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Looking Ahead to New Product Diffusion

  • Hubert Gatignon
  • David Gotteland
  • Christophe Haon

Abstract

In the previous chapter, we reviewed models that can be used to estimate the market acceptance for new products. This market acceptance is measured in terms of eventual adopters and also for the product categories where the purchasing cycles are shorter, in terms of early adopters and repeat purchasers. Clearly, knowing the repeat purchase rate for frequently purchased items is essential and must be integrated into the early sales forecasts. For durable goods, this is useful for the long-term strategy of the firm, but the more critical elements at launch time are the forecast of the first purchases and the penetration in the target population. However, because this penetration is not instantaneous or even observable during a test market, we need to understand what drives the diffusion process, and specific models have been developed to forecast this diffusion. In the next section, we develop the theory of diffusion of innovations as a social contagion process. Then, we review models of diffusion forecasts.

Keywords

Market Research Network Effect Consumer Research Early Adopter Network Externality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Albuquerque, Paulo, Bart J. Bronnenberg, and Charles J. Corbett (2007), “A Spatiotemporal Analysis of the Global Diffusion of ISO 9000 and ISO 14000 Certification,” Management Science, 53(3), 451–468.CrossRefGoogle Scholar
  2. Algesheimer, René, Sharad Borle, Uptal M. Dholakia, and Siddharth S. Singh (2010), “The Impact of Customer Community Participation on Customer Behaviors: An Empirical Investigation,” Marketing Science, 29(4), 756–769.CrossRefGoogle Scholar
  3. Anderson, Eugene W. (1998), “Customer Satisfaction and Word of Mouth,” Journal of Service Research, 1(1), 5–17.CrossRefGoogle Scholar
  4. Angelis, Matteo De, Andrea Bonezzi, Alessandro M. Peluso, Derek D. Rucker, and Michele Costabile (2012), “On Braggarts and Gossips: A Self-Enhancement Account of Word-of-Mouth Generation and Transmission,” Journal of Marketing Research, 49(4), 551–63.CrossRefGoogle Scholar
  5. Ansari, Asim, Oded Koenigsberg, and Florian Stahl (2011), “Modeling Multiple Relationships in Social Networks,” Journal of Marketing Research, 48(4), 713–728.CrossRefGoogle Scholar
  6. Aral, Sinan (2011), “Commentary — Identifying Social Influence: A Comment on Opinion Leadership and Social Contagion in New Product Diffusion,” Marketing Science, 30(2), 217–223.CrossRefGoogle Scholar
  7. Aral, Sinan, and Dylan Walker (2011), “Creating Social Contagion through Viral Product Design: A Randomized Trial of Peer Influence in Networks,” Management Science, 57(9), 1623–1639.CrossRefGoogle Scholar
  8. Archak, Nikolay, Anindya Ghose, and Panagiotis G. Ipeirotis (2011), “Deriving the Pricing Power of Product Features by Mining Consumer Reviews,” Management Science, 57(8), 1485–1509.CrossRefGoogle Scholar
  9. Arndt, Johann (1967), “Role of Product-Related Conversations in the Diffusion of a New Product,” Journal of Marketing Research, 4(3), 291–295.CrossRefGoogle Scholar
  10. Banerjee, Abhijit V. (1992), “A Simple Model of Herd Behavior,” The Quarterly Journal of Economics, 107(3), 797–817.CrossRefGoogle Scholar
  11. Bass, Frank M. (1969), “A New-Product Growth Model for Consumer Durables,” Management Science, 15(5), 215–227.CrossRefGoogle Scholar
  12. Bass, Frank M., Trichy V. Krishnan, and Dipak C. Jain (1994), “Why the Bass Model Fits without Decision Variables,” Marketing Science, 13(3), 203–223.CrossRefGoogle Scholar
  13. Basu, Amiya, Tridib Mazumdar, and S. P. Raj (2003), “Indirect Network Externality Effects on Product Attributes,” Marketing Science, 22(2), 209–221.CrossRefGoogle Scholar
  14. Bayus, Barry L. (1987), “Forecasting Sales of New Contingent Products: An Application to the Compact Disk Market,” Journal of Product Innovation Management, 4(4), 243–255.CrossRefGoogle Scholar
  15. Becker, Marshall H. (1970), “Sociometric Location and Innovativeness: Reformulation and Extension of the Diffusion Model,” American Sociological Review, 35(2), 267–282.CrossRefGoogle Scholar
  16. Bental, Benjamin, and Menahem Spiegel (1995), “Network Competition, Product Quality, and Market Coverage in the Presence of Network Externalities,” Journal of Industrial Economics, 43(2), 197–208.CrossRefGoogle Scholar
  17. Berger, Jonah, and Katherine L. Milkman (2012), “What Makes Online Content Viral?,” Journal of Marketing Research, 49(2), 192–205.CrossRefGoogle Scholar
  18. Berger, Jonah, and Eric Schwartz (2011), “What Do People Talk About? Drivers of Immediate and Ongoing Word-of-Mouth,” Journal of Marketing Research, 48(5), 869–880.CrossRefGoogle Scholar
  19. Biyalogorsky, Eyal, Eitan Gerstner, and Barak Libai (2001), “Customer Referral Management: Optimal Reward Programs,” Marketing Science, 20(1), 82–95.CrossRefGoogle Scholar
  20. Blau, Peter M. (1964), Exchange and Power in Social Life, New York, NY: Wiley.Google Scholar
  21. Blau, Peter M. (1974), On the Nature of Organizations, New York, NY: Wiley.Google Scholar
  22. Boatwright, Peter, Suman Basuroy, and Wagner Kamakura (2007), “Reviewing the Reviewers: The Impact of Individual Film Critics on Box Office Performance,” Quantitative Marketing and Economics, 5(4), 401–425.CrossRefGoogle Scholar
