Journal of Sport Management, 2012, 26, 177-191 © 2012 Human Kinetics, Inc. Toward Team or Player? How Trust, Vicarious Achievement Motive, and Identification Affect Fan Loyalty Shih-Hao Wu, Ching-Yi Daphne Tsai, and Chung-Chieh Hung National Kaohsiung First University of Science and Technology This study extends literature on the effects of fan identification on fan loyalty, and antecedents that trigger such effects. This study incorporates trust, a key relationship marketing construct, in the sport industry. The relationship between trust and two other critical antecedents of sport fan loyalty, identification and vicarious achievement motive, is examined from the perspectives of both fan-player and fan-team. The results show that antecedents from distinct perspectives influence loyalty differently. Team identification (fan-team level) is the major determinant of fans’ repatronage intention, with trust in the team as the key driver. However, player identification (fan-player level) has an indirect effect, which must go through team identification to repatronage intention. Therefore, sport organizations are recommended to invest a substantial part of their resources on activities that generate long-term effects, such as trust in the team and team identification, rather than on short-term strategies such as attracting star players. Loyal customers are considered as the key contributors to organizational profitability and success (Ferrand, Robinson, & Valette-Florence, 2010). In sport, fan loyalty is viewed as the strength of the relationship between a fan’s attitude and repeat patronage and as the enhancement of a team’s competitive advantage (Bee & Kahle, 2006; Funk & James, 2001). This merit has compelled sport organizations to invest increasingly on customer relationship management (CRM) programs (Bauer, Stokburger-Sauer, & Exler, 2008; Park & Kim, 2000), through which they can focus on long-term consumer retention and strengthen customer relationships. The factors that help build fan loyalty have been the subjects of extensive research (Bauer et al., 2008; Funk & James, 2006; Heere & Dickson 2008). Mainstream research focuses on the personal factors influencing fan loyalty, for example, attitude formation and mental associations (Funk, Haugtvedt, & Howard, 2000; Funk & Pastore, 2000; Gladden & Funk, 2002), as well as the motives of sport consumers (McDonald, Milne, & Hong, 2002; Trail & James, 2001; Wann, 1995). Majority of these studies are based on the assumption that such loyalty is built upon a fair game played by the teams or the players. This assumption might neglect the importance of other constructs, for example, trust. Trust, a construct influencing fans’ attitude as well as behavior toward relationship formation, has attracted Wu and Hung are with the Dept. of Marketing and Distribution Management, National Kaohsiung First University of Science and Technology, Kaohsiung City, Taiwan. Tsai is with the College of Management, National Kaohsiung First University of Science and Technology, Kaohsiung City, Taiwan, and the Dept. of Marketing and Distribution Management, Kao Yuan University, Kaohsiung City, Taiwan. minimal attention from researchers in the sport industry (Bee & Kahle, 2006). One of the few exceptions is the study of Wann and Polk (2007) examining the correlation between identification and beliefs in the trustworthiness of others. Trust is an essential element in a long-term relationship (Doney & Cannon, 1997; Hennig-Thurau, Gwinner, & Gremler, 2002), as well as the belief in the exchange partner’s credibility/honesty and benevolence (Ganesan, 1994; Kumar, Scheer, & Steenkamp, 1995). Such belief is aligned with the spirit of sport, which values honesty as the foundation of sport activities and leads fans to expect that cheating is never allowed in any sport activity. Fans are more likely to initiate or maintain a long-term relationship when their expectations of honesty are consistently met. In other words, sport organizations must gain fans’ trust before obtaining their loyalty (Reichheld & Schefter, 2000). To provide an example supporting the said statement, the number of audience in the Chinese Professional Baseball League (CPBL) games dropped by about 50% immediately after the two game fixing scandals that happened in 1997 and 2005. We anticipate that trust is the foundation of fan loyalty and so deserves further investigations. Extant studies discussing factors triggering fan loyalty (Funk, Mahony, & Ridinger, 2002; Mahony, Nakazawa, Funk, James, & Gladden, 2002; Sloan, 1989; Wann & Branscombe, 1993) tend to view distinct objects, for example, the player and the team, to whom fans are loyal on the same level. Such practice is inconsistent with findings in management literature (e.g., Macintosh & Lockshin, 1997; Reynolds & Beatty, 1999). Business researchers have observed that factors from different relationship levels, such as customer-salesperson and customer-firm levels, generate diverse impact on loyalty and should be treated differently (e.g., Iacobucci & Ostrom, 1996; 177 178 Wu, Tsai, and Hung Palmatier, Scheer, Houston, Evans, & Gopalakrishna, 2007; Sirdeshmukh, Singh, & Sabol, 2002). Applying the same concept to the sport context, the role of fans aligns with the role of customers in business settings, whereas the team is a form of an organization. Therefore, the relationships between fan-player and fan-team should not be combined and examined as one. However, to the best of our knowledge, no sport studies have examined the path relationships of both levels simultaneously. Failure to consider such differences may overlook important insights derived from relationships of different levels. Moreover, for this study to better fit into the sport field, we include two well-documented sport constructs in it. Vicarious achievement motive and identification are critical driving forces for fan loyalty (Fink, Parker, Brett, & Higgins, 2009; Laverie & Arnett, 2000; Sloan, 1989; Wann & Branscombe, 1993). By incorporating trust into the study, how would the relationship among these three constructs alter? How do they impact fan loyalty through fan-player and fan-team relationships? These research questions are worthy of being clarified. Therefore, the main purpose of this study is (1) to incorporate trust, the keystone of long-term relationship, to the sport context and to explore the critical antecedents affecting sport fans’ loyalty; (2) to examine empirically the relationships among trust, vicarious achievement motives, and identification in the sport field, as well as the impact these variables have on fan loyalty; and (3) to undertake both fan-player and fan-team aspects and reveal the effects of constructs from both levels on fan loyalty. This paper is organized as follows. Literature review defines and describes the constructs, followed by a proposal of hypotheses for testing. Research methods and data analysis procedures are then presented, followed by the findings and the implications of study. Conceptual Background and Hypothesis Fan Loyalty Loyalty, in the context of sport, is viewed as a commitment to a specific team that is persistent, resistant to change, and influences cognitive thoughts and behavior (Funk & Pastore, 2000; Funk & James, 2006). Prior studies have first identified a number of social factors affecting fan loyalty. Some researchers later looked into the individual aspect and became interested in the formation of the attitude of fans and its relationship to individual factors (Funk et al., 2000; Gladden & Funk, 2002). Our interest is on investigating the effect of psychological factors such as trust, identification, and vicarious achievement motive on fan loyalty. Researchers posit that loyalty is composed of both attitudinal and behavioral components (Jacoby & Chestnut, 1978; Hennig-Thurau, Langer, & Hansen, 2001). There is no consensus on what is preferred between the two perspectives because each explains loyalty in different research contexts. The attitudinal perspective, considered as a process of psychological attachment leading to increased intention to repurchase (Park & Kim, 2000), has been identified in the literature as the key predictor of actual behavior (Ajzen & Driver, 1992; Fujimoto & Harada, 2000). Therefore, repatronage intention, representing the attitudinal perspective, is used to measure fan loyalty. Repatronage intention is defined as the decision made by consumers on whether to purchase a specific product or service from the same company based on their current situation (Hellier, Geursen, Carr, & Rickard, 2003). Repatronage intention has been used to predict actual repatronage behavior and, in most instances, has been a reliable indicator. In sport, fans express their repatronage intention through showing their willingness to attend related events continuously, as well as to repeat purchase of sport activity tickets (Bee & Kahle, 2006) and team-licensed products (Kwon, Trail, & James, 2007). Determinants of Fan Loyalty Identification. In sport, identification refers to “an orientation of the self in regard to other objects including a person or group that results in feelings or sentiments of close attachment” (Trail, Anderson, & Fink, 2000, p. 165–166). Identification has been recognized as a key antecedent of fan loyalty (Sloan, 1989; Wann & Branscombe, 1993), and an important driving force for fans to attend sport events or purchase related products continuously (Fink, Parker, Brett, & Higgins, 2009; Laverie & Arnett, 2000). Researchers frequently adopt the social identity theory (Tajfel & Turner, 1986) to explain the causal relationship between identification and loyalty. According to the social identity theory, people possess both personal identity, which comprises distinctive attributes such as abilities, and social identity, which contains significant group categories such as organizational membership (Tajfel & Turner, 1986). Individuals are inclined to identify with an organization that holds attributes similar to their own self-concept and to commit themselves to actions that support the organization (Cornwell & Coote, 2005; Dutton & Dukerick, 1991). Therefore, identification plays an important role in influencing fans’ willingness to repatronize sport events and products (Trail, Fink, & Anderson, 2003; Wann & Branscombe, 1993). Researchers have recognized four behavioral tendencies of sport fans relating to identification (Campbell, Aiken, & Kent, 2004; Cialdini et al., 1976; Funk et al., 2000). When a team experiences a successful season, fans tend to bask in reflected glory (BIRG) by revealing their association with the winning team by wearing team-identifying apparel and saying “we won” instead of “they won” (Cialdini et al., 1976; Tajfel, 1981). On the contrary, when a team fails, fans are inclined to cut off reflected failure (CORF) by distancing from the unsuccessful team, particularly by avoiding actions that would demonstrate association with the losing team (Funk et al., 2000). Campbell, Aiken, and Kent (2004) observe that fans may react differently from BIRGing and CORFing when faced with a team’s success or failure. Fans may Trust, Vicarious Achievement Motive, and Identification Affecting Fan Loyalty 179 bask in reflected failure (BIRF), referring to trumpeting of one’s association with a team, such as by remaining loyal to its favorite team despite its failures. Fans may also cut off reflected success (CORS), referring to dissociation of oneself from the winning team. How the behavior of fans is categorized is determined by both the performance of the team (win vs. lose) and the response of the fans (stay vs. leave) at a certain point of time. In the current study, the main focus is on BIRGing and CORFing. Furthermore, studies have discussed the objects or points at which individuals form a meaningful psychological connection (Funk & James, 2006). Various points of attachment or identification, including player, team, coach, university, community, sport, and level, have been identified by researchers (e.g., Trail, Robinson, Gillentine, & Dick, 2003). To illustrate, fans are attracted by star players, for example baseball players Alex Rodriguez (A-Rod) of the New York Yankees, Ichiro Suzuki of the Seattle Mariners, as well as David Ortiz of the Boston Red Sox, to participate in activities attended or performed in by these players. In such cases, these star players serve as the objects that fans identify with. Fans likewise attend a game to cheer for their favorite teams, and objects that fans identify with are the teams. However, the main focus of researchers remains solely on team identification (Robinson & Trail, 2005; Robinson, Trail, & Kwon, 2004, Sloan, 1989; Wann & Branscombe, 1993). This may leave out important insights into the effects generated by other points of attachment on fan loyalty. Therefore, the current study looks into the difference between the effect of player identification and the effect of team identification, and both are examined simultaneously on fan loyalty. Team Identification. Team identification is defined as the individuals’ perception of the link between themselves and the sport team, even considering the successes and failures of the team as their personal experiences (Ashforth & Mael, 1989). Researchers suggest that team identification is a useful predictor for sport consumption behavior or intention (Robinson et al., 2004; Sloan, 1989; Wann & Branscombe, 1993). When fans highly identify themselves with a team, they are willing to attend the team’s competitions even during bad seasons to express support (Wakefield & Sloan, 1995). Such behavior tendency caused by identification leads to various positive outcomes, such as intention to purchase teamlicensed apparel (Kwon et al., 2007) and increased event attendance (Bhattacharya, Rao, & Glynn, 1995). Further, researchers have demonstrated that team identification has a positive impact on fans’ consumption intention (Fisher, 1998; Fisher & Wakefield, 1998), as well as plays a strong role in influencing fan loyalty (Wann & Branscombe, 1993). Mahony et al. (2002) also find that strong team identification is necessary for fans to keep coming back. Player Identification. Relatively few studies, compared with team identification, expound on player identification, and they treat such construct as simply another point of attachment for fans (Mahony et al., 2002; Robinson & Trail, 2005; Trail et al., 2003). Researchers define player identification based on the extension of team identification (Trail et al., 2000; Robinson et al., 2004). In the current study, player identification refers to the orientation of the self toward another person which results in close attachment (Trail et al., 2000). In other words, it is the individuals’ perception of the link between themselves and specific players which is interpersonal relationships, and the consideration of the successes and failures of the players as their personal experiences. Player identification has been assumed to influence fans’ consumption intention. Researchers also posit that the attachment to a favorite player can be strong and may influence fan behavior (Mahony, et al., 2002). To illustrate, an increase in attendance is attributed to star players in both U.S. professional baseball and basketball (Gladden & Funk, 2002). Studies also reveal that a more intense attachment to a specific individual leads to consequences that are favored by organizations, such as preventing consumer defections (Liljander & Strandvik, 1995), predicting brand loyalty and willingness to pay (Thomson, MacInnis, & Park, 2005). In other words, a strong attachment to a specific individual, for example, a player, results in fans’ high willingness for repatronage. Moreover, studies in the management literature have examined the effect of similar constructs, such as satisfaction (in an interpersonal relationship level), on loyalty in firm level (Crosby, Evans, & Cowles, 1990; Macintosh, 2007; Palmatier et al., 2007). Satisfaction toward salespeople has been observed to influence customers’ future intention such as their willingness to repurchase from the firm (Crosby et al., 1990). Macintosh (2007) also posited that the relationship quality of interpersonal relationship affects customers’ loyalty to the firm. These findings can be extended to the relationship between player identification and repurchase intention. Therefore, we propose the following: H1: Sport fans’ player identification positively influences the fans’ repatronage intention. H2: Sport fans’ team identification positively influences the fans’ repatronage intention. Apart from the impact on fans’ repatronage intention, the relationship between player identification and team identification requires clarification as well. The respondents in Wann, Tucker, and Schrader’s (1996) study considered player identification or attachment to the players as one of the primary reasons for becoming attached and for continuing to be attached to the team. A study by Hong, McDonald, Yoon, and Fujimoto (2005), which investigates the relationships