Go to the content. | Move to the navigation | Go to the site search | Go to the menu | Contacts | Accessibility

| Create Account

Guidolin, Mariangela (2007) Aggregate and agent-based models for the diffusion of innovation. [Ph.D. thesis]

Full text disponibile come:

PDF Document
PDF Document
PDF Document
PDF Document
PDF Document
PDF Document
PDF Document

Abstract (english)

Review of innovation diffusion models, with particular attention to the most famous and employed one, the Bass model. This review is necessary for introducing the research path proposed along the thesis.

Abstract (italian)


Statistiche Download - Aggiungi a RefWorks
EPrint type:Ph.D. thesis
Tutor:Guseo, Renato
Supervisor:Grandinetti, Roberto
Ph.D. course:Ciclo 20 > Scuole per il 20simo ciclo > ECONOMIA E MANAGEMENT
Data di deposito della tesi:2007
Anno di Pubblicazione:2007
Key Words:Review
Settori scientifico-disciplinari MIUR:Area 13 - Scienze economiche e statistiche > SECS-P/08 Economia e gestione delle imprese
Struttura di riferimento:Dipartimenti > Dipartimento di Scienze Economiche e Aziendali "Marco Fanno"
Codice ID:161
Depositato il:25 Sep 2008
Simple Metadata
Full Metadata
EndNote Format


I riferimenti della bibliografia possono essere cercati con Cerca la citazione di AIRE, copiando il titolo dell'articolo (o del libro) e la rivista (se presente) nei campi appositi di "Cerca la Citazione di AIRE".
Le url contenute in alcuni riferimenti sono raggiungibili cliccando sul link alla fine della citazione (Vai!) e tramite Google (Ricerca con Google). Il risultato dipende dalla formattazione della citazione.

1. Allen, D. (1988). New telecommunications services: Network externalities and critical mass, Telecommunications Policy, 12 (3), 257-271. Cerca con Google

2. Axelrod, R. (1984). The Evolution of Cooperation, Basic Books, New York. Cerca con Google

3. Bandura, A. (1971). Principles of Behavior Modification, Holt, Rinehart and Winston, New York. Cerca con Google

4. Barabasi, A.L. (2004). Link, La scienza delle reti (ed. italiana), Giulio Einaudi editore, Torino. Cerca con Google

5. Bass, F.M. (1969). A new product growth model for consumer durables, Management Science, 15, 215-227. Cerca con Google

6. Bass, F.M. (1980). The Relationship Between Diffusion Rates, Experience Curves and Demand Elasticities for Consumer Durables Technical Innovations, Journal of Business, 53, 51-67. Cerca con Google

7. Bass, P., Bass, F.M. (2001). Diffusion of technology generations: a model of adoption and repeat sales, Working Paper. Cerca con Google

8. Bass, P., Bass, F.M. (2004). IT waves: two completed generational diffusion models, Working Paper. Cerca con Google

9. Bass, F.M., Jain, D.C., Krishnan, T.V. (2000). Modeling the marketing-mix in newproduct diffusion, in Mahajan, V., Muller, E., Wind, Y. eds. New Product Diffusion Models, Kluwer Academic Publishers, New York. Cerca con Google

10. Bass, F.M., Krishnan, T.V., Jain, D.C. (1994). Why the Bass model fits without decision variables, Marketing Science, 13, 203-223. Cerca con Google

11. Berry, L.L., Parasuraman, A. (1991). Marketing Services. Free Press, New York. Boccara, N. (2004). Modeling Complex Systems, Springer-Verlag, New York. Cerca con Google

12. Boccara, N., Fuks, H. (1999). Modeling the diffusion of innovations with probabilistic cellular automata, in Delorme, M., Mazoyer J. eds. Cellular Automata: A Parallel Model, Kluwer, Dordrecht. Cerca con Google

13. Box, G.E.P, Jenkins, G. (1976). Time Series Analysis: Forecasting and Control, Prentice Hall, New Jersey. Cerca con Google