  23. Bohlmann, Jonathan D., Peter N. Golder, and Debanjan Mitra (2002), “Deconstructing the Pioneer’s Advantage: Examining Vintage Effects and Consumer Valuations of Quality and Variety,” Management Science, 48(9), 1175–1195.CrossRefGoogle Scholar
  24. Bollinger, Bryan, and Kenneth Gillingham (2012), “Peer Effects in the Diffusion of Solar Photovoltaic Panels,” Marketing Science, 31(6), 900–912.CrossRefGoogle Scholar
  25. Bonardi, Jean-Philippe and Rodolphe Durand (2003), “Managing Network Effects in High-Tech Markets,” Academy of Management Executive, 17(4), 40–52.CrossRefGoogle Scholar
  26. Bottomley, Paul A., and Robert Fildes (1998), “The Role of Prices in Models of Innovation Diffusion,” Journal of Forecasting, 17(7), 539–555.CrossRefGoogle Scholar
  27. Boulding, William, and Markus Christen (2003), “Sustainable Pioneering Advantage? Profit Implications of Market Entry Order,” Marketing Science, 22(3), 371–392.CrossRefGoogle Scholar
  28. Bowman, Douglas, and Hubert Gatignon (1996), “Order of Entry as a Moderator of the Effect of the Marketing Mix on Market Share,” Marketing Science, 15(3), 222–242.CrossRefGoogle Scholar
  29. Bowman, Douglas, and Das Narayandas (2001), “Managing Customer-Initiated Contacts with Manufacturers: The Impact on Share of Category Requirements and Word-of-Mouth Behavior,” Journal of Marketing Research, 38(3), 281–297.CrossRefGoogle Scholar
  30. Bronnenberg, Bart J., and Carl F. Mela (2004), “Market Roll-Out and Retailer Adoption for New Brands,” Marketing Science, 23(4), 500–518.CrossRefGoogle Scholar
  31. Brown, Jacqueline Johnson, and Peter H. Reingen (1987), “Social Ties and Word-of-Mouth Referral Behavior,” Journal of Consumer Research, 14(3), 350–362.CrossRefGoogle Scholar
  32. Brynjolfsson, Erik, and Chris F Kemerer (1996), “Network Software: Externalities in an Microcomputer of the Econometric Analysis Spreadsheet Market,” Management Science, 42(12), 1627–1647.CrossRefGoogle Scholar
  33. Burt, Ronald S. (1987), “Social Contagion and Innovation: Cohesion versus Structural Equivalence,” American Journal of Sociology, 92(6), 1287–1335.CrossRefGoogle Scholar
  34. Caillaud, Bernard, and Bruno Jullien (2003), “Chicken & Egg: Competition among Intermediation Service Providers,” RAND Journal of Economics, 34(2), 309–328.CrossRefGoogle Scholar
  35. Chandrasekaran, Deepa, Joep W. C. Arts, Gerard J. Tellis, and Ruud T. Frambach (2013), “Pricing in the International Takeoff of New Products,” International Journal of Research in Marketing, 30(3), 249–264.CrossRefGoogle Scholar
  36. Chen, Yubo, and Jinhong Xie (2005), “Third-Party Product Review and Firm Marketing Strategy,” Marketing Science, 23(2), 218–240.CrossRefGoogle Scholar
  37. Chen, Yubo, and Jinhong Xie (2008), “Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix,” Management Science, 54(3), 477–491.CrossRefGoogle Scholar
  38. Chevalier, Judith A., and Dina Mayzlin (2006), “The Effect of Word of Mouth on Sales: Online Book Reviews,” Journal of Marketing Research, 43(3), 345–354.CrossRefGoogle Scholar
  39. Choi, Jay Pil (1994), “Network Externality, Compatibility Choice, and Planned Obsolescence,” Journal of Industrial Economics, 42(2), 167–182.CrossRefGoogle Scholar
  40. Chou, Chien-Fu, and Oz Shy (1990), “Network Effects without Network Externalities,” International Journal of Industrial Organization, 8(2), 259–270.CrossRefGoogle Scholar
  41. Chou, Chien-Fu, and Oz Shy (1993), “Partial Compatibility and Supporting Services,” Economics Letters, 41(2), 193–197.CrossRefGoogle Scholar
  42. Chou, Chien-Fu, and Oz Shy (1996), “Do Consumers Gain or Lose When More People Buy the Same Brand,” European Journal of Political Economy, 12(2), 309–330.CrossRefGoogle Scholar
  43. Church, Jeffrey, and Neil Gandal (1992a), “Integration, Complementary Products, and Variety,” Journal of Economics and Management Strategy, 1(4), 651–675.CrossRefGoogle Scholar
  44. Church, Jeffrey, and Neil Gandal (1992b), “Network Effects, Software Provision, and Standardization,” Journal of Industrial Economics, 40(1), 85–103.CrossRefGoogle Scholar
  45. Church, Jeffrey, and Neil Gandal (1993), “Complementary Network Externalities and Technological Adoption,” International Journal of Industrial Organization, 11(2), 239–260.CrossRefGoogle Scholar
  46. Church, Jeffrey, and Neil Gandal (1996), “Strategic Entry Deterrence: Complementary Products as Installed Base,” European Journal of Political Economy, 12(2), 331–354.CrossRefGoogle Scholar
  47. Clark, Bruce H., and Sangit Chatterjee (1999), “The Evolution of Dominant Market Shares: The Role of Network Effects,” Journal of Marketing Theory and Practice, 7(2), 83–96.CrossRefGoogle Scholar
  48. Clements, Matthew T. (2004), “Direct and Indirect Network Effects: Are They Equivalent?,” International Journal of Industrial Organization, 22(5), 633–645.CrossRefGoogle Scholar
  49. Clemens, Matthew T., and Hiroshi Ohashi (2005), “Indirect Network Effects and the Product Cycle: Video Games in the U.S., 1994–2002,” Journal of Industrial Economics, 53(4), 515–542.CrossRefGoogle Scholar
  50. Coleman, James S., Elihu Katz, and Herbert Menzel (1966), Medical Innovation: A Diffusion Study, Indianapolis: Bobbs-Merrill Company.Google Scholar
  51. Conner, Kathleen R. (1995), “Obtaining Strategic Advantage from Being Imitated: When Can Encouraging ‘Clones’ Pay?,” Management Science, 41(2), 209–225.CrossRefGoogle Scholar
  52. Cottrell, Tom, and Ken Koput (1998), “Software Variety and Hard-Ware Value: A Case Study of Complementary Network Externalities in the Microcomputer Software Industry,” Journal of Engineering and Technology Management, 15(4), 309–338.CrossRefGoogle Scholar
