Analysis of the Reasoning Behind the Firings of Mike Leach and Jim Leavitt

ABSTRACT

This paper is a thematic analysis of press coverage surrounding the firings of coaches Mike Leach and Jim Leavitt from the 2010. In an effort to understand
the rationale behind their dismissals, this quantitative research uses attribution theory as the basis of the analysis. While the schools stated the firings were
due to the way these two coaches questionably handled a player, the press coverage displayed other reasons. This paper contextualizes the rationale behind their
firings in an effort to explain the current high stakes of major college football.

INTRODUCTION

There are very few professionals with less job security than major college football coaches. Entering the 2010 season, there were 24 new coaches in the
Division I Football Bowl Subdivision (FBS). That turnover represented 20% of all FBS programs. Two of the 24 coaches who lost their jobs following the 2009
season generated national attention from their relatively regional programs. Both Mike Leach of Texas Tech and Jim Leavitt from South Florida lost their
jobs amid controversy and intensive media coverage centering on their off-field actions with some of their players. Prior to the firings, both coaches were
hailed as successful leaders. Issues surrounding their departures cast doubt upon the official reasons stated by the universities. When perceived reality
contradicts public discourse, there is a tremendous opportunity for public relations scholarship. This paper uses thematic analysis of news coverage to demonstrate
how the meanings the universities tried to construct for these firings were essentially refuted in the sports press.

Relevance of Research

The rationale behind the firings of these coaches, beyond what was publicly stated by their employers, is an important topic for researchers
to analyze for multiple reasons. First, as it relates to the growing field of sport communication, it provides content that focuses on the expansive growth
of the college football industry, the salaries provided to coaches, and the overall investment schools are willing to make to be successful on the football
field. Additionally, this research is an important topic as it relates to the fields of mass media, public relations, and journalism. College football is
at such a prominent level in terms of revenue, advertising, and marketing that it shares an escalating symbiotic relationship with the mass media. This media
coverage helps raise the financial stakes of those schools participating at the highest level of college football. The sport has always had this relationship
but since the inception of the Bowl Championship Series (BCS) in 1998, the monetary rewards have risen exponentially. The BCS is the system that selects 12 schools
that participate in the top six post-season bowl games. Those 12 slots are highly coveted since they bring the most money and media attention to the participating
schools (Dunnavant, 2004). The power of the BCS has escalated to a point where politicians are now questioning its possible violation of anti-trust laws (Staples,
2010). This past bowl season, the six conferences that received an automatic bid to a BCS game garnered $145.2 million in revenue from the BCS. That sum
is compared to the $24.7 million awarded to the five conferences that didn’t receive an automatic BCS bid (Murphy, 2011). The manner in which college football
has become such an integral part of the mass media landscape makes any controversy that occurs in the industry worthy of address by academic researchers (Oriard,
2009).

College Football and Higher Education

The rise in college sports, in terms of revenue and media prominence, creates a public relations conundrum. Under the traditional educational perspective,
still touted in their marketing materials, colleges and universities have the primary mission of educating young people and preparing them for adult life.
For the select few student-athletes competing in the high-visibility sports at the Division I level, athletics is still presented as just another outlet
that prepares them physically and mentally for adulthood. However, the financial investments schools are making in their sports programs put this traditional
model in jeopardy. Now, athletes are more than students; they are necessary participants in the school’s profit motives (Sperber, 2000).

The role of the coach is also different in the evolving collegiate sports model. With the amount of money major colleges invest in football and the turnover
rate for head coaches, it is difficult to argue that winning isn’t the coach’s first priority (Stein, 2004). Because the multi-year contracts top coaches command
typically do not permit termination just for losing, a pretext may be needed to fire a coach. While schools are often forced to fire losing coaches because
of disgruntled fan bases, it remains a difficult financial decision. For an academic institution, it would appear that firing a coach for breaking rules
should be an easy decision to make. However, there are a number of college coaches who blatantly violated university or NCAA rules but still kept their jobs. Having
a rule-breaking coach remain on staff appears to violate the principles of an institution of higher learning. Yet, on the football and basketball sidelines
there remain a number of coaches almost impervious to being fired. There must be an underlying reason some schools are willing to be more lenient with rule-breaking
coaches.

LITERATURE REVIEW

From a theoretical perspective, research into the rationale behind the firings of Leach and Leavitt relates to attribution theory. An expert in attribution
theory, Bernard Weiner (1985), often wrote about the human characteristic in which people have a driving need to search for the cause of events. This theory
relates to the persuasive messages used to explain how people account for the actions of others (Woodward & Denton, 2009). Attribution theory is storytelling
and the belief that a persuader tries to figure out how certain behaviors or messages will be perceived by others. The resulting story communicated by persuaders
best suits their needs and goals (Coombs, 2007). Attribution theory relates to public relations and crises communication since responses made by an organization
during the time of crisis will frame the public perception and impact its overall reputation (Heath, Toth & Waymer, 2009). After researching the influence
Word of Mouth Communication (WMOC) has on brand recognition, Laczniak; DeCarlo and Ramaswami (2001) concluded that poor WMOC significantly devalues the public’s
perception of the brand.

Even though there is a relationship between attribution theory and crisis communications, scholarly analysis connecting the theory to sports-related issues is almost
non-existent. In fact, there is almost no academic research into the broad topic of sports coaches being fired. Most of the literature deals with the impact,
in terms of wins and losses when a coach is dismissed during the season (Koning, 2003; Frick, Barros & Prinz 2010; White, Persad & Gee, 2007). One case
addressed by a scholar was the dismissal of basketball coach Jim Valvano by North Carolina State University in 1990. Michael Selvaggi (1993) used legal
analysis to examine the lawsuit filed by the university asserting that it had proper grounds to fire Valvano because of the poor academic progress of his
players. This research determined that this was the first time a school had fired a coach because of a stipulation in his contract regarding players’
academic progress.

Legal scholar Martin J. Greenberg (1991) noted that there is no other business in which contracts are broken more often than the sports industry. Since there
is so much at stake in terms of revenue and publicity, colleges and universities are in a precarious situation when administering punishment for coaches and
players who break rules. Keeping a coach or player out of action because of a violation could endanger a school’s chance of winning a game. That in
turn would lead to economic ramifications (Stangel, 2000).

Based on the cases of Leach and Leavitt and the possibility that they were both fired for other reasons than stated by their employers, this paper will
look to connect attribution theory to each controversy. Based on the research of Laczniak; DeCarlo and Ramaswami (2001), these controversial cases impacted
the overall brand value for both Texas Tech and South Florida. The following research questions will be used to better rationalize the firings of Leach and
Leavitt.

RQ1: Were there other reasons for the firings of Leach and Leavitt besides the rationale provided by their employers?

RQ2: How do the cases of Leach and Leavitt compare to other BCS coaches who kept their jobs after violating NCAA rules during the same time frame?

METHOD

This qualitative research paper is a case study of the firings of both Leach and Leavitt in an effort to better explain the reasoning behind their dismissals.
A case study is expected to “catch the complexity of a single case” by “coming to understand its activity within important circumstances”
(Patton, 2002, p. 297). By using thematic analysis of press accounts, this paper will argue that the universities reasons for the firings of Leach and Leavitt
were not entirely supported by the media reports.

Since college football is still predominantly a regional sport, as noted by Cave and Crandall (2001), this research paper relies heavily upon the relevant
local media outlets that cover Texas Tech and South Florida football in-depth. Those outlets include the Dallas Morning News, Lubbock Avalanche-Journal, and
Tampa Tribune. In order to present a national perspective to this analysis, stories from noted publications such as ESPN.com, USA Today, Sports Illustrated
and The New York Times were also used. These media outlets in particular cover college football in depth and often include critical coverage of off-the-field
issues. Also, these media outlets are highly regarded as the premier sources of national sports journalism.

The research obtained for this paper was a result of a thorough LexisNexis search using the terms Mike Leach, Jim Leavitt, Texas Tech football, and South
Florida football. Due to the fact that both coaches received little national media attention for their programs prior to the 2008 season, the search was
limited to the time frame from 2008 to early 2010. This allowed for the collection of press accounts that detailed the rise of both coaches and then the ensuing
fallout from their crises that occurred in early 2010.

The resulting press accounts served as the data for a thematic analysis of the crises surrounding Leach and Leavitt. This method of collecting data enables
researchers to combine and catalogue related patterns into sub-themes (Aronson, 1994). This method enables researchers to search through data to identify any
recurrent patterns. Themes are then linked together to find similar meetings and patterns. Anne Golden (2003) also utilized a thematic analysis of the sports
media when she examined the differences in the press coverage of the 2002 Winter Olympics and the 2002 Winter Paralympics. Relating to the method used for this
research, Mirca Madianou (2002) conducted a thematic analysis of television news coverage to investigate the coverage of how Greeks are identified in the
media.

To contextualize possible motives underlying the schools’ decision-making, this paper will also compare the cases of Leach and Leavitt to four other contemporary
coaches who broke rules (during the same time frame as the incidents surrounding Leach and Leavitt) established by their employers and the National Collegiate
Athletic Association (NCAA). The four coaches examined in this research: Pete Carroll, Jim Tressel, Urban Meyer, and Nick Saban are universally regarded by
the sports media as the top college coaches in the country. Through the use of media reports, this element of the thematic analysis will exhibit the reasons
that these other rule-breaking coaches were able to maintain their employment during the time frame of the study.

CASE STUDIES

Mike Leach

Mike Leach was the Texas Tech head football coach from 2000 to 2009. His Red Raiders went 84-34 with nine bowl game appearances (5-4) because of their pass-centric
offense that featured the 11 offensive players on the field lining up further apart from each other than what was commonly used by other coaches. Leach’s
success culminated with the 2008 campaign which brought the school its first ever 11-1 season that included a win over top-ranked Texas and a share of the
Big 12 Conference South division title. He was named Co-Coach of the Year in the Big 12, but the Red Raiders were left out of a BCS bowl berth because of
a little known tie-breaking rule. Texas and Oklahoma represented the Big 12 in the BCS while Texas Tech played in the lesser Cotton Bowl, where it lost
to Mississippi.

Oklahoma wound up losing the National Championship Bowl against Florida. Not making a BCS bowl game is a major issue since the Big 12, like the Big East
where South Florida resides, gives a bigger share of the game’s profit to the schools that appear in one of the top post-season games. Other conferences
divide BCS bowl money evenly among all members. This is not the case for the Big 12 and Big East. Therefore, there is a tremendous financial incentive to
be a conference representative in a BCS bowl game for a Big 12 and Big East squad (Warmbroad, 2004).

During his career in Lubbock, Leach’s name was often mentioned with coaching vacancies at other larger programs. Leach stayed with the Red Raiders as he
received a pair of contract extensions. In 2008, he signed a five-year extension worth $12.7 million. This contract gave Leach unprecedented clout at the school
(Leach, 2009).

Crisis: Leach places player in shed

Leach’s crisis began in late December 2009 when Texas Tech suspended him after allegations arose that earlier in the month he had an injured player
sent to an equipment shed as a form of punishment. The player, Adam James, the son of ESPN announcer and former NFL running back Craig James, had suffered
a concussion and was unable to practice. This unconventional move by Leach became a newsworthy topic both locally in Texas and nationally (Dodd, 2009). The ensuing
media hype continued to rise when Leach refused to apologize for his actions and James became the spotlight of local and national sports media (Lubbock Avalanche-Journal,
2009). In just a matter of one season, in the eyes of the national and local media, Texas Tech went from being the upstart program that played a compelling
wide-open offense to the school that employed a coach who humiliated an injured player. This forced the school into an on-going crisis communication phase.
Ultimately, the organization’s crisis communication management would use public relations techniques to attempt to protect the institution’s reputation.

Texas Tech officially fired Leach on December 30th. The firing came one day before Leach was due a substantial $800,000 bonus and a guaranteed $1.7 million
salary for the upcoming season (ESPN, 2009). The amount of money paid to Leach was far more than Texas Tech had spent on coaches in the past. However, it is
similar to the salaries of the major national coaches also in the Big 12. For example, Mack Brown of Texas received $5 million per year and Bob Stoops of
Oklahoma received $4.2 million per year (Rohode, 2010).

After Leach was fired he went on the media offensive criticizing the school and its athletic department. He claimed that the school “conspired”
to fire him because of the $800,000 bonus he was due. In court documents, his lawyers argued “TTU would obtain the benefits of Leach’s performance
but chisel him out of his compensation” (Associated Press, 2010). He also said the animosity between him and the school was a result of the contract negotiations
he went through the previous year (Evans and Thamel 2009). Since Texas Tech had such a productive 2008 season going 11-2, Leach’s name was constantly
attached to openings at large programs including Auburn and Washington. Subsequently, in an effort to keep Leach in Lubbock, Texas Tech was forced to renegotiate
the coach’s contract. Larger football schools must commonly increase incentives in order to keep a head coach if he wins. Texas Tech was essentially in an unfamiliar
situation from a financial perspective to be bidding against itself to keep Leach.

Leach said of his relationship with Texas Tech administrators, “It’s shocking to me that there’s people working together that were trying to
get me fired last year after an 11-1 regular season,” Leach said. He added: “I believe in everybody working together and that together we could all
accomplish great things together, but then I discover that’s not the case and that the very foundation is crumbling out from under me. Betrayal’s
really hard” (Evans and Thamel, 2010). Providing support to Leach’s claims that the school’s top administrators did not want him running the
program regardless of the James situation, the Dallas Morning News acquired internal emails from 2008 to 2010 between Tech administrators, primarily Chancellor
Kent Hance and athletic director Gerald Myers, and athletic booster Jim Sowell of Dallas during Leach’s contract negotiations. The emails display a general
lack of support for Leach even though the school was going to offer him a major pay raise. One message had Sowell recommending to Hance and Myers that Tech
should stand firm in its negotiations with the coach. “You should sign a contract that would not cost us too much to fire him,” Sowell wrote.
“He has to have a big buyout. He has shown no loyalty” (Dallas Morning News, 2010). Leach’s attorney also stated that reports show that Hance
informed an attorney investigating James’ claims against Leach that they were “too milk toast” and “too mild” (USA Today, 2010).

