Abstract

Organizations are increasingly looking for ways to reap the benefits of cognitive diversity for problem solving. A major unanswered question concerns the implications of cognitive diversity for longer-term outcomes such as team learning, with its broader effects on organizational learning and productivity. We study how cognitive style diversity in teams—or diversity in the way that team members encode, organize and process information—indirectly influences team learning through collective intelligence, or the general ability of a team to work together across a wide array of tasks. Synthesizing several perspectives, we predict and find that cognitive style diversity has a curvilinear—inverted U-shaped—relationship with collective intelligence. Collective intelligence is further positively related to the rate at which teams learn, and is a mechanism guiding the indirect relationship between cognitive style diversity and team learning. We test the predictions in 98 teams using ten rounds of the minimum-effort tacit coordination game. Overall, this research advances our understanding of the implications of cognitive diversity for organizations and why some teams demonstrate high levels of team learning in dynamic situations while others do not.

Highlights

  • Organizations are increasingly seeking the benefits of diversity, the cognitive diversity that can enable the synthesis of different knowledge bases, perspectives, and opinions necessary to solve difficult problems (Uzzi et al, 2013)

  • Given that we are interested in the impact of cognitive diversity on collective intelligence, or a team’s general ability to perform together across a variety of tasks, we focus on these dimensions of cognitive diversity that reflect stable cognitive tendencies that are applicable across contexts (Streufert and Nogami, 1989; Hayes and Allinson, 1998)

  • We found that collective intelligence was a mechanism through which cognitive style diversity indirectly influenced team learning

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Summary

Introduction

Organizations are increasingly seeking the benefits of diversity, the cognitive diversity that can enable the synthesis of different knowledge bases, perspectives, and opinions necessary to solve difficult problems (Uzzi et al, 2013). While a certain amount of cognitive diversity may enhance collective intelligence by supplying the necessary cognitive inputs and differentiators for task work, too much diversity induces high coordination costs as members with different perspectives have a hard time understanding each other (Steiner, 1972; CannonBowers et al, 1993; Cronin and Weingart, 2007; Mello and Rentsch, 2015; Aggarwal and Woolley, 2018). We further predict this hurts collective intelligence in the short run, as well as team learning over the long run (Van der Vegt and Bunderson, 2005)

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