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Social Contagion and Customer Adoption of New Sales Channels

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  • Bilgicer, Tolga
  • Jedidi, Kamel
  • Lehmann, Donald R.
  • Neslin, Scott A.

Abstract

We develop and test hypotheses regarding the role of social contagion in customer adoption of new sales channels. We examine two aspects of social contagion (local contagion and homophily) and two channels (Internet and bricks-and-mortar store). Drawing on diffusion theory, we propose a conceptual framework that identifies the factors associated with new channel adoption. Using longitudinal data from a major catalog company and a discrete-time hazard model, we find that (1) social contagion plays a major role in the adoption of new sales channels, (2) both local contagion and homophily influence channel adoption, (3) longer-tenured customers are less influenced by social contagion, and (4) adoption of the Internet channel is more influenced by social contagion than adoption of the bricks-and-mortar store. Managerially, our results suggest that marketing programs that encourage social contagion, for example, word-of-mouth campaigns, be targeted based on both physical and socio-economic proximity, and that such campaigns will play a bigger role in the adoption of new-to-the-world channels.

Suggested Citation

  • Bilgicer, Tolga & Jedidi, Kamel & Lehmann, Donald R. & Neslin, Scott A., 2015. "Social Contagion and Customer Adoption of New Sales Channels," Journal of Retailing, Elsevier, vol. 91(2), pages 254-271.
    • Handle: RePEc:eee:jouret:v:91:y:2015:i:2:p:254-271
    DOI: 10.1016/j.jretai.2014.12.006
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    1. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    2. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    3. 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.
    4. Neslin, Scott A. & Shankar, Venkatesh, 2009. "Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 70-81.
    5. Stremersch, S. & Tellis, G.J. & Franses, Ph.H.B.F. & Binken, J.L.G., 2007. "Indirect Network Effects in New Product Growth," ERIM Report Series Research in Management ERS-2007-019-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.
    6. 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.
    7. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    8. Lorin M. Hitt & Frances X. Frei, 2002. "Do Better Customers Utilize Electronic Distribution Channels? The Case of PC Banking," Management Science, INFORMS, vol. 48(6), pages 732-748, 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. Jonathan D. Bohlmann & José Antonio Rosa & Ruth N. Bolton & William J. Qualls, 2006. "The Effect of Group Interactions on Satisfaction Judgments: Satisfaction Escalation," Marketing Science, INFORMS, vol. 25(4), pages 301-321, July.
    11. Michael R. Ward, 2001. "Will Online Shopping Compete More with Traditional Retailing or Catalog Shopping?," Netnomics, Springer, vol. 3(2), pages 103-117, September.
    12. 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.
    13. Centola, Damon & van de Rijt, Arnout, 2015. "Choosing your network: Social preferences in an online health community," Social Science & Medicine, Elsevier, vol. 125(C), pages 19-31.
    14. Keen, Cherie & Wetzels, Martin & de Ruyter, Ko & Feinberg, Richard, 2004. "E-tailers versus retailers: Which factors determine consumer preferences," Journal of Business Research, Elsevier, vol. 57(7), pages 685-695, July.
    15. Scott Neslin & Kinshuk Jerath & Anand Bodapati & Eric Bradlow & John Deighton & Sonja Gensler & Leonard Lee & Elisa Montaguti & Rahul Telang & Raj Venkatesan & Peter Verhoef & Z. Zhang, 2014. "The interrelationships between brand and channel choice," Marketing Letters, Springer, vol. 25(3), pages 319-330, September.
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