IDEAS home Printed from
   My bibliography  Save this article

Multichannel Shopper Segments and Their Covariates


  • Konuş, Umut
  • Verhoef, Peter C.
  • Neslin, Scott A.


The proliferation of channels has created new challenges for research, including understanding how consumers may be segmented with respect to their information search and purchase behavior in multichannel environment. This research considers shopping a dynamic process that consists of search and purchase phases, in which the total utility of shopping process is determined by the perceived consumer utility toward channel use, which is mainly driven by consumer characteristics. The authors (1) segment consumers on the basis of their attitudes toward multiple channels as search and purchase alternatives; (2) investigate the association among psychological, economic, and sociodemographic covariates and segment membership; and (3) explore how multichannel behavior might differ across different product categories. Using survey data from 364 Dutch consumers and Latent-Class Analyse, they identify three segments – multichannel enthusiasts, uninvolved shoppers, and store-focused consumers – and covariates, such as shopping enjoyment, loyalty, and innovativeness that predict segment membership. The category-specific analysis suggests that overall segment descriptions apply generally to a variety of categories, though some differences exist, including the impact of covariates, across categories. The authors discuss implications for further research and practice.

Suggested Citation

  • Konuş, Umut & Verhoef, Peter C. & Neslin, Scott A., 2008. "Multichannel Shopper Segments and Their Covariates," Journal of Retailing, Elsevier, vol. 84(4), pages 398-413.
  • Handle: RePEc:eee:jouret:v:84:y:2008:i:4:p:398-413
    DOI: 10.1016/j.jretai.2008.09.002

