubs and sport events could lay the basis for future community sport structures in China (Boshoff, 1997). An important part of this effort would include education. There is a diversity of opportunities for the sport fundraiser in international sport. Because technology will continue to improve and trade barriers between countries will continue to decline, the opportunities in international sport will increase. To capitalize on these opportunities, the sport management student must become knowledgeable and sensitive to cultures of other countries.

Overview of History of Sports Industry in China

Like other enterprises, the sports industry has benefited from government directed initiatives. Unfortunately, financial support has decreased in recent years forcing people who work in sports related businesses to seek new fundraising opportunities. There were two methods of management that appeared during this era, one was to encourage the sport units with incentives to diversify management. The other was to draw funds from society, to find sponsorship for sports activities and high level sports teams. Therefore, many excellent sport teams were formed with corporate ties.

In addition to the fact that China’s sport industry is in its infancy, there are many unique problems within the sports industry in China. One example is the imbalance in industry development, which is geographic-based. The sports industry has developed in metropolitan cities including Shanghai and Beijing whereas sports marketing initiatives in western and rural-China have not yet been formed. Another example is that domestic sports enterprises are relatively small and cannot compete with the larger and established foreign sports corporations (Bao Mingxiao, personal communication, October 15, 1999).

“The concept of sport marketing is new in China and the size of the Chinese sport market is enormous. China has 22% of the world’s population; even if a portion of China became spenders on sport, it would increase consumers in the global marketplace by millions” (Hong, 1997).

An urgent call for promotion and development of sports commercial markets during the 1993 Chinese Sports Ministry Conference was therefore recognized. The Minister of Sport, Wu Shaozhu, claimed that the Chinese sports system must reform without delay.

The strategy of reform is to commercialize sport and to integrate sport into people’s daily life. This includes people paying for sport and exercise, privately sponsored sport, the club system, and promotion of sport commercial market (Hong, 1997). Two specific goals of the conference were to extend sport science, technology, and research, and to reform sport training systems along market lines. The administrative structure of the Chinese Sports Ministry suggests a commitment to Sport Administration education as it includes a department of Sports Education (Hong, 1997). Hong (1997) has reported an extensive review of the history of Sport Education in China.

When sports administration education in China started in 1988, there were only two schools (Beijing University of Physical Education and WuHan Institute of Physical Education) that implemented an undergraduate major in this area. Today there are six schools that provide sports administration education. This is where most of the sports administration courses are housed. There are no uniform curriculums as each school has different courses such as Sports Science, Sports Management, Sports Marketing, Statistics, Administration, Operational Research, Computer, Sports Conspectus, Sports Administrative Psychology, Sports Information, Communication, Knowledge and Basic Skill of Sports and Foreign Language (Yang Ping, personal communication, October 15, 1999). As seen there are no programs that utilize sports fundraising opportunities as part of the curriculum or the mere offering of a fundraising course.

Methods 

In May-July 2000 a 15-item questionnaire that investigated event management and fundraising topics was administered to undergraduate and graduate students from Beijing

University of Physical Education. Due to the investigative nature of the study, the investigators designed the questionnaire from their knowledge base in international sports marketing. Administrative Personnel at BUPE approved the questionnaire and participation was voluntary.

Facility Description

Beijing University of Physical Education was opened on Nov. 1st 1953 as a College of Physical Education located in the north part of Beijing. In 1956, the name of the institution was changed to Institute of Beijing Physical Education. It was changed to the present name in order to more accurately reflect its expanding role as the leader in teaching, research, and public service for the development of the national and global sports. One vital aspect of these efforts is to understand and educate the students and the public in the science and benefits of human movement. Now it has emerged as one of the key universities in China. This university offers programs from baccalaureate through the doctorate for more than 3,000 full-time students in 5 academic areas: Department of Physical Education, Department of Traditional Folk Sport, Department of Exercise Physiology, and College of Sport Management. There are about 400 faculty. Among them, two hundred are professors and associate professors, and about 200 are assistant professors and lecturers (Zhongyi Yuan, personal communication, August 31, 2000).

Results

Demographic Information

Demographic information on respondents is listed in Table 1.

