Teamharmony: employing matchmaking algorithms to team-building
MacGregor, Ian B.
Tomberlin, Jared D.
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The Army is concerned with ways in which it can improve talent management. It focuses almost exclusively upon individuals and their unique qualifications and experiences. However, the Army is not a collection of individuals, rather, it is a collection of teams. Our research examines the applicability of using matchmaking algorithms to model team chemistry to optimize job placement. We adopted a practical, qualitative approach, using data from discussions with subject matter experts, as well as a review of the relevant literature. We found that although the social science community has not reached a consensus concerning human chemistry, the tech community has found ways to predict a measure of human chemistry, and Army Special Operations Forces leaders should consider pilot efforts to improve talent management using these algorithms to augment current methods. For instance, the Robin Sage exercise during the Special Forces Qualification Course would provide an ideal venue.
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MacGregor, Ian; Tomberlin, Jared (2017-11);Research Question: To what extent is it possible to predict human chemistry through the use of algorithms, with the intent of improving Army talent management and team effectiveness?
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