  53. De Bruyn, Arnaud, and Gary L. Lilien (2008), “A Multi-Stage Model of Word-of-Mouth Influence through Viral Marketing,” International Journal of Research in Marketing, 25(3), 151–163.CrossRefGoogle Scholar
  54. Decker, Reinhold, and Michael Trusov (2010), “Estimating Aggregate Consumer Preferences from Online Product Reviews,” International Journal of Research in Marketing, 27(4), 293–307.CrossRefGoogle Scholar
  55. Dhebar, Anirudh (1995), “Complementarity, Compatibility, and Product Change: Breaking with the Past?,” Journal of Product Innovation Management, 12(2), 136–152.CrossRefGoogle Scholar
  56. Dickerson, Mary Dee, and James W. Gentry (1983), “Characteristics of Adopters and Non-Adopters of Home Computers,” Journal of Consumer Research, 10(2), 225–235.CrossRefGoogle Scholar
  57. Dranove, David, and Neil Gandal (2003), “The DVD-vs.-DIVX Standard War: Empirical Evidence of Network Effects and Pre-Announcement Effects,” Journal of Economics & Management Strategy, 12(3), 363–386.CrossRefGoogle Scholar
  58. East, Robert, Kathy Hammond, and Malcolm Wright (2007), “The Relative Incidence of Positive and Negative Word of Mouth: A Multi-Category Study,” International Journal of Research in Marketing, 24(2), 175–184.CrossRefGoogle Scholar
  59. Economides, Nicholas (1996), “Network Externalities, Complementarities, and Invitations to Enter,” European Journal of Political Economy, 12(2), 211–233.CrossRefGoogle Scholar
  60. Economides, Nicholas, and Charles Himmelberg (1995), “Critical Mass and Network Size with Application to the US Fax Market,” Working Paper, Stern School of Business, New York University.Google Scholar
  61. Economides, Nicholas, and Lawrence J. White (1994), “Networks and Compatibility: Implications for Antitrust,” European Economic Review, 38(3–4), 651–662.CrossRefGoogle Scholar
  62. Eliashberg, Jehoshua, and Steven M. Shugan (1997), “Film Critics: Influencers or Predictors?,” Journal of Marketing, 61(2), 68–78.CrossRefGoogle Scholar
  63. Esser, Patrick, and Luc Leruth (1988), “Marketing Compatible, yet Differentiated, Products: In Search of Competitive Equilibria When Network Externalities Are at Work,” International Journal of Research in Marketing, 5(4), 251–270.CrossRefGoogle Scholar
  64. Farrell, Joseph, and Garth Saloner (1985), “Standardization, Compatibility, and Innovation,” RAND Journal of Economics, 16(1), 70–83.CrossRefGoogle Scholar
  65. Farrell, Joseph, and Garth Saloner (1986), “Installed Base and Compatibility: Innovation, Product Preannouncements, and Predation,” American Economic Review, 76(5), 940–955.Google Scholar
  66. Forman, Chris, Anindya Ghose, and Batia Wiesenfeld (2008), “Examining the Relationship between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets,” Information Systems Research, 19(3), 291–313.CrossRefGoogle Scholar
  67. Fourt, Louis A., and Joseph W. Woodlock (1960), “Early Prediction of Market Success for New Grocery Products,” Journal of Marketing, 25(2), 31–38.CrossRefGoogle Scholar
  68. Frels, Judy K., Tasadduq Shervani, and Rajendra K. Srivastava (2003), “The Integrated Networks Model: Explaining Resource Allocations in Network Markets,” Journal of Marketing, 67(1), 29–45.CrossRefGoogle Scholar
  69. Gandal, Neil (1995), “Competing Compatibility Standards and Network Externalities in the PC Software Market,” Review of Economics and Statistics, 77(4), 599–608.CrossRefGoogle Scholar
  70. Gandal, Neil (2002), “Compatibility, Standardization, and Network Effects,” Oxford Review of Economic Policy, 18(1), 80–91.CrossRefGoogle Scholar
  71. Gandal, Neil, Shane Greenstein, and David Salant (1999), “Adoptions and Orphans in the Early Microcomputer Market,” Journal of Industrial Economics, 47(1), 87–105.CrossRefGoogle Scholar
  72. Gandal, Neil, Michael Kende, and Rafael Rob (2000), “The Dynamics of Technological Adoption in Hardware/Software Systems: The Case of Compact Disc Players,” Rand Journal of Economics, 31(1), 43–61.CrossRefGoogle Scholar
  73. Garber, Tal, Jacob Goldenberg, Barak Libai, and Eitan Muller (2004), “From Density to Destiny: Using Spatial Dimension of Sales Data for Early Prediction of New Product Success,” Marketing Science, 23(3), 419–428.CrossRefGoogle Scholar
  74. Garud, Raghu, and Arun Kumaraswamy (1993), “Changing Competitive Dynamics in Network Industries: An Exploration of Sun Microsystems’ Open Systems Strategy,” Strategic Management Journal, 14(5), 351–369.CrossRefGoogle Scholar
  75. Gatignon, Hubert (2010), “Commentary on Jacob Goldenberg, Barak Libai and Eitan Muller ‘The Chilling Effects of Network Externalities’,” International Journal of Research in Marketing, 27(1), 16–17.CrossRefGoogle Scholar
  76. Gatignon, Hubert, Jehoshua Eliashberg, and Thomas S. Robertson (1989), “Modeling Multinational Diffusion Patterns: An Efficient Methodology,” Marketing Science, 8(3), 231–247.CrossRefGoogle Scholar
  77. Gatignon, Hubert, and Thomas S. Robertson (1985), “A Propositional Inventory for New Diffusion Research,” Journal of Consumer Research, 11(4), 849–867.CrossRefGoogle Scholar
  78. Gatignon, Hubert, and Thomas S. Robertson (1986), “An Exchange Theory Model of Interpersonal Communication,” in Richard J. Lutz (Ed.), Proceedings of the Association for Consumer Research Conference, Provo, UT: Association for Consumer Research, 534–538.Google Scholar