Leach also contended that the celebrity status awarded to James because of his father’s NFL career and status as an ESPN commentator accelerated
the firing process. (Evans and Thamel, 2010). Texas Tech officials denied these claims and fired Leach with cause because of his insubordination and lack of
assistance during the James situation and the resulting investigation (Carver, 2010). The back-and-forth claims eventually led Leach to sue the university
on a number of claims. A district judge ruled that Leach could sue on one count of breach of contract. To date both sides are still entangled in a legal battle
(Blaney, 2010).

Jim Leavitt

Leach and Texas Tech’s national rise almost paralleled that of Jim Leavitt and the University of South Florida. Leavitt was ostensibly the godfather of
Bulls football. He coached at the school from 1997 to 2009. Beginning in 1997, South Florida was a I-AA program that eventually joined I-A’s Conference
USA in 2003. After just two seasons in the conference, South Florida made another significant jump, this time to the Big East and its BCS conference status. Once
again Leavitt was at the helm as the USF program grew and won simultaneously. South Florida made five straight post-season games from 2005 to 2009.

The peak of Leavitt’s career and the height of South Florida football came in September 2007 when the program made its first-ever appearance in the
Top 25. As the Bulls kept winning that season, they made it to No.2 in the BCS rankings. Only Ohio State had a better position than the Bulls. South Florida
lasted in that spot only one week as it fell to conference rival Rutgers in a nationally televised contest. Two more losses came in ensuing games as Leavitt’s
squad eventually dropped out of the rankings. The Bulls finished the season 9-4 with a loss to Oregon in the Sun Bowl.

Even with the late season dry spell, Leavitt was rewarded with a contract extension that would pay him $12.6 million from 2008 to 2014 (USA Today, 2010). Much like
Leach, other major programs also courted Leavitt prior to his signing this contract extension. Schools such as Alabama, Arizona State, Kansas State, and Miami were
reportedly interested in Leavitt’s services (Donahue, 2006). Leavitt often cited his allegiance to the university as the main reason he stayed in Tampa.
His allegiance was rewarded with a new contract, an uncommon policy for the school that only a few years prior had become a Division I program.

Crisis: Leavitt has altercation with player

The Jim Leavitt case mirrors Leach in many ways. Leavitt coached USF from 1997 to 2009 to a 94-57 record. Like Texas Tech, USF never made a BCS bowl appearance
even though it came very close. To stay competitive in an extremely difficult market, USF gave Leavitt a raise to keep him as its football coach. This raise
came just before a controversial incident, as was the case with Leach. On November 21, 2009, during halftime of a game against Louisville, Leavitt apparently struck
one his players, sophomore Joel Miller, a claim that Leavitt denied to school officials. Fanhouse.com first reported the story of the halftime incident (McMurphy,
2010). Afterwards, Leavitt responded: “It’s absolutely not true. It’s so wrong. It’s so far out there. I’m very disappointed something like this would
be written” (Auman, 2009). Leavitt contended that he was trying to raise the spirits of an upset player.

When first contacted by the media following the breaking story, South Florida representatives neither supported nor criticized Leavitt. “The University
of South Florida is aware of the story and will review the matter promptly,” said Michael Hoad, USF vice president for communications. “We’re committed
to ensuring due process for everyone involved. To ensure fairness, the university doesn’t comment during a review” (Auman, 2009).

An investigation followed and it was concluded that Leavitt grabbed Miller by the throat, slapped him in the face and then lied about it (ESPN.com, 2010).
USF made the findings first known to the media through a press release. The investigation conducted by the school also revealed that Leavitt lied to investigators
and had encouraged players and coaches to do likewise. In the wake of the report, Leavitt said he did not hit the player or ask others to lie on his behalf. USF
President Judy Genshaft and athletic director Doug Woolard asked Leavitt to admit to the incident as a result of his momentary loss of control. The coach
refused to do so, saying he was “sticking to his guns.” Just hours after he refused to admit to his misbehavior as stated in the investigation
to the school’s top administrators, Leavitt was fired on January 8, 2010 (Peterson, 2010). In a press conference announcing the firing, “neither
Genshaft nor Woolard took questions and specifics about Leavitt were not discussed” (Fox Sports, 2010).

Financial considerations were also present in the Leavitt firing. ESPN.com reported in January 2010: “Leavitt just finished the second season of
a seven-year, $12.6 million contract extension that calls for a base salary of $800,000 in 2010. The terms of the contract stipulate that if fired with
cause Leavitt is entitled to one month’s base pay, in this case $66,667. If fired without cause, the university would owe him 75 percent of what he’s owed
for the remainder of the contract.”

RESULTS

Table 1. Themes of press coverage surrounding firings of Mike Leach and Jim
Leavitt

Themes of Press Coverage of Leach and Leavitt
1. Coaches are praised for putting their programs on the national stage.2. For the first time, Texas Tech and USF must keep renegotiating contracts
with coaches.
3. Texas Tech and USF get close to BCS game but fail to make it.
4. Focus on Leach and Leavitt immediately goes from praise to their scandals.
5. Firings become national stories as journalists look to explain the situations.

6. Both schools attribute the firings to just the incidents in question.

7. Both coaches were due raises but were fired before they were paid.
8. School administrators characterize both as difficult or odd – other motives
regarding firings emerge.
9. Coaches who get schools to BCS games can encounter multiple offenses
and not lose their jobs.

Even though both Texas Tech and USF in their press conferences and reports to the media stated that the firings were a result of the way the two coaches
handled the players in questions, other motives clearly emerged in the press. The amount of national media coverage regarding these two regionally based coaches
indicates journalists were in search of deeper meanings behind their dismissals. To answer RQ1, the other reasons appear to be financially motivated, along with
administrators from both schools growing discontented with the coaches’ behaviors.

In the Leach case, there is an email trail that clearly displays the displeasure Texas Tech administrators had with giving Leach so much money and prestige.
If Leach brought BCS riches, it’s likely the school would maintain its relationship with him despite its displeasure. Since Leach did not provide the
school with its ultimate goal of being in a BCS game, Texas Tech was unable to take the national criticism it received as a result of Leach’s actions
(Jonsson, 2009). Spencer Hall (2009) wrote” It makes sense in a world where Leach, an oddball among oddballs, finally reaches the limit of tolerance
both on his part and on the part of his bosses in the TTU administration. Leach’s contract negotiations were, to put it politely, contentious. His flirtations
with other jobs were brazen. The university’s patience with his high-profile antics was running low.” The idea that there was more to Leach’s
firing than just his behavior with James was further supported by Magary (2009), “Just last year, he was nearly dropped by the school in the wake of contentious
negotiations. Just as the James saga was likely the last straw for the school to keep Leach around.” Based on attribution theory, Texas Tech explained
Leach’s firing for just one reason, not for the multiple reasons as stated in the media.

This rationale also holds true for Leavitt, a coach without a BCS bowl game to his credit who got a big pay raise right before a controversial incident.
South Florida was unwilling to tolerate national criticism created by a high paid coach that did not deliver the school the coveted BCS prize. As deplorable
as it is for a coach to hit a player, conflicting stories about the incident, including statements by Miller, make Leavitt’s abrupt firing questionable
in its motives (Schad, 2009). Even though Leavitt listened to other job offers, it does not appear that the ill will between him and the school ran as deep
as it did between Texas Tech and Leach. Rather, Leavitt’s biggest mistake was not winning a conference championship prior to the incident with Miller.

		"If his team was coming off a Big East title he might be able to survive 
	  this (for right or wrong), but when his teams routinely fizzled over the second 
	  halves of seasons, and with the way his team was a disaster in the classroom 
	  (with one of the nation’s worst rankings according to the Academic Progress 
	  Report), this wasn’t that tough a call for the university” (College 
	  Football News, 2010)."

Richard Cirminello echoed these sentiments with

 
		"Leavitt had become a caricature in recent years, racing around the 
	field as if he was that team trainer with less than all of his faculties. While 
	it was a cute act when USF was climbing up the ladder in the early days, it 
	stopped being endearing when the program stopped improving. The Bulls peaked 
	in October of 2007, rising to No. 2 in the country. Since then, they’ve 
	gone just 16-14, slipping into the middle of the Big East pack. As a program 
	builder, Leavitt had an epic run. As a program elevator, he appeared increasingly 
	out of his league. The incident involving Miller may have been just the ideal 
	opening the administration needed in order to make a change” (College 
	Football News, 2010)."

This “ideal opening” correlates with attribution theory since it allowed USF to tell a particular persuasive story about Leavitt’s firing
that was in the best interest of its stakeholders.

Comparison of Leach and Leavitt with BCS winning coaches

Around the same time Leach and Leavitt faced intense scrutiny from their employers; several other major coaches were also found to have violated rules. The coaches
used for comparison to address RQ2 are Pete Carroll (USC), Jim Tressel (Ohio State), Urban Meyer (Florida), and Nick Saban (Alabama). The media coverage
of these four coaches demonstrates each repeatedly violated NCAA rules and regulations. However, unlike Leach and Leavitt, these four coaches had success in bringing
their schools to BCS games. Also, these coaches did not lose their jobs after breaking the rules. Based on the research, as it relates to RQ2, there appears
to be a double standard for college football coaches. Winning coaches can withstand a crisis or rules violation unlike those coaches without the same BCS success.

For example, Carroll, the former coach of USC, was able to maintain his job from 2001 to 2009 even though he presided over the program that committed a
number of major NCAA violations. So much so, that in June 2010 the NCAA put USC on a two-year post-season ban while also forcing the program to eliminate
30 scholarships and forfeit a number of wins from 2004 to 2006 (Klein and Wharton, 2010). Most of the illegality of Carroll’s program came during the recruitment
of Reggie Bush.

Noted Los Angeles Times sports columnist Bill Plaschke (2009) criticized Carroll’s tenure and his knowledge of the recruiting illegalities by writing “he
goes from saint to scallywag. Carroll says he didn’t know about the Bush violations. That now seems impossible… …he made $33 million from violations that will
cost his old school its reputation, and folks here will never look at him the same.” Carroll was able to keep his job during a period of time the NCAA
was “troubled” by “the campus environment” that he created at USC (Lev, 2010). The NCAA also criticized USC for disregarding Carroll’s
blatant use of allowing influential visitors access to his team by stating in a critical report of the school “”the institution’s failure to regulate
access to practices and facilities” (Gardner, 2010). Clearly, Carroll’s BCS accomplishments helped insulate him from the immediate and harsh punishment
given to Leach and Leavitt.

Ohio State’s Tressel guided his team to three BCS championships, winning one, during his 10 years in Columbus. Those impressive numbers included five
straight Big 10 conference titles. Because of this success, he was one of the top paid coaches in the country with an annual salary that eclipses $3.7 million
(Berkowitz, 2010). However, Tressel faced scandals several times during his Ohio State tenure. Longman (2007) wrote that both his career first at Youngstown
State and then OSU have been tarnished by a number of issues. “At both colleges, his top quarterback took money from boosters in violation of NCAA
rules. Maurice Clarett, the running back who played a vital role in Ohio State’s national championship in 2002, sits in prison after a sad descent. A number
of other Ohio State players have encountered legal or disciplinary problems since Tressel became head coach in 2001, and his academic record, while improving,
remains mixed.” Longman (2007) also wrote that Ohio State’s athletic director was a “staunch ally” of Tressel. As it relates to Leach,
he certainly was not an ally of top Texas Tech officials.

There was a similar relationship at Florida between Meyer and athletic director Jeremy Foley. Meyer was the recipient in 2005 of a seven-year contract worth
$14 million handed out by Foley (Low, 2009). This salary was a result of Meyer’s two national championships and the highest winning percentage in the BCS. However,
during this time in Gainesville, 27 of Meyer’s players were arrested. The charges varied from larceny, stalking, to assault. The arrests forced Meyer
to defend himself by saying “it’s not a dirty program” (Associated Press, 2010). Tressel was fired by OSU in 2011 and Meyer retired in late 2010.

Alabama’s Saban, a winner of three BCS games and a national championship, encountered scandal in the summer of 2010 when a number of his players were
involved with illegal dealing with agents (Mandel, 2010). Saban did his best to distance himself from the issue, but this followed another scandal where
a number of Alabama players were caught in unauthorized selling of their free textbooks as a result of their scholarships (Miasel and Schlabach, 2010). During
his time at Alabama, Saban has dealt with “text book scandals and felonies” (Brizendine, 2008). While Alabama was forced to vacate 21 wins and placed on
three years-probation, Saban’s job was not in jeopardy as a result (Hooper, 2009).

DISCUSSION

The one-dimensional storytelling via the media conducted by both Texas Tech and South Florida regarding the firings of Leach and Leavitt has a direct relationship
with attribution theory. Since these schools omitted other relevant and significant factors, such as disputes with administrators, uneasiness about renegotiating
contracts, general odd behavior, and poor academic performance by the players, their messages to the media suggest they were doing so to protect themselves
and their stakeholders. These other factors were well documented by journalists.

For Texas Tech and USF, this protection was a manifestation of attribution theory in action. The rationale behind the firings of Leach and Leavitt was
public relations and marketing driven. Texas Tech and South Florida did not want to expand publicly on these other issues and instead focused their messages
on the intolerant behaviors Leach and Leavitt displayed in an effort to perpetuate the image that the schools are institutions of higher learning, not just football
academies. Also, by crafting a public story focused just on the singular activities of Leach and Leavitt, it gave the schools the rationale of firing a coach for
just cause. Texas Tech and South Florida called upon the persuasion techniques of attribution theory to create a story that would have fans, and some journalists,
believe the outcomes of the events were solely a result of the singular actions of both Leach and Leavitt.

These two schools were able to employ their crisis communication techniques of creating a favorable story line because so many media outlets were willing
to carry their message in an effort to gain more content and programming. The addition of ESPN’s Craig James into the story generated even more media
attention. Most of the coverage about the other issues surrounding the firings came from the national outlets. This finding is noteworthy as it underscores
the symbiotic relationship the local Texas and Florida news outlets share with Texas Tech and South Florida. The local media outlets may have shown restraint
in creating critical coverage of these two universities. The exception was the Lubbock Avalanche- Journal that did run a number of pieces illustrating the
problems between Texas Tech administrators and Leach.

