Browsing by Author "Judge, Lawrence W."

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    Motivation, Satisfaction, and Retention of Sport Management Student Volunteers
    (Sagamore Publishing LLC, 2017) Johnson, James E.; Giannoulakis, Chrysostomos; Felver, Nathan; Judge, Lawrence W.; David, Pierce A.; Scott, Beau F.
    Sport management programs often partner with intercollegiate athletic departments or community sport organizations to provide student volunteers. Motivating, satisfying, and retaining the student population may constitute a challenge for academic program stakeholders. The purpose of this study was to examine the relationship between motivation, satisfaction, and retention of volunteers at undergraduate sport management programs. Three hundred and twenty-two undergraduate students from five Midwestern institutions completed a 46-item questionnaire assessing their volunteer motivation, satisfaction, and retention. Results indicated students were predominantly motivated to volunteer by Love of Sport and Career motivation factors. Career, Social, Understanding, and Enhancement motivations significantly aided in predicting satisfaction, while Career, Social, and satisfaction significantly predicted retention. Implications for sport management academic programs and directions for future research are discussed.
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    Who should we hire?: Examining coaching succession in NCAA Division I women’s basketball
    (Sage, 2017-04) Pierce, David A.; Johnson, James E.; Krohn, Brian D.; Judge, Lawrence W.; Tourism, Conventions and Event Management, School of Physical Education and Tourism Management
    The purpose of this study was to evaluate the performance of newly hired coaches in relation to their predecessors, and utilize the analysis to provide guidance to decision makers in college athletic departments. This study examined 185 coaching changes in Division I women’s basketball in 16 conferences between 2000 and 2009. Data were collected from online sources including institutional websites, media guides, and media articles. Latent class analysis was employed to reduce the data to one item per factor. Factors included demographics, coaching ability, coaching experience, past team performance, hiring factors (coaching level change, inside/outside hire, interim, conference affiliation), and institutional factors (public/private, demographic market area, enrollment, budget, and National Association of Collegiate Directors of Athletics standings). Mixed models analysis was performed to identify which categories have a relationship with changes in the number of wins following a coaching change. Results suggest that past team performance was the strongest indicator of future performance after a coaching change.