  79. Gatignon, Hubert, Barton A. Weitz, and Pradeep Bansal (1990), “Brand Introduction Strategies and Competitive Environments,” Journal of Marketing Research, 27(4), 390–401.CrossRefGoogle Scholar
  80. Ghose, Anindya, and Panagiotis G. Ipeirotis (2011), “Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics,” IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498–1512.CrossRefGoogle Scholar
  81. Godes, David, and Dina Mayzlin (2004), “Using Online Conversations to Study Word-of-Mouth Communication,” Marketing Science, 23(4), 545–560.CrossRefGoogle Scholar
  82. Godes, David, and Dina Mayzlin (2009), “Firm-Created Word-of-Mouth Communication: Evidence from a Field Test,” Marketing Science, 28(4), 721–739.CrossRefGoogle Scholar
  83. Goldenberg, Jacob, Sangman Han, Donald R. Lehmann, and Jae Weon Hong (2009), “The Role of Hubs in the Adoption Process,” Journal of Marketing, 73(2), 1–13.CrossRefGoogle Scholar
  84. Goldenberg, Jacob, Barak Libai, Sarit Moldovan, and Eitan Muller (2007), “The NPV of Bad News,” International Journal of Research in Marketing, 24, 186–200.CrossRefGoogle Scholar
  85. Goldenberg, Jacob, Barak Libai, and Eitan Muller (2002), “Riding the Saddle: How Cross-Market Communications Can Create a Major Slump in Sales,” Journal of Marketing, 66(2), 1–16.CrossRefGoogle Scholar
  86. Goldenberg, Jacob, Barak Libai, and Eitan Muller (2010), “The Chilling Effects of Network Externalities: Perspectives and Conclusions,” International Journal of Research in Marketing, 27(1), 22–24.CrossRefGoogle Scholar
  87. Goldenberg, Jacob, Oded Lowengart, and Daniel Shapira (2009), “Zooming In: Self-Emergence of Movements in New Product Growth,” Marketing Science, 28(2), 274–292.CrossRefGoogle Scholar
  88. Golder, Peter N., and Gerard J. Tellis (1993), “Pioneer Advantage: Marketing Logic or Marketing Legend?,” Journal of Marketing Research, 30(2), 158–170.CrossRefGoogle Scholar
  89. Golder, Peter N., and Gerard J. Tellis (1997), “Will It Ever Fly? Modeling the Takeoff of Really New Consumer Durables,” Marketing Science, 16(3), 256–270.CrossRefGoogle Scholar
  90. Granovetter, Mark S. (1973), “The Strength of Weak Ties,” American Journal of Sociology, 78(6), 1360–1380.CrossRefGoogle Scholar
  91. Gupta, Sachin, Dipak C. Jain, and Mohanbir S. Sawhney (1999), “Modeling the Evolution of Markets with Indirect Network Externalities: An Application to Digital Television,” Marketing Science, 18(3), 396–416.CrossRefGoogle Scholar
  92. Hahn, Jong-Hee (2003), “Nonlinear Pricing of Telecommunications with Call and Network Externalities,” International Journal of Industrial Organization, 21(7), 949–967.CrossRefGoogle Scholar
  93. Hardie, Bruce G. S., Peter S. Fader, and Michael Wisniewski (1998), “An Empirical Comparison of New Product Trial Forecasting Models,” Journal of Forecasting, 17(3–4), 209–229.CrossRefGoogle Scholar
  94. Hartman, Raymond S., and David J. Teece (1990), “Product Emulation Strategies in the Presence of Reputation Effects and Network Externalities: Some Evidence from the Minicomputer Industry,” Economics of Innovation and New Technology, 1(1), 157–182.CrossRefGoogle Scholar
  95. Hill, Charles W. L. (1997), “Establishing a Standard: Competitive Strategy and Technological Standards in Winner-Take-All Industries,” Academy of Management Executive, 11(2), 7–25.Google Scholar
  96. Hinz, Oliver, Bernd Skiera, Christian Barrot, and Jan U. Becker (2012), “Seeding Strategies for Viral Marketing: An Empirical Comparison,” Journal of Marketing, 75(6), 55–71.CrossRefGoogle Scholar
  97. Hirschman, Elizabeth C. (1981), “Technology and Symbolism as Sources for the Generation of Innovations,” in A. Mitchell (Ed.), Advances in Consumer Research, Vol. 9, St. Louis, MO: Association for Consumer Research, 537–541.Google Scholar
  98. Horsky, Dan, and Leonard S. Simon (1983), “Advertising and the Diffusion of New Products,” Marketing Science, 2(1), 1–17.CrossRefGoogle Scholar
  99. Islam, Towhidul, Denzil G. Fiebig, and Nigel Meade (2002), “Modelling Multinational Telecommunications Demand with Limited Data,” International Journal of Forecasting, 18(4), 605–624.CrossRefGoogle Scholar
  100. Iyengar, Raghuram, Christophe Van den Bulte, and Thomas W. Valente (2011a), “Opinion Leadership and Social Contagion in New Product Diffusion,” Marketing Science, 30(2), 195–212.CrossRefGoogle Scholar
  101. Iyengar, Raghuram, Christophe Van den Bulte, and Thomas W. Valente (2011b), “Rejoinder — Further Reflections on Studying Social Influence in New Product Diffusion,” Marketing Science, 30(2), 230–232.CrossRefGoogle Scholar
  102. Jones, J. Morgan, and Christopher J. Ritz (1991), “Incorporating Distribution into New Product Diffusion Models,” International Journal of Research in Marketing, 8(2), 91–112.CrossRefGoogle Scholar
  103. Kalyanaram, Gurumurthy, William T. Robinson, and Glen L. Urban (1995), “Order of Market Entry: Established Empirical Generalizations, Emerging Empirical Generalizations, and Future Research,” Marketing Science, 14(3, Part 2), G212–G221.CrossRefGoogle Scholar
  104. Kanouse, David E., and L. Reid Hanson, Jr. (1972), “Negativity in Evaluations,” in Edward E. Jones, David E. Kanouse, Harold H. Kelley, Richard E. Nisbett, Stuart Valins, and Bernard Weiner (Eds.), Attribution: Perceiving the Causes of Behavior, Morristown, NJ: General Learning Press.Google Scholar
  105. Katona, Zsolt, Peter P. Zubcsek, and Miklos Sarvary (2011), “Network Effects and Personal Influences: The Diffusion of an Online Social Network,” Journal of Marketing Research, 48(3), 425–443.CrossRefGoogle Scholar
