Deep-Level Team Composition and Innovation

Abstract

This study proposes and tests a process model linking deep-level team composition and innovation. Two cognitive styles, sequential thinking and connective thinking, are the deep-level team attributes hypothesized to affect team innovation. Psychological safety and cooperative learning are hypothesized to link cognitive styles and innovation at the team level. Findings from a sample of 83 natural innovation teams with dual-source data indicate that sequential thinking contributes to decreases in team innovation by inhibiting psychological safety, while connective thinking helps improve team innovation through increased cooperative learning. Implications for research and practice are discussed.

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