14. Centrone, F., Goia, A., Salinelli, E. (2007). Demographic Processes in a Model of Innovation Diffusion with a Dynamic Market, Technological Forecasting and Social Change, 74 (3), 247-266. Cerca con Google

15. Chandrasekaran, D., Tellis, G.J. (2006). A critical review of marketing research on diffusion of new products, Review of Marketing Research, 3, 39-80. Cerca con Google

16. Chatterjee, R., Eliashberg, J. (1989). The innovation diffusion process in a heterogeneous population: A micromodeling approach, Management Science, 36, 1057- 1079. Cerca con Google

17. Cohen, W. M., Levinthal, D.A. (1990). Absorptive Capacity: A new Perspective on Learning and Innovation, Administrative Science Quarterly, 35, 1057-79. Cerca con Google

18. Coleman, J., Katz, E., Menzel, H. (1966). Medical Innovation: A diffusion Study, Bobbs-Merrill, Indianapolis, IA. Cerca con Google

19. Desiraju, R., Nair, H., Chintagunta, P. (2004). Diffusion of new pharmaceutical drugs in developing and developed nations, International Journal of Research in Marketing, 21 (4), 341-357. Cerca con Google

20. Devezas, T. (2005). Evolutionary theory of technological change: State-of-the-art and new approaches, Technological Forecasting and Social Change, 72, 1137-1152. Cerca con Google

21. Easingwood, C., Mahajan V., Muller, E. (1983). A Non-Uniform Influence Innovation Diffusion Model of New Product Acceptance, Marketing Science, 2, 273-295. Cerca con Google

22. Economides, N., Himmelberg, C. (1995). Critical Mass and Network Size with Application to the US FAX market, Mimeo, Stern School of Business, New York University, EC-95-11. Cerca con Google

23. Feder, G., O'Mara G.T. (1982). On Information and Innovation Diffusion: A Bayesian Approach, American Journal of Agricultural Economics, 64 (1),145-147. Cerca con Google

24. Fisher, J.C., Pry, R.H. (1971). Simple substitution model of technological change, Technological Forecasting and Social Change, 3, 75-88. Cerca con Google

25. Foster, J. (2005). From simplistic to complex systems in economics, Cambridge Journal of Economics, 29, 873-892. Cerca con Google

26. Foster J., Potts J. (2006). Complexity, networks and the importance of demand, in Mc Kelvey M., Holman F. eds., Flexibility and stability in the innovating economy, Oxford University Press, Oxford. Cerca con Google

27. Fourt, J., Woodlock, J. W. (1960). Early Prediction of Market Success for New Grocery Products, Journal of Marketing, 25, 31-38. Cerca con Google

28. Fundenberg, D., Tirole, J. (2000). Pricing a network good to deter entry, Journal of Industrial Economics, 68 (4), 373-390. Cerca con Google

29. Ganguly N., Sikdar B.K., Deutsch A., Canright G., Chaudhuri P. (2003). A Survey on cellular automata, Technical Report, Centre for High Performance Computing, Dresden University of Technology, 1-30. Cerca con Google

30. Garber, T., Goldenberg J., Libai, B., Muller, E. (2004). From density to destiny: using spatial dimension of sales data for early prediction of new product success, Marketing Science, 23 (3), 419-428. Cerca con Google

31. Gilbert N., Troitzsch K.G. (1999). Simulation for the Social Scientist, Open University Press, Buckingam. Cerca con Google

32. Goldenberg, J., Efroni S. (2001). Using cellular automata for modeling the emergence of innovations, Technological Forecasting and Social Change, 68, 293-308. Cerca con Google

33. Goldenberg J., Libai B., Muller E. (2001a). Using Complex System Analysis to Advance Marketing Theory Development: Modeling Heterogeneity Effects on New Product Growth through Stochastic Cellular Automata, Academy of Marketing Science Review, (online) (9), special issue on Emergent and Co-evolutionary Processes in Marketing. Cerca con Google