between identification with the players and the teams, reveals that team identification is positively influenced by fans’ identification with the players. Moreover, studies that examine the relationships among customer-salespeople and customer-firm have discovered that the former relationship can affect the latter because customers perceive the salesperson as an agent of the firm (Iacobucci & Ostrom, 1996; Palmatier et al., 2007; Sirdeshmukh et al., 2002). These findings 180 Wu, Tsai, and Hung are extended to the current study, and the following hypothesis is proposed: H3: Sport fans’ player identification positively influences the fans’ team identification. Trust. Trust is defined as the perception of the credibility and benevolence of one’s partner (Doney & Cannon, 1997), and an essential element in relationship building (Ganesan 1994; Wilson 1995). Researchers in the service literature posit that customers may not know the exact service outcome before or after availing the service because many services contain credence attributes, which refer to customers’ inability to distinguish service performance even after experiencing it (Chiou, Droge, & Hanvanich, 2002; Trawick & Swan, 1981). Therefore, managing customers’ trust is critical for service firms. Sport is considered a type of service in which fans are not capable of discerning if an unethical game is performed on the field. In such case, the extent to which fans trust the team or the player influences their willingness to attend the games or purchase related products. Trust is also expected to play a key role in long-term relationship building between fans and the team, as well as among the players. Trust was first used to explain interpersonal relationships (Rotter, 1967; Schlenker, Helm, & Tedeschi, 1973) and was later expanded to cover organization-related subjects, such as critical influence on organizational behaviors (Morgan & Hunt, 1994). Trust has been used widely to explain the relationship between employees and organizations. For example, identification is strengthened when employees believe that the organizational authorities are trustworthy and are able to carry out obligations of the organization (Restubog, Hornsey, Bordia, & Esposo, 2008). Moreover, the finding of Keh and Xie’s (2009) empirical study, which examines the positive relationship between trust and identification, strongly supports such hypothesis. The aforementioned concepts and evidence can be extended to the current study to explain the relationship between trust in player (team) and player (team) identification. Therefore, we propose that: H4: Sport fans’ trust in player positively influences the fans’ player identification. H5: Sport fans’ trust in team positively influences the fans’ team identification. Vicarious Achievement Motive. Vicarious achievement motive has always been one of the most frequently suggested motives that affect behavior of fans (Mahony et al., 2002; Robinson & Trail, 2005; Trail et al., 2003). According to the social identity theory, vicarious achievement motive refers to the desire to preserve a positive self-concept through the success of an object. To illustrate the idea, sport fans believe that they cannot only feel a sense of personal achievement, but also increase their self esteem when their favorite teams succeed. That is, people attain a feeling of vicarious achievement by being fans (Kimble & Cooper, 1992). For fans who are searching for the fulfillment of their vicarious achievement motive, they are more likely to BIRG by saying “we won” when their favorite team wins. On the other hand, these fans CORF by saying “they lost” when the team fails (Cialdini et al., 1976). Moreover, fans are inclined to select a team with better performance, thus have a higher opportunity to get a sense of achievement (Branscombe & Wann, 1991; Mahony, Madrigal, & Howard, 2000). Such findings serve as the theoretical support for studies that demonstrate the positive effect of vicarious achievement motive on team identification (Fink et al., 2002; Trail et al., 2003; Wann & Branscombe, 1993) Although vicarious achievement seeking toward individual players is seldom discussed in studies, such phenomenon does exist among fans (Funk et al., 2002; Trail et al., 2000; Trail et al., 2003). Evidence has revealed that fans’ vicarious achievement motive toward an individual player, a golfer for example, positively relates to their identification with the said player (Robinson et al., 2004). Therefore, the following is proposed: H6: Sport fans’ vicarious achievement motive toward a player positively influences the fans’ identification with that player. H7: Sport fans’ vicarious achievement motive toward a team positively influences the fans’ identification with that team. Figure 1 depicts the hypothesized relationships between these constructs. Method Participants Data were collected through two different stages. At the pretest stage, 26 participants who attended the CPBL games at the Kaohsiung Stadium on September 20, 2008 were recruited to fill up the questionnaires. The results showed that the Cronbach’s a for all the items in our measurement exceeded the recommended level (0.7), proposed by Nunally (1978), indicating a good reliability. Therefore, all the items remained in the final survey which was conducted through personal interviews by the authors at the baseball stadium during the data collection period. To maintain robustness of study, respondents were asked two questions before the conduct of further interview. This method determined the appropriate samples for the study. The questions included the following: 1) Are you a fan of a specific team in CPBL? (2) Does your most favorite player belong to the team identified in the previous question? Answers to the said questions should be affirmative, otherwise, the interview was terminated. Data in the actual survey stage were collected through the convenience sampling method of fans who attended the CPBL games in the same stadium from October 10–20, 2008. Baseball fans were chosen as the research target because baseball is viewed as a team sport and every player is involved in contributing to the performance. In a team, star players generally attract Trust, Vicarious Achievement Motive, and Identification Affecting Fan Loyalty 181 Figure 1 — Conceptual model greater attention from fans than other players, making them stand out in the games. Therefore, baseball fits the context of this study, allowing the examination of how antecedents impact fans’ repatronage intention in fanplayer and fan-team relationships. Of the 249 completed interviews, 32 were eliminated because of missing information, which left us with a total of 217 final, usable surveys. Because our data were collected through convenience sampling method, it is considered as a nonnormal sample set. However, our sample size was large enough to indicate the representation of the data collected. The final sample was dominated by male respondents (67.7%) at the age of under 30 (92.2%). Around 52% of the respondents were students while 38.1% were employed by a third party, and most of them held a college or above degree (91.3%). Measures Twenty-one items were drawn from past studies to measure the constructs in a five- point Likert-type scale ranging from 1 (Strongly Disagree) to 5 (Strongly Agree). In line with prior studies, we operationalized trust as “existing when one party has confidence in an exchange partner’s reliability and integrity” (Morgan & Hunt, 1994, p.23). Trust consists of two dimensions, trust in player and trust in team, in the current study and was measured by items adopted from Doney and Cannon (1997) and Hennig-Thurau et al. (2002), respectively. Vicarious achievement motive is operationalized as “the need for social prestige, self-esteem and sense of empowerment that an individual can receive from their association with a successful team” (Fink, Trail, & Anderson, 2002, p.198). Items for both vicarious achievement motives on player and on the team were drawn from Trail et al. (2003) and McDonald et al. (2000). Meanwhile, the items of “player identification” and “team identification” were adopted from Trail et al. (2003) and were operationalized as the feelings or sentiments of close attachment which are generated from an orientation of the self with regard to other objects such as a person or group. Repatronage intention is operationalized as the positive and persistent future behavior intention of a fan including stadium visits, watching of games on TV, and even