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Shelf Sequence and Proximity Effects on Online Grocery Choices

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Author Info
Breugelmans Els
Campo Katia
Gijsbrechts Els (METEOR)

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Abstract

Research on traditional store shelf effects has shown that a product’s absolute and relative shelf position may strongly affect consumer choices. In this paper, we examine whether such shelf effects are still at play in an online grocery store. While traditional ‘eye-level’ placement is no longer predominant, we find that a product’s choice probability increases when presented on the first screen or located near focal (highly-preferred) items. Our results further demonstrate that these primacy and proximity effects depend on assortment size and composition. Larger and more difficult to process assortments complicate the choice process, thereby stimulating the use of shelf-based simplifying choice heuristics.

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Paper provided by Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization in its series Research Memoranda with number 052.

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Date of creation: 2005
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Handle: RePEc:dgr:umamet:2005052

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Keywords: marketing ;

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This paper has been announced in the following NEP Reports: References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Simonson, Itamar & Winer, Russell S, 1992. " The Influence of Purchase Quantity and Display Format on Consumer Preference for Variety," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 19(1), pages 133-38, June.
  2. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August. [Downloadable!] (restricted)
  3. Burke, Raymond R, et al, 1992. " Comparing Dynamic Consumer Choice in Real and Computer-Simulated Environments," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 19(1), pages 71-82, June.
  4. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470. [Downloadable!]
  5. Rohm, Andrew J. & Swaminathan, Vanitha, 2004. "A typology of online shoppers based on shopping motivations," Journal of Business Research, Elsevier, vol. 57(7), pages 748-757, July. [Downloadable!] (restricted)
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  1. Breugelmans, Els & Campo, Katia, 2008. "Can in-store displays improve category sales and brand market share in online stores? A study on the overall effectiveness and differences between display types in an online FMCG context," Research Memoranda 035, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization. [Downloadable!]
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