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Intra-transactional Interaction in Internet Auctions: The Impact on Outcomes

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Knowledge and Technologies in Innovative Information Systems (MCIS 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 129))

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Abstract

We report results from empirically examining the effect of intra-transactional interaction in internet auctions on auction outcomes. A widely reported problem with internet auctions is the issue of information asymmetry between sellers and buyers resulting in adverse selection. We argue that rich information exchange among buyers and sellers while an auction is in progress (“live interaction”) can address this problem. Live interaction can have significant benefits toward achieving successful outcomes such as meeting the auction reservation price and obtaining price premiums. This is particularly true in the case of products that have relatively high value and possess a complex set of product attributes. Using data from a popular internet auction site, we test this proposition with a data set of 990 used car auctions. A particular feature of this site is that the interactions are publicly viewable, thereby enhancing the likelihood of increased participation in the auction. The proposition is tested using logistic regression models. The results show that the ability of participants to engage in intra-transactional conversations with sellers is significantly related to achieving positive outcomes such as meeting the auction reservation price and obtaining price premiums.

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References

  1. Alexa Internet Inc. Alexa The Web Information Company (2011), http://www.alexa.com/ (retrieved March 24, 2011)

  2. Anderson, E.W.: Customer Satisfaction and Word of Mouth. Journal of Service Research 1(1), 5–17 (1998)

    Article  Google Scholar 

  3. Andrews, T., Benzing, C.: The Determinants of Price in Internet Auctions of Used Cars. Atlantic Economic Journal, International Atlantic Economic Society 35(1), 43–57 (2007)

    Google Scholar 

  4. Ba, S., Pavlou, P.A.: Evidence of the Effect of Trust Building Technology in Electronic Markets: Price Premiums and Buyer Behavior. MIS Quarterly 26(3), 243–268 (2002)

    Article  Google Scholar 

  5. Bajari, P., Ali, H.S.: Winner’s Curse, Reserve Prices and Endogenous Entry: Empirical Insights from eBay. Rand Journal of Economics 34, 329–356 (2003)

    Article  Google Scholar 

  6. Bickart, B., Shindler, R.M.: Internet forums as influential sources of consumer information. Journal of Interactive Marketing 15(3), 31–40 (2001)

    Article  Google Scholar 

  7. Bowman, D., Farley, J.U., Narayandas, D.: Managing Customer-Initiated Contacts with Manufacturers: The Impact on Share of Category Requirements and Word-of-Mouth Behavior. Journal of Marketing Research 38, 281–297 (2001)

    Article  Google Scholar 

  8. Chevalier, J., Mayzlin, D.: The Effect of Word of Mouth on Sales: Online Book Reviews. Journal of Marketing Research 43(3), 9 (2006)

    Article  Google Scholar 

  9. Dellarocas, C.: The digitization of word of mouth: promise and challenges of online feedback mechanisms. Management Science 49(10), 1407–1424 (2003)

    Article  Google Scholar 

  10. Dellarocas, C.N., Awad, N.F., Zhang, X.: Exploring the Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures. Journal of Interactive Marketing 21(4), 23–45 (2007)

    Article  Google Scholar 

  11. Dimoka, A., Pavlou, P.: Understanding and Mitigating Product Uncertainty in Online Auction Marketplaces. 2008 Industry Studies Conference Paper (2008), http://ssrn.com/abstract=1135006 (retrieved April 05, 2011)

  12. Friedkin, N.E.: A Structual Theory of Social Influence. Cambridge University Press, Cambridge (1998)

    Book  Google Scholar 

  13. Gefen, D., Karahanna, E., Straub, D.W.: Trust and TAM in online shopping: An integrated model. MIS Quarterly 27(1), 51–90 (2003)

    Google Scholar 

  14. Gelb, B.D., Sundaram, S.: Adapting to word of mouth. Business Horizons 45(4), 21–25 (2002)

    Article  Google Scholar 

  15. Ghose, A., Ipeirotis, P.G.: Designing Novel Review Ranking Systems: Predicting the Usefulness and Impact of Reviews. In: International Conference on Electronic Commerce 2007, pp. 19–22 (2007)

