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How to Bid Success in Crowdsourcing Contest? ― Evidence from the Translation Tasks of Tripadvisor

Author

Listed:
  • Dong Kunxiang

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan250014, China)

  • Sun Yan

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan250014, China)

  • Xie Zongxiao

    (China Financial Certification Authority, Beijing100054, China)

  • Zhen Jie

    (School of Business Planning, Chongqing Technology and Business University, Chongqing400067, China)

Abstract

Material incentive is the main motivation for solvers to attend crowdsourcing tasks. So raising the bidding success rate is benefit to inspire the solvers attendance’ and increase the answering quality. This paper analyzes the effect of participation experience, task-fit capability, participation strategy and task attribute on the solvers bidding success by the solvers attending the series tasks of Tripadvisor. The results show that: 1) Participation times enrich the participation experiences and promote the bidding success, while bidding success times and last performances lower the bidding success because of the cognitive fixation; 2) The chance of bidding success will be increase when the solver own high task-fit capability; 3) The relationship between task submit sequence and bidding success is the type of reverse U shape, and the optimal submit sequence rate on the top of the reverse U shape; 4) Higher task difficulty lower bidding success, while higher task density easier bidding success.

Suggested Citation

  • Dong Kunxiang & Sun Yan & Xie Zongxiao & Zhen Jie, 2020. "How to Bid Success in Crowdsourcing Contest? ― Evidence from the Translation Tasks of Tripadvisor," Journal of Systems Science and Information, De Gruyter, vol. 8(2), pages 170-184, April.
    • Handle: RePEc:bpj:jossai:v:8:y:2020:i:2:p:170-184:n:6
    DOI: 10.21078/JSSI-2020-170-15
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    References listed on IDEAS

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