Innovation Diffusion in Heterogeneous Populations

New products and practices take time to diffuse, a fact that is often attributed to some form of heterogeneity among potential adopters. People may realize different benefits and costs from the innovation, or have different beliefs about its benefits and costs, hear about it at different times, or delay in acting on their information. This paper analyzes the dynamics arising from different sources of heterogeneity in a completely general setting without placing parametric restrictions on the distribution of the relevant characteristics. The structure of the dynamics, especially the pattern of acceleration, depends importantly on which type of heterogeneity is driving the process. These differences are sufficiently marked that they provide a potential tool for discriminating empirically among diffusion mechanisms. The results have potential application to marketing, technological change, fads, and epidemics.

[1]  S. Wasserman,et al.  Models and Methods in Social Network Analysis , 2005 .

[2]  S. Kapur Technological Diffusion with Social Learning , 1995 .

[3]  A. Banerjee,et al.  A Simple Model of Herd Behavior , 1992 .

[4]  Alan Kirman,et al.  Ants, Rationality, and Recruitment , 1993 .

[5]  Anticipated Automation: A Rational Expectations Model of Technological Diffusion , 1984 .

[6]  Lones Smith,et al.  Pathological Outcomes of Observational Learning , 2000 .

[7]  M. Rosenzweig,et al.  Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture , 1995, Journal of Political Economy.

[8]  S. Lang Fundamentals of differential geometry , 1998 .

[9]  Bertil Olofsson A contribution to the theory of diffusion of sorbed substances into and out of fibres , 1954 .

[10]  E. Rogers,et al.  Diffusion of Innovations, 5th Edition , 2003 .

[11]  F. Bass The Relationship between Diffusion Rates, Experience Curves, and Demand Elasticities for Consumer Durable Technological Innovations , 1980 .

[12]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[13]  R. Jensen,et al.  Adoption and diffusion of an innovation of uncertain profitability , 1982 .

[14]  Drew Fudenberg,et al.  Word-of-mouth learning , 2004, Games Econ. Behav..

[15]  Luciano Rossoni,et al.  Models and methods in social network analysis , 2006 .

[16]  The Spread of Innovations Through Social Learning , 2005 .

[17]  Roland Soong,et al.  Threshold Models of Diversity: Chinese Restaurants, Residential Segregation, and the Spiral of Silence , 1988 .

[18]  T. Schelling Micromotives and Macrobehavior , 1978 .

[19]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[20]  Glenn Ellison,et al.  Word-of-Mouth Communication and Social Learning , 1995 .

[21]  Glenn Ellison,et al.  Rules of Thumb for Social Learning , 1993, Journal of Political Economy.

[22]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[23]  Phyllis Deane,et al.  Industrialization in Two Systems: Essays in Honor of Alexander Gerschenkron. , 1967 .

[24]  M. Degroot Optimal Statistical Decisions , 1970 .

[25]  Kaivan Munshi Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution , 2004 .

[26]  D. Watts,et al.  Social Influence, Binary Decisions and Collective Dynamics , 2008 .

[27]  P. Geroski Models of technology diffusion , 2000 .

[28]  Thomas W. Valente,et al.  Models and Methods in Social Network Analysis: Network Models and Methods for Studying the Diffusion of Innovations , 2005 .

[29]  E. Coddington,et al.  Theory of Ordinary Differential Equations , 1955 .

[30]  E. Mansfield TECHNICAL CHANGE AND THE RATE OF IMITATION , 1961 .

[31]  Susan H. Xu,et al.  Technology diffusion by learning from neighbours , 2004, Advances in Applied Probability.

[32]  S. Bikhchandani,et al.  You have printed the following article : A Theory of Fads , Fashion , Custom , and Cultural Change as Informational Cascades , 2007 .

[33]  Thomas W. Valente Network models of the diffusion of innovations , 1996, Comput. Math. Organ. Theory.

[34]  M. Macy Chains of Cooperation: Threshold Effects in Collective Action , 1991 .

[35]  Vijay Mahajan,et al.  A Nonuniform Influence Innovation Diffusion Model of New Product Acceptance , 1983 .

[36]  P. Stoneman,et al.  The Economics of Technological Diffusion , 2001 .

[37]  Mark S. Granovetter Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[38]  Z. Griliches HYBRID CORN: AN EXPLORATION IN THE ECONOMIC OF TECHNOLOGICAL CHANGE , 1957 .

[39]  W. Arthur,et al.  INCREASING RETURNS AND LOCK-IN BY HISTORICAL EVENTS , 1989 .

[40]  T. Valente Social network thresholds in the diffusion of innovations , 1996 .

[41]  Paul Stoneman,et al.  A flexible model of technological diffusion incorporating economic factors with an application to the spread of colour television ownership in the UK , 1992 .

[42]  Eitan Muller,et al.  A nonsymmetric responding logistic model for forecasting technological substitution , 1981 .

[43]  Robert A. Peterson,et al.  Models for innovation diffusion , 1985 .

[44]  R. Dixon,et al.  Hybrid Corn Revisited , 1980 .

[45]  Thomas C. Schelling,et al.  Dynamic models of segregation , 1971 .