In the context of this research, there appears to be a double standard within the highest ranks of college football. Coaches with BCS wins apparently can
withstand a crisis and receive greater support from their employer than those coaches without BCS wins. Unfortunately for Leach and Leavitt, they didn’t
have the same success as the likes of Carroll, Tressel, Meyer and Saban. Relating to the concepts of the attribution theory, a school is unlikely to make public
statements that a coach was able to keep his job because he won BCS games. The school would instead provide other reasons that supported its status as an institution
of higher learning.

CONCLUSIONS

The media coverage surrounding Leach and Leavitt in wake of their scandals demonstrates that the worst action a college coach can do is simply not win
enough. Universities, using the application of attribution theory, are not likely to publicly state this as it would tarnish their overall reputation. However,
it can serve as the foundation for a firing based on another incident that otherwise might not seem related. This idea of using an alternative rationale brings relevance
to this paper’s topic and attribution theory. As part of a school’s crisis communication plan, it might tell a public story that best serves itself
and its stakeholders.

APPLICATIONS IN SPORT

This paper expanded the literature of sport communication to include attribution theory. As previously stated in this paper, attribution theory is not often
included in sports media literature. This paper is one of the few works to introduce attribution theory to sports public relations. A better understanding of this
theory as it relates to sports crisis communication will benefit both academic scholars and professional journalists looking to interpret and contextualize
the issues surrounding the firing of a major college coach. Since schools have so much money riding on the success of their teams, they will continue to dismiss
coaches who do not win enough games in efforts of finding someone who will. Such competition in the industry of higher education that is supposed to both
educate young people and profit from athletic investments will continue to create a constant flow of financial, ethical, and media issues worthy of deeper analysis.

Even though both Texas Tech and South Florida scaled back the amount of money invested in their football coaches, other schools are still pouring millions
of dollars into their programs in search of BCS riches. However, there only a select few games and only half the teams participating in those games can
prevail as the winner. So, there will continue to be more schools that fail in their BCS quest than win. This financial arms race and the adjoining media
coverage should continue to create worthy areas of academic exploration for future researchers. This paper could lead other researchers into examining the
rationale of how and why a football coach was fired by a college or university. As college basketball continues to expand in popularity, similar research could
evolve with that sport as well.

ACKNOWLEDGMENTS

David Dewberry, Yun Xia, Cheryl Moore, Eliot Emert

REFERENCES

  1. Aronson, (1994, Spring). A Pragmatic View of Thematic Analysis. The Qualitative
    Report, Retrieved from http://www.nova.edu/ssss/QR/BackIssues/QR2-1/aronson.html
    Associated Press. (2010, April 17). Mike Leach claims Texas Tech officials
    conspired to fire him. USA Today.
  2. Associated Press. (2010, September 17). Coach Urban Meyer ‘real upset’
    [Web log post]. Retrieved from http://sports.espn.go.com/ncf/news/story?id=5582010
  3. Auman, G. (2009, December 15). USF Bulls coach Jim Leavitt: ‘So wrong’
    to say he hit player. St. Petersburg Times. Retrieved from
    http://www.tampabay.com/sports/college/usf-bulls-coach-jim-leavitt-
    denies-striking-player/1058816
  4. Berkowitz, S. (2010, March 10). Salaries spike for college football assistants,
    successful coaches. USA Today. Retrieved from http://www.usatoday.com/sports/college/football/2010-03-09-coaches-salaries_N.htm
  5. Blaney, B. (2010, October 7). Attorneys await ruling in Leach lawsuit appeal.
    Associated Press. Retrieved from http://www.google.com/hostednews/ap/article/ALeqM5g9o4jcaS7mR0hBu3Ns-F6J1S-NsAD9IN2MRO0?docId=D9IN2MRO0
  6. Brizendine, M. (2008, October 13). Navigating Out of Doldrums: Saban Provides
    Wind for Alabama’s Sail. Bleacher Report. Retrieved from http://bleacherreport.com/articles/68438-navigating-out-of-the-doldrums-saban-provides-wind-for-alabamas-sails
  7. Carver, L. (2010, January 9). Leach lawsuit claims fraud, defamation. Lubbock
    Avalanche-Journal. Retrieved from http://www.redraiders.com/2010/01/09/leach-lawsuit-claims-fraud-defamation/
  8. Cave, M., & Crandall, R. (2001, February). Sports Rights and the Broadcast
    Industry. The Economic Journal, 111 (469), 4-26.
  9. Coble, D. (2008, December 29). Gator Bowl: 30th anniversary punch. Florida
    Times Union. Retrieved from http://jacksonville.com/sports/college/other_college_sports/2008-12-29/gator_bowl_30th_anniversary_punch
  10. College Football News. (2010, January 12). CFN Analysis – Jim Leavitt fired.
    The USF coach gone amid controversy [Web log post]. Retrieved from http://cfn.scout.com/2/937332.html
  11. Coombs, T. (2007, June). Attribution Theory as a Guide for Post-Crisis
    Communication Research. Public Relations Review, 33(3), 135-139.
  12. Dallas Morning News. (2010, January 2). E-mails show rocky relationship
    between Texas Tech and Leach. Dallas Morning News. Retrieved from http://www.dallasnews.com/sharedcontent/dws/spt/colleges/texastech/stories/123109dnspoleachletters.2d4b0ea8.html
  13. Dodd, D. (2009, December 30). Emails in Support of Mike Leach. CBSSports.com.
    Retrieved from http://dennis-dodd.blogs.cbssports.com/mcc/blogs/entry/6270202/19238949
  14. Donahue, K. (2006, November 26). Where does Jim Leavitt want to coach?
    [Web log post]. Retrieved from Rivals.com: http://www.fanblogs.com/south_florida/006785.php
  15. Dunnavant, K. (2004). The 50-Year Seduction: How Television Manipulated
    College Football. NY: Saint Martin’s.
  16. ESPN.com (2009, December 31). Texas Tech fires Leach [Web log post]. Retrieved
    from ESPN.com: http://sports.espn.go.com/ncf/bowls09/news/story?id=4781981
  17. ESPN.com. (2010, January 8). Leavitt fired as South Florida coach [Web
    log post]. Retrieved from ESPN.com: http://sports.espn.go.com/ncf/news/story?id=4807719
  18. ESPN.com (2010, January 11). Lawyers Want Leavitt Reinstated at USF. Retrieved
    from ESPN.com http://sports.espn.go.com/ncf/news/story?id=4815717
  19. Evans, T., & Thamel, P. (2009, December 30). Leach Is Fired Over Treatment
    of Player. New York Times. Retrieved from http://www.nytimes.com/2009/12/31/sports/ncaafootball/31leach.html
  20. Evans, T., & Thamel, P. (2010, January 1). Leach Denies He Mistreated
    Player. New York Times. Retrieved from http://www.nytimes.com/2010/01/01/sports/ncaafootball/01leach.html?_r=1
  21. Fox Sports (2010, January 8). USF coach Leavitt fired amid allegations
    he hit a player. Retrieved from http://msn.foxsports.com/collegefootball/story/South-Florida-Jim-Leavitt-
    fired-010810
  22. Frick, B., Barros, C., & Prinz, J. (2010, January). Analyzing Head
    Coach Dismissals in the German “Bundesliga” with a Mixed Logit
    Approach. European Journal of Operational Research, 1(1), 151-159.
  23. Gardner, T. (2010, June 29). Pete Carroll Rips NCAA Again For Punishments
    Levied Against USC. USA Today. Retrieved from http://content.usatoday.com/communities/campusrivalry/post/2010/06/pete-carroll-rips-ncaa-again-for-punishments-levied-against-usc/1
  24. Golden, A. (2003, Summer/Fall). An Analysis of the Dissimilar Coverage
    of the 2002 Olympics and Paralympics: Frenzied Pack Journalism versus the
    Empty Press Room. Disability Studies Quarterly, 23(3/4). Retrieved from http://dsq-sds.org/article/view/437/614
  25. Greenberg, M. J. (1991, Spring). College Coaching Contracts: A Practical
    Perspective. Marquette Sports Law Review, 1(2), 207-280.
  26. Hall, S. (2009, December 30). The Brief: Mike Leach Fired At Texas Tech
    and What It Means [Web log post]. Retrieved from SB Nation: http://www.sbnation.com/2009/12/30/1225603/mike-leach-texas-tech-fired-cause-terms-effects
  27. Heath, R., Toth, E., & Waymer, D. (2009). Rhetorical and Critical Approaches
    to Public Relations II. New York: Routledge.
  28. Hooper, M. (2009, June 11). NCAA puts Alabama football back on probation,
    vacates wins. Birmingham Weekly. Retrieved from http://bhamweekly.com/birmingham/article-867-ncaa-puts-alabama-football-back-on-probation-vacates-wins.html
  29. Jonsson, P. (2009, December 30). Mike Leach fired: Texas Tech coach’s
    methods seen as cruel. Christian Science Monitor. Retrieved from http://www.csmonitor.com/USA/Society/2009/1230/Mike-Leach-fired-Texas-Tech-coach-s-methods-seen-as-cruel
  30. Klein, G., & Wharton, D. (2010, June 10). NCAA sanctions could cost
    USC millions. Los Angeles Times. Retrieved from http://articles.latimes.com/2010/jun/10/sports/la-sp-0611-usc-ncaa-sanctions-20100611
  31. Koning, R. H. (2003). An Econometric Evaluation of the Firing of a Coach
    on Team Performance. Applied Economics, 35(5), 555-564.
  32. Laczniak, R.; DeCarlo, T.; & Ramaswami, S. (2001, July). Consumers’
    responses to negative word-of-mouth communication: An attribution theory perspective.
    Journal of Consumer Psychology, 11(1), p. 57-73.
  33. Leach suspended after player alleges abuse. (2009, December 29). Lubbock
    Avalanche Journal. Retrieved from http://www.redraiders.com/2009/12/29/leach-suspended
  34. Leach, M. (2009). A Legal Education Applied to Coaching College Football.
    Texas Tech Law Review, 42, (77).
  35. Lev, M. (2010, June 28). Pete Carroll Returns to LA and Rips NCAA. Orange
    County Register. Retrieved from http://www.ocregister.com/sports/carroll-255463-usc-football.html
  36. Longman, J. (2007, January 3). The Two Sides of Jim Tressel. The New York
    Times. Retrieved from http://www.nytimes.com/2007/01/03/sports/ncaafootball/03tressel.html?pagewanted=print
  37. Low, C. (2009, September 2). New Deal in Hand, Meyer Staying Put at Florida
    [Web log post]. Retrieved from http://espn.go.com/blog/sec/post/_/id/2106/new-deal-in-hand-meyer-is-staying-put-at-florida
  38. Mirca Madianou, M. (2002). Mediating the Nation. News, Audiences and Identities
    in Contemporary Greece. Write Doctoral Dissertation. London School of Economics
    and Political Science.
  39. Magary, D. (2009, December 30). Why Mike Leach Wins Big in the Texas Tech
    Fiasco [Web log post]. Retrieved from NBC News New York: http://www.nbcnewyork.com/news/sports/Why-Mike-Leach-Is-The-Big-Winner-Of-The-Mike-Leach-Fiasco-80418402.html
  40. Mandel, S. (2010, September 16). Inside Look at NCAA Enforcers Who are
    Spearheading AgentGate. Sports Illustrated. Retrieved from http://sportsillustrated.cnn.com/vault/article/web/COM1174500/index.htm
  41. McMurphy, B. (2010, January 8). Investigative Report Details Leavitt’s
    Lies. AOLNews. Retrieved from http://www.aolnews.com/2010/01/08/south-florida-cuts-ties-with-coach-jim-leavitt/
  42. Miasel, I., & Schlabach, M. (2010, July 22). Dareus may have attended
    agent’s party [Web log post]. Retrieved from http://sports.espn.go.com/ncf/news/story?id=5396236
  43. Murphy, A. (2011, May 2). Under Attack. Sports Illustrated. Retrieved from
    http://sportsillustrated.cnn.com/vault/article/magazine/MAG1184824/index.htm
  44. Oriard, M. (2009). Bowled Over: Big Time College Football from the 60s
    to the BCS. The University of North Carolina Press.
  45. Patton, M. Q. (2002). Qualitative Research & Evaluation Methods. Thousand
    Oaks: Sage Publications.
  46. Pelley, S. (2009, January 4). Mike Leach: The Mad Scientist Of Football
    [Web log post]. Retrieved from CBS News: http://www.cbsnews.com/stories/2008/12/31/60minutes/main4694714.shtml
  47. Peterson, L. (2010, January 8). Genshaft: Leavitt refused to admit wrongdoing
    during meeting. Tampa Tribune. Retrieved from http://www2.tbo.com/content/2010/jan/08/genshaft-leavitt-refused-admit-wrongdoing-during-m/sports-colleges-bulls/
  48. Plashcke, B. (2009, June 12). USC fans, blame USC. Los Angeles Times. Retrieved
    from http://www.latimes.com/sports/la-sp-0611-plaschke-usc-ncaa-20100611-9,0,458661.column/
  49. Rohode, J. (2010, February 16). Big 12 football salary update. The Oklahoman.
  50. Schad, J. (2009, December 16). USF’s Miller says he was not harmed
    [Web log post]. Retrieved from ESPN.com: http://sports.espn.go.com/ncf/news/story?id=4749780
  51. Selvaggi, M. (1993). The College v. The Coach. Seton Hall J. Sport L.,
    221-225.
  52. Sperber, M. (2000). Beer and Circus. New York: Henry Holt.
  53. Stangel, K. (2000, Fall). Protecting Universities’ Economic Interests:
    Holding Student-Athletes and Coaches Accountable for Willful Violations of
    NCAA Rules. Marquette Sports Law Review, 11(1), 137-160.
  54. Staples, A. (2010, November 5). Forget Utah, Alabama Could be Key to Successful
    BCS Antitrust Suit. Sports Illustrated. Retrieved from http://sportsillustrated.cnn.com/2010/writers/andy_staples/11/05/bcs-antitrust/index.html
  55. Stein, D. (2004). Buying in or Selling Out?: The Commercialization of the
    American Research University. Rutgers University Press.
  56. USF player wants apology from fired coach Jim Leavitt. (2010, January 14).
    USA Today. Retrieved from http://www.usatoday.com/sports/college/football/bigeast/2010-01-14-player-wants-leavitt-apology_N.htm
  57. Warmbroad, J. (2004). Antitrust in Amateur Athletics: Fourth and Long:
    Why Non-BCS Universities Should Punt Rather than Go for an Antitrust Challenge
    to the Bowl Championship Series. Oklahoma Law Review, 57, p. 333 – 373.
  58. Weiner, B. (1985). An Attribution Theory of Achievement Motivation and
    Emotion. Psychology Review, 92, 548-573.
  59. White, P., Persad, S., & Gee, C. (2007, June). The Effect of Mid-Season
    Coach Turnover on Team Performance: The Case of the National Hockey League
    (1989 – 2003). .International Journal of Sports Science and Coaching,
    2(2), 143-152.
  60. Woodward, G., & Denton, R. (2009). Persuasion and Influence in American
    Life. Long Grove, IL: Waveland Press.
2014-11-24T05:48:54-06:00November 16th, 2012|Contemporary Sports Issues, Sports Coaching, Sports Facilities, Sports Management|Comments Off on Analysis of the Reasoning Behind the Firings of Mike Leach and Jim Leavitt

Female Athletes and Eating Disorders

 

Abstract

Sports should prevent athletes from having eating disorders not develop eating disorders. There is evidence that female athletes are at a risk of developing
disordered eating. The purpose of this study was to find how prevalent eating disorders are in female athletes and examine factors that may have a relationship
with eating disorders.

