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An Empirical Analysis of Shopping Behavior Across Online and Offline Channels for Grocery Products: The Moderating Effects of Household and Product Characteristics

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  • Chu, Junhong
  • Arce-Urriza, Marta
  • Cebollada-Calvo, José-Javier
  • Chintagunta, Pradeep K.

Abstract

We study the moderating effects of household (e.g., shopping frequency) and product (e.g., sensory nature) characteristics on household brand loyalty, size loyalty and price sensitivity across online and offline channels for grocery products. We analyze the shopping behavior of the same households that shop interchangeably in the online and offline stores of the same grocery chain in 93 categories of food, non-food, sensory and non-sensory products. We find that households are more brand loyal, more size loyal but less price sensitive in the online channel than in the offline channel. Brand loyalty, size loyalty and price sensitivity are closely related to household and product characteristics. Light online shoppers exhibit the highest brand and size loyalties, but the lowest price sensitivity in the online channel. Heavy online shoppers display the lowest brand and size loyalties, but the highest price sensitivity in the online channel. Moderate online shoppers exhibit the highest price sensitivity in the offline channel. The online–offline differences in brand loyalty and price sensitivity are largest for light online shoppers and smallest for heavy online shoppers. The online–offline differences in brand loyalty, size loyalty and price sensitivity are larger for food products and for sensory products.

Suggested Citation

  • Chu, Junhong & Arce-Urriza, Marta & Cebollada-Calvo, José-Javier & Chintagunta, Pradeep K., 2010. "An Empirical Analysis of Shopping Behavior Across Online and Offline Channels for Grocery Products: The Moderating Effects of Household and Product Characteristics," Journal of Interactive Marketing, Elsevier, vol. 24(4), pages 251-268.
  • Handle: RePEc:eee:joinma:v:24:y:2010:i:4:p:251-268
    DOI: 10.1016/j.intmar.2010.07.004
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    References listed on IDEAS

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    1. Peter J. Danaher & Isaac W. Wilson & Robert A. Davis, 2003. "A Comparison of Online and Offline Consumer Brand Loyalty," Marketing Science, INFORMS, vol. 22(4), pages 461-476, February.
    2. Beatty, Sharon E. & Homer, Pamela & Kahle, Lynn R., 1988. "The involvement--commitment model: Theory and implications," Journal of Business Research, Elsevier, vol. 16(2), pages 149-167, March.
    3. Junhong Chu & Pradeep Chintagunta & Javier Cebollada, 2008. "Research Note—A Comparison of Within-Household Price Sensitivity Across Online and Offline Channels," Marketing Science, INFORMS, vol. 27(2), pages 283-299, 03-04.
    4. John G. Lynch , Jr. & Dan Ariely, 2000. "Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution," Marketing Science, INFORMS, vol. 19(1), pages 83-103, April.
    5. Png, I P L & Reitman, David, 1995. "Why Are Some Products Branded and Others Not?," Journal of Law and Economics, University of Chicago Press, vol. 38(1), pages 207-224, April.
    6. 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.
    7. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    8. Andrea Pozzi, 2012. "Shopping Cost and Brand Exploration in Online Grocery," American Economic Journal: Microeconomics, American Economic Association, vol. 4(3), pages 96-120, August.
    9. Rajiv Lal & Miklos Sarvary, 1999. "When and How Is the Internet Likely to Decrease Price Competition?," Marketing Science, INFORMS, vol. 18(4), pages 485-503.
    10. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    11. Birger Wernerfelt, 1988. "Umbrella Branding as a Signal of New Product Quality: An Example of Signalling by Posting a Bond," RAND Journal of Economics, The RAND Corporation, vol. 19(3), pages 458-466, Autumn.
    12. Campbell, Margaret C & Goodstein, Ronald C, 2001. "The Moderating Effect of Perceived Risk on Consumers' Evaluations of Product Incongruity: Preference for the Norm," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 439-449, December.
    13. Park, C Whan & Iyer, Easwar S & Smith, Daniel C, 1989. "The Effects of Situational Factors on In-Store Grocery Shopping Behavior: The Role of Store Environment and Time Available for Shopping," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(4), pages 422-433, March.
    14. Grewal, Dhruv & Iyer, Gopalkrishnan R. & Levy, Michael, 2004. "Internet retailing: enablers, limiters and market consequences," Journal of Business Research, Elsevier, vol. 57(7), pages 703-713, July.
    15. Cheema, Amar & Papatla, Purushottam, 2010. "Relative importance of online versus offline information for Internet purchases: Product category and Internet experience effects," Journal of Business Research, Elsevier, vol. 63(9-10), pages 979-985, September.
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