Table 1. Graduate Status, Age, and Gender of Students from Beijing University of Physical Education, Beijing China

Frequency (n)
Percentage (%)
Graduate Status
under-graduate
14
24.56
graduate
43
75.44
Age
<20-24
52
91.23
25-30
4
7.02
>31
1
1.75
Gender
male
36
36.84
female
21
63.16

 

*10RMB approximates $1.25 US
**numerical value not provided, response stated that “a proper or an acceptable price” should be charged.

 

There were a total of 57 respondents (36M, 21F) to the questionnaire, 25% (n=14) undergraduate and 75% (n=43) graduate students. The majority (91%; n=52) of respondents were 18-24 years old, 7% (n=4) were 25-30, and 2% (n=1) were over 31. The majority (81%, n=46) of respondents were majoring in sport management, although other sport-related disciplines (sport biomedicine n=1, social sport n=3, sport training n=1, sport education n=1, sport psychology n=2, sport anatomy n=1, sport dance n=1, Chinese traditional medicine n=1) were represented (Table 2).

Table 2. Course of Study of Students from Beijing University of Physical Education, Beijing China

Course of Study
Frequency (n)
Percentage (%)
Sport Management
46
80.70
Sport Psychology
2
3.51
Sport Dance
1
1.75
Sport Training
1
1.75
Sport Education
1
1.75
Social Sport
3
5.26
Sport Anatomy
1
1.75
Chinese Traditional Medicine
1
1.75
Sport Biomedicine
1
1.75
Total
57
100

Event Management and Fundraising Topics Enthusiasm

Forty Six percent (n=26) of respondents had not taken coursework that addressed event management and fundraising topics. However, this did not deter their enthusiasm for such topics, as 72% (n=41) were interested in assisting in event management for sponsoring collegiate sport competitions, 58% (n=33) would be willing to work throughout the year to plan an event, and 25% (n=14) would be willing to enroll in a US-college sponsored internet course to help prepare students for sponsorship of an exhibition at their respective university. It is noted that forty-three respondents did not respond to the internet course question as they currently do not have access to the internet.

US Sports Interest

Eighty-six percent (n=49) of respondents reported that sponsoring a US collegiate sports team would be well received by students at their respective university. Respondents indicated that the sporting events that would receive the most attendance include men’s basketball (67%), baseball (42%), soccer (40%), and tennis (39%). Other sporting events, including track and field, and bowling only received 32% interest combined. Please note that respondents could choose various combinations of sporting events. The most effective methods for advertisement of an exhibition included television (77%), on the internet (68%), and by newspaper (49%). Please note that respondents could choose various combinations advertising and marketing.

Event Fundraising and Sport Management

The majority (72%; n=41) of respondents reported that spectators should be charged a fee to view a US sport exhibition. In regard to cost for attendance, there was a wide price range (3 to 100 RMB; 10 RMB approximates $1.25 US) that respondents reported as a reasonable charge; the highest frequency response (11%; n=6) was 10 RMB (Table 3). However, 32 respondents (56% of total) did not provide a numerical value, stating that “a proper or an acceptable price” should be charged. Respondents reported favorably (77%; n=44) that spectators would buy shirts, hats, and other memorabilia and food and soft drinks (70%; n=40) during the event.

Table 3. Respondent Report on Cost of Viewing a US-Sport Exhibition

Cost (China RMB)*
Frequency (n)
Percentage (%)
3
1
1.75
5
4
7.02
8
1
1.75
10
6
10.53
15
1
1.75
20
3
5.26
30
1
1.75
50
1
1.75
100
1
1.75
>100
3
5.26
Missing**
35
61.40
Total
57
100

Discussion

It is evident from the survey responses that there is an interest in implementing a fundraising event at Chinese Universities by Chinese sports management students. The majority of students participating in this study were male graduate students. In addition, most were sports management majors with some biomedicine majors. The majority of the students have not had any formal training or practical experience in fundraising or implementing an event. The students were interested in hosting a US athletic team for the purpose of gaining practical experience in fundraising and event management. Men’s basketball was seen as the team that would provide the greatest interest for students and the general public. Students determined that television, internet, and the newspaper would be the most effective means of advertising such an event. The student respondents indicated that spectators should be charged a fee for the event and that 5 to 10 RMB would be the most affordable price. Many of the respondents did not answer this question due to a lack of understanding of the event management process. Most indicated that memorabilia and food/soft drinks should be made available. The student’s interest in the aforementioned areas has been affected by the shift in economic policies and the open trade agreement. Chinese students now see the opportunity for economic gain through sports as seen on television and the web.
Most Chinese students are interested in pursuing an internet course in sport fundraising due to the global perspective that is being stressed by the Chinese government. In addition, young students have seen the fast development of sports in China along with increases in international exchange of sports activities therefore the interest in the field has obviously increased. The high interest in an international sport fundraising curriculum may reflect strategies being implemented by the Chinese Sports Ministry. In June of 1993, a conference titled “The Urgent Promotion and Development of Sports Business” addressed administrative restructuring of Chinese sport (Hong, 1997). This information may be a factor in the high interest of undergraduate and graduate Chinese sports management students towards sport fundraising education. Student interest in fundraising has also increased from proliferation of sporting events on Chinese television and the internet. The internet has increased and thus a wealth of information on sports is at students’ fingertips.