merchandise purchases. Repatronage intention was measured through the three items adopted from Bauer et al. (2008). Table 1 shows a description of all the variables included in the study, whereas Table 2 presents the estimated correlation matrix between the constructs. Following Anderson and Gerbing’s (1988) work, a two-step modeling approach was used. First, a confirmatory factor analysis (CFA) was performed to assess the measurement model, including the examination of construct reliability and convergent and discriminate validity. Second, path analysis was conducted to test the hypotheses. The measurement model reached an acceptable level of χ2 /df ratio (i.e., 366.30/168 = 2.18 < 3.0, p = .00), and other fit indices also suggested that the model achieved an acceptable fit for the data (GFI = 0.86; AGFI = 0.81; SRMR = 0.056; RMSEA = 0.056). To evaluate 182 Wu, Tsai, and Hung Table 1 Factor Loadings, Composite Reliability, and Average Variance Extracted Values (AVE) for Scale Items Factor loading Items Trust in player The player is perfectly honest and truthful 0.87** The player can be trusted completely 0.86*** The player has high integrity 0.79*** Trust in team This team keeps promises it makes to its fans 0.61*** I believe the information that this team provides me 0.74*** This team is trustworthy 0.80*** Vicarious achievement motive toward player The performance of the player is important to me 0.62*** I feel a personal sense of achievement when the player does well 0.84*** I feel proud when the team plays well 0.83*** Vicarious achievement motive toward team I feel a personal sense of achievement when the team does well 0.82*** I feel like I have won when the team wins 0.82*** I feel proud when the team plays well 0.80*** Player identification I identify with the individual players on the team than with the team 0.67*** I am a big fan of specific players more than I am a fan of the team 0.86*** I consider myself a fan of certain players rather than a fan of the team 0.80*** Team identification I consider myself to be a “real” fan of the (team name) team Composite reliability AVE 0.8795 0.701 0.7637 0.5217 0.8113 0.5932 0.8550 0.6627 0.8252 0.6139 0.7917 0.5593 0.7573 0.5185 0.72*** I would experience a loss if I had to stop being a fan of the (team name) team 0.73*** Being a fan of (team name) is very important to me 0.79*** Repatronage intention I will attend games of my favorite team live in the stadium 0.79*** I will watch games of my favorite team on TV 0.81*** I will purchase a lot of team-related merchandise 0.52*** Notes. *** p < 0.001 Table 2 Means, Standard Deviations, and Correlations Mean S.D. 1. Trust in player 4.50 0.55 1 2. Trust in team 3.87 0.62 0.48 1 3. Vicarious achievement motive (player) 4.26 0.54 0.65 0.53 1 4. Vicarious achievement Motive (team) 4.28 0.57 0.51 0.68 0.78 1 5. Player identification 4.02 0.67 0.48 0.47 0.59 0.49 1 6. Team identification 3.87 0.68 0.47 0.74 0.58 0.69 0.69 1 7. Repatronage intention 4.21 0.53 0.59 0.52 0.53 0.53 0.52 0.58 S.D.= Standard Deviation 1 2 3 4 5 6 7 1 Trust, Vicarious Achievement Motive, and Identification Affecting Fan Loyalty 183 the reliability of the constructs, composite reliability was employed (Jöreskog, 1971). It was observed that all the values exceeded the recommended cut-off value of 0.60 (Bagozzi & Yi, 1988; Nunnaly & Bernstein, 1994). In this study, factor loadings of the construct indicators are all above 0.50 and t values are all significant, representing good convergent validity for each of the construct items (Anderson & Gerbing, 1988; Bagozzi & Yi, 1988). Evidence of discriminant validity was found through Smith & Barclay test (1997), which revealed that the interval by plus and minus 2 standard errors with the correlation of each paired constructs did not include 1. Results We used LISREL 8.7 to test our hypotheses. The results revealed an adequate fit to the data (χ2/df = 393.76/176 = 2.24 < 3.0, p = .00; GFI = 0.85, AGFI = 0.81, CFI = 0.97, PNFI = 0.79, SRMR = 0.068, RMSEA = 0.068). Results from the path analysis indicated that majority of the paths are significant, with the exception of the link between player identification and repatronage intention (see Table 3). For the relationship from identification to repatronage intention, we found team identification has a strong and significant impact on repatronage intention (β= 0.50, t = 4.56) while player identification to repatronage intention is insignificant (β = 0.19, t = 1.84). This led to an acceptance of H2 and a rejection of H1. In terms of player identification to team identification, the coefficient (β = 0.39, t = 5.34) is significant, thus supporting H3. Links from trust in player to player identification and from trust in team to team identification are both significant as well (β = 0.19, t = 1.96 and β = 0.45, t = 4.47 respectively), indicating support for H4 and H5. As for vicarious achievement motive, the impact from seeking player achievement to player identification and from seeking team achievement to team identification are significant as well (β = 0.47, t = 4.70 Table 3 Results of Structural Equation Analyses for the Proposed Model and the Competing Models Full mediated Model Partially mediated model Achieve player → Player identification 0.47*** 0.50*** Trust in player → player identification 0.19* 0.16 Achieve team → team identification 0.21* 0.19* Trust in team → team identification 0.45*** 0.42*** Player identification → team identification 0.39*** 0.37*** Player identification → Repatronage 0.19 0.13 0.21 Team identification → Repatronage 0.50*** 0.20 0.12 Achieve Player → Repatronage -0.05 -0.04 Trust in player → repatronage 0.32*** 0.32*** Achieve team → repatronage 0.12 0.12 Trust in team → repatronage 0.08 0.08 Paths Direct effect model Dependent variable: Player identification Dependent variable: Team identification Dependent variable: Repatronage intention Chi-Square 393.76 372.42 366.30 df 176 172 168 GFI 0.85 0.86 0.86 CFI 0.97 0.97 0.97 PNFI 0.79 0.77 0.76 PGFI 0.65 0.64 0.63 Player identification 0.38 0.36 Team identification 0.73 0.70 Repatronage Intention 0.41 0.48 SMC Estimate (R2) Notes. * p < 0.05; ** p < 0.01; *** p < 0.001 0.48 184 Wu, Tsai, and Hung and β = 0.21, t = 2.19 respectively) providing support for H6 and H7. Based on the path effects of our conceptual model, repatronage intention is largely affected by team identification (0.50) wherein trust in the team produces the major effect (0.45). The strongest influence for player identification comes from vicarious achievement motive (0.47). The details are summarized in Table 4. With the insignificant result of our hypothesis 1, we are not able to confirm the mediating effect of player identification. However, player identification does hold an indirect effect (going through team identification) on repatronage intention. We conducted Sobel tests to examine the mediating effect of team identification, which has a significant effect on repatronage intention in the conceptual model. The results confirmed the significant mediation of team identification on the relationships from both trust in team (z = 3.71, p = .000) and vicarious achievement motive toward team (z = 3.81, p = .000) to repatronage intention, as well as the one from player identification (z = 4.38, p = .000) to repatronage intention. These results support our hypotheses that team identification is the key mediator. Rival Models Researchers are recommended to compare rival models while conducting SEM (Bollen & Long, 1992). Therefore, a rival model was tested in this study, and the results were compared with the conceptual model. As trust and vicarious achievement motive have been proposed in previous studies to produce both direct and indirect impact on loyalty (Chiou et al., 2002; Funk et al., 2002; Funk, Ridinger, & Moorman, 2003; Morgan & Hunt, 1994), the rival model-partially mediated depicts a situation wherein identification only partially mediates the relationships between the two antecedents and repatronage intention (see Figure 2). The goodness-of-fit indices of the rival model-partially mediated, as reported in Table 3, indicated that they all achieved a fair fit for the data (χ2 /df = 372.42/172 = 2.17 < 3.0, p = .00, GFI = 0.86, AGFI = 0.82, CFI = 0.97, PNFI = 0.77, SRMR = 0.061, RMSEA = 0.071). In line with the study of Morgan and Hunt (1994), this research also adhered to the criteria proposed by James, Mulaik, and Brett (1982) in comparing the conceptual model with the rival model-partially mediated: (1) overall fit of the model-implied