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Effectiveness of Reputation in Contracting for Customized Production: Evidence from Online Labor Markets

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  • Mingfeng Lin

    (Department of Management Information Systems, Eller College of Management, University of Arizona, Tucson, Arizona 85721)

  • Yong Liu

    (Department of Marketing, Eller College of Management, University of Arizona, Tucson, Arizona 85721)

  • Siva Viswanathan

    (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

Abstract

This study examines the effects of reputation in the nascent but rapidly growing online labor markets. In these markets, contract winners (vendors) provide clients with customized products such as computer software, business plans, and artistic designs. The products are used primarily for business purposes and require time for production after project-specific contracts are awarded. These characteristics render it unclear whether online reputation will have similar effects as in online retailing, where finished and standardized products are sold for consumption. We analyze field transaction data from a major online labor market. The analyses using matched contract samples and vendor panels consistently show that despite the governing power provided by contracts as well as the litigation and arbitration options, vendors’ online reputation can still be influential on clients. Vendors who have no reputation ratings are less likely to be chosen, and those with higher ratings are more likely to win subsequent bids. Importantly, however, such influences depend on the contract form that is used for a particular transaction—they are significant in output-based contracts but nonsignificant in input-based contracts. Besides extending the research on online reputation to the markets of customized production, this study shows contract form as an important boundary condition for the effectiveness of reputational information. It also provides direct managerial implications for electronic commerce in general and online labor markets in particular.

Suggested Citation

  • Mingfeng Lin & Yong Liu & Siva Viswanathan, 2018. "Effectiveness of Reputation in Contracting for Customized Production: Evidence from Online Labor Markets," Management Science, INFORMS, vol. 64(1), pages 345-359, January.
  • Handle: RePEc:inm:ormnsc:v:64:y:2018:i:1:p:345-359
    DOI: 10.1287/mnsc.2016.2594
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    3. Brosig-Koch, Jeannette & Heinrich, Timo & Sterner, Martin, 2023. "Bilateral communication in procurement auctions," MPRA Paper 117612, University Library of Munich, Germany.
    4. Kazakova, E. & Sandomirskaia, M. & Suvorov, A. & Khazhgerieva, A. & Shavshin, R., 2023. "Platforms, online labor markets, and crowdsourcing. Part 1. Traditional online labor market," Journal of the New Economic Association, New Economic Association, vol. 60(3), pages 120-148.
    5. Panos Constantinides & Ola Henfridsson & Geoffrey G. Parker, 2018. "Introduction—Platforms and Infrastructures in the Digital Age," Information Systems Research, INFORMS, vol. 29(2), pages 381-400, June.
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    9. Gordon Burtch & Yili Hong & Senthil Kumar, 2021. "When Does Dispute Resolution Substitute for a Reputation System? Empirical Evidence from a Service Procurement Platform," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1565-1582, June.
    10. Francesca Bellesia & Elisa Mattarelli & Fabiola Bertolotti, 2023. "Algorithms and their Affordances: How Crowdworkers Manage Algorithmic Scores in Online Labour Markets," Journal of Management Studies, Wiley Blackwell, vol. 60(1), pages 1-37, January.
    11. Jin Liu & Xingchen Xu & Xi Nan & Yongjun Li & Yong Tan, 2023. ""Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets," Papers 2308.05201, arXiv.org, revised Jun 2024.
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