The Journal of Economics, Marketing and Management (융합경영연구)

International Convergence Management Association (국제융합경영학회)
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Sellers' Economic Incentives to Disclose Negative Information in Online Markets

  • HUH, Seung (College of Business Administration, Incheon National University)
  • Received : 2021.02.15
  • Accepted : 2021.04.29
  • Published : 2021.04.30
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Abstract

Purpose: This study aims to verify sellers' economic incentives for voluntarily disclosing negative information in online markets and provide practical guidelines to online sellers in terms of whether, when, and how sharing low quality to buyers increase sales. Research design, data and methodology: Our model examines the number of bidders in Internet auctions to measure potential demand and uses count data analysis following previous studies that have also analyzed the number of bidders in auctions. After checking over-dispersion and zero-inflation in our data, we have run a Poisson regression to analyze the effect of sharing negative information on sales. Results: This study presents a counterintuitive result that low-quality sellers can increase their demand by fully disclosing negative information in an online market, if appropriate risk-reducing methods are employed. Our finding thus shows that there exists economic incentive for online sellers to voluntarily disclose negative information about their products, and that the context of transactions may affect this incentive structure as the incentive varies across product categories. Conclusions: As the positive impact of disclosing negative information has rarely been studied so far, this paper contributes to the literature by providing a unique empirical analysis on the impact of sellers' honesty on sales. By verifying economic incentives of disclosing low quality with actual online sales data, this study suggests practical implications on information disclosure strategy to many online sellers dealing with negative information.

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Acknowledgement

This work was supported by Incheon National University Research Grant in 2017.

