IDEAS home Printed from https://ideas.repec.org/p/ysm/somwrk/ysm413.html
   My bibliography  Save this paper

The Effect of Word of Mouth on Sales: Online Book Reviews

Author

Listed:
  • Dina Mayzlin

    (Yale University, School of Management)

  • Judith A. Chevalier

    (Yale University, School of Management)

Abstract

The creation of online consumer communities to provide product reviews and advice has been touted as an important, albeit somewhat expensive component of Internet retail strategies. In this paper, we characterize reviewer behavior at two popular Internet sites and examine the effect of consumer reviews on firms' sales. We use publicly available data from the two leading online booksellers, Amazon.com and BarnesandNoble.com, to construct measures of each firm's sales of individual books. We also gather extensive consumer review data at the two sites. First, we characterize the reviewer behavior on the two sites such as the distribution of the number of ratings and the valence and length of ratings, as well as ratings across different subject categories. Second, we measure the effect of individual reviews on the relative shares of books across the two sites. We argue that our methodology of comparing the sales and reviews of a given book across Internet retailers allows us to improve on the existing literature by better capturing a causal relationship between word of mouth (reviews) and sales since we are able to difference out factors that affect the sales and word of mouth of both retailers, such as the book's quality. We examine the incremental sales effects of having reviews for a particular book versus not having reviews and also the differential sales effects of positive and negative reviews. Our large database of books also allows us to control for other important confounding factors such as differences across the sites in prices and shipping times.

Suggested Citation

  • Dina Mayzlin & Judith A. Chevalier, 2003. "The Effect of Word of Mouth on Sales: Online Book Reviews," Yale School of Management Working Papers ysm413, Yale School of Management.
    • Handle: RePEc:ysm:somwrk:ysm413
    as

    Download full text from publisher

    File URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=432481
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Karen Clay & Ramayya Krishnan & Eric Wolff, 2001. "Prices and Price Dispersion on the Web: Evidence from the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 521-539, December.
    2. Judith A. Chevalier & Austan Goolsbee, 2003. "Valuing Internet Retailers: Amazon and Barnes and Noble," Yale School of Management Working Papers ysm416, Yale School of Management.
    3. Glenn Ellison & Drew Fudenberg, 1995. "Word-of-Mouth Communication and Social Learning," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 93-125.
    4. Paul Resnick & Christopher Avery & Richard Zeckhauser, 1999. "The Market for Evaluations," American Economic Review, American Economic Association, vol. 89(3), pages 564-584, June.
    5. Austan Goolsbee & Judith Chevalier, 2002. "Measuring Prices and Price Competition Online: Amazon and Barnes and Noble," NBER Working Papers 9085, National Bureau of Economic Research, Inc.
    6. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    7. 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.
    8. repec:bla:jindec:v:49:y:2001:i:4:p:521-39 is not listed on IDEAS
    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. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    2. 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.
    3. 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.
    4. Michael R. Baye & John Morgan, 2009. "Brand and Price Advertising in Online Markets," Management Science, INFORMS, vol. 55(7), pages 1139-1151, July.
    5. Michael R. Baye & John Morgan, 2005. "Probabilistic Patents," Microeconomics 0504004, University Library of Munich, Germany.
    6. Erik Lehmann, 2003. "Pricing Behavior on the WEB: Evidence from Online Travel Agencies," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(4), pages 379-396, December.
    7. Jifeng Luo & Han Zhang & Haizheng Li, 2018. "Pricing strategies in online book industry: a comparative study," Information Systems and e-Business Management, Springer, vol. 16(4), pages 791-816, November.
    8. Michael R. Baye & John Morgan & Patrick Scholten, 2006. "Information, Search, and Price Dispersion," Working Papers 2006-11, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    9. Zhu, Hongwei & Madnick, Stuart & Siegel, Michael, 2003. "Global Comparison Aggregation Services," Working papers 4410-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    10. Moraga-González, José L. & Sándor, Zsolt & Wildenbeest, Matthijs R., 2014. "Prices, Product Differentiation, And Heterogeneous Search Costs," IESE Research Papers D/1097, IESE Business School.
    11. Philipp Kircher & Andrew Postlewaite, 2008. "Strategic Firms and Endogenous Consumer Emulation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 621-661.
    12. Gary E. Bolton & Elena Katok & Axel Ockenfels, 2004. "How Effective Are Electronic Reputation Mechanisms? An Experimental Investigation," Management Science, INFORMS, vol. 50(11), pages 1587-1602, November.
    13. Ya-Ling Chiu & Jiangze Du & Jying-Nan Wang, 2022. "The Effects of Price Dispersion on Sales in the Automobile Industry: A Dynamic Panel Analysis," SAGE Open, , vol. 12(3), pages 21582440221, August.
    14. Cabolis, Christos & Clerides, Sofronis & Ioannou, Ioannis & Senft, Daniel, 2007. "A textbook example of international price discrimination," Economics Letters, Elsevier, vol. 95(1), pages 91-95, April.
    15. Randy A. Nelson & Richard Cohen & Frederik Roy Rasmussen, 2007. "An Analysis of Pricing Strategy and Price Dispersion on the Internet," Eastern Economic Journal, Eastern Economic Association, vol. 33(1), pages 95-110, Winter.
    16. Saul Lach, 2007. "Immigration and Prices," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 548-587, August.
    17. Böheim, René & Hackl, Franz & Hölzl-Leitner, Michael, 2021. "The impact of price adjustment costs on price dispersion in e-commerce," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    18. Jonathan Levin, 2011. "The Economics of Internet Markets," Discussion Papers 10-018, Stanford Institute for Economic Policy Research.
    19. Delphine Irac & Claire Célérier & Philippe Askenazy, 2010. "Vente à distance, internet et dynamiques des prix," Économie et Prévision, Programme National Persée, vol. 194(3), pages 1-13.
    20. Oksana Loginova, 2009. "Real And Virtual Competition," Journal of Industrial Economics, Wiley Blackwell, vol. 57(2), pages 319-342, June.

    More about this item

    Keywords

    Advertising; word-of-mouth; source credibility; internet marketing;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ysm:somwrk:ysm413. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/smyalus.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.