The Visible Hand? Demand Effects of Recommendation Networks in Electronic Markets

Published Online:https://doi.org/10.1287/mnsc.1120.1536

References

  • Aaker DA. Brand Portfolio Strategy (2004) (Free Press, New York) Google Scholar
  • Aral S, Muchnik L, Sundararajan A. Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. Proc. Natl. Acad. Sci. USA (2009) 106(51):21544–21549CrossrefGoogle Scholar
  • Binken JLG, Stremersch S. The effect of superstar software on hardware sales in system markets. J. Marketing (2009) 73(2):88–104CrossrefGoogle Scholar
  • Bradlow E, Bronnenberg B, Russell G, Arora N, Bell D, Duvvuri S, Hofstede F, Sismeiro C, Thomadsen R, Yang S. Spatial models in marketing. Marketing Lett. (2005) 16(3):267–278CrossrefGoogle Scholar
  • Bramoulle Y, Djebbari H, Fortin B. Identification of peer effects through social networks. J. Econometrics (2008) 150(1):41–55CrossrefGoogle Scholar
  • Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. Comput. Networks ISDN Systems (1998) 30(1–7):107–117CrossrefGoogle Scholar
  • Brynjolfsson E, Hu YJ, Smith MD. Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Sci. (2003) 49(11):1580–1596LinkGoogle Scholar
  • Cai H, Chen Y, Fang H. Observational learning: Evidence from a randomized natural field experiment. Amer. Econom. Rev. (2009) 99(3):864–882CrossrefGoogle Scholar
  • Chen Y, Wang Q, Xie J. Online social interactions: A natural experiment on word of mouth versus observational learning. J. Market. Res. (2011) 48(2):238–254CrossrefGoogle Scholar
  • Chevalier JA, Mayzlin D. The effect of word of mouth on sales: Online book reviews. J. Marketing Res. (2006) 43(3):345–354CrossrefGoogle Scholar
  • Conley TG, Udry C. Learning about a new technology: Pineapples in Ghana. Amer. Econom. Rev. (2010) 100(1):35–69CrossrefGoogle Scholar
  • Dellarocas C, Katona Z, Rand WM. Media, aggregators, and the link economy: Strategic hyperlink formation in content networks. (2009) . Working Paper 10-13, NET Institute, New YorkGoogle Scholar
  • Edwards YD, Allenby GM. Multivariate analysis of multiple response data. J. Marketing Res. (2003) 40(3):321–334CrossrefGoogle Scholar
  • Foster AD, Rosenzweig MR. Learning by doing and learning from others: Human capital and technical change in agriculture. J. Political Econom. (1995) 103(6):1176–1209CrossrefGoogle Scholar
  • Ghose A, Han S. An empirical analysis of user content generation and usage behavior on the mobile Internet. Management Sci. (2011) 57(9):1671–1691LinkGoogle Scholar
  • Ghose A, Smith MD, Telang R. Internet exchanges for used books: An empirical analysis of product cannibalization and welfare impact. Inform. Systems Res. (2006) 17(1):3–19LinkGoogle Scholar
  • Godes D, Mayzlin D. Using online conversations to study word-of-mouth communication. Marketing Sci. (2004) 23(4):545–560LinkGoogle Scholar
  • Goldenberg J, Oestreicher-Singer G, Reichman S. The quest for content: The integration of product networks and social networks in online content exploration. J. Marketing Res. (2012) . ForthcomingGoogle Scholar
  • Goolsbee A, Chevalier JA. Measuring prices and price competition online: Amazon and Barnes and Noble. Quant. Marketing Econom. (2003) 1(2):203–222CrossrefGoogle Scholar
  • Hansen LP. Large sample properties of generalised method of moments estimators. Econometrica (1982) 50(4):1029–1054CrossrefGoogle Scholar
  • Hess JD, Gerstner E. Loss leader pricing and rain check policy. Marketing Sci. (1987) 6(4):358–374LinkGoogle Scholar
  • Jackson MO. Networks and economic behavior. Annual Rev. Econom. (2009) 1:489–511CrossrefGoogle Scholar
  • Kempe D. Structure and dynamics of information in networks. (2011) . Lecture notes, University of Southern California, Los Angeles. Accessed June 6, 2012, http://www-bcf.usc.edu/~dkempe/teaching/structure-dynamics.pdfGoogle Scholar
  • Koenker R, Hallock KF. Quantile regressions. J. Econom. Perspectives (2001) 15(4):143–156CrossrefGoogle Scholar
  • Lee LF. Identification and estimation of econometric models with group interactions, contextual factors and fixed effects. J. Econometrics (2007) 140(2):333–374CrossrefGoogle Scholar
  • Li S, Sun B, Wilcox RT. Cross-selling sequentially ordered products: An application to consumer banking services. J. Marketing Res. (2005) 42(2):233–239CrossrefGoogle Scholar
