IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v8y2020i2p170-184n6.html

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.21078/JSSI-2020-170-15
    Download Restriction: no
    File URL: https://libkey.io/10.21078/JSSI-2020-170-15?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Joseph K. Goodman & Gabriele Paolacci, 2017. "Crowdsourcing Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(1), pages 196-210.
    2. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    3. Christian Terwiesch & Yi Xu, 2008. "Innovation Contests, Open Innovation, and Multiagent Problem Solving," Management Science, INFORMS, vol. 54(9), pages 1529-1543, September.
    4. Yan Huang & Param Vir Singh & Kannan Srinivasan, 2014. "Crowdsourcing New Product Ideas Under Consumer Learning," Management Science, INFORMS, vol. 60(9), pages 2138-2159, September.
    5. 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.
    6. Tracy Xiao Liu & Jiang Yang & Lada A. Adamic & Yan Chen, 2014. "Crowdsourcing with All-Pay Auctions: A Field Experiment on Taskcn," Management Science, INFORMS, vol. 60(8), pages 2020-2037, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ho Cheung Brian Lee & Anant Mishra, 2025. "Lost Time in Crowdsourcing Contests," Information Systems Research, INFORMS, vol. 36(3), pages 1652-1669, September.
    2. Hu, Feng & Bijmolt, Tammo H.A. & Huizingh, Eelko K.R.E., 2020. "The impact of innovation contest briefs on the quality of solvers and solutions," Technovation, Elsevier, vol. 90.
    3. Pallab Sanyal & Shun Ye, 2024. "An Examination of the Dynamics of Crowdsourcing Contests: Role of Feedback Type," Information Systems Research, INFORMS, vol. 35(1), pages 394-413, March.
    4. Patel, Chirag & Ahmad Husairi, Mariyani & Haon, Christophe & Oberoi, Poonam, 2023. "Monetary rewards and self-selection in design crowdsourcing contests: Managing participation, contribution appropriateness, and winning trade-offs," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    5. Elina H. Hwang & Param Vir Singh & Linda Argote, 2019. "Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities," Information Systems Research, INFORMS, vol. 30(2), pages 389-410, June.
    6. Dargahi, Rambod & Namin, Aidin & Ketron, Seth C. & Saint Clair, Julian K., 2021. "Is self-knowledge the ultimate prize? A quantitative analysis of participation choice in online ideation crowdsourcing contests," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    7. 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.
    8. Jiao, Yuanyuan & Wu, Yepeng & Lu, Steven, 2021. "The role of crowdsourcing in product design: The moderating effect of user expertise and network connectivity," Technology in Society, Elsevier, vol. 64(C).
    9. Andreas H. Heusler & Natasha Z. Foutz & Martin Spann & Lucas Stich, 2025. "The idea marketplace: Diversity, social capital, and innovation," Journal of the Academy of Marketing Science, Springer, vol. 53(1), pages 150-171, January.
    10. Dao, Hung M. & Lehmann, Selina L. & Acar, Oguz A. & Deichmann, Dirk, 2026. "Not all success is created equal: The innovation costs of extreme success," Research Policy, Elsevier, vol. 55(1).
    11. Yuan Jin & Ho Cheung Brian Lee & Sulin Ba & Jan Stallaert, 2021. "Winning by Learning? Effect of Knowledge Sharing in Crowdsourcing Contests," Information Systems Research, INFORMS, vol. 32(3), pages 836-859, September.
    12. repec:eee:respol:v:48:y:2019:i:8:p:- is not listed on IDEAS
    13. Xuefeng Zhang & Bengang Gong & Yaqin Cao & Yi Ding & Jiafu Su, 2022. "Investigating participants’ attributes for participant estimation in knowledge-intensive crowdsourcing: a fuzzy DEMATEL based approach," Electronic Commerce Research, Springer, vol. 22(3), pages 811-842, September.
    14. Dahlander, Linus & Beretta, Michela & Thomas, Arne & Kazemi, Shahab & Fenger, Morten H.J. & Frederiksen, Lars, 2023. "Weeding out or picking winners in open innovation? Factors driving multi-stage crowd selection on LEGO ideas," Research Policy, Elsevier, vol. 52(10).
    15. Nirup Menon & Anant Mishra & Shun Ye, 2020. "Beyond Related Experience: Upstream vs. Downstream Experience in Innovation Contest Platforms with Interdependent Problem Domains," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 1045-1065, September.
    16. Pescher, Christian & Tellis, Gerard J. & Füller, Johann, 2025. "Ideators’ success in innovation tournaments: Participation, productivity, or pressure?," International Journal of Research in Marketing, Elsevier, vol. 42(2), pages 335-364.
    17. Moghaddam, Ehsan Noorzad & Aliahmadi, Alireza & Bagherzadeh, Mehdi & Markovic, Stefan & Micevski, Milena & Saghafi, Fatemeh, 2023. "Let me choose what I want: The influence of incentive choice flexibility on the quality of crowdsourcing solutions to innovation problems," Technovation, Elsevier, vol. 120(C).
    18. Juncai Jiang & Yu Wang, 2020. "A Theoretical and Empirical Investigation of Feedback in Ideation Contests," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 481-500, February.
    19. Pollok, Patrick & Lüttgens, Dirk & Piller, Frank T., 2019. "Attracting solutions in crowdsourcing contests: The role of knowledge distance, identity disclosure, and seeker status," Research Policy, Elsevier, vol. 48(1), pages 98-114.
    20. Oguz Ali Acar, 2018. "Harnessing the creative potential of consumers: money, participation, and creativity in idea crowdsourcing," Marketing Letters, Springer, vol. 29(2), pages 177-188, June.
    21. Paolo Roma & Esther Gal-Or & Rachel R. Chen, 2018. "Reward-Based Crowdfunding Campaigns: Informational Value and Access to Venture Capital," Information Systems Research, INFORMS, vol. 29(3), pages 679-697, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:jossai:v:8:y:2020:i:2:p:170-184:n:6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyterbrill.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.