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“Ten Million Readers Can’t Be Wrong!,” or Can They? On the Role of Information About Adoption Stock in New Product Trial

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  • Coby Morvinski

    (Interdisciplinary Center (IDC) Herzliya, Herzliya 46150, Israel)

  • On Amir

    (University of California, San Diego, La Jolla, California 92093)

  • Eitan Muller

    (Interdisciplinary Center (IDC) Herzliya, Herzliya 46150, Israel; New York University, New York, New York 10012)

Abstract

Most new-product frameworks in marketing and economics, as well as lay beliefs and practices, hold that the larger the stock of adoption of a new product, the greater the likelihood of additional adoption. Less is known about the underlying mechanisms as well as the conditions under which this central assumption holds. We use a series of field and consequential choice experiments to demonstrate the existence of nonpositive and even negative effects of large adoption stock information on the likelihood of subsequent adoption. The results highlight the degree of homophily with the adopting stock as well as the level of customer uncertainty as key characteristics determining the nature of the effect of stock information. In particular, information about a large existing adoption stock generates a positive effect on adoption only under moderate customer uncertainty combined with sufficient homophily; in other levels of uncertainty and/or homophily we find effects ranging from null to negative. This is the first direct test and demonstration of the intricate role of information about a large stock of adoption in the new product diffusion process, and it carries direct implications for marketers.

Suggested Citation

  • Coby Morvinski & On Amir & Eitan Muller, 2017. "“Ten Million Readers Can’t Be Wrong!,” or Can They? On the Role of Information About Adoption Stock in New Product Trial," Marketing Science, INFORMS, vol. 36(2), pages 290-300, March.
    • Handle: RePEc:inm:ormksc:v:36:y:2017:i:2:p:290-300
    DOI: 10.1287/mksc.2016.1011
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    as
    1. Dina Mayzlin & Jiwoong Shin, 2011. "Uninformative Advertising as an Invitation to Search," Marketing Science, INFORMS, vol. 30(4), pages 666-685, July.
    2. Clee, Mona A & Wicklund, Robert A, 1980. "Consumer Behavior and Psychological Reactance," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 6(4), pages 389-405, March.
    3. Pesendorfer, Wolfgang, 1995. "Design Innovation and Fashion Cycles," American Economic Review, American Economic Association, vol. 85(4), pages 771-792, September.
    4. Mark Grinblatt & Matti Keloharju & Seppo Ikäheimo, 2008. "Social Influence and Consumption: Evidence from the Automobile Purchases of Neighbors," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 735-753, November.
    5. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    6. Wilfred Amaldoss & Sanjay Jain, 2005. "Conspicuous Consumption and Sophisticated Thinking," Management Science, INFORMS, vol. 51(10), pages 1449-1466, October.
    7. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
    8. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    9. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    10. Grewal, Dhruv & Gotlieb, Jerry & Marmorstein, Howard, 1994. "The Moderating Effects of Message Framing and," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 145-153, June.
    11. Katherine White & Darren W. Dahl, 2007. "Are All Out-Groups Created Equal? Consumer Identity and Dissociative Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 525-536, June.
    12. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    13. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    14. Catherine Tucker & Juanjuan Zhang, 2011. "How Does Popularity Information Affect Choices? A Field Experiment," Management Science, INFORMS, vol. 57(5), pages 828-842, May.
    15. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.
    16. Avi Goldfarb & Catherine Tucker, 2011. "Rejoinder--Implications of "Online Display Advertising: Targeting and Obtrusiveness"," Marketing Science, INFORMS, vol. 30(3), pages 413-415, 05-06.
    17. David Bell & Sangyoung Song, 2007. "Neighborhood effects and trial on the internet: Evidence from online grocery retailing," Quantitative Marketing and Economics (QME), Springer, vol. 5(4), pages 361-400, December.
    18. Jonah Berger & Chip Heath, 2007. "Where Consumers Diverge from Others: Identity Signaling and Product Domains," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(2), pages 121-134, June.
    19. Dina Mayzlin, 2006. "Promotional Chat on the Internet," Marketing Science, INFORMS, vol. 25(2), pages 155-163, 03-04.
    20. Puneet Manchanda & Ying Xie & Nara Youn, 2008. "The Role of Targeted Communication and Contagion in Product Adoption," Marketing Science, INFORMS, vol. 27(6), pages 961-976, 11-12.
    21. Shimp, Terence A & Bearden, William O, 1982. "Warranty and Other Extrinsic Cue Effects on Consumers' Risk Perceptions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(1), pages 38-46, June.
    22. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
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    3. Appel, Gil & Libai, Barak & Muller, Eitan & Shachar, Ron, 2020. "On the monetization of mobile apps," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 93-107.

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