34. Goldenberg, J., Libai, B., Muller, E. (2001b). Talk of the network: a complex system look at the underlying process of word of mouth, Marketing Letters, 12 (3), 211-223. Cerca con Google

35. Goldenberg, J., Libai, B., Muller, E. (2002). Riding the saddle: how cross-market communications can create a major slump in sales, Journal of Marketing, 66 (2), 1-16. Cerca con Google

36. Goldenberg, J., Libai, B., Muller, E. (2005). The Chilling Effect of Network Externalities on New Product Growth, Working Paper, Tel Aviv University. Cerca con Google

37. Golder, P.N., Tellis, G.J. (1997). Will it ever fly? Modeling the takeoff of really new consumer durables, Marketing Science, 16, 256-270. Cerca con Google

38. Golder, P.N., Tellis, G.J. (2004). Growing, growing, gone: cascades, diffusion and turning points in the product life cycle, Marketing Science, 23, 207-218. Cerca con Google

39. Granovetter, M. (1973). The Strenght of Weak Ties, The American Journal of Sociology, 78 (6), 1360-1380. Cerca con Google

40. Granovetter, M. (1978). Threshold Models of Collective Behavior, The American Journal of Sociology, 83, 6,1420-1443. Cerca con Google

41. Groenroos, C. (2004). The relationship marketing process: communication, interaction, dialogue, value, Journal of Business & Industrial Marketing, 19 (2), 99-113. Cerca con Google

42. Guidolin, M., Mortarino, C. (2007). Cross-country diffusion of photovoltaic systems: modelling choices and forecasts for national adoption patterns, Working Paper Series, n.18/2007, Department of Statistical Sciences, University of Padua. Cerca con Google

43. Guseo, R. (2004). Interventi Strategici e Aspetti Competitivi nel ciclo di vita di innovazioni. Working Paper Series 11/2004, Department of Statistical Sciences, University of Padua. Cerca con Google

44. Guseo, R., Dalla Valle, A. (2005). Oil and Gas Depletion: Diffusion Models and Forecasting under Strategic Intervention, Statistical Methods and Applications, 14 (3), 375-387. Cerca con Google

45. Guseo, R., Dalla Valle, A., Guidolin, M. (2007). World Oil Depletion Models: Price Effects Compared with Strategic or Technological Interventions, Technological Forecasting and Social Change, 74 (4), 452-469. Cerca con Google

46. Guseo, R., Guidolin, M. (2007a), Cellular Automata and Riccati Equation Models for Diffusion of Innovations, Statistical Methods and Applications, (in press). Cerca con Google

47. Guseo, R., Guidolin, M. (2007b). Modelling a Dynamic Market Potential: A class of Automata Networks for Diffusion of Innovations driven by Riccati Equations, (submitted). Cerca con Google

48. Hagerstrand, T. (1953). Innovation Diffusion as a Spatial Process, University of Chicago Press, Chicago. Cerca con Google

49. Hauser J., Tellis G.J., Griffin A. (2006). Research on Innovation: A Review and Agenda for Marketing Science, Marketing Science, 25, 687-917. Cerca con Google

50. Hayek, F. (1948). Individualism and Economic Order, University of Chicago Press, Chicago. Cerca con Google

51. Hiebert, L.D. (1974). Risk, Learning, and the Adoption of Fertilizer Responsive Seed Varieties, American Journal of Agricultural Economics, 56 (4), 764-768. Cerca con Google

52. Hill, S., Provost, F., Volinsky, C. (2006). Network-based Marketing: Identifying Likely Adopters via Consumer Networks, Statistical Science, 22 (2), 256-276. Cerca con Google

53. Hogan, J.E., Lemon, K.N., Libai, B. (2003). What is the real value of a lost customer? Journal of Service Research, 5 (3), 196-208. Cerca con Google

