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Pair programming teams and high-quality knowledge sharing: A comparative study of coopetitive reward structures

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  • Shahla Ghobadi

    (The University of Manchester)

  • John Campbell

    (University of Canberra)

  • Stewart Clegg

    (University of Technology)

Abstract

There has been a growing research interest in understanding knowledge sharing in agile development. Yet, empirical research that sheds light on its underlying practices, such as pair programming, is evolving. This study uses insights from coopetition and software literature to focus inquiry on the relation between coopetitive rewards and high-quality knowledge sharing in pair programming teams. Theoretical hypotheses are developed and validated, suggesting that: ‘coopetitive rewards influence high-quality knowledge sharing both directly and over time through their impact on the level of knowledge sharing satisfaction’, and, ‘the impact of coopetitive rewards on high-quality knowledge sharing is dependent upon task complexity and the history of working under similar reward structure’. This study generates new understanding related to the use of rewards in pair programming teams, and offers a rigorous and replicable seven-step experimental process for simulating coopetitive structures and investigating their role in pair programming and in similar collaborative contexts.

Suggested Citation

  • Shahla Ghobadi & John Campbell & Stewart Clegg, 2017. "Pair programming teams and high-quality knowledge sharing: A comparative study of coopetitive reward structures," Information Systems Frontiers, Springer, vol. 19(2), pages 397-409, April.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:2:d:10.1007_s10796-015-9603-0
    DOI: 10.1007/s10796-015-9603-0
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    References listed on IDEAS

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    Cited by:

    1. Danilov, Anastasia & Harbring, Christine & Irlenbusch, Bernd, 2019. "Helping under a combination of team and tournament incentives," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 120-135.

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