covariance matrix to the sample covariance matrix as measured through CFI; (2) percentage of the models’ hypothesized parameters that are statistically significant; (3) ability to explain the variance in the outcomes of interest as measured through squared multiple correlations (SMC) of the focal and outcome variables; and (4) parsimony as measured through the parsimonious normed fit index (PNFI). We find the conceptual model to be a better representation of the data in examining our conceptual and rival model-partially mediated on these four criteria. Both models are equivalent in the overall fit statistics (CFI = 0.97), but the parsimony index (PNFI) for the conceptual model is better despite its insignificance (0.79 vs. 0.77). Only 5 of the 11 paths (5/11 = 45.5%) of the rival model-partially mediated (when it comes to the percentage of the models’ hypothesized parameters) are supported at the p < .05 level or better. On the contrary, the conceptual model possesses a far greater significant ratio of six out of seven paths (6/7 = 85.7%) than that of the rival model-partially mediated. Moreover, two out of the three SMCs (0.38 for player identification and 0.73 for team identification) of the conceptual model are also higher than those of the rival model-partially mediated (0.36 and 0.70 respectively). Overall, the results suggest Table 4 Summary of the Path Effects Dependent Variables (DV) Independent Variables (IV) Direct Effect Indirect Effect Total Effect Repatronage Intention Vicarious achievement motives toward the player Trust in the player Vicarious achievement motives toward the team Trust in the team Player identification Team identification 0 0 0 0 0.19a 0.50 0.18 0.07 0.11 0.23 0.20 0 0.18 0.07 0.11 0.23 — 0.50 Team Identification Vicarious achievement motives toward the player Trust in the player Vicarious achievement motives toward the team Trust in the team Player identification 0 0 0.21 0.45 0.39 0.19 0.07 0 0 0 0.19 0.07 0.21 0.45 0.39 Player Identification Vicarious achievement motives toward the player Trust in the player 0.47 0.19 0 0 0.47 0.19 Notes. a = insignificant Trust, Vicarious Achievement Motive, and Identification Affecting Fan Loyalty 185 Figure 2 — Rival model-Partially mediated that the conceptual model with team identification as mediators is significantly superior to the rival modelpartially mediated. Moreover, for the robustness of the conceptual model, it is plausible to posit that all the antecedent variables in the current study affect repatronage intention directly (see Figure 3). Therefore, another rival model for our conceptual framework would be a model that includes the direct effects of trust (player and team), vicarious achievement motive (player and team), and identification (player and team) on repatronage intention only. The results of this rival model-direct effect are also reported in Table 3. Only one of the six paths (1/6 = 16.7%) is supported at the p < .001 level even though the overall fit of the rival model-direct effect is as sound as that of the conceptual model (χ2 /df = 366.30/168 = 2.18 < 3.0, p = .00, GFI = 0.86, AGFI = 0.81, CFI = 0.97, PNFI = 0.76, SRMR = 0.056, RMSEA = 0.072). Moreover, both parsimony indexes of the conceptual model (PNFI = 0.79; PGFI = 0.65) exceed those of the rival model-direct effect (PNFI = 0.76; PGFI = 0.63). Therefore, the conceptual model appears to be a better representation of the data than either of the rival models with partially mediated or direct effect. Discussion and Conclusion This study deviates from previous research by distinguishing fan-player relationship from fan-team relationship and by investigating the effects that factors from both levels generate on fan loyalty. The effect of trust in sport industry is likewise examined and the relationship among loyalty, identification, and vicarious achievement motive is verified. Moreover, to test rigidity and trustworthiness of the conceptual model, this study assesses two rival models, compares the results, and finds that team identification mediates the effect of trust and vicarious achievement motive on loyalty. Findings of this research are twofold. First, impact of team identification on repatronage intention is observed to be considerably greater than that of player identification; the latter is observed to produce an insignificant effect on the same intention. This finding is inconsistent with several previous studies (e.g.,: Doney & Cannon, 1997; Iacobucci & Ostrom, 1996), which find loyalty to be influenced more by interpersonal relationship (customersalespeople) than by customer-firm relationship. Such inconsistency may be attributed to the fact that player identification transforms into loyalty toward the player 186 Wu, Tsai, and Hung Figure 3 — Rival model-Direct effect instead of toward the team, as originally postulated in this study. Trust in the salesperson has been shown to lead to a salesperson-owned loyalty (Yim, Tse, & Chan, 2008), which subsequently generates loyalty to the selling firm (Palmatier, Scheer, & Steenkamp, 2007). These findings explain why player identification does not affect loyalty in this study, as loyalty to the player may mediate the path from player identification to loyalty toward the team. This leaves a direction for future study. Relationship strength, the degree or magnitude of association between a customer and a service provider (Barnes, 1997; Shemwell & Cronin, 1995), may be another reason for the inconsistency between the current study and prior business findings on bilevel relationships. A strong relationship with a firm or its staff has been observed to result in customer loyalty (Gwinner, Gremler, & Bitner, 1998). In sport, relationship strength tends to be weaker than in the regular business context. For example, interaction frequencies and intimacy between fans and players are considerably fewer compared with those between customers and salespeople. Relationship distance between fans and players are considerably wider as the former have limited direct contact with the latter. In such case, player identification can hardly be transformed into loyalty toward the team. Relationship duration, or the length of the relationship between exchange partners (Cooil, Keiningham, Aksoy, & Hsu, 2007; Palmatier, Dant, Grewal, & Evans, 2006), may be the third reason behind such inconsistent result. The average career length of major league baseball Trust, Vicarious Achievement Motive, and Identification Affecting Fan Loyalty 187 players is 5.6 years (Witnauer, Rogers, & Saint Onge, 2007), which is shorter compared with that of major league teams. Teams such as the New York Yankees, Boston Red Sox, Chicago White Sox, and Cleveland Indians, for example, have existed for 109 years, indicating that the relationship duration between fans and teams may last for several generations and even become a family tradition. On the other hand, the relationship duration between fans and players is considerably short. Many players also transfer, willingly or unwillingly, from team to team even within a short 5.6 career years, which reduces the impact of fan-player relationship on loyalty toward the team. The second major finding of this research involves the relationship among the antecedents of repatronage intention examined in this study. The results are distinct between fan-player and fan-team levels, and should be discussed separately. For antecedents from the fan-team aspect, we find that trust generates significantly higher impact on team identification compared with vicarious achievement motive toward the team. In other words, trust plays a key role in enhancing team identification and increasing repatronage intention. This is an important finding that should be a subject of serious discussions. Based on several in-depth interviews with fans, we conclude that the explanation for such result may be that fans generally observe a team through several facets, including management of the team, its CRM strategies, and the interaction between the team and its fans. In such case, winning or losing is no longer deemed important. This is why so-called die-hard fans continue to exist even if a team experiences an extremely bad season-fans continue to trust and identify with the team. In terms of factors from the fan-player level, the influence of vicarious achievement motive creates a stronger impact on player identification compared with trust in the player. In the fan-player relationship, the better the players perform, the more the fans will identify with