A questionnaire containing two instruments was distributed to volunteer female athletes in a Midwestern university. The EAT 26 was used to measure the prevalence
of eating disorders. The ATHLETE questionnaire was used to inquire some factors that may have a relationship with eating disorders among athletes. Results showed
14.3% of the respondents scored a 20 and above on the EAT 26 and thus considered at risk of having an eating disorder. The ATHLETE questionnaire showed that
there were some significant negative correlations between the EAT 26 score and participant’s feelings about their body, feelings about sports, feelings
about performance, and feelings about eating. The negative correlations meant that the more the participants scored high on their feelings about their body,
sports, performance, and eating, the less likely they scored low on the EAT 26 indicating they did not have a risk of an eating disorder.

This study implies that when athletes feel good about their body, sport, performance and their eating, the less likely they will have an eating disorder. This study
makes an important contribution in understanding female athletes and eating disorders as well as factors that may have a relationship to eating disorders
in female athletes.

 

Introduction

An eating disorder is a psychological disorder that many women can acquire, ncluding collegiate athletes. Participation in sports activity can be a healthy
and enjoyable experience that can enhance self-worth and self-image in female athletes (12). Many people may believe that because athletes participate in
sports and maintain high levels of physical activity, they are not as self-conscience about their bodies. Contrary to this belief, (1) stated in their study that
athletes are at a greater risk for developing eating disorders than non-athletes. Why female athletes have eating disorders when they are so active is a question
of interest to many people. The purpose of this study is to find how prevalent eating disorders are in female athletes and examine factors that may have a
relationship with eating disorders.

Incorrect weight perceptions are more common in young women, with persistent overestimation of weight and attempts to lose weight even when unnecessary (7).
(5) stated that female athletes are a group particularly at risk for developing eating disorders or engaging in unhealthy behaviors to control their weight.
These athletes not only face the typical social pressures to be thin, but they also are immersed in a social context that focuses on their bodies.

Eating disorders are behavioral syndromes associated with considerable mobility that present onset of the highest mortality rates among mental illnesses. The
prevalence of eating disorders’ has increased since the 1990s in both female athletes and non-athletes. Female athletes go through a lot of pressures
and conflicts playing collegiate sports. Female athletes are a group particularly at risk for developing eating disorders or engaging in unhealthy behaviors to
control their weight (13).

The western cultural emphasis given to weight and body shape points towards a “beauty standard” centered on thinness disorders (11). For some
female college athletes, college concerns and pressures may contribute to eating disorders or disordered eating behaviors (6). The sports environment can heighten
body and weight related concerns because of factors such as pressure from coaches and social comparisons, body dissatisfaction, physique anxiety, and perfectionism
(6, 11). A lack of professional guidance can make an athlete vulnerable to the onset of disordered eating (10). It appears that negative moods such as anxiety,
perfectionism, and negative comments about body shape or weight from coaches are related to disorder eating in female athletes (1). (9) found that social
pressure on body shape was strongly correlated with body dissatisfaction. Female athletes’ body dissatisfaction has shown correlation with bulimia (6).
According to (7), perfectionism, for example in sports has been found to be a risk factor for bulimic symptoms.

However, prevalence of clinical and subclinical eating disorders has been found to be higher-among female athletes than non-athletes (5). Young women, particularly
those in aesthetic sports are vulnerable to body dissatisfaction, eating disorders, and disordered eating (10). Situational factors specifically involvement in
individual sports or team sports, may put athletes in situations where social physique anxiety and disordered eating is likely to be heightened to manage
weight and shape concerns (13, 8).

This is an important topic because although physical activity enhances self-esteem and promotes physical and emotional well-being, there is evidence that female
athletes are at a risk of developing disordered eating. It is important to investigate some of the reasons why female collegiate athletes feel the need to have disordered
eating. Results of the study can assist in developing and executing suitable eating-disorder prevention and intervention programs for female college athletes.
The purpose of the study was twofold. First, it was to assess how prevalent eating disorders were among female college athletes. Secondly, it was to explore
some factors that may have a relationship with eating disorders.

Methods

Participants
There were 56 participants in total, including 11 freshman, 21 sophomores, 13 juniors and 11 seniors. The following sports were included: soccer (23.2%),
softball (23.2%), track and field (41.1%), and swimming (12.5%). The age range was between 18 to 22 years, with over 98% being between 18 and 21 years. The
entire sample was Caucasian with an exception of one participant.
Instruments

A questionnaire was used to collect data, it included a demographic section on age, sex, height, weight and race of the participants. Two instruments were
included in the questionnaire, the first being the EAT 26 by (4), which measured prevalence of eating disorders among athletes. The EAT 26 has been used extensively
in research as a reliable measure of prevalence of eating disorders. The EAT-26 scale is comprised of these dimensions: dieting, bulimia and food preoccupation,
and oral control. Each item on the scale is rated on a scale of 0-6 as follows: never=0, rarely=0, sometimes=0, often=1, usually=2, and always=3, except for
item 25 which is reverse scored.

Second was the ATHLETE questionnaire, which was used to inquire some factors that may relate with eating disorders among athletes. The ATHLETE questionnaire
is a reliable and valid measure of factors that may relate to disordered eating in athletes (9). The ATHLETE questionnaire has the following factors that have
shown association with disordered eating: feelings about being an athlete, the athlete’s body and sports, feelings about performance, team support, feelings
about one’s body, and feelings about eating.

Both instruments showed acceptable reliability. The EAT 26 included 26 items and yielded a reliability value of .76. The six factors in the ATHLETE questionnaire
demonstrated the following reliability values: feelings about being an athlete included five items with a reliability of .71, athlete’s body and sports
included 12 items with a reliability of .87, feelings about performance included seven items with a reliability of .67, team support included four items with
a reliability of .73, feelings about one’s body included six items a reliability of .85, and feelings about eating included four items with a reliability of
.85.

Procedures
The researchers first obtained Human subjects approval from the IRB before conducting the study. The questionnaire was distributed to the participants, and it contained
the demographic section of the questionnaire, the EAT 26, and the ATHLETE questionnaire. The questionnaire was given to volunteer female athletes at a Midwestern university.
A volunteer female athlete served as the monitor and distributed the questionnaires. The study was conducted in the absence of the coach and the researchers so that
the participants would not feel any coercion to participate in the study. The consent information for the participants was included at the beginning of the
questionnaire. The consent information explained that participating in the study was totally voluntary and that by completing the questionnaire, the participant
was giving consent to participate in the study. The questionnaire was completed anonymously and since there were no signed informed consent it was not possible
to identify individuals who participated in the study nor those whose scores indicated they were at risk of an eating disorder. Due to the sensitive nature
of the study, all participants were provided with referral information to their school’s health center and the crises hotline center, in case they realized
they were at risk of acquiring an eating disorder.

Statistical analysis
The data was entered into SPSS program – PASW Statistics 18. Reliability test for the EAT 26 and the ATHLETE questionnaire was analyzed. Descriptive statistics
were analyzed for the EAT 26. Those who scored EAT 26=20 were considered at risk of having an eating disorder. ANOVAs were computed to compare the means
of EAT 26 by year in school, age, weight, and sport participation. Correlations were completed between the EAT 26 and the factors of the ATHLETE questionnaire.

Results

There were 56 total participants who responded to the questionnaire. Frequencies were completed for EAT 26. If the participant scored EAT 26=20, then they were
considered at risk of having an eating disorder. Results showed that 8 female athletes, (14.3%) scored a 20 and above and were thus considered at risk of
having an eating disorder. The EAT 26 mean was 7.9 and standard deviation was 7.6. Figure 1 shows details of how the participants responded to the EAT 26.

ANOVAs were used to compare the means of EAT 26 by classification year, age, weight, and sports participation. Only age showed a significant difference in
means for the EAT 26. Further, Cross tabs were completed between those who had EAT26=20 and age. Results showed all of the 8 participants who had EAT 26=20
were 19 years of age.

Descriptive statistics were conducted on how the female athletes performed on the ATHLETE questionnaire, which can be seen in Table 1. Pearson correlation
was conducted to see whether there was a relationship between EAT 26 and ATHLETE questionnaire factors.
These four factors in the ATHLETE questionnaire demonstrated significant Pearson correlation values with EAT 26: feelings about body and sports with a correlation
of -.53, feelings about performance with a correlation of -.51, feelings about your body with a correlation of -.50, and feelings about eating with a correlation
of -.31. These two factors in the ATHLETE questionnaire did not demonstrate significant Pearson correlation values with EAT 26: feelings about being an
athlete, and team support. Table 2 shows details about correlations between EAT 26 and the ATHLETE questionnaire factors.

Discussion

This study found 14.3 % of female athletes were considered at risk of having an eating disorder. This study also reported that everyone found to have an
eating disorder was 19 years old. The ATHLETE questionnaire showed that there were some significant negative correlations between the EAT 26 score and participant’s
feelings about their body, feelings about sports, feelings about performance, and feelings about eating. The negative correlations meant that the more the
participants scored high on their feelings about their body, sport, performance, and eating, the less they scored on the EAT 26, indicating they did not have
an eating disorder.

Two of the factors in the ATHLETE questionnaire dealt with body image; the athlete’s body and sports, and feelings about one’s body. Both factors
had a significant negative correlation with EAT 26 scores. This indicated that the female athletes’ who scored high on the athlete’s body and sports,
and feelings about one’s body were likely to score low on the EAT-26. Hence, indicating they were not likely to be at risk of an eating disorders.
This finding concurs with the study by (2), which contended that body image dissatisfaction is the strongest predictor of eating disorder symptoms.

A study done (6) stated that sport-related pressures such as weight limits, teammates’ eating-related behaviors, judging criteria, revealing uniforms,
and coach expectations have been suggested as potential risk factors for an athlete to develop an eating disorder. Our study found that team support and
feelings about being an athlete did not have a relationship with eating disorders. Another study done by (10) stated that families, peers, and coaches can have
a major effect on female athletes. Our study did not show that pressures from the participant’s families, peers, and coaches had any effect on the athlete
and eating disorders.

This study found that ‘feelings about performance’ in the ATHLETE had a significant negative correlation with the EAT 26 total. This indicated
that the more the athletes felt good about their performance in sports, the less likely they were at risk of an eating disorder. This finding concurs with
(1) study that stated that negative moods such as anxiety and perfectionism were related to disordered eating in female athletes.

In the current study, all participants who scored EAT 26=20, were 19 years old, and were either sophomores or juniors in school. There were no freshman
or seniors found to have a risk of an eating disorder. This indicates that the female athlete participants felt more pressure or problems with their eating
in the middle of their college years. This finding concurs with the study by (2), which stated that eating and dieting problems in college freshman women
was fairly stable across the first year of college. The current study suggests that the female athletes develop some eating disorder as they try to lose weight
in the sophomore year and stabilize by the fourth year. More research is needed on eating disorders of female athletes through the four college years.

Since the participants is this study was were nearly all Caucasian, this study may have found higher levels of disordered eating concerns than a more diversified
sample. Future similar studies can build on this study by having a larger proportion of other ethnicities. In addition, future similar studies can have a wider range
of sport, especially sports where the athletes’ uniforms for competition are more revealing such as swimming, dance, and gymnastics.

Conclusion

This study shows that eating disorders are prevalent among female athletes. Some factors that have a relationship with eating disorders include feelings
about their body, sports performance, and eating. This study also shows that feelings about being an athlete such as being competitive and team support did
not show much relationship with eating disorders.
This study makes an important contribution in understanding females and eating disorders, as well the factors that may have a relationship in causing eating
disorders in female athletes.

Application to Sport

Eating disorders are still an issue of concern among female athletes. This study reveals that the more female athletes felt good about their body, sports,
performance, and eating, the more likely they would not have an eating disorder. Feelings about an athlete like being competitive and team support did not show
much relationship with eating disorders. To keep away from disordered eating, female athletes ought to have positive inner feelings about themselves.

Sports participation among college females should be encouraged because this will improve their ‘feelings about their body’ and in turn make
them less at risk of getting an eating disorder. Participation in sports activity can be a healthy and enjoyable experience that can enhance self-worth and self-image
in female athletes (12). Since body image dissatisfaction is the strongest predictor of eating disorder symptoms (2), then body image holds the most promise as a
focus for prevention programs of eating disorder among college female athletes.

Disordered eating prevention efforts offered by college counseling centers for female athletes should focus on promoting students’ acceptance of their own
bodies. Such efforts will counteract the media influences that propagates the extremely ‘thin ideal’ that is unattainable by most normal female
athletes. A school-based sport centered program can be useful in deterring females from disordered eating (3). For those working with athletes, they should avoid
equating thinness to sport performance. They should be encouraged to become more knowledgeable and responsible regarding the critical role of healthy eating
and nutrition in female athletes. Such knowledge will equip them to play a significant role identifying, managing, and preventing eating disorders among female athletes
and increase prospects of a positive sport experience for female athletes. Female athletes ought to be encouraged to regard their health first before sports performance.
Consequently, the International Olympic Committee (IOC) emphasizes an athlete’s health rather than weight and body composition (12).

Acknowledgements

Many thanks to the anonymous volunteer female athletes who agreed to participate in this study.

