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The role of online buzz for leader versus challenger brands: the case of the MP3 player market

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  • Hyun S. Shin

    (Hanyang University)

  • Dominique M. Hanssens

    (UCLA Anderson School of Management)

  • Kyoo il Kim

    (Michigan State University)

Abstract

Online buzz reflects the perceived quality of products in a positive, negative, or neutral way. We have limited understanding of how customers’ quality perceptions, often referred to as e-sentiment, affect the movement of prices. In this paper, we examine the effect of e-sentiment on the daily price fluctuations of MP3 players by using daily buzz information collected from diverse online documents. Econometric panel data modeling reveals that e-sentiment is a leading indicator of price fluctuations. Furthermore, we find the effect is moderated by the brand’s market position: the leading (challenger) brand’s price responds more strongly to negative (positive) online buzz. In other words, negative buzz has a greater adverse effect on leading brands, whereas positive buzz has a greater beneficial effect on challenger brands. These findings establish the relevance of e-sentiment information to online price movements and suggest that managers should frequently monitor the online buzz surrounding their products, especially as it relates to their relative perceived quality.

Suggested Citation

  • Hyun S. Shin & Dominique M. Hanssens & Kyoo il Kim, 2016. "The role of online buzz for leader versus challenger brands: the case of the MP3 player market," Electronic Commerce Research, Springer, vol. 16(4), pages 503-528, December.
    • Handle: RePEc:spr:elcore:v:16:y:2016:i:4:d:10.1007_s10660-016-9218-7
    DOI: 10.1007/s10660-016-9218-7
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    1. Karen Clay & Ramayya Krishnan & Eric Wolff & Danny Fernandes, 2002. "Retail Strategies on the Web: Price and Non–price Competition in the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 351-367, September.
    2. Judith Chevalier & Austan Goolsbee, 2003. "Measuring Prices and Price Competition Online: Amazon.com and BarnesandNoble.com," Quantitative Marketing and Economics (QME), Springer, vol. 1(2), pages 203-222, June.
    3. Patrick Bajari & Ali Hortaçsu, 2004. "Economic Insights from Internet Auctions," Journal of Economic Literature, American Economic Association, vol. 42(2), pages 457-486, June.
    4. Chrysanthos Dellarocas, 2006. "Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms," Management Science, INFORMS, vol. 52(10), pages 1577-1593, October.
    5. Yannis Bakos, 2001. "The Emerging Landscape for Retail E-Commerce," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 69-80, Winter.
    6. 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.
    7. Herr, Paul M & Kardes, Frank R & Kim, John, 1991. "Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 454-462, March.
    8. Patrick Bajari & C. Lanier Benkard, 2005. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Journal of Political Economy, University of Chicago Press, vol. 113(6), pages 1239-1276, December.
    9. Clay, Karen, et al, 2002. "Retail Strategies on the Web: Price and Non-price Competition in the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 351-367, September.
    10. Michael R. Baye & John Morgan & Patrick Scholten, 2004. "Temporal Price Dispersion: Evidence from an Online Consumer Electronics Market," Working Papers 2004-04, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    11. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, Decembrie.
    12. 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.
    13. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    14. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    15. Shyam Gopinath & Pradeep K. Chintagunta & Sriram Venkataraman, 2013. "Blogs, Advertising, and Local-Market Movie Box Office Performance," Management Science, INFORMS, vol. 59(12), pages 2635-2654, December.
    16. Bin Gu & Jaehong Park & Prabhudev Konana, 2012. "Research Note ---The Impact of External Word-of-Mouth Sources on Retailer Sales of High-Involvement Products," Information Systems Research, INFORMS, vol. 23(1), pages 182-196, March.
    17. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    18. Garrett P. Sonnier & Leigh McAlister & Oliver J. Rutz, 2011. "A Dynamic Model of the Effect of Online Communications on Firm Sales," Marketing Science, INFORMS, vol. 30(4), pages 702-716, July.
    19. Yubo Chen & Jinhong Xie, 2005. "Third-Party Product Review and Firm Marketing Strategy," Marketing Science, INFORMS, vol. 24(2), pages 218-240, February.
    20. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    21. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    22. Gerard J. Tellis & Joseph Johnson, 2007. "The Value of Quality," Marketing Science, INFORMS, vol. 26(6), pages 758-773, 11-12.
    23. David Godes & Dina Mayzlin & Yubo Chen & Sanjiv Das & Chrysanthos Dellarocas & Bruce Pfeiffer & Barak Libai & Subrata Sen & Mengze Shi & Peeter Verlegh, 2005. "The Firm's Management of Social Interactions," Marketing Letters, Springer, vol. 16(3), pages 415-428, December.
    24. Patrick Bajari & Jane Cooley Fruehwirth & Kyoo il Kim & Christopher Timmins, 2012. "A Rational Expectations Approach to Hedonic Price Regressions with Time-Varying Unobserved Product Attributes: The Price of Pollution," American Economic Review, American Economic Association, vol. 102(5), pages 1898-1926, August.
    25. Robert Meyer & Eric J. Johnson, 1995. "Empirical Generalizations in the Modeling of Consumer Choice," Marketing Science, INFORMS, vol. 14(3_supplem), pages 180-189.
    26. 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.
    27. East, Robert & Hammond, Kathy & Lomax, Wendy, 2008. "Measuring the impact of positive and negative word of mouth on brand purchase probability," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 215-224.
    28. Eileen Bridges & Chi Kin (Bennett) Yim & Richard A. Briesch, 1995. "A High-Tech Product Market Share Model with Customer Expectations," Marketing Science, INFORMS, vol. 14(1), pages 61-81.
    29. Rao, Akshay R & Monroe, Kent B, 1996. "Causes and Consequences of Price Premiums," The Journal of Business, University of Chicago Press, vol. 69(4), pages 511-535, October.
    30. Michael R. Baye & John Morgan & Patrick Scholten, 2004. "Price Dispersion In The Small And In The Large: Evidence From An Internet Price Comparison Site," Journal of Industrial Economics, Wiley Blackwell, vol. 52(4), pages 463-496, December.
    31. Reingen, Peter H, et al, 1984. "Brand Congruence in Interpersonal Relations: A Social Network Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(3), pages 771-783, December.
    32. Leigh McAlister & Garrett Sonnier & Tom Shively, 2012. "The relationship between online chatter and firm value," Marketing Letters, Springer, vol. 23(1), pages 1-12, March.
    33. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
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