The daily fantasy sports (DFS) industry came under heavy criticism for marketing messages focused on the potential for financial gain despite overwhelming evidence that only a small percentage of participants were actually winning money. Under pressure, many DFS websites are shifting their focus toward the activity’s entertainment value. The purpose of the current study is to determine if participants exhibit cognitive and behavioral differences based on their reason for playing. In this study, a sample of DFS participants was segmented based on intrinsic (entertainment) and extrinsic (financial gain) motivation scores. Once separated, cognitive and behavioral contrasts were drawn. The results indicated those individuals motivated by financial gain were more similar to problem gamblers cognitively, yet those intrinsically motivated spent more time and money on the activity. Given the changing legal status of sports betting in the United States, managers and policymakers should carefully consider the risks associated with DFS participation.
Joris Drayer, Brendan Dwyer, and Stephen L. Shapiro
Brendan Dwyer, Joris Drayer, and Stephen L. Shapiro
Following a mega-advertising blitz in the late summer of 2015, daily fantasy sports (DFSs) entered a maturing fantasy sports market as a new, highly accessible, and potentially lucrative alternative to traditional, season-long fantasy sports. The two activities share a name but represent substantially different business models. In the view of some policy makers and state legislatures, DFS appeared to resemble a new form of sports wagering and as a result, several U.S. states banned the activity. The current study examined the consumption behavior differences and gambling-related dispositions of those fantasy participants who play DFS and those who do not. A total of 314 fantasy football participants were surveyed, and the results contribute to what we know about gambling and DFS participation. Although distinct differences were found between the two groups, the overall assessment of the findings suggest DFS participation appears to align more with highly involved traditional, season-long fantasy sports participation than other forms of gambling.
Stephen L. Shapiro and Joris Drayer
In 2010, the San Francisco Giants became the first professional team to implement a comprehensive demand-based ticket pricing strategy called dynamic ticket pricing (DTP). In an effort to understand DTP as a price setting strategy, the current investigation explored Giants’ ticket prices during the 2010 season. First, the relationship between fixed ticket prices, dynamic ticket prices, and secondary market ticket prices for comparable seats were examined. In addition, seat location and price changes over time were examined to identify potential effects on ticket price in the primary and secondary market. Giants’ ticket price data were collected for various games throughout the 2010 season. A purposive selection of 12 games, which included (N = 1,316) ticket price observations, were chosen in an effort to include a multitude of game settings. Two ANOVA models were developed to examine price differences based on pricing structure, market, section, and time. Findings showed significant differences between fixed ticket prices, dynamic ticket prices, and secondary market ticket prices, with fixed ticket prices on the low end and secondary market ticket prices on the high end of the pricing spectrum. Furthermore, time was found to have a significant influence on ticket price; however, the influence of time varied by market and seat location. These findings are discussed and both theoretical and practical implications are considered.
Nicholas M. Watanabe, Stephen Shapiro, and Joris Drayer
Big data and analytics have become an essential component of organizational operations. The ability to collect and interpret significantly large data sets has provided a wealth of knowledge to guide decision makers in all facets of society. This is no different in sport management where big data has been used on and off the field to guide decision making across the industry. As big data evolves, there are concerns regarding the use of enhanced analytic techniques and their advancement of knowledge and theory. This special issue addresses these concerns by advancing our understanding of the use of big data in sport management research and how it can be used to further scholarship in the sport industry. The six articles in this special issue each play a role in advancing sport analytics theory, producing new knowledge, and developing new inquiries. The implications discussed in these articles provide a foundation for future research on this evolving area within the field of sport management.
Jeremy S. Jordan, Stephen Dittmore, Melanie Sartore-Baldwin, and Stephen Shapiro
Craig A. Morehead, Brendan O’Hallarn, and Stephen L. Shapiro
The Internet has drastically changed how society seeks and consumes information. One influential change in the communication process is the widespread use—and perhaps abuse—of user-generated content. If provided a frame of reference to help direct the discussion, such as a news story, comment functions can act as a proxy “town hall” in a virtual setting. Unique to this cyber town hall, however, is the sense of anonymity that leads some users to post content they would not normally voice in a public context. This investigation intertwines uses-and-gratifications theory and online disinhibition effect by analyzing anonymous-comment postings on a newspaper Web site. Seven newspaper stories on the campus master plan and football-stadium proposal at Old Dominion University demonstrate the sociological underpinnings where sports, education, economics, and politics intersect in an anonymous forum where users can relay their opinion on the subject while remaining invisible and unidentified.
Stephen L. Shapiro, Tim DeSchriver, and Daniel A. Rascher
Luxury suites have become a key revenue source and an important element of sport facility design for professional sport organizations. There are a variety of factors influencing the pricing of luxury suites; however, the recent recession has impacted the premium seat sales market significantly. The current investigation was the first empirical examination of luxury suite pricing determinants for professional sport facilities. An economic model, utilizing multiple regression analysis, was constructed to examine the relationship between the current price of luxury suites for major North American professional sports facilities and selected demographic, economic, and team/facility/league-specific explanatory variables, in a uncertain economic climate. The final economic models were found to be significant, explaining 57% and 60% of the variability in luxury suite prices, respectively. Significant variables of interest included team performance and league affiliation, which had a positive influence and the number of competing venues, which had a negative influence on luxury suite prices. The current findings further the body of knowledge in the pricing of admissions to sporting events though the development of the first pricing determinants models for luxury suites, which take into consideration the tenuous economic environment.
Stephen L. Shapiro, Lynn L. Ridinger, and Galen T. Trail
The growth of college sport over the last several years, combined with increased competition for the sport consumer dollar, has created a need to understand spectator consumption behavior. In addition, the impact of a new football program can generate interest that influences future spectator spending decisions. Using identity theory as a framework, the current study examined the differential effects of past sport consumer behaviors on various future sport consumer intentions within the context of a new college football program. Consumption intentions included attendance, sponsor support, and merchandise purchases. Furthermore, this investigation helped to determine how much variance past behaviors would explain in behavioral intentions after controlling for nine points of attachment. Data were collected from spectators of a Football Championship Subdivision (FCS) football program located in the Mid-Atlantic region. The findings suggest past behavior predicted future intentions; however, the amount of variance explained varied dramatically depending on specific past behaviors and points of attachment. These results can help sport marketers develop strategies to capitalize on the interest generated through new athletic programs.