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Losing to Win: Reputation Management of Online Sellers

Author

Listed:
  • Mo Xiao

    (University of Arizona)

  • Jiandong Ju

    (Tsinghua University)

  • Ying Fan

    (University of Michigan)

Abstract

Reputation is generally considered an asset, especially in e-commerce markets. Any reputation system, however, elicits strategic responses from the sellers. Using panel data on a large random sample of online sellers from China’s largest e-commerce platform, Taobao.com, we study how reputation affects revenue, prices, transaction volume, and survival likelihood as well as how sellers manage their reputation. We find that seller reputation has a substantial positive impact on established sellers, but new sellers fail to reap such benefits. Pursuing the long-run returns to reputation, new sellers actively manage their reputation by engaging in costly activities such as sales and switching product categories. In this "losing to win" process, new sellers may have spent too much resource to survive to next stage. Our results provide empirical support for the theory of career concern and reputation dynamics.

Suggested Citation

  • Mo Xiao & Jiandong Ju & Ying Fan, 2013. "Losing to Win: Reputation Management of Online Sellers," 2013 Meeting Papers 192, Society for Economic Dynamics.
  • Handle: RePEc:red:sed013:192
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    References listed on IDEAS

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    1. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    2. Lucia Foster & John Haltiwanger & Chad Syverson, 2016. "The Slow Growth of New Plants: Learning about Demand?," Economica, London School of Economics and Political Science, vol. 83(329), pages 91-129, January.
    3. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    4. Viard, V. Brian & Fu, Shihe, 2015. "The effect of Beijing's driving restrictions on pollution and economic activity," Journal of Public Economics, Elsevier, vol. 125(C), pages 98-115.
    5. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    6. Carl Shapiro, 1983. "Premiums for High Quality Products as Returns to Reputations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(4), pages 659-679.
    7. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
    8. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    9. Bengt Holmström, 1999. "Managerial Incentive Problems: A Dynamic Perspective," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(1), pages 169-182.
    10. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    11. Daniel Houser & John Wooders, 2006. "Reputation in Auctions: Theory, and Evidence from eBay," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 353-369, June.
    12. Bar-Isaac, Heski & Tadelis, Steven, 2008. "Seller Reputation," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(4), pages 273-351, August.
    13. Steven Tadelis, 2002. "The Market for Reputations as an Incentive Mechanism," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 854-882, August.
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Building a reputation as online seller
      by Economic Logician in Economic Logic on 2013-10-14 19:10:00

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    Cited by:

    1. Grégory Jolivet & Bruno Jullien & Fabien Postel-Vinay, 2014. "Reputation and Pricing on the e-Market: Evidence from a Major French Platform," PSE Working Papers hal-03460312, HAL.
    2. Jolivet, Grégory & Jullien, Bruno & Postel-Vinay, Fabien, 2016. "Reputation and prices on the e-market: Evidence from a major French platform," International Journal of Industrial Organization, Elsevier, vol. 45(C), pages 59-75.
    3. Susan Lu & Huaxia Rui, 2014. "Can We Trust Online Physician Ratings? Evidence from Cardiac Surgeons in Florida," Working Papers 14-01, NET Institute.
    4. Grégory Jolivet & Bruno Jullien & Fabien Postel-Vinay, 2014. "Reputation and Pricing on the e-Market: Evidence from a Major French Platform," PSE Working Papers hal-03460312, HAL.
    5. Xiang Hui & Maryam Saeedi & Zeqian Shen & Neel Sundaresan, 2016. "Reputation and Regulations: Evidence from eBay," Management Science, INFORMS, vol. 62(12), pages 3604-3616, December.
    6. Cai, Hongbin & Jin, Ginger Zhe & Liu, Chong & Zhou, Li-an, 2014. "Seller reputation: From word-of-mouth to centralized feedback," International Journal of Industrial Organization, Elsevier, vol. 34(C), pages 51-65.
    7. repec:hal:spmain:info:hdl:2441/4firg7dmo68rdasf15hi85vn53 is not listed on IDEAS

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