References

1. Arthur-Cameselle, J., Quatromoni, P.(2011). Factors related to the onset
of eating disorders reported by female collegiate athletes. The Sport Psychologist,
25(1), 1-17.

2. Cooley, E., & Toray, T. (2001). Disordered Eating in College Freshman
Women: A Prospective Study. Journal of American College Health, 49(5), 229.

3. Elliot D, Goldberg L, Moe E, et al. (2004). Preventing substance use and
disordered eating: Initial outcomes of the ATHENA program. Arch Pediatric Adolescent
Medicine, 158:1043-1049.

4. Garner, D. M., Olmsted, M. P., Bohr, Y., & Garfinkel, P. E. (1982).
The Eating Attitudes Test: Psychometric features and clinical correlates. Psychological
Medicine, 12, 871–878.

5. Greenleaf, C., Petrie, T., Carter, J., Reel, J.(2009). Female collegiate
athletes: prevalence of eating disorders and disordered eating behaviors. Journal
of American College Health, 57(5) 485-495.

6. Greenleaf, C., Petrie, T., Reel, J., Carter, J. (2010). Psychosocial risk
factors of bulimic symptomatology among female athletes. Journal of Clinical
Sport Psychology, 4, 177-190.

7. Haase, A.(2011). Weight perception in female athletes: association with
disordered eating correlates and behavior. Eating Behaviors, 12,64-67. doi:
10.1016/j.eatbeth.2010.09.004.

8. Haase, A. (2009). Physique anxiety and disordered eating correlates in female
athletes: differences in team and individual sports. Journal of Clinical Sports
Psychology, 3, 218-231.

9. Hinton, P. S., & Kubas, K. L. (2005). Psychosocial Correlates of Disordered
Eating in Female Collegiate Athletes: Validation of the ATHLETE Questionnaire.
Journal of American College Health, 54(3), 149-156.

10. Kerr, G., Berman, E., Jane De Souza, M. J.(2006). Disordered eating in
women’s gymnastics: perspectives of athletes, coaches, parents, and judges.
Journal and Applied Sport Psychology, 18, 28-43. doi: 10.1080/10413200500471301.

11. Oliveria Coelho, G., Soares, E., & Ribeiro, B.(2010). Are female athletes
at increased risk for disordered eating and its complications. Appetite, 55,
379-387. doi:10.1016/j.appet.2010.08.003.

12. Sherman, R., & Thompson, R. A. (2006). Practical use of the International
Olympic Committee position stand on the female athlete triad; a case example.
International Journal of Eating Disorders, 39(3), 193-201. Doi:10..1002/eat.20232.

13. Sundgot-Borgen, J., & Torstviet, M.(2010). Aspects of disordered eating
continuum in elite high- intensity sports. Scandinavian Journal of Medicine
and Science in Sports, 20, 112-121. doi: 10.1111/j.1600-0838.2010.01190x.

14. Torstviet, M., Rosenvinge, J., & Sundgot-Borgan, J.(2008). Prevalence
of eating disorders and the predictive power of risk models in female elite
athletes: a controlled study. Scandinavian Journal of Medicine and Science in
Sports, 18, 108-118. doi: 10.1111/j.1600-0838.2001.00657x.

Figures and Tables

Fig 1- Eat 26 Performance

Figure 1

Legend: Figure 1 shows frequencies of the EAT 26 totals for the female athletes,N=56. If the participant scored EATS 26=20 then they were considered at risk
of having an eating disorder. Figure 1 shows that eight participants (14.3%) had EAT 26=20.

 

Table 2 – Descriptive Statistics of the ATHLETE Questionnaire

Legend: Table 2 shows the ATHLETE questionnaire which was used to inquire
some factors that may relate with eating disorders among athletes. The ATHLETE questionnaire
has six factors. Table 2 lists the six factors, sample questions on each factor,
as well as the descriptive statistics for the ATHLETE questionnaire.

Factors of the ATHLETE questionnaire Sample Question on the ATHLETE QUESTIONNIARE No of Items Total Possible Mean SD
Feelings about being an athlete I cannot imagine what I will be like when I am no longer competing
5
25
16.3
3.5
The athlete’s body and sports I would be more successful in my sport if my body looked better and I
often wish I were leaner so I could perform better
12
60
41.1
9.4
Feelings about performance No matter how successful I am, I never feel satisfied and my parents expect
more of me athletically than I do for myself
7
35
22.8
4.9
Team support It is hard to get close to my teammates because we are constantly competing
against each other
4
20
16.9
2.4
Feelings about one’s body My friends (non-athletes) make me feel I am too fat
6
30
25.2
4.2
Feeling about eating I feel uncomfortable eating in front of my friends
4
20
17.6
4.3

 

Table 3- Correlations between EAT 26 and the ATHLETE questionnaire
Legend: Table 3 shows the Pearson correlation values between EAT 26 and
the ATHLETE questionnaire factors. These four factors in the ATHLETE questionnaire
demonstrated significant Pearson correlation values with EAT 26; feelings about
body and sports; feelings about performance; feelings about your body; and feelings
about eating. These two factors in the ATHLETE questionnaire did not demonstrate
significant Pearson correlation values with EAT 26; feelings about being an
athlete, and team support.

Factors of the ATHLETE questionnaire Pearson Correlation
With
EAT 26
Feelings about being an athlete .139
The athlete’s body and sports -.530**
Feelings about performance -.507**
Team support .127
Feelings about one’s body -.502**
Feeling about eating -.313*

** .01 correlation is significant at the .01 level
*.05 correlation is significant at the .05 level

2016-10-20T14:59:00-05:00November 15th, 2012|Contemporary Sports Issues, Sports Exercise Science, Sports Management, Sports Studies and Sports Psychology, Women and Sports|Comments Off on Female Athletes and Eating Disorders

Investigation of Korean female golfers’ success factors on the LPGA Tour from 1998 to 2007

Abstract

Se Ri Pak is arguably the most famous Korean name ever to play on the LPGA Tour. Ten years after Pak’s debut in 1998, 42 Korean players are now playing on the LPGA Tour. This international phenomenon over the past decade has produced a lot of Korean players and many Korean victories. Nineteen-Koreans have won 64 LPGA Tour events over the past decade. Therefore, the purpose of this study is to analyze the reasons why Korean female golfers have been successful in securing such a dominant position on the LPGA Tour. The survey used in this study was distributed to Korean players who participated in a professional golf event (State Farm Classic Tournament). The results of this study revealed that hard practice, certain goal, and family support were selected as the most important factors to be success on the LPGA Tour by Korean players.

Key words: golf, marketing, consumer behavior, retail

Introduction

With the development of the internet, it is now possible to easily access international newspaper, magazines, blogs, and other media in order to secure news and information
from around the world. For instance, individuals in the United States who are interested in news about Korea and/or its citizens can go to Korean media outlets
and access information about myriad topics concerning Korea. While finding news through Korean media outlets was fairly easy, finding Korean news stories in
American television news programs or cable networks was relatively difficult and uncommon. (Yes, finding information was difficult) When Chan-Ho Park became
the first Korean Major League Baseball (MLB) to be signed by the Los Angeles Dodgers in 1994, and Se Ri Pak, became the first Korean to win the U.S. Open
Tournament and advance to the LPGA (Ladies Professional Golf Association) Tour in 1998, the Korean people could get more news about them through American television
programs or ESPN (Entertainment and Sport Programming Network) cable program. With South Korea’s economy in shambles in 1998, Chan Ho Park and Se Ri Pak gave
encouragement and hope to Korean people. When Chan Ho Park announced the starting pitcher for the L.A. Dodgers’ game or Se Ri Pak would participated in one of
the LPGA Tour tournaments, Korean television programs and big screens in Seoul city aired these game. As Korean people were watching Park and Pak’s victories
for the Major League baseball game and the LPGA Tour tournaments, Korean people felt some sense of satisfaction from them during the difficult Korean recession
period (16). Most Korean people believed that when these two players were signed to go into a major sports league, they would fail, because of differences related
to skill, physicality, culture, language, food, and a host of other potential challenges. However, Park and Pak overcame these supposed problems and were
very successful in their respective sports. The success of Park and Pak gave great hope to the Korean people to also overcome their serious economic problems
in the late 1990s (16). In addition, as Pak in her rookie season on the LPGA Tour collected four victories (including two major tournaments wins), other
Korean female golfers began to complete and eventually join the LPGA Tour.
As a result of the door opened by Pak and the record of her achievements, South Korea now has the largest international contingent on the LPGA Tour (14). One
of the interesting things about the Korean female golfers on the LPGA Tour is that while the Korean players have a large number of victories, they have not
turned out a dominant player since Pak burst on the scene a decade ago with victories in the 1998 McDonald’s LPGA Championship and the U.S. Women’s Open.
Ten years after Pak’s debut in 1998, 42 Korean players (i.e., Se Ri Pak, Mi-Hyun Kim, Grace Park, Shi-Hyun Ahn, Soo Yeong Kang, etc) are now playing on the LPGA
Tour. Every year, Korean female players are increasing on the LPGA Tour. Nineteen-Koreans (i.e., Se Ri Pak, Mi-Hyun Kim, Grace Park, Hee Won Han, Jeong Jang, etc) have
won 64 LPGA Tour events over the past decade. No other professional sports league in the world has as many Korean players. Only a few Korean female handball players
are playing on professional teams in Japan and Europe, and only one basketball player has played for the WNBA (Women’s National Basketball Association). The
numerous Korean players and victories on the LPGA Tour is a unique phenomenon. One may wonder why Korean female players are so prevalent on the LPGA Tour and
so good at the sport of golf. Therefore, the purpose of this study was to analyze the reasons why Korean female golfers have been successful in securing such
a dominant position on the LPGA Tour.

The History of the LPGA and the KLPGA
The Ladies Professional Golf Association (LPGA) Tour is the longest running women’s professional sport association (1). The LPGA Tour was founded in 1950
by 13 members (1). Based on the LPGA Tour history, in its first season, the LPGA Tour hosted 14 tournaments with $50,000 in total prize money. In 1959,
the LPGA Tour included 26 tournaments and played for more than $200,000 in total prize money. The LPGA Tour featured 33 events and prize money of more than $58
million which was the highest ever paid out in LPGA Tour history. The LPGA Tour players competed for an average purse of $1.7 million for the 2008 season (1).
While the LPGA Tour is over a half-century old, the Korean Ladies Professional Golf Association (KLPGA) Tour was founded in 1978. In its first season, the
KLPGA Tour held only one tournament. However, in the 2007 season, the KLPGA Tour hosted 22 tournaments with over $7 million in total prize money. About
1,003 members were registered as active members in 2006, and KLPGA Tour players, such as Se Ri Pak, Mi-Hyun Kim and Shi Hyun Ahn are also playing for the LPGA
Tour (6).

Korean Golf Circumstances

Despite the increasing popularity of golf in the world, golf has not always been a popular sport in Korea. The sport of golf was socially recognized as
a luxury in Korea because most Korean people believed that only wealthy people could participate in golf (8). Koreans have long associated golf with corruption
and greed (2). Government officials with meager salaries could never afford to pay the fairway fees; however they could play golf by receiving bribes (2).
The cost of participating in the sport of golf in Korea is very expensive, at least compared to playing golf in the United States. Compared to golf courses
green fees in the United States, where the average cost of playing an 18-hole is about $36 including cart, Korean golf course green fees are about $140 for
an 18-hole (5). Although Korean golf courses often provide better services than that received at typical golf courses in the United States (i.e., caddies, locker
rooms, saunas, other amenities), spending over $150 for participating in a one-time leisure activity is not easy money to come by for median-low income level people
in Korea. However, the golfing population has gradually increased from the late 1990’s. Shin and Nam (16) posit that since 1998, the number of Korean golfers
is gradually increasing because of the economic downturn in Korea which has forced golf courses to decrease membership and green fees. In 2004, there were
approximately 176 golf courses in Korea. According to Korea Golf Index (7), golf participation population was about 2.5 million.

Korean LPGA Tour Players

Ok Hee Ku is a pioneer of Korean women’s golf. She won 19 tournaments in Korea since 1980 and won 23 international tournaments since 1985. Ok-Hee Ku has mostly
played in Korea and Japan. Ok-Hee Ku was the first Korean winner on the LPGA Tour. She won at the 1998 LPGA Standard Register Turquiose Classic Tournament.
She had the record of the most wins in a single season until it was broken by Ji Yai Shin in 2007 (13). Woo-Soon Ko was the first player who won twice on
the LPGA Tour. She won at the Toray Japan Queen Cup in both 1994 and 1995 (17). Ten years later, Ok-Hee Ku won on the LPGA Tour, Se Ri Pak advanced to the LPGA
Tour and won two major tournaments (U.S. Women’s Open and LPGA Championship) and won two other tournaments during her rookie season. Pak won total 24 tournaments
on the LPGA Tour and six victories on the KLPGA Tour since 1996. In addition, Pak was inducted into the World Golf Hall of Fame in 2007. After Pak advanced
to the LPGA Tour, other Korean female golfers were also challenged to join the LPGA Tour because they gained confidence watching Pak’s successful entry into
the professional tournaments. Largely because of Pak’s achievements, South Korea now has the largest international contingent on the LPGA Tour. Ten years after
Se Ri Pak’s debut, 42 Korean players (not counting Korean-American women like Christina Kim or Michelle Wie), which is 23% of total players (179 LPGA players)
and 50% of international players from Korea in 2007 season, are playing on the LPGA Tour. Nineteen Koreans have won 57 LPGA Tour events, but 44 of those were
from four players: Pak (24), Mi Hyun Kim (eight), Grace Park (six) and Hee-Won Han (six) (18). From 1998 to 2007, five Korean players were named as Rolex Rookie
of the Year including Se-Ri Pak, Mi-Hyun Kim, Hee Won Han, Shi Hyun Ahn, and Seon Hwa Lee. Only three American players, one Mexican, and one Brazilian player
were named Rookie of the Year.

