Abstract
This research applies and integrates transactive memory systems (TMS) theory and the Big Five personality traits model to investigate the performance dynamics of dyadic teams engaged in virtual collaborative problem-solving (CPS). Specifically, this study examines how the personal attributes of team members, including their expertness and Big Five personality traits (extraversion, agreeableness, openness, conscientiousness, and neuroticism), as well as the resultant diversity in expertness and Big Five personality traits within teams, influence both team-level and individual-level performance gain from virtual collaboration. Studying 377 dyadic teams composed of 754 individuals working on an online collaborative intellective task, this research found that dyads with high expertness diversity had greater performance gain from virtual collaboration than dyads with low expertness diversity. Further, dyads, where both members scored low on agreeableness, showed the most significant improvement in team performance. At the individual level, a team member who had a low expertness level but was paired with a high-expertness teammate demonstrated the greatest performance gain from virtual collaboration. The integration of TMS theory and the Big Five personality traits model provides a richer and more nuanced understanding of how individual attributes and team dynamics contribute to successful virtual CPS outcomes.
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Details
; Su, Chunke 2
; Hao, Jiangang 3 ; Liu, Lei 3 ; Kyllonen, Patrick 3 ; von Davier, Alina 4 1 University of Science and Technology of China, School of Humanities and Social Sciences, Hefei, P.R. China (GRID:grid.59053.3a) (ISNI:0000000121679639); Anhui Province Key Laboratory of Science Education and Communication, Hefei, P.R. China (GRID:grid.59053.3a)
2 University of Texas at Arlington, Department of Communication, Arlington, USA (GRID:grid.267315.4) (ISNI:0000 0001 2181 9515)
3 Educational Testing Service, Princeton, USA (GRID:grid.286674.9) (ISNI:0000 0004 1936 9051)
4 Duolingo Inc., Pittsburgh, USA (GRID:grid.286674.9) (ISNI:0000 0004 9332 0969)