them. Generally, players with better performance attract greater attention from fans, and such stellar performance (capability) can fulfill consumers’ need for vicarious achievement (Robinson et al., 2004). Further, positive self-concept-achievement, in this case-which fans intend to preserve through the success of a specific target, is easily transformed among objects with the same form, such as person to person. Therefore, forming vicarious achievement associations with players is considerably easier for fans than forming associations with intangible objects such as teams. Although trust in players can increase fans’ identification toward individual players, influence is considerably mild. Player behavior includes both on-field occurrences, such as the play, and off-field behavior (Fink et al., 2009). Trust in individual players may be founded on the belief that players are capable of performing well in the game because interactions between fans and individual players are few and limited mainly on the field. However, the influence of such belief is relatively vulnerable when players experience bad seasons, and it is not strong enough to encourage fans to identify with players especially when the latter are reported to exhibit unscrupulous behaviors off-field, such as engaging in steroid use (Fainaru-Wada & Williams, 2003) or accepting money from boosters (Dodd, 2006). Theoretical Implication Findings of this study reveal three theoretical implications. First, in contrast to extant sport literature, this study is the first to conduct a simultaneous test on the effects of antecedents on fan loyalty within two relationship levels: fan-player and fan-team relationships. Findings confirm the mediating role of team identification and distinct impacts of team identification and player identification on loyalty. Results likewise reveal that repatronage intention is mainly influenced by the fans’ identification with the team. Identification with a player does not directly generate any impact on fans’ repatronage intention, unless it is mediated by team identification. These results are aligned with previous studies (e.g., Cornwell & Coote, 2005), which propose that individuals express their support toward a specific organization by participating in the organization’s activities or purchasing products from the organization. The results are also consistent with previous findings that fans will not purchase a ticket to a game even when they identify with the players (Funk et al., 2002; Won & Kitamura, 2006). Second, as the relationship between fans and player (team) is deemed stable and long-term, trust, an important factor for relationship retention, is incorporated into the conceptual model, thus confirming the influential role of trust in generating identification. In other words, trust is fundamental for fans to identify and develop a relationship with a specific object. Such result not only affirms previous studies (e.g., Morgan & Hunt, 1994) suggesting that trust is the key element for a long-term relationship, but provides important insight for researchers in the field of sport as well. Third, contrary to previous studies contending that vicarious achievement motive directly influences loyalty (e.g., Won & Kitamura, 2006), the mediating role played by team identification in the relationship between repatronage intention and its antecedents is confirmed in this study. Trust (in both player and team), vicarious achievement motive (toward both player and team), and player identification must undergo team identification to influence the repatronage intention of fans. Managerial Implication In contemporary practice, sport organizations are inclined to allocate a significant amount of financial resources on player-related issues, which do not always guarantee fruitful returns. The New York Yankees provides an ideal example of such practice by issuing attractive contracts to star players in the team; this has made the team more expensive compared with others. According to the findings of this study, such practice only enhances player 188 Wu, Tsai, and Hung identification and should be viewed as a short-term strategy (Todd, Crook, & Barilla, 2005) rather than a longterm practice. The relationship between player attachment and length of time as a fan has been proven to be negative (Mahony et al., 2002), indicating that shorter-term fans are more attracted by the players than longer-term fans (Nakazawa, Mahony, Funk, & Hirakawa, 1999). Strategies that focus solely on players become risky over the long term as teams then struggle to locate equally charismatic replacements once star players retire (Mahony et al., 2002) or switch to other teams. Based on our findings, sport organizations are suggested to allocate their major resources on activities that enhance team identification among fans because such effect best triggers repatronage intention. Sport organizations should focus on increasing fans’ team identification by devoting greater effort on building trust toward the team. For example, they can issue guidelines for off-field behavior for players, increase opportunities for interaction between fans and the team, fulfill every promise made by the team, provide timely and accurate information to fans, and attend or represent activities launched by nonprofit organizations (Morgan & Hunt, 1994; Palmatier et al., 2006). Sport organizations are also recommended to use the Customer Relationship Management (CRM) technique and to increase membership in team fan clubs to enhance their fans’ team attachment. Through CRM, sport firms can segment their fans by factors, including length of time as a fan, demographics, and other similar parameters, such as behavior tendencies (BIRGing, CORFing, BIRFing, and CORSing), and then apply the most effective strategies to the right segments to gain a satisfying return. For example, sport marketers should customize information dissemination to the different segments of fans through different channels. Information for longer-term fans should focus more on team-related subjects such as current and past team events, team history, team brand, and team merchandize. On the other hand, marketers for shorter-term fans can focus more on information regarding individual players such as personal background and records, or their interesting stories. Moreover, when sending out such player information, marketers should also include team recognition to increase a segment’s team identification and eventually transform player identification to team identification. Such method is demonstrated by what the National Basketball Association (NBA) did to improve the league’s attraction. It managed the image of its individual human brands and established an off-the-court dress code for its players (Thomson, 2006). Sport marketers are encouraged to market through new technology, such as the social network media (e.g., Facebook and twitter), to increase the quality of interaction between the groups of fans and the sport teams (Mahony, et al., 2002), particularly that with younger generations who are likely to become season ticket holders in the future. Sport firms should create and maintain an organizational Facebook account, and encourage their players and coaches to have their own personal Facebook accounts as well. With the popularity of this new network medium, sport firms have great chances to strengthen the relationship with their fans. Furthermore, both organizational and player personal accounts should be cross-linked to encourage direct interactions between fans and the team, as well as fans and individual players. Marketers may then capitalize on the “good old times” particularly when it comes to the older generations of fans by emphasizing past glories through traditional media, especially when the team is going through a bad season. By repeatedly bringing fans back to the excitement and pride that they once experienced, these old fans’ attachment to the team may be enhanced. Limitations and Future Research Further research is recommended to validate our findings although majority of the results of this study are consistent with our theoretical expectations. This study is limited by the inability to monitor changes in the attitude of fans during different time frames. Researchers may wish to adopt a longitudinal research method and reveal attitude changes among fans. Moreover, because of the lack of information on the response of participants to the performance of their favorite teams, we are not able to categorize the participants based on any of the