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

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.