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL:
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "A latent class segmentation analysis of e-shoppers," Journal of Business Research, Elsevier, vol. 57(7), pages 758-767, July.
    2. Paul Klemperer, 1995. "Competition when Consumers have Switching Costs: An Overview with Applications to Industrial Organization, Macroeconomics, and International Trade," Review of Economic Studies, Oxford University Press, vol. 62(4), pages 515-539.
    3. Babin, Barry J & Darden, William R & Griffin, Mitch, 1994. "Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value," Journal of Consumer Research, Oxford University Press, vol. 20(4), pages 644-656, March.
    4. Gilles Laurent & Pierre Chandon & Brian Wansink, 2000. "A Benefit Congruency Framework of Sales Promotion Effectiveness," Post-Print hal-00458440, HAL.
    5. Goldsmith, Ronald E. & Emmert, Janelle, 1991. "Measuring product category involvement: A multitrait-multimethod study," Journal of Business Research, Elsevier, vol. 23(4), pages 363-371, December.
    6. Eric K. Clemons & Il-Horn Hann & Lorin M. Hitt, 2002. "Price Dispersion and Differentiation in Online Travel: An Empirical Investigation," Management Science, INFORMS, vol. 48(4), pages 534-549, April.
    7. Midgley, David F & Dowling, Grahame R, 1978. "Innovativeness: The Concept and Its Measurement," Journal of Consumer Research, Oxford University Press, vol. 4(4), pages 229-242, March.
    8. 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.
    9. Jean-Noël Kapferer & Gilles Laurent, 1985. "Measuring consumer involvement profiles," Post-Print hal-00786781, HAL.
    10. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1992. "The Role of Optimum Stimulation Level in Exploratory Consumer Behavior," Journal of Consumer Research, Oxford University Press, vol. 19(3), pages 434-448, December.
    11. Srinivasan, Narasimhan & Ratchford, Brian T, 1991. "An Empirical Test of a Model of External Search for Automobiles," Journal of Consumer Research, Oxford University Press, vol. 18(2), pages 233-242, September.
    12. Fiona Scott Morton & Florian Zettelmeyer & Jorge Silva‐Risso, 2001. "Internet Car Retailing," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 501-519, December.
    13. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    14. Deleersnyder, B. & Geyskens, I. & Gielens, K.J.P. & Dekimpe, M.G., 2002. "How cannibalistic is the internet channel? A study of the newspaper industry in the United Kingdom and the Netherlands," Other publications TiSEM 16dcb25c-7ea9-4c75-bdf6-5, Tilburg University, School of Economics and Management.
    15. Noble, Stephanie M. & Griffith, David A. & Weinberger, Marc G., 2005. "Consumer derived utilitarian value and channel utilization in a multi-channel retail context," Journal of Business Research, Elsevier, vol. 58(12), pages 1643-1651, December.
    16. Fiona Scott Morton & Florian Zettelmeyer & Jorge Silva-Risso, 2001. "Internet Car Retailing," NBER Chapters, in: E-commerce, pages 501-519, National Bureau of Economic Research, Inc.
    17. Morton, Fiona Scott & Zettelmeyer, Florian & Silva-Risso, Jorge, 2001. "Internet Car Retailing," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 501-519, December.
    18. Keen, Cherie & Wetzels, Martin & de Ruyter, Ko & Feinberg, Richard, 2004. "E-tailers versus retailers: Which factors determine consumer preferences," Journal of Business Research, Elsevier, vol. 57(7), pages 685-695, July.
    19. LAURENT, Gilles & CHANDON, Pierre & WANSINK, Brian, 2000. "A benefit congruency framework of sales promotion effectiveness," HEC Research Papers Series 698, HEC Paris.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Flavián, Carlos & Gurrea, Raquel & Orús, Carlos, 2020. "Combining channels to make smart purchases: The role of webrooming and showrooming," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    2. Fiona Scott Morton, 2006. "Consumer Benefit from Use of the Internet," NBER Chapters, in: Innovation Policy and the Economy, Volume 6, pages 67-90, National Bureau of Economic Research, Inc.
    3. Michael R. Baye & John Morgan, 2009. "Brand and Price Advertising in Online Markets," Management Science, INFORMS, vol. 55(7), pages 1139-1151, July.
    4. Nakano, Satoshi & Kondo, Fumiyo N., 2018. "Customer segmentation with purchase channels and media touchpoints using single source panel data," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 142-152.
    5. Maggioni, Isabella & Sands, Sean & Kachouie, Reza & Tsarenko, Yelena, 2019. "Shopping for well-being: The role of consumer decision-making styles," Journal of Business Research, Elsevier, vol. 105(C), pages 21-32.
    6. Fay, Scott, 2008. "Selling an opaque product through an intermediary: The case of disguising one's product," Journal of Retailing, Elsevier, vol. 84(1), pages 59-75.
    7. Martos-Partal, Mercedes & González-Benito, Óscar, 2013. "Studying motivations of store-loyal buyers across alternative measures of behavioural loyalty," European Management Journal, Elsevier, vol. 31(4), pages 348-358.
    8. Erik Brynjolfsson & Yu (Jeffrey) Hu & Michael D. Smith, 2003. "Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers," Management Science, INFORMS, vol. 49(11), pages 1580-1596, November.
    9. Glenn Ellison & Sara Fisher Ellison, 2005. "Lessons About Markets from the Internet," Journal of Economic Perspectives, American Economic Association, vol. 19(2), pages 139-158, Spring.
    10. Arnold Michael A. & Pénard Thierry, 2007. "Bargaining and Fixed Price Offers: How Online Intermediaries are Changing New Car Transactions," Review of Network Economics, De Gruyter, vol. 6(2), pages 1-27, June.
    11. Heitz-Spahn, Sandrine, 2013. "Cross-channel free-riding consumer behavior in a multichannel environment: An investigation of shopping motives, sociodemographics and product categories," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 570-578.
    12. Zhao-Hong Cheng & Chun-Tuan Chang & Yu-Kang Lee, 2020. "Linking hedonic and utilitarian shopping values to consumer skepticism and green consumption: the roles of environmental involvement and locus of control," Review of Managerial Science, Springer, vol. 14(1), pages 61-85, February.
    13. Jeffrey R. Kling & Sendhil Mullainathan & Eldar Shafir & Lee C. Vermeulen & Marian V. Wrobel, 2012. "Comparison Friction: Experimental Evidence from Medicare Drug Plans," The Quarterly Journal of Economics, Oxford University Press, vol. 127(1), pages 199-235.
    14. Maris Goldmanis & Ali Hortaçsu & Chad Syverson & Önsel Emre, 2010. "E-Commerce and the Market Structure of Retail Industries," Economic Journal, Royal Economic Society, vol. 120(545), pages 651-682, June.
    15. Kulkarni, Gauri & Ratchford, Brian T. & Kannan, P.K., 2012. "The Impact of Online and Offline Information Sources on Automobile Choice Behavior," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 167-175.
    16. Grant, Robert & Clarke, Rodney J. & Kyriazis, Elias, 2010. "Research needs for assessing online value creation in complex consumer purchase process behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 17(1), pages 53-60.
    17. Ramnath K. Chellappa & Raymond G. Sin & S. Siddarth, 2011. "Price Formats as a Source of Price Dispersion: A Study of Online and Offline Prices in the Domestic U.S. Airline Markets," Information Systems Research, INFORMS, vol. 22(1), pages 83-98, March.
    18. Khan, Beethika S., 2004. "Consumer Adoption of Online Banking: Does Distance Matter?," Department of Economics, Working Paper Series qt2bt1d76s, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    19. Michael R. Baye & John Morgan, 2005. "Probabilistic Patents," Microeconomics 0504004, University Library of Munich, Germany.
    20. Erik Brynjolfsson & Yu (Jeffrey) Hu & Duncan Simester, 2011. "Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales," Management Science, INFORMS, vol. 57(8), pages 1373-1386, August.


    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:eee:jouret:v:84:y:2008:i:4:p:398-413. 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: . General contact details of provider: .

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: .

    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.