IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v16y1997i1p1-23.html
   My bibliography  Save this article

A Model of Retail Formats Based on Consumers' Economizing on Shopping Time

Author

Listed:
  • Paul R. Messinger

    (University of Alberta)

  • Chakravarthi Narasimhan

    (Washington University)

Abstract

Retailers in developed countries increasingly provide one-stop shopping. Why? Are they responding to growing demand for time-saving convenience? Or are they responding to economies of scale made possible by new retail technology? And what role, if any, is played by improvements in automotive, refrigeration, and other consumer technology? To examine these questions, we develop a model that can help explain the growth of one-stop shopping, estimate the model with aggregate grocery retail data, and compare the implications of our model with competing explanations. Our model includes several desirable features: (1) The extent of one-shop shopping is endogenously determined. (2) Consumer store choice is determined in an explicit household-production, utility-maximizing context. This choice is based on a tradeoff between time-saving shopping convenience and price. (3) The model is readily amenable to empirical testing. The key endogenous parameter of our model describes the number of categories carried by a store. In the context of grocery retailing, this parameter can distinguish between a single-category specialty store, a simple grocer, a supermarket, and a large superstore. This parameter is determined by the interplay of consumers economizing on shopping time and retail competition in the presence of technological constraints which relate operating cost with assortment size. Our approach may also be viewed as an example of how the boundary between retail service production and household service production can be modeled as a market outcome (in the spirit of Betancourt and Gautchi [Betancourt, Roger, David Gautschi. 1990. Demand complementarities, household production, and retail assortments. (2, Spring) 146–161.] and Wernerfelt [Wernerfelt, Birger. 1994. An efficiency criterion for marketing design. (November) 462–470.]). The nature of extant retail formats and other channel-related institutions circumscribes the boundary between retailers and households. With the notable early exception of Baumol and Ide (Baumol, William J., Edward A. Ide. 1956. Variety in retailing. (1, October) 93–101.), few explicit models describe retail format determination as an equilibrating market mechanism. Our model describes the determination of one aspect of retail formats (namely, the extent of one-stop shopping). Our hope is that similar approaches can be used to describe other aspects and types of emergent retail formats. We estimate our model using U.S. aggregate annual data for a 26-year period, and later corroborate parts of the analysis using cross-sectional data for the 48 contiguous states of the U.S. The equilibrium conditions of our model translate into a system of two equations with two endogenous variables. Estimates of the reduced form parameters provide our central empirical finding—that per capita disposable income has had a significant positive effect on both supermarket assortment (as expected from our model) and store operating costs (perhaps somewhat less expected). This suggests that greater prevalence of one-stop shopping has been a response to growing demand for time-saving convenience. The estimates of the underlying structural parameters also provide a measure of the imputed net savings to consumers from supermarket shopping, taking into account reductions in shopping time made possible by supermarkets (savings equivalent to approximately 2.2% of expenditures on grocery products over the 1961–1986 period). We lastly consider competing hypotheses. While a number of explanations can account for increased store assortment, these explanations have divergent implications for retail margins, operating costs, and profits. These implications suggest that retail scale economies were not the drivers of one-stop shopping in the years of our data. Nor was the impetus to increase store size primarily a desire to bring in new higher-margin items. However, we acknowledge that transportation and inventory-holding technologies are prerequisites to one-stop shopping and that improvements in these technologies were particularly important in the early growth period of supermarkets.

Suggested Citation

  • Paul R. Messinger & Chakravarthi Narasimhan, 1997. "A Model of Retail Formats Based on Consumers' Economizing on Shopping Time," Marketing Science, INFORMS, vol. 16(1), pages 1-23.
  • Handle: RePEc:inm:ormksc:v:16:y:1997:i:1:p:1-23
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.16.1.1
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Griffin, Abbie. & Hauser, John R., 1991. "The marketing and R & D interface," Working papers #48-91. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Green, Paul E & Srinivasan, V, 1978. " Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Oxford University Press, pages 103-123.
    4. George P. Huber, 1974. "Multi-Attribute Utility Models: A Review of Field and Field-Like Studies," Management Science, INFORMS, pages 1393-1402.
    5. Hauser, John R. & Urban, Glen L., 1976. "A normative methodology for modeling consumer response to innovation," Working papers 854-76., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    6. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    Full references (including those not matched with items on IDEAS)

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:16:y:1997:i:1:p:1-23. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc). General contact details of provider: http://edirc.repec.org/data/inforea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.