54. Holland, J. (1992). Adaptation in Natural and Artificial Systems: an Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, MIT Press/Bradford Books, Cambridge, MA. Cerca con Google

55. Horsky, D. (1990). A Diffusion Model Incorporating Product Benefits, Price, Income and Information, Marketing Science, 9, 342-385. Cerca con Google

56. Horsky, D., Simon, L.S. (1983). Advertising and the Diffusion of New Products, Marketing Science, 2, 1-17. Cerca con Google

57. Hubbert, M.K. (1949). Energy from fossil fuels, Science, 4, 103-109. Cerca con Google

58. Jiang, Z., Bass, F.M., Bass, P.I. (2006). The virtual Bass model and the left-hand truncation bias in diffusion of innovation studies, International Journal of Research in Marketing, 23 (1), 93-106. Cerca con Google

59. Jain, D.C., Rao, R.C. (1990). Effect of Price on the Demand for Durables: Modeling, Estimation and Findings, Journal of Business Economics and Statistics, 8 (2), 163-170. Cerca con Google

60. Jensen, R. (1982). Adoption and Diffusion of an Innovation of Uncertain Profitability, Journal of Economic Theory, 27, 182-193. Cerca con Google

61. Jurvetson, S. (2000). What exactly is viral marketing?, Red Herring, 78, 110-112. Cerca con Google

62. Kalish, S. (1985). A New-Product Adoption Model with Price, Advertising and Uncertainty, Management Science, 31, 1569-1585. Cerca con Google

63. Kalish, S., Mahajan, V., Muller, E. (1995). Waterfall and sprinkler new-product strategies in competitive global markets, International Journal of Research in Marketing, 12 (2), 105-119. Cerca con Google

64. Kamakura, W., Balasubramanian, S. (1988). Long-Term View of the Diffusion of Durables: A study of the Role of Price and Adoption Influence Processes via Tests of Nested Models, International Journal of Research in Marketing, 5, 1-13. Cerca con Google

65. Katz, E., Lazarsfeld, P. (1995). Personal Influence-The part played by people in the flow of mass communication, The Free Press, Glencoe, Il.. Cerca con Google

66. Katz, M.L., Shapiro, C. (1985). Network Externalities, Competition, and Compatibility, The American Economic Review, 75 (3), 424-440. Cerca con Google

67. Kohli, R., Lehmann, D.R., Pae, J. (1999). Extent and impact of incubation time in new product diffusion, Journal of Product Innovation Management, 16, 134-144. Cerca con Google

68. Krishnan, T.V., Bass, F.M., Kumar, V. (2000). The impact of late entrant on the diffusion of a new product/service, Journal of Marketing Research, 37 (2), 269-278. Cerca con Google

69. Libai, B., Muller, E., Peres, R. (2006). The diffusion of services, Working Paper, Tel Aviv University. Cerca con Google

70. Lilien, G.L., Rangaswamy A., Van den Bulte, C. (2000). Diffusion models: managerial applications and software, in Mahajan, V., Muller, E., Wind, Y. eds. New Product Diffusion Models, Kluwer Academic Publishers, New York. Cerca con Google

71. Lilien, G.L., Rao, A.G., Kalish, S. (1981). Bayesian Estimation and Control of Detailing Effort in a Repeat Purchase Diffusion Environment, Management Science, 27(5), 493- 506. Cerca con Google

72. Mahajan, V., Mason, C.H., Srinivasan, V. (1985). An Evaluation of Estimation Procedures for New Product Diffusion Models, Graduate School of Business, Stanford University. Cerca con Google

73. Mahajan, V., Muller E. (1979). Innovation Diffusion and New-Product Growth in Marketing, Journal of Marketing, 43, 55-68. Cerca con Google

74. Mahajan, V., Muller, E. (1996). Timing, diffusion, and substitution of successive generations of technological innovations: the IBM mainframe case, Technological Forecasting and Social Change, 51, 109-132. Cerca con Google