Summary

Curriculum in international sport fundraising adheres to the structure established by the Chinese Education Ministry in regard to the number of hours of credit. Education of Chinese undergraduate and graduate sports management students in the aforementioned academic discipline will serve as a base for overall understanding of the unique nature of sports fundraising. Practical experience gained from hosting an American Collegiate team will further strengthen the understanding of the fundraising process by Chinese students.

Due to the small sample size of this study, results should be interpreted with caution. However, the findings deserve reflection and consideration because it was found that Chinese undergraduate and graduate students have expressed interest in gaining practical experience in the area of fundraising by implementing an event at their respective institutions. A curriculum to fit the needs of both entities could be met and further enhanced by offering an international sports fundraising course over the internet and by offering practical experiences to the Chinese students by affording them the opportunity to host events. Further studies should increase sample size and include representation of many more colleges and universities in China.

Reference

Bao Mingxiao (personal communication, October 15, 1999).
Boshoff, Gary. “Barefoot” Sports Administrators: Laying the Foundation for Sports Development in South Africa. Journal of Sport Management, 1997:11 (1), 69-79.

Hong, Fan. Commercialism and Sport in China: Present Situation and Future Expectations. Journal of Sport Management. 1997:11 (4): 343-354.

Yang Ping (personal communication, October 15, 1999)

Zhongyi Yuan (personal communication, August 31, 2000)

Author’s Note:

Address correspondence to Dr. Overton, Laughlin Building 217D, Morehead State University, Morehead, KY 40351, phone 606-783-2176, FAX 606-783-5058,
e mail r.overton@morehead-st.edu

Reginald F. Overton, EdD, Assistant Professor of Health, Physical Education, and Recreation, Morehead State University
Brenda Malinauskas-Overton, PhD, Assistant Professor of Sports Nutrition, Morehead State University
Zhongyi Yuan, Associate Professor, Beijing University of Physical Education

2017-08-07T15:09:50-05:00February 14th, 2008|Sports Facilities, Sports Management|Comments Off on Student Fundraising at Beijing University of Physical Education – A Practical Experience for Chinese Sports Management Students

Upon Further Review: An Examination of Sporting Event Economic Impact Studies

As pointed out by Soonhwan Lee (2001) in a recent issue of The Sport Journal, there exists a great deal of debate about the validity of economic impact studies of sporting events. Economists widely believe that studies sponsored by leagues and events exaggerate the economic impact that professional franchises and large sporting events make on local communities. Such overstatement results from several factors.

First, the studies often ignore the substitution effect. To the extent that attendees at a sporting event spend their money on that event instead of on other activities in the local economy, the sporting event simply results in reallocation of expenditures in the economy, rather than in real net increases in economic activity. Next, the studies usually ignore the crowd out effect. Many large sporting events are staged in communities that are already popular destinations for tourists. If hotels and restaurants in a host city normally tend to be at or near capacity during the period in which a competition takes place, that contest may simply supplant, not supplement, the regular tourist economy. Third, the studies may fail to address whether money spent at a sporting event stays within the local economy. Much of the money spent by out-of-town visitors pays for hotel rooms, rental cars, and restaurants. To the extent that hotels, car rental agencies, and restaurants are national chains, their profits associated with a sporting event do not further the welfare of the local citizens, but rather accrue to stockholders around the country. Similarly, revenue from ticket sales is often paid to a league or to a sport’s ruling body instead of local organizers. Fourth, sporting events’ non-economic costs—traffic congestion, vandalism, environmental degradation, disruption of residents’ lifestyle, and so on—are rarely reported (Lee, 2001). Finally, since economic impact studies are often used by sports boosters to justify public expenditures on sports infrastructure, the ultimate question for anyone reading such studies is whether analysis conducted by agents with a vested interest in the research outcome can ever be considered an objective examination of events’ true economic impacts.

