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On July 1, 2021, the National Collegiate Athletic Association suspended its amateurism bylaw, allowing states to pass name, image, and likeness legislation. This opened the floodgates in intercollegiate athletics, allowing student-athletes to earn income and other financial incentives by engaging in sponsorships and other commercial deals with companies and organizations. Despite this, international collegiate athletes are currently prohibited from monetizing name, image, and likeness opportunities in the United States due to exclusionary restrictions on the F1 student visa status. There has been limited discourse regarding this near exclusion, leaving international collegiate athletes a silent group with few advocating for changes to ensure equity. This preliminary study investigates the perceptions of National Collegiate Athletic Association Division I intercollegiate athletic practitioners and coaches on the impact this exclusion can have on a wide range of issues, including recruiting, team dynamics, and job function. Findings suggested there are five main areas where this legislative gap will have an impact, including education, finance, diversion, equity and fairness, and American exceptionalism.

With the arrival of name, image, and likeness (NIL), the college sports labor market has distinctly taken on similar characteristics to the gig economy, with athletes able to earn extra compensation through external NIL-based independent contractor “gigs.” But with this comparison comes comparable issues, and scholarship and litigation examining and challenging gig economy structures have identified several legal and ethical concerns both individual to each worker and more broadly affecting labor markets. Building off this literature, we conceptualize the NIL phenomenon within the gig economy space, exploring the legal and ethical concerns that have plagued companies like Uber and applying those same concerns to the brave new world of NIL-fueled college sports. We not only find similar issues in college sports but also find even deeper concerns based on new and existing challenges unique to the novel space of college sports, particularly given the increased proliferation of NIL collectives.

Voluntary occupational turnover is rampant within the economy and, thus, a timely line of inquiry within sport management. However, sport management literature has primarily explored turnover intentions rather than the realized experience of voluntary occupational turnover. Thus, the purpose of this study was to understand sport management employees’ experiences of voluntary occupational turnover using the Transtheoretical Model of Change as a guiding theoretical framework. Interpretative qualitative inquiry guided the research design with 12 former Division I swimming coaches. Findings illustrated themes aligning with the Transtheoretical Model of Change. However, an additional theme was identified: the tipping point, occurring between contemplation and preparation when a discernible event occurred which prompted the participant to move from contemplation to preparation. This study further extends the Transtheoretical Model of Change and its applicability within sport while providing implications regarding the retention of sport management employees.

Considering the inconsistency in the literature on crowdinvestment motivations and the uniqueness of football club investors, the purpose of this study is to identify the motivation to invest in football clubs through equity crowdfunding. Following Churchill’s scale development procedure, it is found that those who crowdinvest in football clubs are fans who highly identify with these teams. The fans’ motivations include supporting the cause of the campaign, acquiring the status of a football club owner, and gaining rewards. These findings show the dominance of intrinsic motivations among crowdinvestors of European football clubs, providing evidence for compensatory activities assumed in self-determination theory, which is the theoretical framework for this research. Moreover, we devise a motivation scale that can be adopted in future research on equity crowdfunding for football clubs. For sports managers, the results offer practical recommendations for marketing communication and relationship marketing of equity crowdfunding campaigns by football clubs.

Subjective vitality is an important, yet understudied, indicator of eudaimonic well-being. People experience subjective vitality when they engage in need-satisfying activities. We investigate two sport consumption activities (stadium attendance and sport television viewing), team identification, and subjective vitality to understand how sport consumption mediates the impact of team identification on subjective vitality. Throughout a season, data were collected from local residents (n = 618) living within the franchise area of a Japanese professional baseball team. Structural equation modeling and bootstrapping mediation analysis showed that team identification exerted both a direct and an indirect effect via attendance frequency on subjective vitality. The proposed model and the findings offer new theoretical insights into the roles of subjective vitality, team identification, and stadium attendance in spectator sport. Consequently, sport teams can leverage these insights to intensify consumer experiences when people attend games, positively contributing to their well-being.

The purpose of this study was to analyze the diffusion of one sport innovation to forecast a second. Contextualized within the diffusion of innovations theory, this study investigated cumulative business analytics diffusion as an analog for cumulative natural language processing (NLP) diffusion in professional sport. A total of 89 teams of the 123 teams in the Big Four North American men’s professional sport leagues contributed: 21 from the National Football League, 23 from the National Basketball Association, 22 from Major League Baseball, and 23 from the National Hockey League. Utilizing an analogous forecasting approach, a discrete derivation of the Bass model was applied to cumulative BA adoption data. Parameters were then extended to predict cumulative NLP adoption. Resulting BA-estimated parameters (p = .0072, q = .3644) determined a close fit to NLP diffusion (root mean square error of approximation = 3.51, mean absolute error = 2.98), thereby validating BA to predict the takeoff and full adoption of NLP. This study illuminates an ongoing and isomorphic process for diffusion of innovations in the professional sport social system and generates a novel application of diffusion of innovations theory to the sport industry.