    Google Scholar 

  16. Godes, D., Mayzlin, D.: Using Online Conversations to Measure Word of Mouth Communication. Marketing Science 23(4), 545–560 (2004)

    Article  Google Scholar 

  17. Hof, R.D.: The people’s company. Business Week, pp. EB10-11, EB14-17 December 3 (2001)

    Google Scholar 

  18. Houser, D., Wooders, J.: Reputation in auctions: Theory, and evidence from eBay. Journal of Economics & Management Strategy 15, 353–369 (2006)

    Article  Google Scholar 

  19. Hu, N., Pavlou, P.A., Zhang, J.: Can online reviews reveal a product’s true quality? Empirical findings and analytical modeling of online word-of-mouth communication. In: Proceedings of the 7th ACM Conference on Electronic Commerce (EC 2006), pp. 324–330 (2006)

    Google Scholar 

  20. Jin, G.: Competition and disclosure incentive: an empirical study of HMOs. RAND Journal of Eonomics 26, 93–113 (2005)

    Google Scholar 

  21. Kozinets, R.V.: The Field Behind the Screen: Using Netnography for Marketing Research in Online Communities. Journal of Marketing Research 39(2), 61–72 (2002)

    Article  Google Scholar 

  22. Lewis, G.: Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors (2010), http://ssrn.com/abstract=1358341 (retrieved May 07, 2011)

  23. Lucking-Reiley, D., Bryan, D., Prasad, N., Reeves, D.: Pennies from eBay: The Determinants of Price in Online Auction. Journal of Industrial Economics 55(2), 223–233 (2007)

    Article  Google Scholar 

  24. Pavlou, P.A., Dimoka, A.: The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation. Information Systems Research 17(4), 392–414 (2006)

    Article  Google Scholar 

  25. Pavlou, P.A., Gefen, D.: Psychological Contract Violation in Online Marketplaces: Antecedents, Consequences, and Moderating Role. Information Systems Research 16(4), 372–399 (2005)

    Article  Google Scholar 

  26. Pavlou, P.A., Liang, H., Xue, Y.: Understanding and Mitigating Uncertainty in Online Environments: An Agency Theory Perspective. MIS Quarterly 31(1), 105–136 (2007)

    Google Scholar 

  27. Resnick, P., Zeckhauser, R.: Trust among Strangers in Internet Transactions: Empirical Analysis of eBay’s Reputation System. In: The Economics of the Internet and E-commerce. Advances in Applied Microeconomics, vol. 11. JAI Press (2002)

    Google Scholar 

  28. Richins, M.L.: Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study. Journal of Marketing 47, 68–78 (1983)

    Article  Google Scholar 

  29. Senecal, S., Nantel, J.: The influence of online product recommendations on consumers’ online choices. Journal of Retailing 80, 159–169 (2004)

    Article  Google Scholar 

  30. Straub, D., Gefen, D., Boudreau, M.C.: The ISWorld Quantitative, Positivist Research Methods Website (2004), http://dstraub.cis.gsu.edu:88/quant/ (retrieved April 07, 2011)

  31. Weinberg, B.D., Davis, L.: Exploring the WOW in online-auction feedback. Journal of Business Research 58, 1609–1621 (2005)

    Article  Google Scholar 

  32. Wolf, J.R., Muhanna, W.A.: Adverse Selection and Reputation Systems in Online Auctions: Evidence From Ebay Motors. In: Twenty-Sixth International Conference on Information Systems (2005)

    Google Scholar 

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Srinivasan, A., Fangxing, L. (2012). Intra-transactional Interaction in Internet Auctions: The Impact on Outcomes. In: Rahman, H., Mesquita, A., Ramos, I., Pernici, B. (eds) Knowledge and Technologies in Innovative Information Systems. MCIS 2012. Lecture Notes in Business Information Processing, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33244-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-33244-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33243-2

  • Online ISBN: 978-3-642-33244-9

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