Empirical Analyses of Economic Impact Statements

It is one thing to point out bias that could potentially be introduced in impact studies. It is another thing altogether to examine whether actual economic impact studies are, in practice, truly flawed. One tool that can be used to determine the accuracy of economic impact studies is ex post comparisons of predicted economic gains to actual economic performance of cities hosting sporting events. Empirical studies have been conducted on the observed economic impacts of large sporting events as well as on the construction of new sport facilities.

On the sport facility side, numerous researchers have examined the relationship between new facilities and economic growth in metropolitan areas (Baade & Dye, 1990; Rosentraub, 1994; Baade, 1996; Noll & Zimbalist, 1997; Coates & Humphreys, 1999). In every case, independent analysis of economic impacts made by newly built stadiums and arenas has uniformly found no statistically significant positive correlation between sport facility construction and economic development (Siegfried & Zimbalist, 2000). This stands in stark contrast to the claims of teams and leagues, who assert that the large economic benefits of professional franchises merit considerable public expenditures on stadiums and arenas.

On the events side, nearly every national or international sporting event elicits claims of huge benefits accruing to the host city. For example, the National Football League typically claims an economic impact from the Super Bowl of around $400 million (National Football League, 1999), Major League Baseball attaches a $75 million benefit to the All-Star Game (Selig et al., 1999), and the NCAA Final Four in Men’s Basketball is estimated to generate from $30 million to $110 million (Mensheha, 1998; Anderson, 2001). Multi-day events such as the Olympics or soccer World Cup produce even larger figures. The pre-Olympics estimates for Atlanta’s Games in 1996 suggested the event would generate $5.1 billion in direct and indirect economic activity and 77,000 new jobs in Georgia (Humphreys & Plummer, 1995).

In many cases, variation in the estimates of benefits alone raises questions about the validity of studies. A series of economic impact studies of the NBA All-Star game produced numbers ranging from a $3 million windfall for the 1992 game in Orlando to a $35 million bonanza for the game three years earlier in Houston (Houck, 2000). The ten-fold disparity in the estimated impact of the event in different years serves to illustrate the ad hoc nature of these studies. Similarly, ahead of the 1997 NCAA Women’s Basketball Final Four, an economic impact of $7 million was estimated for the local economy in Cincinnati, while the same event two years later was predicted to produce a $32 million impact on the San Jose economy (Knight Ridder News Service, 1999). Such increases cannot be explained by changes in general price levels or growth in the popularity of the tournament. Instead, they are explained by the fact that economic impact studies are highly subjective and vulnerable to significant error as well as manipulation.

In further cases, the size of an estimate can strain credulity. The Sports Management Research Institute estimated the direct economic benefit of the U. S. Open tennis tournament in Flushing Meadows, NY, to be $420 million for the tri-state area, more than any other sporting or entertainment event in any city in the United States; this sum represents 3% of the total annual direct economic impact of tourism for New York (United States Tennis Association, 2001). It is simply impossible to believe that 1 in 30 tourists to New York City in any given year are visiting the city solely to attend the U. S. Open. Similarly, the projected $6 billion impact of a proposed World Cup in South Africa in 2006 would suggest that soccer games and their ancillary activities would represent over 4% of the entire gross domestic product of the country in that year (South Africa Football Association, 2000).

As in the case of sports facilities, independent work on the economic impact of mega–sporting events has routinely found the effect of these events on host communities to be either insignificant or an order of magnitude less than the figures espoused by the sports promoters. In a study of six Super Bowls dating back to 1979, Porter (1999) found no increase in taxable sales in the host community compared to previous years without the game. Similarly, Baade and Matheson (2000) found that hosting the Super Bowl was associated with an increase in employment in host cities of 537 jobs, for a total impact of approximately $32 million, less than one-tenth the figure trumpeted by the NFL. In a study of 25 Major League Baseball all-star games held between 1973 and 1997, Baade and Matheson (2001) found that, in the case of three all-star games in California (1987, 1989, 1992), the events were correlated with worse-than-expected employment growth in host cities and were furthermore associated with an average reduction in taxable sales of nearly $30 million. Finally, Baade and Matheson’s examination (1999) of the Olympic Games held in Los Angeles in 1984 and Atlanta in 1996 found total observed increases in economic activity of $100 million and of $440 million to $1.7 billion, respectively. While the range of the economic impact for Atlanta exhibits a great deal of uncertainty, even the most favorable figure is only one-third of the amount claimed by the host committee.

