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Exogenous vs. endogenous governance in innovation communities: Effects on motivation, conflict and justice - An experimental investigation

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  • Störmer, Niclas
  • Herstatt, Cornelius

Abstract

In this study we examine the effects of exogenous vs. endogenous governance rules on a virtual community handling an innovative task. Specifically we investigate the relationship between the two modes (exogenous vs. endogenous) and factors such as motivation, conflict and justice. We conducted an experiment with 70 students, divided into teams of five. We manipulated procedural legitimacy by allowing one group to choose a set of rules and giving the other group the same rules exogenously. Our study indicates, that letting a team choose its own governance rules leads to increasing level of conflict negatively impacting motivation.

Suggested Citation

  • Störmer, Niclas & Herstatt, Cornelius, 2014. "Exogenous vs. endogenous governance in innovation communities: Effects on motivation, conflict and justice - An experimental investigation," Working Papers 82, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    • Handle: RePEc:zbw:tuhtim:82
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    2. André Torre, 2006. "Collective action, governance structure and organizational trust in localized systems of production. The case of the AOC organization of small producers," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 18(1), pages 55-72, January.
    3. Dahlander, Linus & Wallin, Martin W., 2006. "A man on the inside: Unlocking communities as complementary assets," Research Policy, Elsevier, vol. 35(8), pages 1243-1259, October.
    4. Avner Greif, 1997. "On the Social Foundations and Historical Development of Institutions that Facilitate Impersonal Exchange: From the Community Responsibility System to Individual Legal Responsibility in Pre-modern Euro," Working Papers 97016, Stanford University, Department of Economics.
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    Cited by:

    1. A. Alventosa & Y. Gómez & V. Martínez-Molés & J. Vila, 2016. "Location and Innovation Optimism: a Behavioral-Experimental Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(4), pages 890-904, December.
    2. Zeng, Michael A., 2018. "Foresight by online communities – The case of renewable energies," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 27-42.

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    Keywords

    Governance; Collaborative Innovation Communities;

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