  106. Katz, Michael L., and Carl Shapiro (1985), “Network Externalities, Competition, and Compatibility,” The American Economic Review, 75(3), 424–440.Google Scholar
  107. Katz, Michael L., and Carl Shapiro (1986a), “Product Compatibility Choice in a Market with Technological Progress,” Oxford Economic Papers, 38(3), 146–165.Google Scholar
  108. Katz, Michael L., and Carl Shapiro (1986b), “Technology Adoption in the Presence of Network Externalities,” Journal of Political Economy, 94(4), 822–841.CrossRefGoogle Scholar
  109. Katz, Michael L., and Carl Shapiro (1992), “Product Introduction with Network Externalities,” Journal of Industrial Economics, 40(1), 55–83.CrossRefGoogle Scholar
  110. Katz, Michael L., and Carl Shapiro (1994), “Systems Competition and Network Effects,” Journal of Economic Perspectives, 8(2), 93–115.CrossRefGoogle Scholar
  111. Koski, Heli, and Tobias Kretschmer (2004), “Survey on Competing in Network Industries: Firm Strategies, Market Outcomes, and Policy Implications,” Journal of Industry, Competition and Trade, 4(1), 5–31.CrossRefGoogle Scholar
  112. Kotabe, Masaaki, Arvind Sahay, and Preet S. Aulakh (1996), “Emerging Role of Technology Licensing in the Development of Global Product Strategy: Conceptual Framework and Research Propositions,” Journal of Marketing, 60(1), 73–88.CrossRefGoogle Scholar
  113. Krishnan, Trichy V., Frank M. Bass, and Dipak C. Jain (1999), “Optimal Pricing Strategy for New Products,” Management Science, 45(12), 1650–1663.CrossRefGoogle Scholar
  114. Krishnan, Trichy V., and Dipak C. Jain (2006), “Optimal Dynamic Advertising Policy for New Products,” Management Science, 52(12), 1957–1969.CrossRefGoogle Scholar
  115. Kristiansen, Eirik Gaard (1996), “R&D in Markets with Network Externalities,” International Journal of Industrial Organization, 14(6), 769–784.CrossRefGoogle Scholar
  116. Kristiansen, Eirik Gaard (1998), “R&D in the Presence of Network Externalities: Timing and Compatibility,” RAND Journal of Economics, 29(3), 531–547.CrossRefGoogle Scholar
  117. Kumar, V., J. Andrew Petersen, and Robert P. Leone (2007), “How Valuable Is Word of Mouth?,” Harvard Business Review, 85(10), 139–146.Google Scholar
  118. Kumar, V., J. Andrew Petersen, and Robert P. Leone (2010), “Driving Profitability by Encouraging Customer Referrals: Who, When, And,” Journal of Marketing, 74(5), 1–17.CrossRefGoogle Scholar
  119. Lawrence, Kenneth D., and William H. Lawton (1981), “Applications of Diffusion Models: Some Empirical Results,” in Y. Wind, V. Mahajan, and R. N. Cardozo (Eds.), New-Product Forecasting: Models and Applications, Lexington, MA: Lexington Books.Google Scholar
  120. Lee, Jonathan, Peter Boatwright, and Wagner A. Kamakura (2003), “A Bayesian Model for Prelaunch Sales Forecasting of Recorded Music,” Management Science, 49(2), 179–196.CrossRefGoogle Scholar
  121. Lee, Thomas Y., and Eric T. Bradlow (2007), “Automatic Construction of Conjoint Attributes and Levels from Online Customer Reviews,” University of Pennsyl vania, The Wharton School.Google Scholar
  122. Lee, Thomas Y., and Eric T. Bradlow (2011), “Automated Marketing Research Using Online Customer Reviews,” Journal of Marketing Research, 48(5), 881–894.CrossRefGoogle Scholar
  123. Lee, Yikuan, and Gina Colarelli O’Connor (2003), “New Product Launch Strategy for Network Effects Products,” Journal of the Academy of Marketing Science, 31(3), 241–255.CrossRefGoogle Scholar
  124. LeNagard-Assayag, Emmanuelle, and Delphine Manceau (2001), “Modeling the Impact of Product Preannouncements in the Context of Indirect Network Externalities,” International Journal of Research in Marketing, 18(3), 203–219.CrossRefGoogle Scholar
  125. Libai, Barak, Eitan Muller, and Renana Peres (2009), “The Diffusion of Services,” Journal of Marketing Research, 46(2), 163–175.CrossRefGoogle Scholar
  126. Lilien, Gary L., Ambar G. Rao, and Shlomo Kalish (1981), “Bayesian Estimation and Control of Detailing Effort in a Repeat Purchase Diffusion Environment,” Management Science, 27(5), 493–506.CrossRefGoogle Scholar
  127. Liu, Yong (2006), “Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue,” Journal of Marketing, 70(3), 74–89.CrossRefGoogle Scholar
  128. Loch, Christoph H., and Bernardo A. Huberman (1999), “A Punctuated-Equilibrium Model of Technology Diffusion,” Management Science, 45(2), 160–177.CrossRefGoogle Scholar
  129. Lu, Yingda, Kinshuk Jerath, and Param Vir Singh (2013), “The Emergence of Opinion Leaders in Online Review Communities,” Management Science, 59(8), 1783–1799.CrossRefGoogle Scholar
  130. Mahajan, Vijay, and Eitan Muller (1996), “Timing, Diffusion, and Substitution of Successive Generations of Technological Innovations: The IBM Mainframe Case,” Technological Forecasting and Social Change, 51(2), 109–132.CrossRefGoogle Scholar
  131. Mahajan, Vijay, Eitan Muller, and Frank M. Bass (1990), “New Product Diffusion Models in Marketing: A Review and Directions for Research,” Journal of Marketing, 54(1), 1–26.CrossRefGoogle Scholar
  132. Mahajan, Vijay, Eitan Muller, and Frank M. Bass (1993), “New-Product Diffusion Models,” in J. Eliashberg and G. L. Lilien (Eds.), Handbooks in OR & MS, Vol. 5, Elsevier Science Publishers, 349–408.Google Scholar
  133. Mahajan, Vijay, Eitan Muller, and Frank M. Bass (1995), “Diffusion of New Products: Empirical Generalizations and Managerial Uses,” Marketing Science, 14(3), G79–G88.CrossRefGoogle Scholar
  134. Mahajan, Vijay, Eitan Muller, and Yoram Wind (Eds.) (2000), New-Product Diffusion Models, Boston, MA: Kluwer Academic Publishers.Google Scholar
