Cited by 364Team Dynamics and PerformanceKnowledge Management and SharingGame Theory and Applications

Distribution of Knowledge, Group Network Structure, and Group Performance

Rulke, Diane L., Galaskiewicz, Joseph·2000·Management Science

Abstract

This study investigates the effect of knowledge distribution and group structure on performance in MBA game teams. We found that group performance was contingent on the distribution of knowledge within the group and networks of social relationships among group members. Studying 39 teams of MBA students in two management simulation games, we found that, in general, groups that had broadly distributed knowledge, i.e., groups made up of members who had general knowledge, outperformed groups that had knowledge concentrated in different members, i.e., groups made up of members who had specialized or both specialized and general knowledge. However, the advantage that the former enjoyed over the latter disappeared when groups of specialists or mixed groups had decentralized network structures.

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Crossref · 10.1287/mnsc.46.5.612.12052

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References 45 · Cited by 364

Authors
Rulke, D. L., & Galaskiewicz, J.
Affiliations
  • Royal Holloway University of London (GB)
  • University of Minnesota (US)
Venue
Management Science
Published
2000-05
Volume
46
Issue
5
Pages
612-625
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2073788127
Cited by
364
References
45
Citations by year
2026: 4 · 2025: 7 · 2024: 10 · 2023: 19 · 2022: 10 · 2021: 12 · 2020: 11 · 2019: 12 · 2018: 11 · 2017: 23 · 2016: 15 · 2015: 18 · 2014: 14 · 2013: 32 · 2012: 26
FWCI
10.90
Type
journal article
Language
en
Open access
closed
Locations
  • Management Science (publishedVersion)
  • Research at York St John (York St John University) (acceptedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
  • Social Sciences › Communication › Knowledge Management and Sharing
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
Keywords
knowledge distribution, group performance, interpersonal relationships, management simulation games, MBA students, knowledge specialization, decentralized networks

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