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The impact of individual versus group rewards on work group performance and cooperation: A computational social science approach

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journal contribution
posted on 2015-04-24, 15:12 authored by Daniel Ladley, I. Wilkinson, L. Young
Purpose To examine the effect of individual versus group evaluation and reward systems on work group behavior and performance under different task conditions. Methodology Uses computational social methods using Agent Based Models to simulate work group interactions as different forms of iterated games. Findings Group based systems outperform individual based and mixed systems, producing more cooperative behavior, the best performing groups and individuals in most types of interaction games. A new role emerges, the self-sacrificer, who plays a critical role in enabling other group members and the group, to perform better at their own expense. Research Implications Suggest opportunities for model development and guidelines for designing real world experiments. Practical Implications Helps firms engineer better performing work groups as well as the design of other business systems. Social Implications Identifies mechanisms by which cooperation can be developed in social systems. Originality/Value Demonstrates the role and value of computational social science methods and agent based models to business research.

History

Citation

Journal of Business Research (2015)

Author affiliation

/Organisation/COLLEGE OF SOCIAL SCIENCE/Department of Economics

Version

  • VoR (Version of Record)

Published in

Journal of Business Research (2015)

Publisher

Elsevier

issn

0148-2963

Available date

2015-04-24

Publisher version

http://www.sciencedirect.com/science/article/pii/S0148296315001022

Notes

35 pages, 2 tables, 2 figures under review

Language

en

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