  135. Majumdar, Sumit K., and Sriram Venkataraman (1998), “Network Effects and the Adoption of New Technology: Evidence from the U.S. Telecommunications Industry,” Strategic Management Journal, 19(11), 1045–1062.CrossRefGoogle Scholar
  136. Manchanda, Puneet, Ying Xie, and Nara Youn (2008), “The Role of Targeted Communication and Contagion in Product Adoption,” Marketing Science, 27(6), 961–976.CrossRefGoogle Scholar
  137. Mangold, W. Glynn, Fred Miller, and Gary R. Brockway (1999), “Word-of-Mouth Communication in the Service Marketplace,” Journal of Services Marketing, 13(1), 73–89.CrossRefGoogle Scholar
  138. Mansfield, Edwin (1961), “Technical Change and the Rate of Imitation,” Econometrica, 29(4), 741–766.CrossRefGoogle Scholar
  139. Matutes, Carmen, and Pierre Regibeau (1988), “’Mix and Match’: Product Compatibility Without Network Externalities,” RAND Journal of Economics, 19(2), 221–234.CrossRefGoogle Scholar
  140. Matutes, Carmen, and Pierre Regibeau (1992), “Compatibility and Bundling of Complementary Goods in a Duopoly,” Journal of Industrial Economics, 40(1), 37–54.CrossRefGoogle Scholar
  141. Mayzlin, Dina (2006), “Promotional Chat on the Internet,” Marketing Science, 25(2), 155–163.CrossRefGoogle Scholar
  142. Mesak, Hani I. (1996), “Incorporating Price, Advertising and Distribution in Diffusion Models of Innovation: Some Theoretical and Empirical Results,” Computers Operations Research, 23(10), 1007–1023.CrossRefGoogle Scholar
  143. Midgley, David F., and Grahame R. Dowling (1978), “Innovativeness: The Concept and Its Measurement,” Journal of Consumer Research, 4(4), 229–242.CrossRefGoogle Scholar
  144. Mizerski, Richard W. (1982), “An Attribution Explanation of the Disproportionate Influence of Unfavorable Information,” Journal of Consumer Research, 9(3), 301–310.CrossRefGoogle Scholar
  145. Moe, Wendy W., and Michael Trusov (2011), “The Value of Social Dynamics in Online Product Ratings Forums,” Journal of Marketing Research, 48(3), 444–456.CrossRefGoogle Scholar
  146. Moon, Sangkil, Paul K. Bergey, and Dawn Iacobucci (2010), “Dynamic Effects among Movie Ratings, Movie Revenues, and Viewer Satisfaction,” Journal of Marketing, 74(1), 108–121.CrossRefGoogle Scholar
  147. Moore, Michael J., William Boulding, and Ronald C. Goodstein (1991), “Pioneering and Market Share: Is Entry Time Endogenous and Does It Matter?,” Journal of Marketing Research, 28(1), 97–105.CrossRefGoogle Scholar
  148. Nair, Harikesh, Pradeep Chintagunta, and Jean-Pierre Dube (2004), “Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants,” Quantitative Marketing and Economics, 2(1), 23–58.CrossRefGoogle Scholar
  149. Niederhoffer, Kate, Rob Mooth, David Wiesenfeld, and Jonathan Gordon (2007), “The Origin and Impact of CPG New-Product Buzz: Emerging Trends and Implications,” Journal of Advertising Research, 47(4), 420–426.CrossRefGoogle Scholar
  150. Norton, John A., and Frank M. Bass (1987), “A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products,” Management Science, 33(9), 1069–1086.CrossRefGoogle Scholar
  151. Norton, John A., and Frank M. Bass (1992), “Evolution of Technological Generations: The Law of Capture,” Sloan Management Review, 33(2), 66–77.Google Scholar
  152. Ohashi, Hiroshi (2003), “The Role of Network Effects in the US VCR Market, 1978–1986,” Journal of Economics & Management Strategy, 12(4), 447–494.CrossRefGoogle Scholar
  153. Oliver, Richard L. (1977), “Effect of Expectation and Disconfirmation on Postexposure Product Evaluations: An Alternative Interpretation,” Journal of Applied Psychology, 62(4), 480–486.CrossRefGoogle Scholar
  154. Padmanabhan, V., Surendra Rajiv, and Kannan Srinivasan (1997), “New Products, Upgrades, and New Releases: A Rationale for Sequential Product Introduction,” Journal of Marketing Research, 34(4), 456–472.CrossRefGoogle Scholar
  155. Park, Sangin (2004), “Quantitative Analysis of Network Externalities in Competing Technologies: The VCR Case,” Review of Economics and Statistics, 86(4), 937–945.CrossRefGoogle Scholar
  156. Parker, Philip M. (1992), “Price Elasticity Dynamics over the Adoption Life Cycle,” Journal of Marketing Research, 29(3), 358–367.CrossRefGoogle Scholar
  157. Parker, Philip, and Hubert Gatignon (1994), “Specifying Competitive Effects in Diffusion Models: An Empirical Analysis,” International Journal of Research in Marketing, 11, 17–39.CrossRefGoogle Scholar
  158. Parker, Philip M., and Hubert Gatignon (1996), “Order of Entry, Trial Diffusion, and Elasticity Dynamics: An Empirical Case,” Marketing Letters, 7(1), 95–109.CrossRefGoogle Scholar
  159. Peres, Renana, Eitan Muller, and Vijay Mahajan (2010), “Innovation Diffusion and New Product Growth Models: A Critical Review and Research Directions,” International Journal of Research in Marketing, 27(2), 91–106.CrossRefGoogle Scholar
  160. Peterson, R. A., and W. R. Wilson (1992), “Measuring Customer Satisfaction: Fact or Artifact,” Journal of the Academy of Marketing Science, 20(1), 61–71.CrossRefGoogle Scholar
  161. Pétreault, Clément (2011), “Souriez, vous êtes dupés!,” Le Point, September 1, 70–71.Google Scholar
  162. Postrel, Steven R. (1990), “Competing Networks and Proprietary Standards: The Case of Quadraphonic Sound,” Journal of Industrial Economics, 39(2), 169–185.CrossRefGoogle Scholar
  163. Reingen, Peter H., and Jerome B. Kernan (1986), “Analysis of Referral Networks in Marketing: Methods and Illustration,” Journal of Marketing Research, 23(1), 370–378.CrossRefGoogle Scholar
