IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v19y2000i1p83-103.html
   My bibliography  Save this article

Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution

Author

Listed:
  • John G. Lynch , Jr.

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708-0120)

  • Dan Ariely

    (Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142)

Abstract

A fundamental dilemma confronts retailers with stand-alone sites on the World Wide Web and those attempting to build electronic malls for delivery via the Internet, online services, or interactive television (Alba et al. 1997). For consumers, the main potential advantage of electronic shopping over other channels is a reduction in search costs for products and product-related information. Retailers, however, fear that such lowering of consumers' search costs will intensify competition and lower margins by expanding the scope of competition from local to national and international. Some retailers' electronic offerings have been constructed to thwart comparison shopping and to ward off price competition, dimming the appeal of many initial electronic shopping services. Ceteris paribus, if electronic shopping lowers the cost of acquiring price information, it should increase price sensitivity, just as is the case for price advertising. In a similar vein, though, electronic shopping can lower the cost of search for quality information. Most analyses ignore the offsetting potential of the latter effect to lower price sensitivity in the current period. They also ignore the potential of maximally transparent shopping systems to produce welfare gains that give consumers a long-term reason to give repeat business to electronic merchants (cf. Alba et al. 1997, Bakos 1997). We test conditions under which lowered search costs should increase or decrease price sensitivity. We conducted an experiment in which we varied independently three different search costs via electronic shopping: search cost for price information, search cost for quality information within a given store, and search cost for comparing across two competing electronic wine stores. Consumers spent their own money purchasing wines from two competing electronic merchants selling some overlapping and some unique wines. We show four primary empirical results. First, for differentiated products like wines, lowering the cost of search for quality information reduced price sensitivity. Second, price sensitivity for wines common to both stores increased when cross-store comparison was made easy, as many analysts have assumed. However, easy cross-store comparison had no effect on price sensitivity for unique wines. Third, making information environments more transparent by lowering all three search costs produced welfare gains for consumers. They liked the shopping experience more, selected wines they liked more in subsequent tasting, and their retention probability was higher when they were contacted two months later and invited to continue using the electronic shopping service from home. Fourth, we examined the implications of these results for manufacturers and examined how market shares of wines sold by two stores or one were affected by search costs. When store comparison was difficult, results showed that the market share of common wines was proportional to share of distribution; but when store comparison was made easy, the market share returns to distribution decreased signi.cantly. All these results suggest incentives for retailers carrying differentiated goods to make information environments maximally transparent, but to avoid price competition by carrying more unique merchandise.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormksc:v:19:y:2000:i:1:p:83-103
    DOI: 10.1287/mksc.19.1.83.15183
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.19.1.83.15183
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.19.1.83.15183?utm_source=ideas
    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
    ---><---

