IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v65y2021ics0160791x21000142.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X21000142
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2021.101539?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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).
    5. 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.
    6. Christian Terwiesch & Yi Xu, 2008. "Innovation Contests, Open Innovation, and Multiagent Problem Solving," Management Science, INFORMS, vol. 54(9), pages 1529-1543, September.
    7. 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.
    8. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liao, Miyan & Fang, Jiaming & Han, Lintong & Wen, Ling & Zheng, Qiqi & Xia, Guoen, 2023. "Boosting eCommerce sales with livestreaming in B2B marketplace: A perspective on live streamers’ competencies," Journal of Business Research, Elsevier, vol. 167(C).

    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. 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.
    2. Tekic, Anja & Alfonzo Pacheco, Diana Vilma, 2024. "Contest design and solvers' engagement behaviour in crowdsourcing: The neo-configurational perspective," Technovation, Elsevier, vol. 132(C).
    3. 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.
    4. 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.
    5. Gad Allon & Georgios Askalidis & Randall Berry & Nicole Immorlica & Ken Moon & Amandeep Singh, 2022. "When to Be Agile: Ratings and Version Updates in Mobile Apps," Management Science, INFORMS, vol. 68(6), pages 4261-4278, June.
    6. Swanand J. Deodhar & Samrat Gupta, 2023. "The Impact of Social Reputation Features in Innovation Tournaments: Evidence from a Natural Experiment," Information Systems Research, INFORMS, vol. 34(1), pages 178-193, March.
    7. Jesse Bockstedt & Cheryl Druehl & Anant Mishra, 2022. "Incentives and Stars: Competition in Innovation Contests with Participant and Submission Visibility," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1372-1393, March.
    8. Livio Cricelli & Michele Grimaldi & Silvia Vermicelli, 2022. "Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda," Review of Managerial Science, Springer, vol. 16(5), pages 1269-1310, July.
    9. Salgado, Stéphane & Hemonnet-Goujot, Aurelie & Henard, David H. & de Barnier, Virginie, 2020. "The dynamics of innovation contest experience: An integrated framework from the customer’s perspective," Journal of Business Research, Elsevier, vol. 117(C), pages 29-43.
    10. Diwas Singh KC & Bradley R. Staats, 2012. "Accumulating a Portfolio of Experience: The Effect of Focal and Related Experience on Surgeon Performance," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 618-633, October.
    11. Llorente-Saguer, Aniol & Sheremeta, Roman M. & Szech, Nora, 2023. "Designing contests between heterogeneous contestants: An experimental study of tie-breaks and bid-caps in all-pay auctions," European Economic Review, Elsevier, vol. 154(C).
    12. Jonathan R. Clark & Robert S. Huckman, 2012. "Broadening Focus: Spillovers, Complementarities, and Specialization in the Hospital Industry," Management Science, INFORMS, vol. 58(4), pages 708-722, April.
    13. repec:eee:respol:v:48:y:2019:i:8:p:- is not listed on IDEAS
    14. Dan Li & Longying Hu, 2017. "Exploring the effects of reward and competition intensity on participation in crowdsourcing contests," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 199-210, August.
    15. Lettl, Christopher & Rost, Katja & von Wartburg, Iwan, 2009. "Why are some independent inventors 'heroes' and others 'hobbyists'? The moderating role of technological diversity and specialization," Research Policy, Elsevier, vol. 38(2), pages 243-254, March.
    16. Jonathan R. Clark & Robert S. Huckman & Bradley R. Staats, 2013. "Learning from Customers: Individual and Organizational Effects in Outsourced Radiological Services," Organization Science, INFORMS, vol. 24(5), pages 1539-1557, October.
    17. Christoph Riedl & Victor P. Seidel, 2018. "Learning from Mixed Signals in Online Innovation Communities," Organization Science, INFORMS, vol. 29(6), pages 1010-1032, December.
    18. Viktoria Boss & Robin Kleer & Alexander Vossen, 2017. "Walking Parallel Paths Or Taking The Same Road? The Effect Of Collaborative Incentives In Innovation Contests," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 1-34, April.
    19. Jasmijn Bol & Lisa Laviers & Jason Sandvik, 2023. "Creativity Contests: An Experimental Investigation of Eliciting Employee Creativity," Journal of Accounting Research, Wiley Blackwell, vol. 61(1), pages 47-94, March.
    20. 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.
    21. Daniel P. Gross, 2020. "Creativity Under Fire: The Effects of Competition on Creative Production," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 583-599, July.

    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:eee:teinso:v:65:y:2021:i:c:s0160791x21000142. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.