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Group rewards, group composition and information sharing: A motivated information processing perspective

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  • Super, Janice Francis
  • Li, Pingshu
  • Ishqaidef, Ghadir
  • Guthrie, James P.

Abstract

Invoking the Motivated Information Processing in Groups (MIP-G) model, we argue that group performance-based pay plays a dual role in stimulating both epistemic and prosocial motivation. We experimentally examine the effects of group incentives on information sharing both directly and as a substitute for personality-based epistemic and prosocial motivators. Results support a relationship between group performance-based pay and increased dispersed information sharing. The interaction effects of pay conditions and group composition provide additional support for a dual role for group-based pay. For groups low in openness-to-experience, pay based on group-performance enhances dispersed information-sharing. For groups low in agreeableness, a group pay-for-performance condition leads to more time in discussion which leads to greater sharing of dispersed information. Finally, through effects on discussion time and information sharing, group performance-based rewards increase task performance. By explicating the role of group rewards on information sharing, our study contributes to the MIP-G and decision-making literatures.

Suggested Citation

  • Super, Janice Francis & Li, Pingshu & Ishqaidef, Ghadir & Guthrie, James P., 2016. "Group rewards, group composition and information sharing: A motivated information processing perspective," Organizational Behavior and Human Decision Processes, Elsevier, vol. 134(C), pages 31-44.
    • Handle: RePEc:eee:jobhdp:v:134:y:2016:i:c:p:31-44
    DOI: 10.1016/j.obhdp.2016.04.002
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    8. Xue Cheng & Qingpu Zhang, 2018. "How to Develop the Interdisciplinary Innovation Teams Sustainably?—A Simulation Model from a Perspective of Knowledge Fission and Fusion," Sustainability, MDPI, vol. 10(9), pages 1-21, September.

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