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Factors influencing bid-winning performance in mixed crowdsourcing: The persuasive effect of credible information sources

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  • Xu, Yanjing
  • Zhu, Jianming
  • Mou, Jian

Abstract

Mixed crowdsourcing is increasingly becoming the main organizational model of domestic crowdsourcing platforms. However, research on the interpretation of winning performance fails to focus on the persuasive effect of the credibility of the contractor's information source on the contractee's decision making. Based on source credibility theory (SCT), this study constructs a model of the factors influencing the contractor's bid-winning performance based on three aspects—credibility, professionalism, and attractiveness—and examines the moderating effect of positive contractor evaluations from previous tasks on the bid decision. The results reveal that integrity guarantee and contact authentication (which belong to the credibility dimension), as well as ability level and professional identity (professionalism dimension) positively affect the contractor's bid-winning performance, and that an inverted-U-shaped relationship exists between the number of services displayed by the contractors (attractiveness dimension) and bid-winning performance.

Suggested Citation

  • Xu, Yanjing & Zhu, Jianming & Mou, Jian, 2021. "Factors influencing bid-winning performance in mixed crowdsourcing: The persuasive effect of credible information sources," Technology in Society, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:teinso:v:65:y:2021:i:c:s0160791x21000142
    DOI: 10.1016/j.techsoc.2021.101539
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    References listed on IDEAS

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    1. Shin, Joonho & Mendoza, Xavier & Hawkins, Matthew A. & Choi, Changbum, 2017. "The relationship between multinationality and performance: Knowledge-intensive vs. capital-intensive service micro-multinational enterprises," International Business Review, Elsevier, vol. 26(5), pages 867-880.
    2. Emmanuel W. Ayaburi & Jaeung Lee & Michele Maasberg, 0. "Understanding Crowdsourcing Contest Fitness Strategic Decision Factors and Performance: An Expectation-Confirmation Theory Perspective," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    3. Joon-Ho Shin & Xavier Mendoza & Matthew Hawkins & Changbum Choi, 2017. "The Relationship between Multinationality and Performance: Knowledge-Intensive vs. Capital-Intensive Service Micro-Multinational Enterprises," Post-Print hal-01515121, HAL.
    4. Christian Terwiesch & Yi Xu, 2008. "Innovation Contests, Open Innovation, and Multiagent Problem Solving," Management Science, INFORMS, vol. 54(9), pages 1529-1543, September.
    5. Sokolova, Karina & Kefi, Hajer, 2020. "Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    6. Kevin J. Boudreau & Nicola Lacetera & Karim R. Lakhani, 2011. "Incentives and Problem Uncertainty in Innovation Contests: An Empirical Analysis," Management Science, INFORMS, vol. 57(5), pages 843-863, May.
    7. Dominik Mahr & Aric Rindfleisch & Rebecca Slotegraaf, 2015. "Enhancing Crowdsourcing Success: the Role of Creative and Deliberate Problem-Solving Styles," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(3), pages 209-221, September.
    8. Chrysanthos Dellarocas, 2005. "Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard," Information Systems Research, INFORMS, vol. 16(2), pages 209-230, June.
    9. Visentin, Marco & Pizzi, Gabriele & Pichierri, Marco, 2019. "Fake News, Real Problems for Brands: The Impact of Content Truthfulness and Source Credibility on consumers' Behavioral Intentions toward the Advertised Brands," Journal of Interactive Marketing, Elsevier, vol. 45(C), pages 99-112.
    10. Sriram Narayanan & Sridhar Balasubramanian & Jayashankar M. Swaminathan, 2009. "A Matter of Balance: Specialization, Task Variety, and Individual Learning in a Software Maintenance Environment," Management Science, INFORMS, vol. 55(11), pages 1861-1876, November.
    11. Melissa A. Schilling & Patricia Vidal & Robert E. Ployhart & Alexandre Marangoni, 2003. "Learning by Doing Something Else: Variation, Relatedness, and the Learning Curve," Management Science, INFORMS, vol. 49(1), pages 39-56, January.
    12. Ho Cheung Brian Lee & Sulin Ba & Xinxin Li & Jan Stallaert, 2018. "Salience Bias in Crowdsourcing Contests," Information Systems Research, INFORMS, vol. 29(2), pages 401-418, June.
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