REVIEW OF LITERATURE

Determining the success factors of Korean players on the LPGA Tour has not been easily accomplished. Shin and Nam (16) tried to explain the social structural
of Korean golfers’ success. They studied the golfing boom in Korea, Korean family structure, the goal-oriented nature of Korean people, the Korean psyche, and
other possible factors for success. One of the interesting issues was coming from Shin and Nam’s study related to the Korean family structure. According
to These scholars, one of the reasons the Korean players can focus and devote themselves to golf is the close involvement of parents, because Korean family
members usually live together in a single household until the children marry. This lengthy period of living together develops strong and close relationships
between parents and children. As Korean young female golfers come to the U.S. to learn golf or participate in a tournament, their father or mother, or both
of them, come to the U.S. together to fully support them. Therefore, young Korean players can play well and feel comfortable staying with their parents in a foreign
country. Usually, Korean players fathers’ roles are that of coach, caddy, adviser, manager or driver during the season. Their mothers are doing such things as
cooking Korean food or doing laundry for their daughter.
Lee, Kim, and Lee (9) credited factors such as Korean parents’ passion for education for their children, corporate sponsorships of players, and early golf education
as the sources of Korean female golfers’ successes on the LPGA Tour. Lee, et al. (9) explained that getting corporate sponsorships for players is one of
the most important factors in playing golf well on the Tour. According to Norwood (12), golfers need a minimum of $150,000 a year to play on the PGA Tour, $100,000
for the Champions Tour which is for Senior players, $75,000 for the LPGA Tour, $55,000 for the Nationwide Tour which is the developmental tour for the PGA
Tour. However, international players need at least $100,000 to play on the LPGA Tour because of international flight fares, staying at hotels and eating food
with their parents, tutoring in English, and other expenses. For example, an LPGA Tour player normally needs about $2,000 for travel, hotels, and meals per
event. In addition, a player should pay at least $1,000 for the first two rounds to her caddie. If a player makes the cut and plays three and four rounds of
the event, she needs to pay more to the caddie. Then, a player needs at least $5,000 to break-even for the event after receiving prize money and taxing. If
a player plans to participate in 20 events per year, she needs about $100,000 for the season. Therefore, players need to get corporate sponsors to be able
to play well on the LPGA Tour under stable financial conditions.
Recently, another study examined the success factors of Korean female professionals on the LPGA Tour. Ramstad (14) believed that hard practice, a passion for golf,
and family structures have led to Korea’s having the world’s best women golfers. In addition, Korean government’s elite sport system for young athletes and strong
spiritual strength are major reasons for their success on the LPGA Tour (9,11). A number of researchers have also suggested that culturalism, spiritual strength,
and sport globalization are added factors to the success (3,10). Korean LPGA Tour golfers had strong mental power and more confidence rather than do any
other LPGA players (9). Lee et al., (9) looked at a socio-cultural analysis on the success of Korean players on the LPGA Tour and Shin & Nam (16) looked
at the case of Korean players on the LPGA Tour as approaching to socio-cultural issues such as gender roles, culture, and sport. Lee et al., (9) anticipated
factors such as Korean parents’ passion for education for their children, corporate sponsorships of players, and early golf education as the sources of Korean female
golfers’ successes on the LPGA Tour, but never before has been studies to approach to experimental studies about the success factors of Korean LPGA players. This
research will be asked one question to Korean LPGA players that what is/are the most important factor/s to survive on the LPGA Tour. Therefore, the purpose
of this study is to analyze the reasons why Korean female golfers have been successful in securing such a dominant position on the LPGA Tour..

METHODS

Sample and data collection
In order to accomplish the goals of this study, there was a need to secure the involvement of Korean players on the LPGA Tour. Therefore, this study was conducted
in Springfield, IL, where the 2007 LPGA State Farm Classic tournament was held. A total of 145 players participated in this tournament. A questionnaire was
distributed to Korean players at the practice putting green and driving range. Twenty-five of 26 potential Korean players at the tournament event participated
in this survey for a response rate of 96%. The golfers who participated in this study were asked to answer one question. A total of 25 out of 26 Korean players
responded and only one player refused to answer a question because of practice. (Total 31 participated in the tournament, not survey. I distributed this questionnaire
to 26 players).

Instrumentation

Based on the review of academic literature (5,9,16) and the accounts in traditional media outlets (i.e., newspapers, magazines) that examined, Korean golfers’ success
factors, a questionnaire was developed that included comprised of 10 factors (hard practice, family support, sponsorship, Korean athlete elite education
system, confidence, turning professional early, the Korean chopstick culture, competitive Korean social circumstance, certain goals, and a passion to play
golf) in one question to find out which factors most influenced Korean players to achieve success on the LPGA Tour. After collection of the data, the analysis
of the results involved frequency counts and descriptive tabulations. For instance, “1” was a hard practice, “2” family support, “3” Sponsorship, “4” Korean elite
athlete system, “5” confidence, “6” Turned professional early, “7” Korean chopstick culture, “8” competitive Korean social circumstance, “9” certain goal, and “10”
passion to golf. The research question was to select the top three reasons why Korean female golfers have been successful in securing such a dominant position
on the LPGA Tour.

RESULTS

The study found that hard practice was the first reason for success on the LPGA Tour. 22 Korean players selected “1” (hard practice) as the top reason for dominating on the LPGA Tour. The second reason from 18 out of 25 Korean players was “9” (certain goals) and 15 players answered that “2” (Family support) was one of the top three reasons for success on the LPGA Tour. Korean players marked “10” (passion for golf) as the fourth reason by players. Four out of 26 players selected “6” (turned professional early). Six Korean players were selected “7” (Korean culture, two players), “8” (competitive Korean social circumstance, two players), and “5” (confidence, two players). Interestingly, only two players marked sponsorship or the Korean Athlete Elite Education System. Therefore, based on these results, sponsorship, Korean Athlete Elite Education System, competitive Korean Social Circumstance, the Korean Chopstick Culture, and confidence were not important factors to success on the LPGA Tour for Korean players. This study suggested that the social phenomenon or Korean culture was not the important factor but rather the individual’s talent or effort (hard practice, certain goal, and passion to golf) to success on the LPGA Tour.

DISCUSSION

Lee et al., (9) anticipated factors such as Korean parents’ passion for education for their children, corporate sponsorships of players, and early golf education as the sources of Korean female golfers’ successes on the LPGA Tour. However, this study found that hard practice, certain goal, and family support are the
most important factors to success on the LPGA Tour. This result described that individual’s skills, efforts, and abilities are more important factors than other factors (i.e., sponsorships, Korean chopstick cultures, or competitive Korean social circumstances).
This study also found that family support was also important factor to success on the LPGA Tour. Shin & Nam (16) also anticipated that family support is the one of the important factor. This result will help to young Korean golfers who are trying to advance to the LPGA Tour. If young Korean female golfers follow
the success factors which were selected by Korean LPGA players who advanced the LPGA Tour since 1998, young Korean female golfers might success easier than ever on the LPGA Tour. As noted above, hard practice, certain goal, and family support were the top three reasons to success on the LPGA Tour.
There are a number of limitations that should be considered when interpreting the results of the study. First this study used only one question to answer. One question to answer might not be generalized on the result. Future study should consider several questions to find the factors. Another limitation of
this study was sample size. This study collected twenty five samples. Total 42 Korean LPGA Tour players were playing for the LPGA Tour in 2007. Therefore, future study should also consider collecting more samples at the LPGA Tour tournaments which is the most Korean players participate in.

CONCLUSIONS

This study was to analyze the reasons why Korean female golfers have been successful in securing such a dominant position on the LPGA Tour. This study found that individual’s skills, efforts, and abilities are more important factors than other factors such as sponsorships, Korean chopstick cultures, or competitive Korean social circumstances.

APPLICATIONS IN SPORT

The significance of these finding is related to the work of sport marketing professionals. With the increasing numbers of Korean female golfers on the LPGA Tour, the LPGA Tour needs to consider Korean players as a marketing strategy. According to Blauvelt (4), the largest percentage of the LPGA Tour TV rights fees came from South Korea. In 1998, the majority of LPGA Tour TV rights came from the U.S. because there had been no Korean players on the LPGA Tour at that time. In addition, the LPGA Tour might consider using a Korean language version online as a way of increasing international traffic, because many Korean fans are visiting the LPGA Tour official website to check Korean players’ stats and information. If the LPGA Tour put products related to Korean players on the online pro shop, the sales of merchandise might greatly increase due to Korean fans. As many Korean players are playing on the LPGA Tour, Korean companies might want to sponsor the LPGA Tour. Before 1998 season, there had been no Korean sponsor on the LPGA Tour. However, since 1998, Cheil Jedang and Samsung (both of which are major corporations in South Korea) took title sponsors for inaugural events and regular tour tournaments. Koron also signed as title sponsor of Koron-LPGA cross-cultural professional development program. This program was designed to help all LPGA Tour players be successful on the LPGA Tour. Therefore, if the LPGA Tour focuses on increasing marketing around Korean players, Korean fans, TV right fees, sponsors, etc will increase and make more revenue for the LPGA Tour.

ACKNOWLEDGEMENTS

None

REFERENCES

  1. About LPGA. (2008). LPGA.com. Retrieved June 6, 2008, from
    www.lpga.com
  2. Baker, M. (1998). Golfer gives weary Korea something to cheer about. Christian Science Monitor, 90(162), p.6.
  3. Bale, J., & Maruire, J.A. (1994). The global sports arena: Athletic talent migration in an interdependent world. London: Frank Cass.
  4. Blauvelt, H. (2003, June 5). Se Ri Pak’s success on LPGA tour inspires countrywomen. USA Today, Retrieved June 6, 2008, from
    www.usatoday.com
  5. Kim, C.R. (2006). The development of proposals to popularize golf as leisure activity in Korea through benchmarking of the U.S. golf cultural characteristics. Journal of Korea Sport Research, 17(5), 375-384.
  6. KLPGA Introduction. (2007). KLPGA.com. Retrieved June 7, 2008, from
    www.klpga.com
  7. Korea Golf Index. (2007). KGAGOLF.or.kr. Retrieved June 5, 2008, from
  8. Kwon, S. (2007). Study on a popularization plan through recognition of Korea’s golf culture. Journal of Korea Sport Research, 18(3), 615-624.
  9. Lee, Y.S., Kim, Y.H., & Lee, C.W. (2004). A socio-cultural analysis on the success of Korean players on LPGA Tour. Journal of Leisure and Recreation Studies, 27, 5-17.
  10. Magee, J., & Sugden, J. (2002). The world at their feet: Professional football and international labor migration. Journal of Sport and Social Issues, 26(4), 421-437.
  11. Mook, H.S. (2008, April 23). The effect of extracurricular work of golf. Ma Il Kyung Jae, Retrieved May 15, 2008, from
    news.mk.co.kr
  12. Norwood, B. (2005, May 30). Backing a Tour pro. Business Week, Retrieved June 8, 2008,
    www.businessweek.com
  13. Ok Hee Ku. (2007). Seoul Sisters.com. Retrieved June 6, 2008, from
    www.seoulsisters.com
  14. Ramstad, E. (2007, April 25). Why Korea makes the world”s best women golfers. The Wall Street Journal, pp. A1, A11.
  15. Seo, J. (2002, October 2). Taylor Made riding high on golf boom in Korea. The Korea Times, p. 9.
  16. Shin, E.H., & Nam, E.A. (2004). Culture, gender roles, and sport: The case of Korean Players on the LPGA Tour. Journal of Sport & Social Issues, 28(3), 223-244.
  17. Sirak, R. (2007, June 20). Pak leads Korean pack. Golf World, Retrieved June 5, 2008, from
    www.golfdigest.com
  18. Stats and News. (2007). LPGA.com. Retrieved June 7, 2008, from

www.lpga.com

 

TABLE 1

The LPGA Rookie of the Year from 1998 to 2007

Year Name Nationality
1998 Se Ri Pak Korea
1999 Mi Hyun Kim Korea
2000 Dorothy Delasin U.S.
2001 Hee Won Han Korea
2002 Beth Bauer U.S
2003 Lorena Ochoa Mexico
2004 Shi Hyun Ahn Korea
2005 Paula Creamer U.S.
2006 Seon Hwa Lee Korea
2007 Angela Park Brazil

 

TABLE 2
Korean players’ success factors on the LPGA Tour


Factors

The total number of times listed(For
your question,
players can select three factors. 22 out of 26 players select “1”.

Hard Practice (“1”) 22
Certain Goal (“9”) 18
Family Support (“2”) 15
Passion to Golf (“10”) 7
Turned Professional Early (“6”) 4
Confidence (“5”) 2
Korean Chopstick Culture (“7”) 2
Competitive Korean Social Circumstance (“8”) 2
Korean Athlete Elite Education System (“4”) 1
Sponsorship (“3”) 1
2020-06-02T11:24:58-05:00November 15th, 2012|Contemporary Sports Issues, Sports Management, Sports Studies and Sports Psychology, Women and Sports|Comments Off on Investigation of Korean female golfers’ success factors on the LPGA Tour from 1998 to 2007

Description of Phases and Discrete Events of the Lacrosse Shot

2014-05-13T14:36:19-05:00August 24th, 2012|Contemporary Sports Issues, Sports Exercise Science, Sports Studies and Sports Psychology|Comments Off on Description of Phases and Discrete Events of the Lacrosse Shot

The Impact of Service Quality and Satisfaction on Customers’ Future Intentions, in the Sport Spectators’ Context

Abstract

This study was aimed to determine the degree to which service quality perceptions and customer satisfaction predict the intentions of repurchase and word-of-mouth communication. Nine hundred and twenty five (N=925) spectators of Greek professional football, participated in the study and completed the SPORTSERV questionnaire, to measure the perceptions of service quality, satisfaction, repurchase intention and word-of-mouth. An alpha reliability analysis of the service quality was conducted, to test the internal consistency of the five dimensions (responsiveness, access, security, reliability and tangibles) as a result they were all in acceptable ranges. Satisfaction was measured by five items. Repurchase intention was measured by two items and word-of-mouth was measured by three items. In order to discover possible relations among service quality, satisfaction and future intentions multiple regression analysis were conducted. The results revealed that service quality and satisfaction predict together a significant proportion of spectators’ repurchase intention (the total percentage of prediction was 51%, R2=.511, p< 0.001) and word-of-mouth communication (the total percentage of prediction was 53.8% R2=.538, p< 0.001). This study supports previous research findings with a focus on the sport spectators’ realm, regarding the general impact of service quality and satisfaction on fans future intentions, however there have been some differences in terms of how the service quality dimensions affect these factors. Moreover, sport managers should use this information as a means to understand the future behavior of sport spectators in order to design marketing strategies so as to retain their customers and attract new ones.