  164. Richins, Marsha L. (1983), “Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study,” Journal of Marketing, 47(1), 68–78.CrossRefGoogle Scholar
  165. Robertson, Thomas S. (1971), Innovative Behavior and Communication, New York, NY: Holt, Rinehart & Winston.Google Scholar
  166. Robinson, Bruce, and Chet Lakhani (1975), “Dynamic Price Models for New-Product Planning,” Management Science, 21(10), 1113–1122.CrossRefGoogle Scholar
  167. Robinson, William T., and Claes Fornell (1985), “Sources of Market Pioneer Advantages in Consumer Goods Industries,” Journal of Marketing Research, 22(3), 305–317.CrossRefGoogle Scholar
  168. Rohlfs, Jeffrey (2001), Bandwagon Effects in High-Technology Industries, Cambridge, MA: MIT Press.Google Scholar
  169. Rysman, Marc (2004), “Competition between Networks: A Study of the Market for Yellow Pages,” Review of Economic Studies, 71(2), 483–512.CrossRefGoogle Scholar
  170. Ryu, Gangseog, and Lawrence Feick (2007), “A Penny for Your Thoughts: Referral Reward Programs and Referral Likelihood,” Journal of Marketing, 71(1), 84–94.CrossRefGoogle Scholar
  171. Saloner, Garth, and Andrea Shepard (1995), “Adoption of Technologies with Network Effects: An Empirical Examination of the Adoption of Automated Teller Machines,” RAND Journal of Economics, 26(3), 479–501.CrossRefGoogle Scholar
  172. Schilling, Melissa A. (1999), “Winning the Standards Race: Building Installed Base and the Availability of Complementary Goods,” European Management Journal, 17(3), 265–274.CrossRefGoogle Scholar
  173. Schilling, Melissa A. (2002), “Technology Success and Failure in Winner-Take-All Markets: The Impact of Learning Orientation, Timing and Network Externalities,” Academy of Management Journal, 45(2), 387–398.CrossRefGoogle Scholar
  174. Schmitt, Philipp, Bernd Skiera, and Christophe Van den Bulte (2011), “Referral Programs and Customer Value,” Journal of Marketing, 75(1), 46–59.CrossRefGoogle Scholar
  175. Schreier, Martin, Stefan Oberhauser, and Reinhard Prügl (2007), “Lead Users and the Adoption and Diffusion of New Products: Insights from Two Extreme Sports Communities,” Marketing Letters, 18(1–2), 15–30.CrossRefGoogle Scholar
  176. Shankar, Venkatesh, and Barry L. Bayus (2003), “Network Effects and Competition: An Empirical Analysis of the Video Game Industry,” Strategic Management Journal, 24(4), 375–384.CrossRefGoogle Scholar
  177. Shapiro, Carl, and Hal R. Varian (1998), Information Rules: A Strategic Guide to the Network Economy, Boston: Harvard Business School Press.Google Scholar
  178. Sheremata, Willow A. (2004), “Competing through Innovation in Network Markets: Strategies for Challengers,” Academy of Management Review, 29(3), 359–377.Google Scholar
  179. Shurmer, Mark (1993), “An Investigation into Sources of Network Externalities in the Packaged PC Software Market,” Information Economics and Policy, 5(1), 231–251.CrossRefGoogle Scholar
  180. Shy, Oz (2001), The Economics of Network Industries, New York, NY: Cambridge University Press.CrossRefGoogle Scholar
  181. Simon, Herman, and Karl-Heinz Sebastian (1987), “Diffusion and Advertising: The German Telephone Campaign,” Management Science, 33(4), 451–466.CrossRefGoogle Scholar
  182. Soberman, David, and Hubert Gatignon (2005), “Research Issues at the Boundary of Competitive Dynamics and Market Evolution,” Marketing Science, 24(1), 165–174.CrossRefGoogle Scholar
  183. Song, Michael, Mark E. Parry, and Tomoko Kawakami (2009), “Incorporating Network Externalities into the Technology Acceptance Model,” Journal of Product Innovation Management, 26(3), 291–307.CrossRefGoogle Scholar
  184. Sood, Ashish, Gareth M. James, and Gerard J. Tellis (2009), “Functional Regression: A New Model for Predicting Market Penetration of New Products,” Marketing Science, 28(1), 36–51.CrossRefGoogle Scholar
  185. Srinivasan, Raji, Gary L. Lilien, and Arvind Rangaswamy (2004), “First In, First Out? The Effects of Network Externalities on Pioneer Survival,” Journal of Marketing, 68(1), 41–58.CrossRefGoogle Scholar
  186. Srivastava, Rajendra K., Vijay Mahajan, Sridhar N. Ramaswami, and Joseph Cherian (1985), “A Multi-Attribute Diffusion Model for Forecasting the Adoption of Investment Alternatives for Consumers,” Technological Forecasting and Social Change, 28(4), 325–333.CrossRefGoogle Scholar
  187. Stephen, Andrew T., and Olivier Toubia (2010), “Deriving Value from Social Commerce Networks,” Journal of Marketing Research, 47(2), 215–228.CrossRefGoogle Scholar
  188. Sternthal, Brian, Lynn W. Phillips, and Ruby Dholakia (1978), “The Persuasive Effect of Source Credibility: A Situational Analysis,” Public Opinion Quarterly, 42(Fall), 285–314.CrossRefGoogle Scholar
  189. Stoneman, P. (1981), “Intra-Firm Diffusion, Bayesian Learning and Profitability,” The Economic Journal, 91(June), 375–388.CrossRefGoogle Scholar
  190. Stremersch, Stefan, and Eitan Muller (2007), “Growth Acceleration across Technology Generations,” Report, Cambridge, MA: Marketing Science Institute.Google Scholar
  191. Stremersch, Stefan, Eitan Muller, and Renana Peres (2010), “Does New Product Growth Accelerate across Technology Generations?,” Marketing Letters, 21(2), 103–120.CrossRefGoogle Scholar
  192. Stremersch, Stefan, Gerard J. Tellis, Philip Hans Franses, and Jeroen L. G. Binken (2007), “Indirect Network Effects in New Product Growth,” Journal of Marketing, 71(3), 52–74.CrossRefGoogle Scholar