    References listed on IDEAS

    as
    1. Huber, Joel & Payne, John W & Puto, Christopher, 1982. "Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(1), pages 90-98, June.
    2. Lynch, John G, Jr, 1982. "On the External Validity of Experiments in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 225-239, December.
    3. Anil Kaul & Dick R. Wittink, 1995. "Empirical Generalizations About the Impact of Advertising on Price Sensitivity and Price," Marketing Science, INFORMS, vol. 14(3_supplem), pages 151-160.
    4. Dhar, Ravi, 1997. "Consumer Preference for a No-Choice Option," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 215-231, September.
    5. David J. Reibstein & Paul W. Farris, 1995. "Market Share and Distribution: A Generalization, a Speculation, and Some Implications," Marketing Science, INFORMS, vol. 14(3_supplem), pages 190-202.
    6. Luce, Mary Frances, 1998. "Choosing to Avoid: Coping with Negatively Emotion-Laden Consumer Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(4), pages 409-433, March.
    7. Ariely, Dan & Wallsten, Thomas S., 1995. "Seeking Subjective Dominance in Multidimensional Space: An Explanation of the Asymmetric Dominance Effect," Organizational Behavior and Human Decision Processes, Elsevier, vol. 63(3), pages 223-232, September.
    8. Ehrlich, Isaac & Fisher, Lawrence, 1982. "The Derived Demand for Advertising: A Theoretical and Empirical Investigation," American Economic Review, American Economic Association, vol. 72(3), pages 366-388, June.
    9. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    10. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
    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. Marcel Lichters & Marko Sarstedt & Bodo Vogt, 2015. "On the practical relevance of the attraction effect: A cautionary note and guidelines for context effect experiments," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(1), pages 1-19, June.
    2. Köcher, Sören & Jugovac, Michael & Jannach, Dietmar & Holzmüller, Hartmut H., 2019. "New Hidden Persuaders: An Investigation of Attribute-Level Anchoring Effects of Product Recommendations," Journal of Retailing, Elsevier, vol. 95(1), pages 24-41.
    3. Marcel Lichters & Marko Sarstedt & Bodo Vogt, 2015. "On the practical relevance of the attraction effect: A cautionary note and guidelines for context effect experiments," AMS Review, Springer;Academy of Marketing Science, vol. 5(1), pages 1-19, June.
    4. Mark Heitmann & Andreas Herrmann, 2007. "Die Zufriedenheit mit dem Entscheidungsprozess als Determinante der Kundenbindung," Schmalenbach Journal of Business Research, Springer, vol. 59(5), pages 530-566, August.
    5. Georgios Gerasimou, 2016. "Asymmetric dominance, deferral, and status quo bias in a behavioral model of choice," Theory and Decision, Springer, vol. 80(2), pages 295-312, February.
    6. Maltz, Amnon & Rachmilevitch, Shiran, 2021. "A model of menu-dependent evaluations and comparison-aversion," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 91(C).
    7. William M. Hedgcock & Raghunath Singh Rao & Haipeng (Allan) Chen, 2016. "Choosing to Choose: The Effects of Decoys and Prior Choice on Deferral," Management Science, INFORMS, vol. 62(10), pages 2952-2976, October.
    8. Cheng, Yin-Hui & Chuang, Shih-Chieh & Pei-I Yu, Annie & Lai, Wan-Ting, 2019. "Change in your wallet, change your choice: The effect of the change-matching heuristic on choice," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 67-76.
    9. Georgios, Gerasimou, 2013. "A Behavioural Model of Choice in the Presence of Decision Conflict," SIRE Discussion Papers 2013-25, Scottish Institute for Research in Economics (SIRE).
    10. Simonson, Itamar & Kramer, Thomas & Young, Maia J., 2004. "Effect propensity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 95(2), pages 156-174, November.
    11. Gonzalez-Prieto, David & Sallan, Jose M. & Simo, Pep & Carrion, Raimon, 2013. "Effects of the addition of simple and double decoys on the purchasing process of airline tickets," Journal of Air Transport Management, Elsevier, vol. 29(C), pages 39-45.
    12. Simonson, Itamar & Kramer, Thomas & Young, Maia, 2003. "Effect Propensity: The Location of the Reference State in the Option Space as a Determinant of the Direction of Effects on Choice," Research Papers 1788, Stanford University, Graduate School of Business.
    13. Scholten, Marc, 2002. "Conflict-mediated choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 88(2), pages 683-718, July.
    14. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
    15. Amos Schurr & Yaakov Kareev & Judith Avrahami & Ilana Ritov, 2012. "Taking the Broad Perspective: Risky Choices in Repeated Proficiency Tasks," Discussion Paper Series dp621, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    16. Kopalle, Praveen & Biswas, Dipayan & Chintagunta, Pradeep K. & Fan, Jia & Pauwels, Koen & Ratchford, Brian T. & Sills, James A., 2009. "Retailer Pricing and Competitive Effects," Journal of Retailing, Elsevier, vol. 85(1), pages 56-70.
    17. Ratchford, Brian T., 2009. "Online Pricing: Review and Directions for Research," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 82-90.
    18. Heribert Gierl & Christina Eleftheriadou, 2005. "Asymmetrisch überlegene Stockouts als Phantomprodukte," Schmalenbach Journal of Business Research, Springer, vol. 57(6), pages 475-502, September.
    19. Koehler, C.F. & Breugelmans, E. & Dellaert, B.G.C., 2010. "Consumer Acceptance of Recommendations by Interactive Decision Aids: The Joint Role of Temporal Distance and Concrete vs. Abstract Communications," ERIM Report Series Research in Management ERS-2010-041-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Ting Li & Robert J. Kauffman & Eric van Heck & Peter Vervest & Benedict G. C. Dellaert, 2014. "Consumer Informedness and Firm Information Strategy," Information Systems Research, INFORMS, vol. 25(2), pages 345-363, June.

    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:19:y:2000:i:1:p:83-103. See general information about how to correct material in RePEc.

    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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.