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Social interdependence on crowdsourcing platforms

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  • Renard, Damien
  • Davis, Joseph G.

Abstract

As part of their embrace of open innovation, many organizations have established innovation contests to gather creative ideas from online users. Some of these contests are deployed on platforms that use hybrid coopetitive models to promote a combination of competition and cooperation. In this paper, we use a theoretical framework, namely social interdependence theory, to understand and explain the behaviors of users of idea crowdsourcing platforms to support organizational innovation. In our empirical study using both behavioral and social network data of 19,516 registered users of a crowdsourcing platform, we first analyze different user profiles that display varying levels of competitive and cooperative behaviors. Second, through a qualitative analysis, we explore the users' perceptions of the structured coopetition model. Our results reveal that the mixture of cooperative and competitive design features positively impacts the creative process and nudges the nature of competition along constructive lines.

Suggested Citation

  • Renard, Damien & Davis, Joseph G., 2019. "Social interdependence on crowdsourcing platforms," Journal of Business Research, Elsevier, vol. 103(C), pages 186-194.
    • Handle: RePEc:eee:jbrese:v:103:y:2019:i:c:p:186-194
    DOI: 10.1016/j.jbusres.2019.06.033
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    References listed on IDEAS

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    Cited by:

    1. Abril, Carmen & Gimenez-Fernandez, Elena M. & Camacho-Miñano, María-del-Mar, 2024. "Using gamification to overcome innovation process challenges: A literature review and future agenda," Technovation, Elsevier, vol. 133(C).
    2. Hyeon Jo & Youngsok Bang, 2023. "RETRACTED ARTICLE: Factors influencing continuance intention of participants in crowdsourcing," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    3. Xu, Hui & Wu, Yang & Hamari, Juho, 2022. "What determines the successfulness of a crowdsourcing campaign: A study on the relationships between indicators of trustworthiness, popularity, and success," Journal of Business Research, Elsevier, vol. 139(C), pages 484-495.
    4. Ren, Jie & Han, Yue & Genc, Yegin & Yeoh, William & Popovič, Aleš, 2021. "The boundary of crowdsourcing in the domain of creativity✰," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    5. Shi, Xiaoxiao & Evans, Richard & Shan, Wei, 2022. "Solver engagement in online crowdsourcing communities: The roles of perceived interactivity, relationship quality and psychological ownership," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    6. Smith, Claudia G. & Smith, J. Brock, 2021. "Founders' uses of digital networks for resource acquisition: Extending network theory online," Journal of Business Research, Elsevier, vol. 125(C), pages 466-482.

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