Key words: service quality, satisfaction, repurchases intention, word-of-mouth.

Introduction

Service quality and satisfaction have dominated the bibliography on services and sport services literature (8). For many years sport management focused on service quality and satisfaction, which constituted the two key factors of sport organizations, in order to predict the customer’s desirable behavior. Service quality is an important topic in the marketing literature, since perceptions for service quality are directly related to customer satisfaction and customer retention (1). The need for delivering qualitative services to sport spectators’ area can be achieved, by focusing on the spectators’ needs and paying attention to the quality and operation of well-organized sport facilities (47). According to researchers it is widely believed (e.g. 30, 42) that satisfaction is a very important factor which affects the repurchase intention and word-of-mouth communication and thus influence future behavior (19, 25).

In terms of sports, there is no doubt that football is an individual case in the spectrum of sports. This is because of its global popularity, the large number of dedicated fans who clearly identify with the sport as well as the incredible amount of financial investments provided by private enterprise, sponsors and investors (37). Let’s not disregard the nominal profits this sport accumulates.

As far as Greek football is concerned, we can undoubtedly identify specific particularities within the sport (40). For example it is obvious that the overwhelming enthusiasts tend to become quite obsessive and identify with their teams in a personal level. The fans really take it to heart to such an extent that this can lead to friction violence and chaos in the stadium. It should be pointed out that in recent years it has been forbidden for fans to attend matches away from home in order to prevent these violent kinds of outbreaks in the stadiums (52).

The relationships among service quality satisfaction and future intentions are well established in the services area and there is enough evidence to support these relationships in the sport spectrum and the sport spectators’ area as well. Many scholars investigated these relationships and they found that service quality and satisfaction are directly related to customer’s future intentions (8, 30 and 43). However, there is limited information concerning these relationships in the realm of football especially in the Greek region where there is no data available whatsoever.

This study aims to investigate the relationships among service quality, satisfaction and future intentions in sport spectators’ area and particularly within professional football in the Greek spectrum.

Review of literature

Service Quality

In the modern era the continuously increasing competition in the service sector led managers to re-define their strategy to acquire advantages over their competitors and to focus their attention on service quality (16, 35 and 51). The first theoretical approach for quality of services was based on the “disconfirmation paradigm” (16, 34). According to this theory, the quality of services is resulted from a process of comparison of expected performance with the perception for the real performance as it was initially prescribed by Gronroos (15-16). It is has also been suggested that quality can be considered as a personal perception regarding superiority and perfection of a given product or a service (48).

The measurement of service quality has always been a controversial issue. The first instrument for measuring service quality was developed by Parasuraman et al. (1988) and Gronroos (1984). Parasuraman et al. (1988) proposed the five-dimensional SERVQUAL model, while Gronroos (1984) proposed a three-dimensional model. Many other models were developed in the following years along the range of the marketing industry. However, despite the fact that it has been criticized in terms of its applicability across different industries, the SERVQUAL model is the most popular one in the literature (1). Based on SERVQUAL, Theodorakis and Alexandris (2008) developed the five-dimensional SPORTSERV scale for measuring service quality in the sport spectator context. The five dimensions of SPORTSERV scale are “responsiveness,” “access,” “security,” “reliability,” and “tangibles.”

The conceptualization and measurement of service quality remain controversial topics in the services marketing literature (4). However, the vast majority of scholars agree to the importance and the effects of service quality (4, 9). Zeithaml (1988) mentioned that delivery of quality services is a precondition for success. Kelley and Turley (2001) claim that service quality is vital for the survival and the success of sports, while Cronin and Taylor (1992) considered service quality as a key-strategy for the service providers to be placed more effectively in the market.

Satisfaction

Satisfaction has been widely researched and analyzed in great depth in the last four decades (13, 17, 44 and 49). It’s one of the most favored subjects in the services literature in previous decades (11, 20, 32 and 33), as well as in recent times (5, 14, 17, 38 and 43). As for satisfaction, there have been a lot of definitions which show that there are many different perceptions, opinions and arguments among the researchers who deal with the particular subject, regarding the nature and the elements of satisfaction. In the commercial enterprising terminology, satisfaction is reported as a dimension that measures how the products or the services that are offered by a provider satisfy or even exceed the expectations of customers (25).

In the sports context, Oliva et al. (1992) found that sports fans reach some level of satisfaction that is experienced from the follow-up of an athletic act, through the frame “expectation-disconfirmation”. The frame “expectation – disconfirmation”, based on the significance that the satisfaction level is determined by the degree in which the initial customers’ expectations is achieved or is not achieved by the evaluated service. Alexandris et al. (2004) noted that regardless of the disagreements and differences in conceptualizing satisfaction, it is acceptable that satisfaction is a post-choice evaluative judgment and refers to consumer fulfillment. According to Jahanshahi et al. (2011) most definitions for satisfaction share some common elements: a) consumer satisfaction is a cognitive or emotional response, b) this response refers to a particular focus (expectations, product, consumption experience, etc.), c) the response occurs at a particular time (after consumption, after choice, based on accumulated experience, etc.). Customers’ satisfaction is critical in the sports industry, where the sport organizations focus on the needs and wishes of their customers, in order to achieve their objectives (25). Many researchers have concluded that satisfaction affects customers’ repurchase intention and word-of-mouth communication. Therefore such elements are vital for the success of the sport organizations (e.g., 12, 25).

Repurchase Intention

The repurchase intention refers to the consumers’ tendency to buy products or services from the same company or the same organization that provide services (8, 48 and 51). Similarly, according to Hellier et al. (2003) the repurchase intention is the process of purchasing a product or a service from the same company based on a previous experience which undoubtedly was satisfying.

Word-of-Mouth Communication

Word-of-mouth communication is a process in which consumers that have used a product or a service, communicate their experience through word-of-mouth, to consumers planning to buy the product or the service (25). Positive word-of-mouth is reported to be the informal communication among consumers with regard to the evaluations of products or services, particularly when the evaluations are positive and include recommendations to others to proceed in similar purchases (2). Consequently, in contrast to other external promotional strategies used by a sport organization, positive word-of-mouth that includes recommendations, is more important and has a stronger impact on customer’s attitudes and future behavior (18, 25).

Relations among service quality, satisfaction and future intentions

Customer’s future intentions and their decisions to repurchase a service and to indulge in positive word-of-mouth, depends often on a complete evaluation of service and supplier, based on the experience of multiple transactions of services with the given supplier (5, 10). Many researchers determined various factors that influence these intentions. The environment where the service is provided or the facility and its qualitative features have a significant influence on the repurchase intention, as they affect the total experience and satisfaction (5, 14, 25, 28, 38, 43 and 45). Similar results also have been found in other studies, where the researchers paid a lot of attention to the environment and quality of services in facilities (13, 46 and 49), as well as the responsiveness of the personnel (13, 43). Other researchers found in their studies that the most powerful factor that leads to behavioral intentions is satisfaction (7, 30 and 36). Matsuoka et al. (2003) also asserted that satisfaction predicts the repurchase intention. Yoshida et al. (2010) mentioned that satisfaction can create long term profits for sport organizations, including positive word-of-mouth, parallel markets and enhancing the customers’ loyalty. In the sport spectators’ context, satisfaction has been considered as an important feature of predicting customer’s intentions when it comes to attending future sporting events (8, 46). The researchers in the area of services marketing, propose that the spectator’s perceptions for the core product and the secondary services (as an example in the sport spectators area), can coexist as precedents to customer’s satisfaction and their behavioral intentions (35). Other studies (22, 26, 29 and 39), noted that satisfaction is a basic factor, but is only one of the many variables that can influence the future intentions of customers. Kuo et al. (2009) mentioned that service quality positively influences satisfaction; therefore satisfaction positively influences future intentions. They also stated that service quality has an indirect positive effect on repurchase intention through customer satisfaction or perceived value. However, it must be noted that other researchers found that there is a direct link between service quality and future intentions (3, 51).

Although the relationships among service quality, satisfaction and future intentions, are well established in the services area, there is limited evidence regarding these relationships in the sport services area (30). This study, aims to investigate the relationships among the above mentioned factors in the sport spectators area, especially in the area of Greek professional football.

The purpose of this study was to determine the degree to which service quality perceptions and customer satisfaction predict repurchase intentions and word-of-mouth communication. It was hypothesized that service quality and satisfaction would have a strong impact and predict repurchase intentions and word-of-mouth communication.

Methodology

Sample

Nine hundred and twenty five (N=925) football spectators participated in the study. These spectators were attending games of Greek professional football in six different stadiums in Greece. The majority of the spectators were males (80%), single (46.8%), full time employed (52.3%) and aged between 26-35 years old (29.9%). Their educational level was mostly secondary education (40.7%) and university graduates (36.6%). The majority of spectators were of low annual income (39.7% less than 12.000 € per year).

Instrumentation

A modified version of the (SPORTSERVE) questionnaire proposed by Theodorakis et al. (2008) was used that was previously validated and determined to be reliable, in measuring service quality, satisfaction, repurchase intention and word-of- mouth communication for Greek sports spectators. Twenty two items measured service quality. More specifically five items were used to measure “Responsiveness” (e.g. “The stadium personnel has always the willingness to help me”); five items were used to measure “Access” (e.g. “Access to the stadium is easy”); four items were used to measure “Security” (e.g. “I feel secure in the stadium during the game”); four items were used to measure “Reliability” (e.g. “The football club keeps their promises”) and four items were used to measure “Tangibles” (e.g. “My seat in stadium is comfortable”). Five items were used to measure satisfaction (e.g. “I am satisfied with my decision to watch the game”). Two items were used to measure repurchase intentions (e.g., “How possible is to continue watching games of your favorite team in this stadium in the future?”) and three items were used to measure word-of-mouth (e.g., “How possible is it to encourage your friends to come and watch football games in this stadium?”). All, answers were given on a 7-point Likert scale ranging from 1 (Very strongly Disagree) to 7 (Very strongly agree) and referred in previous games.

Data collection

A stratified sampling procedure ensured that the sample was representative of the population measured. Spectators were randomly selected and completed the questionnaires voluntarily. Questionnaires were distributed inside the stadiums and were completed prior to the start of the games. The research had been conducted from September 2010 until March 2011.

Statistical analysis

Reliability analyses (Cronbach’s alpha) tested the internal consistency of the service quality dimensions, satisfaction, and repurchase intention and word-of-mouth communication in the context of the football spectators. Multiple regression analyses were used to investigate the impact of service quality and satisfaction to the prediction of repurchase intention and word-of-mouth communication.

Results

The internal consistency of the five dimensions of service quality (“Tangibles”, “Responsiveness”, “Access”, “Reliability” and “Security”), satisfaction and future intentions (repurchase intention and word of mouth communication) was measured by Cronbach’s alpha reliability and the results are depicted in Table 1.

Table 1

Cronbach’s alpha reliability for Service Quality, Satisfaction and Future Intentions

Factor M S.D. Items Cronbach’s Alpha
Service Quality Tangibles 4.31 1.41 4 .923
Responsiveness 4.47 1.63 5 .927
Access 4.40 1.53 5 .892
Reliability 4.67 1.56 4 .925
Security 4.70 1.62 4 .915
Satisfaction Satisfaction 5.08 1.60 5 .924
Future Intentions Repurchase intention 5.68 1.62 2 .873
Word of mouth 4.61 1.73 3 .879

The analysis indicated high reliability for all five service quality components satisfaction and future intentions.

Descriptive statistics

The findings indicated that people weren’t so happy with “tangibles” (M= 4.31), “responsiveness” (M= 4.40) and “access” (M= 4.47). More positive compared to the previous, was the perception regarding “security” (M=4.70) and “reliability” (M=4.67). People also declared being somewhat satisfied (M=5.08). They also stated that they were very likely to continue watching games at the specific stadium (M= 5.68), but not as much likely to be involved in word-of-mouth communication (M= 4.61).

Regression Analyses

Two separate multiple regression analyses were performed in order to test the degree to which service quality and satisfaction could predict repurchase intention and word-of-mouth communication. In both regression analyses the five service quality dimensions and satisfaction were set as the independent variables, whereas the repurchase intention and word-of-mouth communication as the dependent ones. Service quality contributed significantly (F = 65,698, p< 0.001) and predicted a significant proportion (26.3%) of the variance of the repurchase intention. However, it is worth noting that only “reliability” (t=7,327, p<0.001), and “access” (t=2.395, p<.05), offered a significant contribution. “Responsiveness”, “security” and “tangibles” were not included within the predictors. Satisfaction also contributed significantly (F= 463,835, p< 0.001) and predicted another 24.7% of the variance of the dependent variable. The total percentage of prediction was 51% (R2= .511, p< 0.001). The results for repurchase intention are presented in Table 2.

Table 2

Multiple Regression, Model Summary for Repurchase Intention

Factor B t p
Service Quality Responsiveness -.027 -.881 .379
Access -.070 -2,395 .017
Security .022 .678 .498
Reliability .235 7,327 .000
Tangibles .016 .504 .615
Satisfaction Satisfaction .579 21,537 .000

As far as word-of-mouth communication is concerned, service quality contributed significantly (F=97,826, p< 0.001) and predicted a significant proportion (34.4%) of the variance of the dependent variable. Of the five dimensions of service quality, this time four offered significant contribution (“responsiveness”, (t =2,514, p< 0.05); “security”, (t =3,016, p < 0.05); “reliability”, (t = 6,199, p< 0.001) and “tangibles” (t = 2,787, p< 0.05). “Access” was not included within the predictors. Satisfaction contributed significantly (F=387,699, p< 0.001) and predicted another 19.4%, of the variance of the dependent variable. The total percentage of prediction was 53.8% (R2= .538, p< 0.001). The results for word-of-mouth communication are presented in Table 3.

