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Social Networks and New Product Choice

  • Richards, Timothy J.
  • Allender, William J.
  • Hamilton, Stephen F.

In‡uential individuals in a social network environment are important in shaping preferences for new products. In this study, we adopt an incentive compatible choice-based conjoint analysis approach to generate data on the introduction of a new ice cream product. We use spatial econometric methods to determine how individuals are likely to change their preferences when exposed to the choices of other members in their social network. We nd evidence that agents look to others for guidance in their preference for subjective or taste-speci c parameters, but rely on own preferences for objectively measured attributes such as price. We also use spatial methods to determine which network-member is the most in‡uential. We nd that the most connected member is not necessarily the most in‡uential, and that in‡uence can be determined econometrically.

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File URL: http://purl.umn.edu/124762
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Paper provided by Agricultural and Applied Economics Association in its series 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington with number 124762.

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Date of creation: 03 Jun 2012
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Handle: RePEc:ags:aaea12:124762
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  1. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
  2. Antoni Calvo-Armengol & Eleonora Patacchini & Yves Zenou, 2008. "Peer Effects and Social Networks in Education," CReAM Discussion Paper Series 0814, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
  3. Driskill, Robert & McCafferty, Stephen, 2001. "Monopoly and Oligopoly Provision of Addictive Goods," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(1), pages 43-72, February.
  4. Victor Ginsburgh & André De Palma & Yorgo Papageorgiou & Jacques-François Thisse, 1999. "The principle of minimum differentiation holds under sufficient heterogeneity," ULB Institutional Repository 2013/3319, ULB -- Universite Libre de Bruxelles.
  5. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2004. "Who's Who in Networks. Wanted: The Key Player," Working Papers 178, Barcelona Graduate School of Economics.
  6. Trajtenberg, Manuel, 1989. "The Welfare Analysis of Product Innovations, with an Application to Computed Tomography Scanners," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 444-79, April.
  7. Brock, William A. & Durlauf, Steven N., 2007. "Identification of binary choice models with social interactions," Journal of Econometrics, Elsevier, vol. 140(1), pages 52-75, September.
  8. Cardell, N. Scott, 1997. "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity," Econometric Theory, Cambridge University Press, vol. 13(02), pages 185-213, April.
  9. Joris Pinkse & Margaret E. Slade & Craig Brett, 2002. "Spatial Price Competition: A Semiparametric Approach," Econometrica, Econometric Society, vol. 70(3), pages 1111-1153, May.
  10. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-65, July.
  11. 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.
  12. Brock,W.A. & Durlauf,S.N., 2000. "Discrete choice with social interactions," Working papers 7, Wisconsin Madison - Social Systems.
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