75. Mahajan, V., Muller, E., Bass, F.M. (1990). New Product Diffusion Models in Marketing: A review and Directions for Research, Journal of Marketing, 54, 1-26. Cerca con Google

76. Mahajan, V., Muller, E., Bass, F.M. (1995). Diffusion of New Products: Empirical Generalizations and Managerial Uses, Marketing Science, 14 (3), 79-88, Special Issue on Empirical Generalizations in Marketing. Cerca con Google

77. Mahajan, V., Muller, E., Kerin, R.A. (1984). Introduction Strategy for New Products with Positive and Negative Word-of-Mouth, Management Science, 30 (12), 1389-1404. Cerca con Google

78. Mahajan, V., Muller, E., Wind, Y. (2000). New Product Diffusion Models, Kluwer Academic, New York. Cerca con Google

79. Mahajan, V., Peterson, R.A. (1978). Innovation Diffusion in a Dynamic Potential Adopter Population, Management Science, 24 (15), 1589-1597. Cerca con Google

80. Mahajan, V., Peterson, R.A. (1985). Models for Innovation Diffusion, Sage publications Inc., Beverly Hills, CA. Cerca con Google

81. Mahajan, V., Wind, Y. (1986). Innovation Diffusion Models of New Product Acceptance, Ballinger Publishing, Cambridge. Cerca con Google

82. Mahler, A., Rogers, E.M. (1999). The diffusion of interactive communication innovations and the critical mass: the adoption of telecommunications services by German banks, Telecommunications Policy, 23, 719-740. Cerca con Google

83. Mansfield, E. (1961). Technical Change and the Rate of Imitation, Econometrica, 29, 741-766. Cerca con Google

84. Marchetti, C. (1980). Society as a learning system: discovery, invention and innovation cycles revisited, Technological Forecasting and Social Change, 18, 257-282. Cerca con Google

85. Maynard Smith, J. (1974). Models in ecology, Cambridge University Press, Cambridge. Cerca con Google

86. Meade, N., Islam, T. (1998). Technological Forecasting—Model Selection, Model Stability and Combining Models, Management Science, 44 (8), 1115-1130. Cerca con Google

87. Meade, N., Islam, T. (2001). Forecasting the diffusion of innovations, in J.S. Armstrong ed., Principles of forecasting, Kluwer Academic Publishers, Boston. Cerca con Google

88. Meade N., Islam T. (2006). Modelling and forecasting the diffusion of innovation- a 25- year review, International Journal of Forecasting, 22, 519-545. Cerca con Google

89. Mesak, H.I., Darat, A.F. (2002). Optimal pricing of new subscriber services under interdependent adoption processes, Journal of Service Research, 5 (3), 140-153. Cerca con Google

90. Metcalfe, S., (2005). Ed Mansfield and the Diffusion of Innovation: an Evolutionary Connection, Journal of Technology Transfer, 30, 171-181. Cerca con Google

91. Modis, T. (1992). Predictions: Society’s Telltale Signature Reveals the Past and Forecasts the Future, Simon and Scuster, New York. Cerca con Google

92. Moldovan, S., Goldenberg, J. (2003). Cellular Automata modeling of resistance to innovations: Effects and solutions, Technological Forecasting and Social Change, 71, 425-42. Cerca con Google

93. Montgomery, A.L. (2001). Applying quantitative marketing techniques to the Internet, Interfaces, 31, 90 -108. Cerca con Google

94. Moore, G.A. (1991). Crossing the Chasm: Marketing and Selling Technology Products to Mainstream Customers, Harper Collins, New York. Cerca con Google

95. Muller, E., Peres, R., Mahajan, V. (2007). Innovation Diffusion and New Product Growth: Beyond a Theory of Communications, Working Paper. Cerca con Google

96. Nelson, R. (1995). Recent evolutionary theorizing about economic change, Journal of Economic Literature, 33, 48-90. Cerca con Google