Table 3

Multiple Regression Analysis, Model Summary for word-of-mouth

Factor B t p
Service Quality Responsiveness .074 2,514 .012
Access -.044 -1,557 .120
Security .095 3,016 .003
Reliability .193 6,199 .000
Tangibles .085 2,787 .005
Satisfaction Satisfaction .513 19,690 .000

Discussion and Conclusions

The purpose of this paper was to determine the degree to which service quality and customer satisfaction predicts repurchase intention and word-of-mouth communication in the sport spectators’ context and especially in professional football. The results supported the research hypothesis, which service quality and satisfaction have an influence and can predict both repurchase intention and word-of-mouth communication in professional football. Based on the results, it can be argued that satisfaction is the most influential factor, especially regarding repurchase intentions. These results confirm the findings from other researchers in the services area (8, 33, 36, 43 and 48). However, the results gave an interesting view for the service quality role towards future intentions. In terms of repurchase intentions, only “reliability” and “access” seem to have a significant impact, while the total percentage of prediction was 26.3%. Surprisingly enough, the influence of “security”, “tangibles” and “responsiveness” were not significant which is an issue that needs further investigation. Theodorakis et al. (2008) found similar results, although in his research “responsiveness” had a significantly weak impact statistically, on repurchase intention. On the other hand, service quality has a closer relation with word-of-mouth communication, given that four out of five dimensions (reliability, tangibles, responsiveness and security) had a statistically significant impact and they predicted 34.7% of the word-of-mouth total variance. Studies in the marketing literature reported that service quality perceptions (3, 51) directly connected to repurchase intention and word-of-mouth communication. The results of the present study provide support for this report. Trying to interpret these findings, we can argue that the nature of sport services and its features create this form. Service quality components relate closely to word-of-mouth communication, but they have a weak relation in correlation with the repurchase intention, whereas on the other hand satisfaction seems to play a more significant role (8, 43 and 48). Given that we have had serious violence phenomena in Greek football recently, it was a surprise that “security” does not affect spectators’ repurchases intention. That might have happened because security might be considered as a problem only in specific matches, where the result of games is very important, and/or the rival teams are located in the same city. It must be noted that fans of the opposite team are not permitted by the Greek law to follow their favourite team when they play away from home. Also, it was not expected that “responsiveness” would not have a significant impact on the repurchase intention.

In summary, this paper has a theoretical value, as it confirms findings from researches in the services area (12, 30 and 36), and enhances the knowledge regarding the service quality, satisfaction and behavioral intentions cycle in the area of sport spectators, particularly in professional football.

Applications in sport

The practical implications are also important, as the sport organizations are struggling to get a competitive advantage and gain a good position in the market. The results of the present study have practical implications especially for sports managers in sport spectators’ area who aim to encourage their customers to attend more often.

In this effort repurchase intention and word-of-mouth communications are considered as vital factors. This indicates that service quality and satisfaction have a very strong impact on both repurchase intentions and word-of-mouth communication, so managers should bear in mind the contemporary needs of today’s spectators in an effort to please them. In other words, sport managers should develop appropriate marketing strategies and invest in quality of services and satisfaction. From a managerial point of view, since managers lack control of the core product, they should try to improve all the secondary services. In terms of service quality, they should emphasize first on “reliability” and then on “tangibles”, “responsiveness” and “security”. “Access” was considered as an important factor for repurchase intention but not for word-of-mouth communication.

As far as Greece is concerned, the fact is that access is already a big problem in the daily routine in Greek cities, so people mind considering this as an extra problem. However, access issues are not going to improve as long as the stadiums are located in the center of densely populated areas.

On the other hand, spectators’ satisfaction is the most influential factor and is very important particularly for repurchase intention. These findings support the results of previous studies that a satisfied spectator is very much likely to proceed in repurchase actions (e.g. 25, 27 and 43). Managers have to put a lot of their efforts on satisfying their customers, because consumers’ satisfaction is the most crucial factor for future behavior.

In conclusion, the present study in the context of professional soccer provided evidence that,

  1. the relationship between service quality and spectators’ repurchase intentions is weak and limited to the dimension of reliability and access only
  2. the relationship between service quality and spectators’ word-of-mouth communication is very strong,
  3. satisfaction has a strong relationship with both repurchase intention and word-of-mouth communication.

Limitations and future research

The present study collected data from Greece’s professional football. As the cultural diversities might influence the conclusions of each study, it would be useful to have evidence from different countries. Thus, cross-cultural research should be conducted in the future and help practitioners and academics to better understand the similarities and differences in the behavioral patterns of football fans internationally.

Finally, along with service quality and satisfaction, future research should incorporate other factors and dimensions that have been shown to significantly predict the spectator’s behavior, such as those of value, loyalty, motives and brand associations.

References

  1. Alexandris, K., Zahariadis, P., Tsorbatzoudis, C., &Grouios, G. (2004). An Empirical Investigation into the Role of the Outcome Dimension in Measuring Perceived Service Quality in a Health Club Context. International Journal of Sport Management, 5, 281-294.
  2. Anderson, E.W. (1998). Customer satisfaction and word of mouth. Journal of Service Research, 1, 5–17.
  3. Baker, D., & Crompton, J. (2000). Quality, satisfaction and behavioural intentions. Annals of Tourism Research, 27, 785-804.
  4. Brady, M. K., & Cronin, J.J. (2001). Some new thoughts on conceptualizing perceived service quality: A hierarchical approach. Journal of Marketing, 65 (3), 34–49.
  5. Caro, L. M., & Garcia, J.A.M. (2007). Consumer satisfaction with a periodic reoccurring sport event and the moderating effect of motivations. Sport Marketing Quarterly, 16(2), 70-81.
  6. Cronin J.,& Taylor S. A. (1992). Measuring Service Quality: A Reexamination and Extension. Journal of Marketing, 56, 55-68.
  7. Cronin, J., & Taylor, S. A. (1994). SERVPERF versus SERVQUAL: Reconciling performance-based and perceptions-minus-expectations measurement of service quality. Journal of Marketing, 58 (1), 125–131.
  8. Cronin J., Brady M., &Hult T. (2000). Assessing the Effects of Quality, Value, and Customer Satisfaction on Consumer Behavioral Intentions in Service Environments. Journal of Retailing, 76 (2), 193-218.
  9. Dabholkar, P., Thorpe, D.I., &Rentz, J.O. (1996). A measure of service quality for retail stores. Journal of the Academy of Marketing Science, 24, 3–16.
  10. Danaher, P.J., & Mattsson J. (1994). Customer satisfaction during the service delivery process. European Journal of Marketing, 28 (5), 5-16.
  11. Disney J. (1999). Customer satisfaction and loyalty: the critical elements of service quality. Total Quality Management, 10 (4 &5), 491-497.
  12. Ferrand Α., Robinson L., & Valette-Florence P. (2010). The Intention tο Repurchase Paradox: A Case of the Health and Fitness Industry. European Journal of Sport Management, 24, 83-105.
  13. Greenwell, T.C., Fink, J.S., &Pastore, D.L. (2002). Perceptions of the service experience: Using demographic and psychographic variables to identify customer segments. Sport Marketing Quarterly, 11, 233–241.
  14. Greenwell, T.C., Lee, J., &Naeger, D. (2007). Using the critical incident technique to understand critical aspects of the minor league spectator’s experience. Sport Marketing Quarterly, 16(4), 190-198.
  15. Gronroos, C. (1982). An Applied Service Marketing Theory. European Journal of Marketing, 16(7), 30–41.
  16. Gronroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18, 36-44.
  17. Ha H.Y., Janda S. &Muthaly S., K. (2010). A new understanding of satisfaction model in e-re-purchase situation. European Journal of Marketing, 44 (7/8), 997-1016.
  18. Harrison-Walker, L. J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research, 4 (1), 60–75.
  19. Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customers repurchase intention: A general structural equation model. European Journal of Marketing, 37 (11/12), 1762–1800.
  20. Hernon, P., Nitecki D., & Altman E. (1999). Service Quality and Customer Satisfaction: An Assessment and Future Directions. The Journal of Academic Librarianship, 25(1), 9-17.
  21. Jahanshahi A., A., Gashti M., A., H ,Mirdamadi S., A., Nawaser K., &Khaksar S., M., S.(2011).Study the Effects of Customer Service and Product Quality on Customer Satisfaction and Loyalty. International Journal of Humanities and Social Science, 1 (7), 253-260.
  22. Jones, T.O., & Sasser, W.E., Jr. (1995). Why satisfied customers defect. Harvard Business Review, 73(6), 88–99.
  23. Kelley S. W.,& Turley L.W. (2001). Consumer perceptions of service quality attributes at sporting events. Journal of Business Research, 54, 161– 166.
  24. Kuo Y.F., Wub C.M., & Deng W.J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behaviour, 25, 887–896.
  25. Lambrecht K. W., Kaefer F., & Ramenofsky S.D. (2009). Sportscape Factors Influencing Spectator Attendance and Satisfaction at a Professional Golf Association Tournament. Sport Marketing Quarterly, 18 (3), 165-172.
  26. Liljander, V., &Strandvik, T. (1995): The Nature of Customer Relationships in Services. Ad42ces in Service Marketing and Management, 4, 141-167.
  27. Matsuoka, H., Chelladurai, P., &Harada, M. (2003). Direct and indirect effects of team identification and satisfaction on intention to attend games. Sport Marketing Quarterly, 12, 244–253.
  28. Mc Donald H., & Stavros, C. (2007). A definition analysis of lapsed season ticket holders: A consumer and organizational study, Sport Marketing Quarterly, 26 (4), 218-229.
  29. Mittal, B., &Lassar, W.M. (1998). Why do customers switch? The dynamics of satisfaction versus loyalty. The Journal of Services Marketing, 12 (3), 177-194.
  30. Murray, D., &Howat, G. (2002). The relationship among service quality, value, satisfaction, and future intentions of customers at an Australian sports and leisure centre. SportManagement Review, 5, 25–43.
  31. Oliva, T. A., Oliver, R.L., & Macmillan, I.C. (1992). “A catastrophe model for developing service satisfaction strategies”. Journal of Marketing, 56(3), 83-95.
  32. Oliver, R. (1981). Measurement and evaluation of satisfaction process in retail settings. Journal of Retailing, 57, 25-48.
  33. Oliver, R. (1997). Satisfaction: A behavioral perspective on the consumer. McGraw Hill.New York.
  34. Parasuraman, A., Zeithaml, V.A. & Berry, L.L. (1988). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64(1), 13-40.
  35. Parasuraman, A., Zeithaml, V.A. Berry, L.L. (1994). Alternative Scales for Measuring Service Quality: A Comparative Assessment Based on Psychometric and Diagnostic Criteria. Journal of Retailing, 70(3), 201-230.
  36. Patterson, P. G., &Spreng, R.A. (1997). Modelling the relationship between perceived value, satisfaction, and repurchase intentions in a business-to-business, services context: An empirical examination. International Journal of Service Industry Management, 8 (5), 414-434.
  37. Pritchard, M.P.,& Funk, D. (2010). The formation and effect of attitude importance in professional sport. European Journal of Marketing, 44(7/8), 1017-1036.
  38. Ross, S. D. (2007). Segmenting sport fans using brand associations: A cluster analysis. Sport Marketing Quarterly, 16(1), 15-24.
  39. Sharma N., & Patterson, P., G. (2000). Switching costs, alternative attractiveness and experience as moderators of relationship commitment in professional, consumer services. International Journal of Service Industry Management, 11 (5), 470-490.
  40. Theodorakis, N., Vlachopoulos, S., Wann, D., Afthinos, Y. &Nassis, P. (2006). “Measuring team identification: translation and cross-cultural validity of the Greek version of the sport spectator identification scale”. International Journal of Sport Management, 7 (4), 506-522.
  41. Theodorakis,Ν.,&Alexandris,Κ. (2008). Can service quality predict spectators’ behavioral intentions in professional soccer? Managing Leisure, 13, 162–178.
  42. Theodorakis, N., Koustelios, A., Robinson, L., Barlas A. (2009). Moderating role of team identification on the relationship between service quality and repurchase intentions among spectators of professional sports. Managing Service Quality, 19 (4), 456-473.
  43. Tsuji, Y., Bennett, G., & Zhang, J., (2007). Consumer satisfaction with an action sports event. Sport Marketing Quarterly, 16(4), 199-208.
  44. Van Leeuwen L., Quick S., & Daniel K., (2002). The Sport Spectator Satisfaction Model: A Conceptual Framework for Understanding the Satisfaction of Spectators. Sport Management Review, 5, 99–128.
  45. Wakefield, K. L., (1995). The pervasive effects of social influence on sporting event attendance. Journal of Sport and Social Issues, 19(A), 335-351.
  46. Wakefield K. L., Blodgett J. G. (1996). The effect of the servicescape on customers’ behavioral intentions in leisure service settings. Journal of Services Marketing,10 (6), 45-61.
  47. Walker M., &Stotlar, D. (1997). Sport Facility Management. Jones and Bartlett Publishers, Inc.USA.
  48. Wang Y., Lo, H. P., Yang, Y. (2004). An integrated framework for service quality, customer value, satisfaction: Evidence from China’s telecommunication industry. Information Systems Frontiers, 6(4), 325–340.
  49. Yoshida M., James J., D. (2010). Customer Satisfaction with Game and Service Experiences: Antecedents and Consequences, Journal of Sport Management, 24, 338-361.
  50. Zeithaml, V. A. (1988). Consumer perceptions of price, quality and value: a means-end model and synthesis of evidence. Journal of Marketing, 52, 2-22.
  51. Zeithaml, V. A., Berry, L. L., &Parasuraman, A. (1996). The behavioural consequences of service quality. Journal of Marketing, 60, 31–46.
  52. The 11+1 points of new athletic law (2011). Retrieved December 21,2011, from http://www.soccerplus.gr/article/ta-111-simeia-kleidia-toy-neoy-athlitikoy-nomoy

Corresponding Author

Yanni Thamnopoulos
Aggelopoulou 46, TK 54352,
Thessaloniki, Greece
yathamno@gmail.com
+00306948943841

Author Biographies

Yanni Thamnopoulos

Candidate PhD of Department of Physical Education and Sport Sciences in Democritus University of Thrace.

George Tzetzis

Associate Professor of Department of Physical Education and Sport Sciences in Aristotle University of Thessaloniki.

Sakis Laios

Professor of Department of Physical Education and Sport Sciences in Democritus University of Thrace.

2017-08-03T10:44:47-05:00June 15th, 2012|Contemporary Sports Issues, Sports Facilities, Sports Management|Comments Off on The Impact of Service Quality and Satisfaction on Customers’ Future Intentions, in the Sport Spectators’ Context
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