References

  1. Ackerberg, D., Hirano, K., & Shahriar, Q. (2006). The buy-it-now option, risk aversion, and impatience in an empirical model of eBay bidding. University of Arizona.
  2. Athey, S., & Haile, P. (2002). Identification of standard auction models. Econometrica, 70(6), 2107-2140. https://doi.org/10.1111/j.1468-0262.2002.00435.x
  3. Bajari, P., & Hortacsu, A. (2003). The winner's curse, reserve prices, and endogenous entry: empirical insights from eBay auctions. RAND Journal of Economics, 34(2), 329-355. https://doi.org/10.2307/1593721
  4. Bapna, R., Goes, P., Gupta, A., & Jin, Y. (2004). User heterogeneity and its impact on electronic auction market design: An empirical exploration. Mis Quarterly, 28(1), 21-43. https://doi.org/10.2307/25148623
  5. Bapna, R., Jank, W., & Shmueli, G. (2008). Price formation and its dynamics in online auctions. Decision Support Systems, 44(3), 641-656. https://doi.org/10.1016/j.dss.2007.09.004
  6. Bauer, R. A. (1960). Consumer behavior as risk taking. Dynamic Marketing for a Changing World, 398.
  7. Berger, J., Sorensen, A. T., & Rasmussen, S. J. (2010). Positive effects of negative publicity: When negative reviews increase sales. Marketing Science, 29(5), 815-827. https://doi.org/10.1287/mksc.1090.0557
  8. Chaudhuri, A., & Holbrook, M. B. (2001). The Chain of Effects from Brand Trust and Brand Affect to Brand Performance: The Role of Brand Loyalty. Journal of Marketing, 65(2), 81-93. https://doi.org/10.1509/jmkg.65.2.81.18255
  9. Coulter, K. S., & Coulter, R. A. (2002). Determinants of trust in a service provider: the moderating role of length of relationship. Journal of Services Marketing, 16(1), 35-50. https://doi.org/10.1108/08876040210419406
  10. Crespo, A . H., del Bosque, I. R., & de los Salmones Sanchez, M. M. G. (2009). The influence of perceived risk on Internet shopping behavior: a multidimensional perspective. Journal of Risk Research, 12(2), 259-277. https://doi.org/10.1080/13669870802497744
  11. Crosby, L. A., Evans, K. A., & Cowles, D. (1990). Relationship quality in services selling: An interpersonal influence perspective. Journal of Marketing, 54, 68. https://doi.org/http://dx.doi.org.ezproxy.cityu.edu.hk/10.2307/1251817
  12. Crowley, A., & Hoyer, W. (1994). An integrative framework for understanding two-sided persuasion. Journal of Consumer Research, 20(4), 561-574. https://doi.org/10.1086/209370
  13. Dowling, G. (1986). Perceived risk: The concept and its measurement. Psychology and Marketing, 3(3), 193-210. https://doi.org/10.1002/mar.4220030307
  14. Dranove, D., & Jin, G. Z. (2010). Quality Disclosure and Certification: Theory and Practice. Journal of Economic Literature, 48(4), 935-963. https://doi.org/10.1257/jel.48.4.935
  15. Eisend, M. (2006). Two-sided advertising: A meta-analysis. International Journal of Research in Marketing, 23(2), 187-198. https://doi.org/10.1016/j.ijresmar.2005.11.001
  16. Eisend, M. (2007). Understanding two-• sided persuasion: An empirical assessment of theoretical approaches. Psychology and Marketing, 24(7), 615-640. https://doi.org/10.1002/mar
  17. Etzion, H., Pinker, E., & Seidmann, A. (2006). Analyzing the Simultaneous Use of Auctions and Posted Prices for Online Selling. Manufacturing & Service Operations Management, 8(1), 68-91. https://doi.org/10.1287/msom.1060.0101
  18. Farrell, J. (1980). Prices as Signals of Quality. Brasenose College, Oxford.
  19. Hong, H., & Nekipelov, D. (2012). Efficient local IV estimation of an empirical auction model. Journal of Econometrics, 1(2004), 1-23.
  20. Jin, G. Z., & Kato, A. (2006). Price, quality, and reputation: evidence from an online field experiment. The RAND Journal of Economics, 37(4), 983-1005. https://doi.org/10.1111/j.1756-2171.2006.tb00067.x
  21. Lewis, G. (2011). Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors. American Economic Review. https://doi.org/10.1257/aer.101.4.1535
  22. Li, S., Srinivasan, K., & Sun, B. (2009). Internet auction features as quality signals. Journal of Marketing, 73(January), 75-92. https://doi.org/10.1509/jmkg.73.1.075
  23. Li, Z., Sha, Y., Song, X., Yang, K., ZHao, K., Jiang, Z., & Zhang, Q. (2020). Impact of risk perception on customer purchase behavior: a meta-analysis. Journal of Business & Industrial Marketing, 35(1), 76-96. https://doi.org/10.1108/JBIM-12-2018-0381
  24. Markin, Jr., R. J. (1974). Consumer behavior: A cognitive orientation. New York: Macmillan.
  25. Peter, J. P., & Ryan, M. J. (1976). An investigation of perceived risk at the brand level. Journal of Marketing Research, 13(2), 184-188. https://doi.org/10.2307/3150856
  26. Peter, J. P., & Tarpey, Sr., L. X. (1975). A comparative analysis of three consumer decision strategies. Journal of Consumer Research, 2(1), 29-37. https://doi.org/10.1086/208613
  27. Pinker, E. J., Seidmann, A., & Vakrat, Y. (2003). Managing online auctions: Current business and research issues. Management Science, 49(11), 1457-1484. https://doi.org/10.1287/mnsc.49.11.1457.20584
  28. Reddy, S. K., & Dass, M. (2006). Modeling On-Line Art Auction Dynamics Using Functional Data Analysis. Statistical Science, 21(2), 179-193. https://doi.org/10.1214/088342306000000196
  29. Riordan, M. H. (1986). Monopolistic Competition with Experience Goods. The Quarterly Journal of Economics, 101, 265-280. https://doi.org/10.2307/1891115
  30. Ross, I. (1975). Perceived risk and consumer behavior: a critical review. Advances in Consumer Research, 2(1).
  31. Settle, R., & Golden, L. (1974). Attribution theory and advertiser credibility. Journal of Marketing Research, 11(2), 181-185. https://doi.org/10.2307/3150556
  32. Srinivasan, N., & Ratchford, B. T. (1991). An empirical test of a model of external search for automobiles. Journal of Consumer Research, 18(2), 233-242. https://doi.org/10.1086/209255
  33. Stone, R. N., & Winter, F. (1985). Risk in buyer behavior contexts: A clarification. College of Commerce and Business Administration, University of Illinois at Urbana-Champaign.
  34. Sung, Y., & Kim, J. (2010). Effects of brand personality on brand trust and brand affect. Psychology and Marketing, 27(7), 639-661. https://doi.org/10.1002/mar.20349
  35. Tadelis, S., & Zettelmeyer, F. (2011). Information disclosure as a matching mechanism: Theory and evidence from a field experiment. University of California, Berkeley.
  36. Taylor, J. W. (1974). The role of risk in consumer behavior. The Journal of Marketing, 38(2), 54-60. https://doi.org/10.2307/1250198
  37. Wang, Y., & Hazen, B. T. (2016). Consumer product knowledge and intention to purchase remanufactured products. International Journal of Production Economics, 181, 460-469. https://doi.org/10.1016/j.ijpe.2015.08.031
  38. Wilson, R. (1985). Reputations in games and markets. Gametheoretic Models of Bargaining, 96, 27-62. https://doi.org/10.1017/CBO9780511528309.004