97. Norton, J.A., Bass, F.M. (1987). A diffusion theory model of adoption and substitution for successive generations of high-technology products, Management Science, 33, 1069-1086. Cerca con Google

98. Norton, J.A., Bass, F.M. (1992). The evolution of technological generations: the law of capture, Sloan Management Review, 33 (2), 66-77. Cerca con Google

99. Oren, S.S., Schwartz, R.G. (1988). Diffusion of new products in risk-sensitive markets, Journal of Forecasting, 7 (4), 273-287. Cerca con Google

100. Parker, P. (1992). Price Elasticity Dynamics Over the Adoption Life Cycle, Journal of Marketing Research, 29, 358-367. Cerca con Google

101. Parker, P. (1993). Choosing among diffusion models: some empirical evidence, Marketing Letters, 4 (1), 81-94. Cerca con Google

102. Pearl, R. (1925). The biology of Population Growth, Alfred A. Knopf, New York. Cerca con Google

103. Potts, J. (2001). Knowledge and markets, Journal of Evolutionary Economics, 11, 413- 431. Cerca con Google

104. Putsis, W. P., Srinivasan, V. (2000). Estimation techniques for macro diffusion models. New Product Diffusion Models. Mahajan, V., Muller, E., Wind, Y., eds. Kluwer Academic Publishers, New York. Cerca con Google

105. PVPS (2007). Trends in photovoltaic applications- Survey report of selected IEA countries between 1992 and 2006, Report IEA-PVPS T1-16: 2007. Cerca con Google

106. Redmond, W. (1994). Diffusion at Sub-National Levels: A Regional Analysis of New Product Growth, Journal of Product Innovation Management, 11, 201-212. Cerca con Google

107. Robinson, B., Lakhani, C. (1975). Dynamic Price Models for New Product Planning, Management Science, 21, 1113-1122. Cerca con Google

108. Roberts, J.H., Lattin J.M. (2000). Disaggregate-Level Diffusion Models, in Mahajan, V., Muller, E., Wind, Y. eds. New Product Diffusion Models, Kluwer Academic Publishers, New York. Cerca con Google

109. Roberts, J.H., Urban, G.L. (1988). Modelling Multiattribute Utility, Risk, and Belief Dynamics for New Consumer Durable Brand Choice, Management Science, 34 (2), 167-185. Cerca con Google

110. Rogers, E.M. (2003). The diffusion of Innovations, 5th ed., The Free Press, New York. Cerca con Google

111. Rohlfs, J.H. (2001). Bandwagon Effects in High-technology industries, Cambridge, MA, MIT Press. Cerca con Google

112. Schelling, T. (1978). Micromotives and Macrobehaviour, W.W. Norton and Company, New York. Cerca con Google

113. Seber, G.A.F., Wild, C.J. (1989). Nonlinear Regression, Wiley, New York. Cerca con Google

114. Shaikh, N.I., Rangaswamy A., Balakrishnan A. (2005). Modelling the diffusion of innovations using small-world networks, Working paper, Penn State University. Cerca con Google

115. Shapiro, C., Varian, H.R. (1999). Information Rules, HBS Press, Cambridge. Sharif, M.N., Kabir, C. (1976). A generalized model for forecasting technological substitution, Technological Forecasting and Social Change, 8 (4), 353-364. Cerca con Google

116. Sharif, M., Ramanathan, K. (1981). Binomial Innovation Diffusion Models with Dynamic Potential Adopter Population, Technological Forecasting and Social Change, 20, 63-87. Cerca con Google

117. Simon, H., Sebastian, K.H. (1987). Diffusion and Advertising: The German Telephone Campaign, Management Science, 33, 451-466. Cerca con Google

118. Smith, A. (1937). An inquiry into the Nature and Causes of the Wealth of Nations, Cannan Edition, American Modern Library Series, New York. Cerca con Google

