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Factors Influencing the Bid‐Winning of Respondents in the Context of Crowdsourcing

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  • Yanjing Xu
  • Yue Lu

Abstract

This article takes crowdsourcing as the research background, collects secondary data from the Yipin Freelancer website, constructs panel data of “respondent–date,” and uses the research framework of the elaboration likelihood model (ELM) to study the key factors influencing the bid‐winning probability of respondents. The study found that for the central path, there is a nonlinear inverted U‐shaped relationship between the respondents' success experience and skill diversity and the bid‐winning probability. For the peripheral path of task settings, the study found that a larger task bonus, more bonus recipients, and longer task deadlines are beneficial for respondents to win bids successfully. Finally, this article discusses the theoretical and practical significance of the research.

Suggested Citation

  • Yanjing Xu & Yue Lu, 2025. "Factors Influencing the Bid‐Winning of Respondents in the Context of Crowdsourcing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(2), pages 1167-1173, March.
    • Handle: RePEc:wly:mgtdec:v:46:y:2025:i:2:p:1167-1173
    DOI: 10.1002/mde.4426
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    References listed on IDEAS

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    1. Joel O. Wooten & Karl T. Ulrich, 2017. "Idea Generation and the Role of Feedback: Evidence from Field Experiments with Innovation Tournaments," Production and Operations Management, Production and Operations Management Society, vol. 26(1), pages 80-99, January.
    2. Congcong Yang & Hua Jonathan Ye & Yuanyue Feng, 2021. "Using gamification elements for competitive crowdsourcing: exploring the underlying mechanism," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(9), pages 837-854, July.
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