Cellular automata modeling of resistance to innovations: Effects and solutions

Technological Forecasting and Social Change

Volumn 71, Issue 5, 2004, Pages 425-442

  Moldovan, Sarit ^a   Goldenberg, Jacob ^a  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

Cellular automata; Innovation; Opinion leaders; Resistance; Word of mouth

Indexed keywords

AUTOMATA THEORY; CELLULAR RADIO SYSTEMS; COMPUTER SIMULATION; ECONOMIC AND SOCIAL EFFECTS; MARKETING; MATHEMATICAL MODELS; SOCIAL ASPECTS;

INTERPERSONAL COMMUNICATIONS;

TECHNOLOGICAL FORECASTING;

CELLULAR AUTOMATON; INNOVATION; MARKETING; PRODUCT DEVELOPMENT;

EID: 0742325143     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0040-1625(03)00026-X     Document Type: Article

References (48)

1. Adler B. Houghton J. America's Stupidest Business Decisions 1997 William Morrow New York
2. Leonard-Barton D. Experts as negative opinion leaders in the diffusion of a technological innovation J. Consum. Res. 11 4 1985 914-926
3. Eliashberg J. Jonker J.-J. Sawheny M.S. Wierenga B. MOVIEMOD: an implementable decision-support system for prerelease market evaluation of motion pictures Mark. Sci. 19 3 2000 226-243
4. Mahajan V. Muller E. Kerin R.A. Introduction strategy for new products with positive and negative word of mouth Manage. Sci. 30 12 1984 1389-1404
5. Rogers E.M. Diffusion of Innovations 1995 Free Press New York
6. Arndt J. Role of product-related conversations in the diffusion of a new product J. Mark. Res. 4 3 1967 291-295
7. Goldenberg J. Libai B. Muller E. Talk of the network: a complex systems look at the underlying process of word-of-mouth Mark. Lett. 12 3 2001 209-221
8. Mahajan V. Muller E. Innovation diffusion in a borderless global market: will the 1992 unification of the European community accelerate diffusion of new ideas, products, and technologies? Technol. Forecast. Soc. Change 45 3 1994 221-235
9. Midgley D.F. A simple mathematical theory of innovative behavior J. Consum. Res. 3 1 1976 31-41
10. Herr P.M. Kardes F.R. Kim J. Effects of word-of-mouth and product-attribute information on persuasion: an accessibility-diagnosticity perspective J. Consum. Res. 17 4 1991 454-462
11. Richins M.L. Negative word-of-mouth by dissatisfied consumers: a pilot study J. Mark. 47 1 1983 68-78
12. Mahajan V. Muller E. Wind Y. New-Product Diffusion Models 2000 Kluwer Academic Publishing Boston
13. Day G.S. Using attitude change measures to evaluate new product introductions J. Mark. Res. 7 4 1970 474-482
14. Flynn L.R. Goldsmith R.E. Eastman J.K. Opinion leaders and opinion seekers: two new measurement scales J. Acad. Mark. Sci. 24 2 1996 137-147
15. Black J.S. Opinion leaders: is anyone following? Public Opin. Q. 46 1982 169-176 (Summer)
16. Brown J.J. Reingen P.H. Social ties and word-of-mouth referral behavior J. Consum. Res. 14 3 1987 350-362
17. De Jager P. Resistance to change: a new view of an old problem Futurist 35 3 2001 24-27
18. Mukherjee A. Hoyer W.D. The effect of novel attributes on product evaluation J. Consum. Res. 28 3 2001 462-472
19. Smith R.E. Vogt C.A. The effect of integrating advertising and negative word-of-mouth communications on message processing and response J. Consum. Psychol. 4 2 1995 133-151
20. Bearden W.O. Oliver R.L. The role of public and private complaining in satisfaction with problem resolution J. Consum. Aff. 19 2 1985 222-240
21. Richins M.L. A multivariate analysis of responsiveness to dissatisfaction J. Acad. Mark. Sci. 15 3 1987 24-31
