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Journal of Applied Sport Management

Coaching

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Political Skill For Sport Professionals: Theory, Research, And Career Success Implications, G. Matthew Robinson, Marshall J. Magnusen, Glenn Miller Dec 2020

Political Skill For Sport Professionals: Theory, Research, And Career Success Implications, G. Matthew Robinson, Marshall J. Magnusen, Glenn Miller

Journal of Applied Sport Management

Motivated by an increasing interpersonal aspect to the profession of sport coaching, the importance of being socially effective as a coach has multiplied in significance. This review specifically considers the social effectiveness construct, political skill, as a crucial aspect to career success through the perspective of a sport coaching lens. Political skill refers to the ability to effectually understand others at work, and to then use that information to influence others to behave in ways that enhance one’s personal and/or organizational objective. Political skill is a means through which sport coaches may be able to build and maintain important and …


The Reputation Playbook: Exploring How Reputation Can Be Leveraged To Improve Recruiting Effectiveness In Ncaa Men’S Basketball, Marshall J. Magnusen, Charn P. Mcallister, Jun Woo Kim, Pamela L. Perrewé, Gerald R. Ferris Jan 2017

The Reputation Playbook: Exploring How Reputation Can Be Leveraged To Improve Recruiting Effectiveness In Ncaa Men’S Basketball, Marshall J. Magnusen, Charn P. Mcallister, Jun Woo Kim, Pamela L. Perrewé, Gerald R. Ferris

Journal of Applied Sport Management

Reputation is a critical factor in the recruiting process. Organizational reputation also is a complex variable. Different dimensions of reputation may play very different roles in attracting recruits. In this study, a multidimensional (i.e., performance, character/integrity, support) reputation model is used to predict male basketball recruits’ university choice. Data were collected on the ESPN Top 100 male high school athletes recruited to NCAA Division I basketball programs for each year from 2010–2014 (n = 500). Probit regression analyses using maximum likelihood estimation predicted to what extent each reputation-based dimension affected the likelihood of an athlete selecting a university.