  • Libai B, Muller E, Peres R. The role of seeding in multi-market entry. Internat. J. Res. Marketing (2005) 22(4):375–393CrossrefGoogle Scholar
  • Libai B, Muller E, Peres R. The role of within-brand and cross-brand communications in competitive growth. J. Marketing (2009) 73(3):19–34CrossrefGoogle Scholar
  • Manchanda P, Ansari A, Gupta S. The “shopping basket”: A model for multicategory purchase incidence decision. Marketing Sci. (1999) 18(2):95–114LinkGoogle Scholar
  • Manchanda P, Rossi P, Chintagunta P. Response modeling with nonrandom marketing-mix variables. J. Marketing Res. (2004) 41(4):467–478CrossrefGoogle Scholar
  • Manski C. Identification of endogenous social effects: The reflection problem. Rev. Econom. Stud. (1993) 60(3):531–542CrossrefGoogle Scholar
  • Mayzlin D, Yoganarasimhan H. Link to success: How blogs build an audience by promoting rivals. Management Sci. (2012) 58(9):1651–1668LinkGoogle Scholar
  • Moretti E. Social learning and peer effects in consumption: Evidence from movie sales. Rev. Econom. Stud. (2011) 78(1):356–393CrossrefGoogle Scholar
  • Newman MEJ. The structure and function of complex networks. SIAM Rev. (2003) 45(2):167–256CrossrefGoogle Scholar
  • Newman MEJ, Barabasi AL, Watts DJ. The Structure and Dynamics of Networks (2006) (Princeton University Press, Princeton, NJ) Google Scholar
  • Niraj R, Padmanabhan V, Seetharaman PB. A cross-category model of households’ incidence and quantity decisions. Marketing Sci. (2008) 27(2):225–235LinkGoogle Scholar
  • Oestreicher-Singer G, Sundararajan A. Influence in social networks: An identification result. (2012a) . Working Paper EC12-01, Stern School of Business, New York University, New YorkGoogle Scholar
  • Oestreicher-Singer G, Sundararajan A. Recommendation networks and the long tail of electronic commerce. MIS Quart. (2012b) 36(1):65–83CrossrefGoogle Scholar
  • Salganik MJ, Dodds PS, Watts DJ. Experimental study of inequality and unpredictability in an artificial cultural market. Science (2006) 311(5762):854–856CrossrefGoogle Scholar
  • Seetharaman PB, Chib S, Ainslie A, Boatwright P, Chan T, Gupta S, Mehta N, Rao V, Strijnev A. Models of multi-category choice behavior. Marketing Lett. (2005) 16(3):239–254CrossrefGoogle Scholar
  • Shocker AD, Bayus BL, Kim N. Product complements and substitutes in the real world: The relevance of “other products”. J. Marketing (2004) 68(1):28–40CrossrefGoogle Scholar
  • Sriram S, Chintagunta PK, Agarwal MK. Investigating consumer purchase behavior in related technology product categories. Marketing Sci. (2010) 29(2):291–314LinkGoogle Scholar
  • Stephen A, Toubia O. Deriving value from social commerce networks. J. Marketing Res. (2010) 7(2):215–228CrossrefGoogle Scholar
  • Stock JH, Yogo M, Andrews DW, Stock JH. Testing for weak instruments in linear IV regression. Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg (2005) (Cambridge University Press, New York) 80–108CrossrefGoogle Scholar
  • Sun M. How does variance of product ratings matter? Management Sci. (2012) 58(4):696–707LinkGoogle Scholar
  • Sundararajan A. Local network effects and complex network structure. B.E. J. Theoret. Econom. (2008) 7(1). Article 46Google Scholar
  • Susarla A, Oh JH, Tan Y. Social networks and the diffusion of user-generated content: Evidence from YouTube. Inform. Systems Res. (2012) 23(1):23–41LinkGoogle Scholar
  • Trusov M, Bucklin RE, Pauwels K. Effects of word-of-mouth versus traditional marketing: Findings from an Internet social networking site. J. Marketing (2009) 73(5):90–102CrossrefGoogle Scholar
  • Tucker C, Zhang J. How does popularity information affect choices? A field experiment. Management Sci. (2011) 57(5):828–842LinkGoogle Scholar
  • Wedel M, Zhang J. Analyzing brand competition across subcategories. J. Marketing Res. (2004) 41(4):448–456CrossrefGoogle Scholar
  • Yang S, Allenby GM. Modeling interdependent consumer preferences. J. Marketing Res. (2003) 40(3):282–294CrossrefGoogle Scholar
  • Zhang J. The sound of silence: Observational learning in the U.S. kidney market. Marketing Sci. (2010) 29(2):315–335LinkGoogle Scholar
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