Discussion and Recommendation

There are theoretical reasons to believe that economic impact studies of large sporting events may overstate those events’ true impact. In addition, evidence suggests that in practice the ex ante estimates of economic benefits far exceed the ex post observed economic development of communities that host mega–sporting events or stadium construction. The best recommendation is simply for cities to view with extreme caution any economic impact estimates provided by sports franchises, sponsoring leagues, or event-organizing committees.

References

Anderson, T. (2001, January 19). St. Louis ready to raise NCAA flag if Atlanta can’t. St. Louis Business Journal.

Baade, R. A. (1996). Professional sports as a catalyst for metropolitan economic development. Journal of Urban Affairs, 18(1), 1–17.

Baade, R. A., & Dye, R. (1990). The impact of stadiums and professional sports on metropolitan area development. Growth and Change, 21(2), 1–14.

Baade, R. A., & Matheson, V. A. (2000). An assessment of the economic impact of American football, Reflets et Perspectives, 34(2–3), 35–46.

Baade, R. A., & Matheson, V. A. (2001). Home run or wild pitch? Assessing the economic impact of Major League Baseball’s All-Star Game. Journal of Sports Economics, 2(4), 307–327.

Baade, R. A., & Matheson, V. A. (in press). Assessing the economic impact of the summer Olympic Games: The experience of Los Angeles and Atlanta. Proceedings of the 1999 International Conference on the Economic Impact of Sports, Athens, Greece.

Coates, D., & Humphreys, B. (1999). The growth effects of sports franchises, stadia, and arenas. Journal of Policy Analysis and Management, 14(4), 601–624.

Enquirer Sports Coverage. (1999, March 25). Final Four’s financial impact hard to gauge. Retrieved August 30, 2001, from http://www.enquirer.com/editions/1999/02/25/spt_final_fours.html.

Houck, J. (2000, January 21). High-stake courtship. FoxSportsBiz.com. Retrieved September 14, 2000, from http://www.foxsports.com/business/trends/z000120allstar1.sml.

Humphreys, J. M., & Plummer, M. K. (1995). The economic impact on the state of Georgia of hosting the 1996 summer Olympic Games (mimeograph). Athens, GA: University of Georgia, Selig Center for Economic Growth.

Lee, S. (2001). A review of economic impact study on sport events. The Sport Journal, 4(2).

Mensheha, M. (1998, March 27). Home-court edge: Final Four promises to be economic slam dunk. San Antonio Business Journal.

National Football League. (1999). Super Bowl XXXIII generates $396 million for South Florida [Report 58(7)].

Noll, R., & Zimbalist, A. (1997). Economic impact of sports teams and facilities. In Sports, Jobs and Taxes. Washington, D.C.: Brookings Institution.

Porter, P. (1999). Mega–sports events as municipal investments: A critique of impact analysis. In Fizel, J., Gustafson, E., & Hadley, L. (Eds.), Sports economics: Current research. Westport, CT: Praeger.

Rosentraub, M. (1994). Sport and downtown development strategy. Journal of Urban Affairs, 16(3), 228–239.

Seigfried, J., and Zimbalist, A. (2000). Economics of sports facilities and their communities. Journal of Economic Perspectives, 14(3), 95–114.

Selig, B., Harrington, J., & Healey, J. (1999, July 12). New ballpark press briefing. Retrieved August 29, 2000, from http://www.asapsports.com/baseball/1999allstar/071299BS.html.

South Africa Football Association. (2000). World Cup bid details. Retrieved January 9, 2002, from http://www.safa.ord.za/html/bid_det.htm.

United States Tennis Association. (2001). 2000 U.S. Open nets record $420 million in economic benefits for New York. Retrieved January 9, 2002, from http://www.usta.com/pagesup/news12494.html.

2016-10-12T11:40:57-05:00February 14th, 2008|Contemporary Sports Issues, Sports Facilities, Sports Management, Sports Studies and Sports Psychology|Comments Off on Upon Further Review: An Examination of Sporting Event Economic Impact Studies
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