<p> The purpose of this study is to provide managers in both educational institutions and student organizations with empirically-based recommendations for how to best manage student organization workforces to achieve engagement and retention. The research questions ask (a) how educational institutions and student organizations strategically manage advisor talent to attract, engage, and retain advisors in their roles and (b) what talent management strategies can be applied to sustain a competent, satisfied, and engaged student organization advisor workforce. Through a systematic review methodology with an evidence-based management perspective to configure the best available evidence for synthesis, this dissertation incorporates organizational citizenship theory, the functional theory of volunteerism, and strategic talent management theory to reach the conclusions. Study findings confirm that student organization advisor service is linked to all elements of the functional theory of volunteerism but is primarily motivated by the values function first and then the career functions. Furthermore, student organization advisor service is a form of organizational citizenship behavior, and the values function of volunteerism is the antecedent to service as an advisor. Finally, it was determined that strategic talent management practices can be applied to student organization advisors, but such practices are not being implemented by key stakeholders. A theoretical model of advisor involvement and suggestions for implementation are presented to address this gap in practice. As a result of these findings, a model for practice that incorporates key strategic talent management practices to address fundamental advisor needs has been developed with an evidence-based blueprint for implementation.</p><p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:13424162 |
| Date | 09 February 2019 |
| Creators | Victor, Jeffrey R. |
| Publisher | University of Maryland University College |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
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