Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/49946

The Effect of Software Team Personality Composition on Learning and Performance: Making the "Dream" Team

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Title: The Effect of Software Team Personality Composition on Learning and Performance: Making the "Dream" Team
Authors: Anderson, Greg
Keith, Mark J.
Francisco, Julianne
Fox, Sarah
Keywords: Social and Psychological Perspectices in Collaboration Research
Big 5, cluster analysis, personality, software development, teams
Issue Date: 03 Jan 2018
Abstract: Optimizing work team composition in organizational and educational environments is an important task toward maximizing performance. Social science research has revealed that personality trait composition influences team cohesion and performance. However, this research has not been well-adapted into the IS context. In addition, prior research demonstrates how individual personality traits impact teams, but fails to appropriately characterize overall team personality composition. We expand this research by 1) characterizing holistic personality compositions, and 2) examining team learning in addition to performance in the IS context. We draw from theory on team performance and "Big 5" trait composition. Results demonstrate that teams comprised of homogenous versus heterogeneous personality compositions differ in their performance and learning. The primary implication of this research is that teams can benefit from a priori personality measurements and directed composition. Initially, optimal learning and effectiveness comes from homogenous teams. However, this may change over time.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/49946
ISBN: 978-0-9981331-1-9
DOI: 10.24251/HICSS.2018.059
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Social and Psychological Perspectices in Collaboration Research


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