IDEAS home Printed from https://ideas.repec.org/a/eee/joinma/v25y2011i2p85-94.html
   My bibliography  Save this article

The Role of Marketing in Social Media: How Online Consumer Reviews Evolve

Author

Listed:
  • Chen, Yubo
  • Fay, Scott
  • Wang, Qi

Abstract

Social media provide an unparalleled platform for consumers to publicize their personal evaluations of purchased products and thus facilitate word-of-mouth communication. This paper examines relationships between consumer posting behavior and marketing variables—such as product price and quality—and explores how these relationships evolve as the Internet and consumer review websites attract more universal acceptance. Based on automobile-model data from several leading online consumer review sources that were collected in 2001 and 2008, this study demonstrates that the relationships between marketing variables and consumer online-posting behavior are different at the early and mature stages of Internet usage. For instance, in the early stage of consumer Internet usage, price is negatively correlated with the propensity to post a review. As consumer Internet usage becomes prevalent, however, the relationship between price and the number of online consumer reviews shifts to a U-shape. In contrast, in the early years, price has a U-shaped relationship with overall consumer rating, but this correlation between price and overall rating becomes less significant in the later period. Such differences at the two different stages of Internet usage can be driven by different groups of consumers with different motivations for online review posting.

Suggested Citation

  • Chen, Yubo & Fay, Scott & Wang, Qi, 2011. "The Role of Marketing in Social Media: How Online Consumer Reviews Evolve," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 85-94.
  • Handle: RePEc:eee:joinma:v:25:y:2011:i:2:p:85-94
    DOI: 10.1016/j.intmar.2011.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1094996811000041
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intmar.2011.01.003?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
    ---><---