119. Srinivasan, V., Mason, C.H. (1986). Non-linear least squares estimation on new product diffusion models, Marketing Science, 5 (2), 169-178. Cerca con Google

120. Srinivasan, V., Lilien, G., Rangaswamy, A. (2004). First in, First out? The Effects of Network Externalities on Pioneer Survival, Journal of Marketing, 68, 41-58. Cerca con Google

121. Stoneman, P. (1981). Intra-Firm Diffusion, Bayesian Learning and Profitability, The Economic Journal, 91 (362), 375-388. Cerca con Google

122. Sultan, F., Farley, J.H., Lehmann, D.R. (1990). A meta-analysis of applications of diffusion models, Journal of Marketing Research, 27 (1), 70-77. Cerca con Google

123. Takada, H., Jain, D. (1991). Cross-national analysis of diffusion of consumer durable goods in Pacific Rim countries, Journal of Marketing, 55 (2), 48-54. Cerca con Google

124. Talukdar, D., Sudhir K., Ainslie A. (2002). Investigating New Product Diffusion Across Products and Countries, Marketing Science, 21 (1), 97-116. Cerca con Google

125. Tarde, G. (1890). Les Lois de l’imitation: étude sociologique, Alcan, Paris. Cerca con Google

126. Tesfatsion, L. (2001). Introduction, Computational Economics, 18, 1-8. Cerca con Google

127. Unruh, G.C. (2000). Understanding carbon lock-in, Energy Policy, 28, 817-830. Cerca con Google

128. Valente, T.W. (1995), Network Models of the Diffusion of Innovations, Hampton Press, Cresskill, NJ. Cerca con Google

129. Van den Bulte, C., Lilien, G.L. (1997). Bias and systematic change in the parameter estimates of macro-level diffusion models, Marketing Science, 16 (4), 338?353. Cerca con Google

130. Van den Bulte, C., Lilien, G.L. (2001). Medical Innovation Revisited: Social Contagion Versus Marketing Efforts, The American Journal of Sociology, 106 (5), 1409-1435. Cerca con Google

131. Van den Bulte, C., Stremersch, S. (2004). Social contagion and income heterogeneity in new product diffusion: a meta-analytic test, Marketing Science, 23, 530-544. Cerca con Google

132. Van den Bulte, C., Stremersch, S. (2006). Contrasting early and late new product diffusion: speed across time, products, and countries, Working paper. Cerca con Google

133. Veblen T. (1971). La teoria della classe agiata, trad. it., Giulio Einaudi editore, Torino. Cerca con Google

134. Venkatesan, R., Kumar, V. (2002). A genetic algorithms approach to growth phase forecasting of wireless subscribers, International Journal of Forecasting, 18 (4), 625- 646. Cerca con Google

135. Venkatesan, R., Krishnan, T.C., Kumar, V. (2004). Evolutionary Estimation of macrolevel diffusion models using genetic alghoritms: an alternative to nonlinear least squares, Marketing Science, 23, 451-464. Cerca con Google

136. Verhulst, P. (1838). Notice sur la loi qui la population suit dans son accroissement, Corres.Math. et Physique, 10, 113-121. Cerca con Google

137. Watts D., Strogatz S. (1998). Collective dynamics of small-world Networks, Nature, 393, 440-442. Cerca con Google

138. Wind, Y. (1982). Product Policy, Addison Wesley, Reading, MA. Cerca con Google

139. Wolfram, S. (1984). Cellular Automata as Models of Complexity, Nature, 311, 419- 424. Cerca con Google

140. Wolfram, S. (1986). Theory and Applications of Cellular Automata, Advanced Series on Complex Systems, World Scientific Publication, Singapore. Cerca con Google

141. Wolfram, S. (2002). A New Kind of Science, Wolfram Media, Champaign, IL. Cerca con Google

Download statistics

Solo per lo Staff dell Archivio: Modifica questo record