behavioral types. Under such condition, our conceptual model only depicts the phenomena of BIRGing and CORFing by hypothesizing the positive relationship between vicarious achievement motive (team and player) and identification (team and player). Again, with a cross-sectional research, we are not able to explain the BIRFing and CORSing behavior in this study. We agree with Campbell and his colleagues that BIRFing and CORSing are interesting and inspiring subjects that deserve further investigation and more empirical examinations. Future research is encouraged to examine these four types of fan behavior, as well as to reveal factors individually triggering these behaviors. Sport firms, therefore, can effectively plan their marketing strategies by segmenting their fans and implementing the right marketing strategies. Satisfaction, a critical construct of relationship quality, has been demonstrated as a determinant of consumer loyalty under experiential contexts (Chiou et al., 2002; Hennig-Thurau et al., 2002). Researchers are recommended to examine whether fans’ satisfaction over players or the team can enhance their identification levels. Further, researchers are encouraged to examine how player identification and team identification can alter repatronage intention, as well as the effects of alteration on fans’ repatronage intention once their favorite players are transferred to another team. The mediating effect of loyalty toward the player in the relationship between player identification and loyalty toward the team (repatronage intention) demands further investigation as well. Trust, Vicarious Achievement Motive, and Identification Affecting Fan Loyalty 189 References Ajzen, I., & Driver, B.L. (1992). Application of the theory of planned behavior in leisure choice. Journal of Leisure Research, 24, 207–224. Anderson, J.C., & Gerbing, D.W. (1988). Structure equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411–423. Ashforth, B.E., & Mael, F. (1989). Social identity theory and the organization. Academy of Management Review, 14, 20–39. Bagozzi, R.P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74–94. Barnes, J.G. (1997). Closeness, strength, and satisfaction: Examining the nature of relationships between providers of financial services and their retail customers. Psychology and Marketing, 14, 765–790. Bauer, H.H., Stokburger-Sauer, N.E., & Exler, S. (2008). Brand image and fan loyalty in professional team sport: A refined model and empirical assessment. Journal of Sport Management, 22, 205–226. Bee, C.C., & Kahle, L.R. (2006). Relationship marketing in sports: A functional approach. Sport Marketing Quarterly, 15, 102–110. Bhattacharya, C.B., Rao, H., & Glynn, M.A. (1995). Understanding the bond of identification: An investigation of its correlates among art museum members. Journal of Marketing, 59, 46–57. Bollen, K., & Long, J.S. (1992). Tests for structural equation models: Introduction. Sociological Methods & Research, 21, 123–131. Branscombe, N.R., & Wann, D.L. (1991). The positive social and self-concept consequences of sports team identification. Journal of Sport and Social Issues, 15, 115–127. Chiou, J.S., Droge, C., & Hanvanich, S. (2002). Does customer knowledge affect how loyalty is formed? Journal of Service Research, 2, 113–124. Cialdini, R.B., Borden, R.J., Thorne, A., Walker, M.R., Freeman, S., & Sloan, L.R. (1976). Basking in reflected glory: Three football field studies. Journal of Personality and Social Psychology, 34, 366–375. Campbell, R.M., Jr., Aiken, D., & Kent, A. (2004). Beyond BIRGing and CORFing: Continuing the exploration of fan behavior. Sport Marketing Quarterly, 13, 151–157. Cooil, B., Keiningham, T.L., Aksoy, L., & Hsu, M. (2007). A longitudinal analysis of customer satisfaction and share of wallet: Investigating the moderating effect of customer characteristics. Journal of Marketing, 74, 67–83. Cornwell, T.B., & Coote, L.V. (2005). Corporate sponsorship of a cause: The role of identification in purchase intent. Journal of Business Research, 58, 268–276. Crosby, L.A., Evans, K.R., & Cowles, D. (1990). Relationship quality in services selling: An interpersonal influence perspective. Journal of Marketing, 54, 68–81. Dodd, D. (2006). Sorting out the mess in Norman. Not a moment too soon. CBS SportsLine. Doney, P.M., & Cannon, J.P. (1997). An examination of the nature of trust in buyer-seller relationships. Journal of Marketing, 61, 35–52. Dutton, J., & Dukerich, J. (1991). Keeping an eye on the mirror: Image and identity in organizational adaptation. Academy of Management Journal, 34, 517–554. Fainaru-Wada, M., & Williams, L. (2003). Barry Bonds: Anatomy of a scandal. Seattle Post-Intelligencer. Ferrand, A., Robinson, L., & Valette-Florence, P. (2010). The intention-to-repurchase paradox: A case of the health and fitness industry. Journal of Sport Management, 24, 83–105. Fink, J.S., Trail, G.T., & Anderson, D.F. (2002). An examination of team identification: Which motives are most salient to its existence? International Sports Journal, 6, 195–207. Fink, J.S., Parker, H.M., Brett, M., & Higgins, J. (2009). Offfield behavior of athletes and team identification: Using social identity theory and balance theory to explain fan reactions. Journal of Sport Management, 23, 142–155. Fisher, R.J. (1998). Group-derived consumption: The role of similarity and attractiveness in identification with a favorite sports team. Advances in Consumer Research. Association for Consumer Research (U. S.), 25, 283–288. Fisher, R.J., & Wakefield, K. (1998). Factors leading to group identification: A field study of winners and losers. Psychology and Marketing, 15, 23–40. Fujimoto, J., & Harada, M. (2000). A study on factors affecting behaviour of sport attendant. Proceedings of 23rd Japanese Society of Management for Physical Education and Sports, 25–26. Funk, D.C., Haugtvedt, C.P., & Howard, D.R. (2000). Contemporary attitude theory in sport: Theoretical considerations and implications. Sport Management Review, 3, 124–144. Funk, D.C., & James, J.D. (2006). Consumer loyalty: The meaning of attachment in the development of sport team allegiance. Journal of Sport Management, 20, 189–217. Funk, D.C., Mahony, D.F., & Ridinger, L.L. (2002). Characterizing consumer motivation as individual difference factors: Augmenting the sport interest inventory (SII) to explain level of spectator support. Sport Marketing Quarterly, 11, 33–44. Funk, D.C., & Pastore, D.L. (2000). Equating attitudes to allegiance: The usefulness of selected attitudinal information in segmenting loyalty to professional sports teams. Sport Marketing Quarterly, 9, 175–184. Funk, D.C., Ridinger, L.L., & Moorman, A.M. (2003). Understanding consumer support: Extending the sport interest inventory (SII) to examine individual differences among women’s professional sport consumers. Sport Management Review, 6, 1–32. Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing, 58, 1–19. Gladden, J.M., & Funk, D.C. (2002). Developing an understanding of brand associations in team sport: Empirical evidence from consumers of professional sport. Journal of Sport Management, 16, 54–81. Gwinner, K.P., Gremler, D.D., & Bitner, M.J. (1998). Relational benefits in services industries: The customer’s perspective. Journal of the Academy of Marketing Science, 26, 101–114. Heere, B., & Dickson, G. (2008). Measuring attitudinal loyalty: Separating the terms of affective commitment and attitudinal loyalty. Journal of Sport Management, 22, 227–239. Hellier, P.K., Geursen, G.M., Carr, R.A., & Rickard, J.A. (2003). Customer repurchase intention: A general structural equation model. European Journal of Marketing, 37, 1762–1800. Hennig-Thurau, T., Langer, M.F., & Hansen, U. (2001). Modeling and managing student loyalty: An approach based on the concept of relationship quality. Journal of Service Research, 3, 331–344. Hennig-Thurau, T., Gwinner, K.P., & Gremler, D.D. (2002). Understanding relationship marketing outcomes: An integration of relational benefits and relationship quality. Journal of Service Research, 4, 230–247. 