  193. Sultan, Fareena, John U. Farley, and Donald R. Lehmann (1990), “A Meta-Analysis of Applications of Diffusion Models,” Journal of Marketing Research, 27(1), 70–77.CrossRefGoogle Scholar
  194. Talukdar, Debabrata, K. Sudhir, and Andrew Ainslie (2002), “Investigating New Product Diffusion across Products and Countries,” Marketing Science, 21(1), 97–114.CrossRefGoogle Scholar
  195. Tang, Chuanyi, and Lin Guo (2015), “Digging for Gold with a Simple Tool: Validating Text Mining in Studying Electronic Word-of-Mouth (eWOM) Communication,” Marketing Letters, 26(1), 67–80.CrossRefGoogle Scholar
  196. Teng, J.-T., and G. L. Thompson (1983), “Oligopoly Models for Optimal Advertising When Production Costs Obey a Learning Curve,” Management Science, 29(9), 1087–1101.CrossRefGoogle Scholar
  197. Thum, Marcel (1994), “Network Externalities, Technological Progress, and the Competition of Market Contracts,” International Journal of Industrial Organization, 12(2), 269–289.CrossRefGoogle Scholar
  198. Tigert, Douglas, and Behrooz Farivar (1981), “The Bass New Product Growth Model: A Sensitivity Analysis for a High Technology Product,” Journal of Marketing, 45(4), 81–90.CrossRefGoogle Scholar
  199. Toubia, Olivier, Jacob Goldenberg, and Rosanna Garcia (2014), “Improving Penetration Forecasts Using Social Interactions Data,” Management Science, 60(12), 3049–3066.CrossRefGoogle Scholar
  200. Trajtenberg, Manuel, and Shlomo Yitzhaki (1989), “The Diffusion of Innovations: A Methodological Reappraisal,” Journal of Business and Economic Statistics, 7(1), 35–47.Google Scholar
  201. Trusov, Michael, Randolph E. Bucklin, and Koen Pauwels (2009), “Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site,” Journal of Marketing, 73(5), 90–102.CrossRefGoogle Scholar
  202. Tversky, Amos, and Daniel Kahneman (1991), “Loss Aversion in Riskless Choice: A Reference-Dependent Model,” The Quarterly Journal of Economics, 106(4), 1039–1061.CrossRefGoogle Scholar
  203. Urban, Glen L., Theresa Carter, Steven Gaskin, and Zofia Mucha (1986), “Market Share Rewards to Pioneering Brands: An Empirical Analysis and Strategic Implications,” Management Science, 32(6), 645–659.CrossRefGoogle Scholar
  204. Vakratsas, Demetrios, and Ceren Kolsarici (2008), “A Dual-Market Diffusion Model for a New Prescription Pharmaceutical,” International Journal of Research in Marketing, 25(4), 282–293.CrossRefGoogle Scholar
  205. Valente, Thomas W. (1995), Network Models of the Diffusion of Innovations, Cresskill, NJ: Hampton Press.Google Scholar
  206. Van den Bulte, Christophe (2002), “Want to Know How Diffusion Speed Varies across Countries and Products? Try Using a Bass Model,” PDMA Visions, 26(4), 12–15.Google Scholar
  207. Van den Bulte, Christophe, and Raghuram Iyengar (2011), “Tricked by Truncation: Spurious Duration Dependence and Social Contagion in Hazard Models,” Marketing Science, 30(2), 233–248.CrossRefGoogle Scholar
  208. Van den Bulte, Christophe, and Yogesh V. Joshi (2007), “New Product Diffusion with Influentials and Imitators,” Marketing Science, 26(3), 400–421.CrossRefGoogle Scholar
  209. Van den Bulte, Christophe, and Gary L. Lilien (1997), “Bias and Systematic Change in the Parameter Estimates of Macro-Level Diffusion Models,” Marketing Science, 16(4), 338–353.CrossRefGoogle Scholar
  210. Van den Bulte, Christophe, and Gary L. Lilien (2001), “Medical Innovation Revisited: Social Contagion versus Marketing Effort,” American Journal of Sociology, 106(5), 1409–1435.CrossRefGoogle Scholar
  211. Van den Bulte, Christophe, and Stefan Stremersch (2004), “Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test,” Marketing Science, 23(4), 530–544.CrossRefGoogle Scholar
  212. Venkatesan, Rajkumar, and V. Kumar (2004), “A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy,” Journal of Marketing, 68(4), 106–125.CrossRefGoogle Scholar
  213. Verlegh, Peeter W. J., Céline Verkerk, Mirjam A. Tuk, and Ale Smidts (2004), “Customers or Sellers? The Role of Persuasion Knowledge in Customer Referral,” Advances in Consumer Research, 31, 304–305.Google Scholar
  214. Villanueva, Julian, Shijin Yoo, and Dominique M. Hanssens (2008), “The Impact of Marketing-Induced versus Word-of-Mouth Customer Acquisition on Customer Equity Growth,” Journal of Marketing Research, 45(1), 48–59.CrossRefGoogle Scholar
  215. Viswanathan, Siva (2005), “Competing across Technology-Differentiated Channels: The Impact of Network Externalities and Switching Costs,” Management Science, 51(3), 483–496.CrossRefGoogle Scholar
  216. Wade, James (1995), “Dynamics of Organizational Communities and Technological Bandwagons: An Empirical Investigation of Community Evolution in the Microprocessor Market,” Strategic Management Journal, 16(6), 111–133.CrossRefGoogle Scholar
  217. Xie, Jinhong, and Marvin Sirbu (1995), “Competition and of Positive Compatibility in Demand the Presence Externalities,” Management Science, 41(5), 909–926.CrossRefGoogle Scholar
  218. Yang, Sha, Mantian Hu, Russell S. Winer, Henry Assael, and Xiaohong Chen (2012), “An Empirical Study of Word-of-Mouth Generation and Consumption,” Marketing Science, 31(6), 952–963.CrossRefGoogle Scholar

Copyright information

© Hubert Gatignon, David Gotteland and Christophe Haon 2016

Authors and Affiliations

  • Hubert Gatignon
    • 1
  • David Gotteland
    • 2
  • Christophe Haon
    • 2
  1. 1.INSEADSorbonne UniversitésFrance
  2. 2.Grenoble Ecole de ManagementFrance

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