PurposeServant leadership is primarily focused on the empowerment and moral development of followers (Burton et al., 2017). Within sports research, little is known about how servant leadership interacts with organizational culture in teams. Thus, the purpose of this study is to assess the servant leadership of one head baseball coach and examine the degree to which servant leadership affects the program's culture.Design/methodology/approachData were collected for this case study of an NCAA Division III head baseball coach throughout one academic year. Sources included 12 interviews (ranging from four minutes to 92 min), observation of practices and games, textual analysis of documents and websites, as well as the coach's reflection journal. Data were analyzed using a six-phase process of thematic analysis (Braun and Clarke, 2006).FindingsThe participant exhibited the following servant leadership behaviors: empowering, helping subordinates grow and succeed, behaving ethically, and conceptual skills (Liden et al., 2015, 2008). In addition, the program maintained a culture featuring a few distinct artifacts, very clear espoused values, and three deeply held basic assumptions. The findings suggest that the head coach used servant leadership not to create or change culture but instead to amplify the existing culture of the baseball program.Originality/valueThere is strong evidence of a link between servant leadership and team culture, which is context-bound. At the Division III level, servant leadership behaviors can be used to embody a program's culture. Furthermore, through this embodiment, servant leaders can perpetuate an effective, functioning team culture, particularly within intercollegiate athletics.
In a close game of basketball, victory or defeat can depend on a single shot. Being able to identify the best player and play scenario for a given opponent’s defense can increase the likelihood of victory. Progress in technology has resulted in an increase in the popularity of sports analytics over the last two decades, where data can be used by teams and individuals to their advantage. A popular data analytic technique in sports is deep learning. Deep learning is a branch of machine learning that finds patterns within big data and can predict future decisions. The process relies on a raw dataset for training purposes. It can be utilized in sports by using deep learning to read the data and provide a better understanding of where players can be the most successful. In this study the data used were on division I women’s basketball games of a private university in a conference featuring top 25 teams. Deep learning was applied to optimize the best offensive play in a game scenario for a given set of features. The system is used to predict the play that would lead to the highest probability of a made shot.
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