190 Wu, Tsai, and Hung Hong, J., McDonald, M.A., Yoon, C., & Fujimoto, J. (2005). Motivation for Japanese baseball fans’ interest in major league baseball. International Journal of Sport Management and Marketing, 1, 141–154. Iacobucci, D., & Ostrom, A. (1996). Commercial and interpersonal relationships: Using the structure of interpersonal relationships to understand individual-to-individual, individual-to-firm, and firm-to-firm relationships in commerce. International Journal of Research in Marketing, 13, 53–72. Jacoby, J., & Chestnut, R.W. (1978). Brand Loyalty. New York: John Wiley & Sons. James, L.R., Mulaik, S.A., & Brett, J. (1982). Causal analysis: Models, assumptions, and data. Newbury Park, CA: Sage Publications. Jöreskog, K.G. (1971). Simultaneous factor analysis in several populations. Psychometrika, 36, 409–426. Keh, H.T., & Xie, Y. (2009). Corporate reputation and customer behavioral intentions: The roles of trust, identification and commitment. Industrial Marketing Management, 38, 732–742. Kimble, C.E., & Cooper, B.P. (1992). Association and dissociation by football fans. Perceptual and Motor Skills, 75, 303–309. Kwon, H.H., Trail, G., & James, J.D. (2007). The mediating role of perceived value: Team identification and purchase intention of team-licensed apparel. Journal of Sport Management, 21, 540–554. Kumar, N., Scheer, L.K., & Steenkamp, J.E.M. (1995). The effects of supplier fairness on vulnerable resellers. JMR, Journal of Marketing Research, 32, 54–65. Laverie, D.A., & Arnett, D.B. (2000). Factors affecting fan attendance: The influence of identity salience and satisfaction. Journal of Leisure Research, 32, 225–246. Liljander, V., & Strandvik, T. (1995). The nature of customer relationships in services. Advances in Services Marketing and Management, 4, 141–168. Macintosh, G. (2007). Customer orientation, relationship quality, and relational benefits to the firm. Journal of Services Marketing, 21, 150–159. Macintosh, G., & Lockshin, L.S. (1997). Retail relationships and store loyalty: A multi-level perspective. International Journal of Research in Marketing, 14, 487–497. Mahony, D.F., Madrigal, R., & Howard, D.R. (2000). Using the psychological commitment to team (PCT) scale to segment sport consumers based on loyalty. Sport Marketing Quarterly, 9, 15–25. Mahony, D.F., Nakazawa, M., Funk, D.C., James, J.D., & Gladden, J.M. (2002). Motivational factors influencing the behaviour of J. League spectators. Sport Management Review, 5, 1–24. McDonald, M.A., Milne, G.R., & Hong, J. (2002). Motivational factors for evaluating sport spectator and participant markets. Sport Marketing Quarterly, 11, 100–113. Morgan, R.M., & Hunt, S.D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58, 20–38. Nakazawa, M., Mahony, D.F., Funk, D.C., & Hirakawa, S. (1999). Segmenting J. League spectators based on length of time as a fan. Sport Marketing Quarterly, 8, 55–65. Nunnally, J.C. (1978). Psychometric Theory (2nd ed.). New York: McGraw-Hill. Nunnally, J.C., & Bernstein, I.H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill. Palmatier, R.W., Dant, R.P., Grewal, D., & Evans, K.R. (2006). Factors influencing the effectiveness of relationship marketing: a meta-analysis. Journal of Marketing, 70, 136–153. Palmatier, R.W., Scheer, L.K., Houston, M.B., Evans, K.R., & Gopalakrishna, S. (2007). Use of relationship marketing programs in building customer-salesperson and customerfirm relationships:Differential influences on financial outcomes. International Journal of Research in Marketing, 24, 210–223. Palmatier, R.W., Scheer, L.K., & Steenkamp, J.E.M. (2007). Customer loyalty to whom? Managing the benefits and risks of salesperson-owned loyalty. JMR, Journal of Marketing Research, 44, 185–199. Park, S.H., & Kim, Y.M. (2000). Conceptualizing and measuring the attitudinal loyalty construct in recreational sport contexts. Journal of Sport Management, 14, 197–207. Reichheld, F.F., & Schefter, P. (2000). E-loyalty: Your secret weapon on the Web. Harvard Business Review, 78, 105–113. Restubog, S.L.D., Hornsey, M.J., Bordia, P., & Esposo, S.R. (2008). Effects of Psychological Contract Breach on Organizational Citizenship Behaviour: Insights from the Group Value Model. Journal of Management Studies, 45, 1377–1400. Reynolds, K.E., & Beatty, S.E. (1999). Customer benefits and company consequences of customer-salesperson relationships in retailing. Journal of Retailing, 75, 11–32. Robinson, M.J., & Trail, G.T. (2005). Relationships among spectator gender, motives, points of attachment, and sport preference. Journal of Sport Management, 19, 58–80. Robinson, M.J., Trail, G.T., & Kwon, H. (2004). Motives and points of attachment of professional golf spectators. Sport Management Review, 7, 167–192. Rotter, J.B. (1967). A new scale for the measurement of interpersonal trust. Journal of Personality, 35, 651–665. Schlenker, B.R., Helm, B., & Tedeschi, J.T. (1973). The effects of personality and situational variables on behavioral trust. Journal of Personality and Social Psychology, 25, 419–427. Shemwell, D.J., & Cronin, J.J. (1995). Trust and commitment in customer/service-provider relationships: An analysis of differences across service types and between sexes. Journal of Customer Service in Marketing & Management, 1, 65–75. Sirdeshmukh, D., Singh, J., & Sabol, B. (2002). Consumer trust, value, and loyalty in relational exchanges. Journal of Marketing, 66, 15–37. Sloan, L.R. (1989). The motives of sports fans. In J.H Goldstein(Ed.), Sports games and play: Social and psychological viewpoints (2nd. 175-240), Hillsdale, NJ: Lawrence Erlbaum Associates. Smith, J.B., & Barclay, D.W. (1997). The effects of organizational differences and trust on the effectiveness of selling partner relationships. Journal of Marketing, 61, 3–21. Tajfel, H. (1981). Human Groups and Social Categories. Cambridge: Cambridge University Press. Tajfel, H., & Turner, J.C. (1986). Social identity theory of intergroup behavior. In W. Austin & S. Worchel (Eds.), Psychology of intergroup relations (2nd ed.). Chicago: Nelson-Hall. Thomson, M. (2006). Human brands: Investigating antecedents to consumers’ strong attachments to celebrities. Journal of Marketing, 70, 104–119. Thomson, M., MacInnis, D.J., & Park, W. (2005). The ties that bind: Measuring the strength of consumers’ emotional attachments to brands. Journal of Consumer Psychology, 15, 77–91. Trust, Vicarious Achievement Motive, and Identification Affecting Fan Loyalty 191 Todd, S.Y., Crook, T.R., & Barilla, A.G. (2005). Hierarchical Linear Modeling of Multilevel Data. Journal of Sport Management, 19, 387–403. Trail, G.T., Anderson, D.F., & Fink, J.S. (2000). A theoretical model of sport spectator consumption behavior. International Journal of Sport Management, 1, 154–180. Trail, G.T., Fink, J.S., & Anderson, D.F. (2003). Sport spectator consumption behavior. Sport Marketing Quarterly, 12, 8–17. Trail, G.T., & James, J.D. (2001). The motivation scale for sport consumption: A comparison of psychometric properties with other sport motivation scales. Journal of Sport Behavior, 24, 108–127. Trail, G.T., Robinson, M.J., Dick, R.J., & Gillentine, A.J. (2003). Motives and points of attachment: Fans versus spectators in intercollegiate athletics. Sport Marketing Quarterly, 12, 217–227. Trawick, I.F., & Swan, J.E. (1981). A model of industrial satisfaction/complaining behaviour. Industrial Marketing Management, 10, 23–30. Wakefield, K.L., & Sloan, H.J. (1995). The effects of team loyalty and selected stadium factors on spectator attendance. Journal of Sport Management, 9, 153–172. Wann, D.L. (1995). Preliminary motivation of the sport fan motivation scale. Journal of Sport and Social Issues, 19, 377–396. Wann, D.L., & Branscombe, N.R. (1993). Sports fans: Measuring degree of identification with their team. International Journal of Sport Psychology, 24, 1–17. Wann, D.L., & Polk, J. (2007). The positive relationship between sport team identification and belief on the trustworthiness of others. North American Journal of Psychology, 9, 251–256. Wann, D., Tucker, K., & Schrader, M. (1996). An exploratory examination of the factors influencing the origination, continuation and cessation of identification with sports teams. Perceptual and Motor Skills, 82, 995–1001. Wilson, D.T. (1995). An integrated model of buyer-seller relationships. Journal of the Academy of Marketing Science, 23, 335–345. Witnauer, W.D., Rogers, R.G., & Saint Onge, J.M. (2007). Baseball career length in the twentieth-century: The effects of age, performance, and era. Population Research and Policy Review, 26, 371–386. Won, J.U., & Kitamura, K. (2006). Motivational factors affecting sports consumption behavior of K-league and J-league spectators. International Journal of Sport and Health Science, 14, 233–251. Yim, C.K.B., Tse, D.K., & Chan, K.W. (2008). Strengthening customer loyalty through intimacy and passion: roles of customer–firm affection and customer–staff relationships in services. JMR, Journal of Marketing Research, 45, 741–756.
© Copyright 2026 Paperzz