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Free-riding in multi-party alliances: The role of perceived alliance effectiveness and peers' collaboration in a research consortium

Author

Listed:
  • Fabio Fonti

    (ESC [Rennes] - ESC Rennes School of Business)

  • Massimo Maoret

    (IESE Business School - IESE Business School)

  • Robert Whitbred

Abstract

Multi-party alliances rely on partners' willingness to commit and pool their efforts in joint endeavors. However, partners face the dilemma of how much to commit to the alliance. We shed light on this issue by analyzing the relationship between partners' free-riding-defined as their effort-withholding-and their perceptions of alliance effectiveness and peers' collaboration. Specifically, we posit a U-shaped relationship between partners' subjective evaluations of alliance effectiveness and their free-riding. We also hypothesize a negative relation between partners' perceptions of the collaboration of peer organizations and their free-riding. Results from a mixed-method study-combining regression analysis of primary data on a major inter-organizational research consortium and evidence from two experimental designs-support our hypotheses, bearing implications for the multi-party alliances literature. Managerial summary: Free-riding is a major concern in multi-party alliances such as large research consortia, since the performance of these governance forms hinges on the joint contribution of multiple partners that often operate according to different logics (e.g., universities, firms, and government agencies). We show that, in such alliances, partners' perceptions have relevant implications for their willingness to contribute to the consortium's shared goals. Specifically, we find that partners free-ride more-that is, contribute less-when they perceive the effectiveness of the overall alliance to be either very low or very high. Partners also gauge their commitment to the alliance on the perception of the effort of their peers-that is, other organizations similar to them. These findings provide managers of multi-party alliances with additional levers to motivate partners to contribute fairly to such joint endeavor.

Suggested Citation

  • Fabio Fonti & Massimo Maoret & Robert Whitbred, 2017. "Free-riding in multi-party alliances: The role of perceived alliance effectiveness and peers' collaboration in a research consortium," Post-Print hal-02006440, HAL.
  • Handle: RePEc:hal:journl:hal-02006440
    DOI: 10.1002/smj.2470
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    Citations

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    Cited by:

    1. Stienstra, Miranda, 2020. "The determinants and performance implications of alliance partner acquisition," Other publications TiSEM 7fdee0c2-d4d2-4f5b-95e3-2, Tilburg University, School of Economics and Management.
    2. Krijkamp, Annefleur R. & Knoben, Joris & Oerlemans, Leon A.G. & Leenders, Roger T.A.J., 2021. "An ace in the hole: The effects of (in)accurately observed structural holes on organizational reputation positions in whole networks," Journal of Business Research, Elsevier, vol. 129(C), pages 703-713.
    3. Hafezi, Maryam & Zhao, Xuan & Zolfagharinia, Hossein, 2023. "Together we stand? Co-opetition for the development of green products," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1417-1438.
    4. Peng Wang & Yongyuan Ma & Zhongquan Hu, 2018. "Unraveling the effect of alliance experience on alliance formation and alliance governance structure: A meta-analytic approach," Australian Journal of Management, Australian School of Business, vol. 43(4), pages 653-671, November.
    5. Arakpogun, Emmanuel Ogiemwonyi & Elsahn, Ziad & Nyuur, Richard B. & Olan, Femi, 2020. "Threading the needle of the digital divide in Africa: The barriers and mitigations of infrastructure sharing," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Diego Zunino & Fernando F. Suarez & Stine Grodal, 2019. "Familiarity, Creativity, and the Adoption of Category Labels in Technology Industries," Organization Science, INFORMS, vol. 30(1), pages 169-190, February.
    7. Gerges-Yammine, Rand & Ter Wal, Anne L.J., 2023. "Firm exit from open multiparty alliances: The role of social influence, uncertainty, and interfirm imitation in collective technology development," Research Policy, Elsevier, vol. 52(4).
    8. Brinster, Leonhard & Tykvová, Tereza, 2021. "Connected VCs and strategic alliances: Evidence from biotech companies," Journal of Corporate Finance, Elsevier, vol. 66(C).
    9. De Silva, Muthu & Rossi, Federica & Yip, Nick K.T. & Rosli, Ainurul, 2021. "Does affective evaluation matter for the success of university-industry collaborations? A sentiment analysis of university-industry collaborative project reports," Technological Forecasting and Social Change, Elsevier, vol. 163(C).

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