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

    References listed on IDEAS

    as
    1. Fehr, Ernst & Falk, Armin, 2002. "Psychological foundations of incentives," European Economic Review, Elsevier, vol. 46(4-5), pages 687-724, May.
    2. Punj, Girish N & Staelin, Richard, 1983. "A Model of Consumer Information Search Behavior for New Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 366-380, March.
    3. K. Sudhir, 2001. "Competitive Pricing Behavior in the Auto Market: A Structural Analysis," Marketing Science, INFORMS, vol. 20(1), pages 42-60, January.
    4. Dhar, Vasant & Chang, Elaine A., 2009. "Does Chatter Matter? The Impact of User-Generated Content on Music Sales," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 300-307.
    5. Robin Cowan & William Cowan & G.M. Peter Swann, 2004. "Waves in consumption with interdependence among consumers," Canadian Journal of Economics, Canadian Economics Association, vol. 37(1), pages 149-177, February.
    6. 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.
    7. Yubo Chen & Jinhong Xie, 2005. "Third-Party Product Review and Firm Marketing Strategy," Marketing Science, INFORMS, vol. 24(2), pages 218-240, February.
    8. Gatignon, Hubert & Robertson, Thomas S, 1985. "A Propositional Inventory for New Diffusion Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 849-867, March.
    9. Abhijit V. Banerjee, 1993. "The Economics of Rumours," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(2), pages 309-327.
    10. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    11. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    12. Leonard-Barton, Dorothy, 1985. "Experts as Negative Opinion Leaders in the Diffusion of a Technological Innovation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 914-926, March.
    13. 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.
    14. 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.
    15. 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.
    16. K. Sudhir, 2001. "Competitive Pricing Behavior in the US Auto Market: A Structural Analysis," Yale School of Management Working Papers ysm228, Yale School of Management.
    17. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    18. McFadden, Daniel L & Train, Kenneth E, 1996. "Consumers' Evaluation of New Products: Learning from Self and Others," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 683-703, August.
    19. Arguea, N M & Hsiao, C & Taylor, G A, 1994. "Estimating Consumer Preferences Using Market Data--An Application to U.S. Automobile Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(1), pages 1-18, Jan.-Marc.
    20. Friedman, Monroe, 1987. "Survey Data on Owner-Reported Car Problems: How Useful to Prospective Purchasers of Used Cars?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 434-439, December.
    21. Dina Mayzlin, 2006. "Promotional Chat on the Internet," Marketing Science, INFORMS, vol. 25(2), pages 155-163, 03-04.
    22. Feng, Jie & Papatla, Purushottam, 2011. "Advertising: Stimulant or Suppressant of Online Word of Mouth?," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 75-84.
    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. Guofang Huang, 2020. "When to haggle, when to hold firm? Lessons from the used‐car retail market," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(3), pages 579-604, July.
    2. Yogesh V. Joshi & Andres Musalem, 2021. "When Consumers Learn, Money Burns: Signaling Quality via Advertising with Observational Learning and Word of Mouth," Marketing Science, INFORMS, vol. 40(1), pages 168-188, January.
    3. Jorge Silva-Risso & Irina Ionova, 2008. "—A Nested Logit Model of Product and Transaction-Type Choice for Planning Automakers' Pricing and Promotions," Marketing Science, INFORMS, vol. 27(4), pages 545-566, 07-08.
    4. Paulo Albuquerque & Bart J. Bronnenberg, 2012. "Measuring the Impact of Negative Demand Shocks on Car Dealer Networks," Marketing Science, INFORMS, vol. 31(1), pages 4-23, January.
    5. Yuxin Chen & Sha Yang & Ying Zhao, 2008. "A Simultaneous Model of Consumer Brand Choice and Negotiated Price," Management Science, INFORMS, vol. 54(3), pages 538-549, March.
    6. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    7. Chakravarty, Anindita & Liu, Yong & Mazumdar, Tridib, 2010. "The Differential Effects of Online Word-of-Mouth and Critics' Reviews on Pre-release Movie Evaluation," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 185-197.
    8. Jurui Zhang & Yong Liu & Yubo Chen, 2015. "Social Learning in Networks of Friends versus Strangers," Marketing Science, INFORMS, vol. 34(4), pages 573-589, July.
    9. David Godes, 2017. "Product Policy in Markets with Word-of-Mouth Communication," Management Science, INFORMS, vol. 63(1), pages 267-278, January.
    10. Kostyra, Daniel S. & Reiner, Jochen & Natter, Martin & Klapper, Daniel, 2016. "Decomposing the effects of online customer reviews on brand, price, and product attributes," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 11-26.
    11. Oksana Loginova & Andrea Mantovani, 2019. "Price competition in the presence of a web aggregator," Journal of Economics, Springer, vol. 126(1), pages 43-73, January.
    12. O. Loginova & A. Mantovani, 2015. "Information and Online Reviews," Working Papers wp996, Dipartimento Scienze Economiche, Universita' di Bologna.
    13. 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.
    14. Singh, Sonika & Jang, Sungha, 2022. "Search, purchase, and satisfaction in a multiple-channel environment: How have mobile devices changed consumer behaviors?," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    15. Pinar Yildirim & Esther Gal-Or & Tansev Geylani, 2013. "User-Generated Content and Bias in News Media," Management Science, INFORMS, vol. 59(12), pages 2655-2666, December.
    16. Yashar Dehdashti & Brian T. Ratchford & Aidin Namin, 2018. "Who searches where? A new car buyer study," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(2), pages 44-52, June.
    17. Angshuman Ghosh & Sanjeev Varshney & Pingali Venugopal, 2014. "Social Media WOM: Definition, Consequences and Inter-relationships," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 39(3), pages 293-308, August.
    18. Ganesh Iyer & V. Padmanabhan, 2006. "—Internet-Based Service Institutions," Marketing Science, INFORMS, vol. 25(6), pages 598-600, 11-12.
    19. Monic Sun, 2012. "How Does the Variance of Product Ratings Matter?," Management Science, INFORMS, vol. 58(4), pages 696-707, April.
    20. Yabing Jiang & Hong Guo, 2015. "Design of Consumer Review Systems and Product Pricing," Information Systems Research, INFORMS, vol. 26(4), pages 714-730, December.

    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:eee:joinma:v:25:y:2011:i:2:p:85-94. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-interactive-marketing/ .

    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.