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The shipping strategies of internet retailers: Evidence from internet book retailing

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Author Info

  • Emin Dinlersoz

    ()

  • Han Li

    ()

Abstract

Managing the shipment of goods to consumers is one of the central aspects of retail competition on the internet. In this article, we analyze internet retailers’ shipping strategies using data from the internet book retailing industry. We find that, controlling for a variety of observable firm characteristics, firms with lower product prices offer lower shipping fees and higher quality shipping in terms of average delivery time, compared to firms with higher product prices. These patterns cannot be readily reconciled with a large class of models of competition under perfect consumer information. Theories based on imperfect consumer information can explain the findings better. Copyright Springer Science + Business Media, LLC 2006

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File URL: http://hdl.handle.net/10.1007/s11129-006-9010-4
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Bibliographic Info

Article provided by Springer in its journal Quantitative Marketing and Economics.

Volume (Year): 4 (2006)
Issue (Month): 4 (December)
Pages: 407-438

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Handle: RePEc:kap:qmktec:v:4:y:2006:i:4:p:407-438

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Web page: http://www.springerlink.com/link.asp?id=111240

Related research

Keywords: E-commerce; Shipping and delivery; Price dispersion; Imperfect information; Retail competition;

References

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  1. Reinganum, Jennifer F, 1979. "A Simple Model of Equilibrium Price Dispersion," Journal of Political Economy, University of Chicago Press, vol. 87(4), pages 851-58, August.
  2. Shaked, Avner & Sutton, John, 1982. "Relaxing Price Competition through Product Differentiation," Review of Economic Studies, Wiley Blackwell, vol. 49(1), pages 3-13, January.
  3. Karen Clay & Ramayya Krishnan & Eric Wolff, 2001. "Prices and Price Dispersion on the Web: Evidence from the Online Book Industry," NBER Chapters, in: E-commerce, pages 521-539 National Bureau of Economic Research, Inc.
  4. Dellaert, B.G.C. & Kahn, B., 1998. "How Tolerable is Delay? Consumers' Evaluations of Internet Web Sites After Waiting," Discussion Paper 1998-64, Tilburg University, Center for Economic Research.
  5. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
  6. Choi, Chong Ju & Shin, Hyun Song, 1992. "A Comment on a Model of Vertical Product Differentiation," Journal of Industrial Economics, Wiley Blackwell, vol. 40(2), pages 229-31, June.
  7. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558 National Bureau of Economic Research, Inc.
  8. Kathy Baylis & Jeffrey Perloff, 2002. "Price Dispersion on the Internet: Good Firms and Bad Firms," Review of Industrial Organization, Springer, vol. 21(3), pages 305-324, November.
  9. Michael R. Baye & John Morgan & Patrick Scholten, 2004. "Price Dispersion in the Small and in the Large: Evidence from an Internet Price Comparison Site," Working Papers 2004-03, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
  10. Motta, Massimo, 1993. "Endogenous Quality Choice: Price vs. Quantity Competition," Journal of Industrial Economics, Wiley Blackwell, vol. 41(2), pages 113-31, June.
  11. Burdett, Kenneth & Judd, Kenneth L, 1983. "Equilibrium Price Dispersion," Econometrica, Econometric Society, vol. 51(4), pages 955-69, July.
  12. Michael R. Baye & John Morgan, 2001. "Information Gatekeepers on the Internet and the Competitiveness of Homogeneous Product Markets," American Economic Review, American Economic Association, vol. 91(3), pages 454-474, June.
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Cited by:
  1. Phillip Lederer, 2011. "Competitive Delivered Pricing by Mail-Order and Internet Retailers," Networks and Spatial Economics, Springer, vol. 11(2), pages 315-342, June.
  2. Becerril-Arreola, Rafael & Leng, Mingming & Parlar, Mahmut, 2013. "Online retailers’ promotional pricing, free-shipping threshold, and inventory decisions: A simulation-based analysis," European Journal of Operational Research, Elsevier, vol. 230(2), pages 272-283.

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