22. Singh J. Voice, exit, and negative word-of-mouth behaviors: an investigation across three service categories J. Acad. Mark. Sci. 18 1 1990 1-16
23. Watkins H.S. Liu R. Collectivism, individualism and in-group membership: implications for consumer complaining behavior in multicultural contexts J. Int. Consum. Mark. 8 3, 4 1996 69-96
24. Kalish S. Lilien G.L. A market entry timing model for new technologies Manage. Sci. 32 2 1986 194-206
25. Valente T.W. Network Models of the Diffusion of Innovations 1995 Hampton Press New Jersey
26. Valente T.W. Davis R.L. Accelerating the diffusion of innovations using opinion leaders Ann. Am. Acad. Polit. Soc. Sci. 566 1999 55-67
27. Venkatraman M.P. Opinion leaders, adopters, and communicative adopters: a role analysis Psychol. Mark. 6 1 1989 51-68
28. Chan K.K. Misra S. Characteristics of the opinion leader: a new dimension J. Advert. 19 3 1990 53-60
29. Yale L.J. Gilly M.C. Dynamic perceptions in personal source information search J. Bus. Res. 32 3 1995 225-237
30. Lam S.K. Schaubroeck J. A field experiment testing frontline opinion leaders as change agents J. Appl. Psychol. 85 6 2000 987-995
31. Warland R.H. Herrmann R.O. Willits J. Dissatisfied consumers: who gets upset and who takes action J. Consum. Aff. 9 2 1975 148-163
32. Moreau C.P. Lehmann D.R. Markman A.B. Entrenched knowledge structure and consumer response to new products J. Mark. Res. 38 1 2001 14-29
33. Waldorp M.M. Complexity 1992 Touchstone Books New York
34. Abrahamson E. Rosenkopf L. Social network effects on the extent of innovation diffusion: a computer simulation Organ. Sci. (Linthicum, MD) 8 3 1997 289-309
35. Anderson P. Complexity theory and organization science Organ. Sci. (Linthicum, MD) 10 3 1999 216-232
36. Bhargava S.C. Kumar A. Mukherjee A. A stochastic cellular automata model of innovation diffusion Technol. Forecast. Soc. Change 44 1 1993 87-97
37. Goldenberg J. Libai B. Muller E. Riding the saddle, how cross-market communications creates a major slump in sales J. Mark. 66 2 2002 1-16
38. Bridges E. Couglan A.T. Kalish S. New technology adoption in an innovative marketplace: micro- and macro-level decision making models Int. J. Forecast. 7 1991 257-270
39. Parker P.M. Aggregate diffusion forecasting models in marketing: a critical review Int. J. Forecast. 10 1994 353-380
40. Goldenberg J. Efroni S. Using cellular automata modeling of emergence of innovations Technol. Forecast. Soc. Change 68 3 2001 293-308
41. Judge T.A. Thoresen C.J. Pucik V. Welbourne T.M. Managerial coping with organizational change: a dispositional perspective J. Appl. Psychol. 84 1 1999 107-122
42. Oreg S. Resistance to change: developing an individual differences measure J. Appl. Psychol. 2003 (in press)
43. Casti J. Firm forecast New Sci. 162 April 1999 42-46
44. Wolfram S. Cellular automata as models of complexity Nature 311 October 1984 419-424
45. Sultan F. Farleyand J.U. Lehmann D.R. A meta-analysis of applications of diffusion models J. Mark. Res. 27 1 1990 70-77
46. Dye R. How to create explosive self-generating demand Advert. Age 70 46 1999 S20
47. S. Hansell, Amazon Tries Word of Mouth, NYTimes.com: http://www.nytimes.com/2003/02/10/business/media/10ADCO.html?ex=1046128 013-ei=1-en=1b4cd580f13c64ac (2003, February 10).
48. Dichter E. How word-of-mouth advertising works Harvard Bus. Rev. 44 November-December 1966 147-166