A demand-based model for forecasting innovation diffusion

Computers and Industrial Engineering

Volumn 30, Issue 3 SPEC. ISS., 1996, Pages 487-499

  Kang, Byungryong ^a   Kim, Hojoong ^b   Han, Chimoon ^a   Yim, Chuhwan ^a  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^b Konkuk University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITION; ECONOMICS; ELECTRONIC EQUIPMENT; FORECASTING; MATHEMATICAL MODELS; TELECOMMUNICATION; TIME SERIES ANALYSIS;

DEMAND BASED MODEL; INNOVATION DIFFUSION;

MARKETING;

EID: 0030196956     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/0360-8352(96)00006-X     Document Type: Article

References (26)

1. F. M. Bass. A new product growth model for consumer durables. Mngmnt Sci. 15, 215-227 (1969).
2. P. H. Franses. Gompertz curves with seasonality. Technol. Forecast. Soc. Change 45, 287-297 (1994).
3. J. P. Martino. Technological Forecasting for Decision Making. Elsevier, New York (1975).
4. R. Pearl. The Biology of Population Growth. Alfred A. Knopf, New York (1925).
5. E. Mansfield. Technological change and the rate of imitation, Econometrica 29, 741-766 (1961).
6. A. W. Blackman Jr. A mathematical model for trend forecast. Technol. Forecast. Soc. Change 3, 441-445 (1972).
7. J. C. Fisher and R. H. Pry. A simple substitution model of technological change. Technol. Forecast. Soc. Change 3, 75-88 (1971).
8. V. Mahajan, E. Muller and F. M. Bass. New product diffusion models in marketing: A review and directions for research. J. Marketing 54, 1-26 (1990).
9. J. A. Norton and F. M. Bass. A diffusion theory of adoption and substitution for successive generations of high technology products. Mngmnt Sci. 33, 1069-1086 (1987).
10. C. J. Easingwood, V. Mahajan and E. Muller. A nonsymmetric responding logistic model for technological substitution. Technol. Forecast. Soc. Change 20, 199-213 (1981).
11. J. A. Sharp. An interpretation of non-symmetric responding logistic model in term of price and experience effects. J. Forecasting 3, 453-156 (1984).
12. C. J. Easingwood, V. Mahajan and E. Muller. A nonuniform influence innovation diffusion model of new product acceptance. Market. Sci. 2, 273-295 (1983).
13. V. Mahajan and E. Muller. Innovation diffusion in a borderless global market. Technol. Forecast. Soc. Change 45, 221-235 (1994).
14. M. N. Sharif and C. Kabir. A generalized model for forecasting technological substitution. Technol. Forecast Soc. Change 8, 353-364 (1976).
15. M. N. Sharif and M. N. Islam. The Weibull distribution as a general model for forecasting technological. Technol. Forecast Soc. Change 18, 247-256 (1980).
16. D. Horsky. A diffusion model incorporating product benefits, price, income and information. Market. Sci. 9, 342-365 (1990).
17. R. Stone and D. A. Rowe. The durability of consumers durable goods. Econometrica 28, 407-116 (1960).
18. H. S. Houthakker and L. D. Taylor. Consumer Demand in the United States. Harvard University Press (1966).
19. Statistical Yearbook of Communications, Ministry of Communications, Korea (1982-1994).
20. Annual Report of Telecommunication, The Electric Times Inc., Korea (1988-1994).
21. Statistical Yearbook of Telecommunications, Korea Telecom, Korea (1990-1993).
22. A Report of Study Group on Broadband ISDN in Japan, Ministry of Posts and Telecommunications, Japan (1992).
23. A White Book on Telecommunications, Ministry of Posts and Telecommunications Japan (1988-1993).
24. Information Communications Almanac, InfoCom Research Inc., Japan (1990-1993).
25. R. Stone. Linear expenditure systems and demand analysis: an application to the pattern of British demand. The Economic Journal LXIV (255), 511-527 (1954).
26. X. Tingyan, A combined Growth Model for Trend Forecasts. Technol. Forecast. Soc. Change 38, 175-86 (1990).