Innovation diffusion: Some new technological substitution models

References

• Bass , F. M. 1969 . A new product growth model for consumer durables . Management Science , 15 : 215 – 227 .
   Web of Science ®Google Scholar
• Bewley , R. and Fiebig , D. G. 1988 . A flexible logistic growth model with applications in telecommunications . International Journal of Forecasting , 2 (2) : 177 – 192 .
   Google Scholar
• Blackman , A. W. Jr. 1971 . The rate of innovation in the commercial aircraft jet engine market . Technological Forecasting and Social Change , 2 (3–4)
   Google Scholar
• _____ . 1972 . A mathematical model for trend forecasts . Technological Forecasting and Social Change , 3 : 441 – 452 .
   Google Scholar
• Bundgaard‐Nielsen , M. 1976 . The international diffusion of new technology . Technological Forecasting and Social Change , 8 : 365 – 370 .
   Google Scholar
• Dixon , R. 1980 . Hybrid corn revisited . Econometrica , 48 : 1451 – 1461 .
   Web of Science ®Google Scholar
• Dodson , J. A. and Muller , E. 1978 . Models of new product diffusion through advertising and word‐of‐mouth . Management Science , 24 : 1568 – 1578 .
   Web of Science ®Google Scholar
• Easingwood , C. J. , Mahajan , V. and Muller , E. 1981 . A nonsymmetric responding logistic model for technological substitution . Technological Forecasting and Social Change , 20 : 199 – 213 .
   Web of Science ®Google Scholar
• _____ . 1983 . A nonuniform influence innovation diffusion model of new product acceptance . Marketing Science , 2 : 273 – 295 .
   Google Scholar
• Eliashberg , J. and Chatterjee , R. 1985 . Analytical models of competition with implications for marketing: Issues, findings, and outlook . Journal of Marketing Research , 22 : 237 – 261 .
   Web of Science ®Google Scholar
• Fisher , J. C. and Pry , R. H. 1971 . A simple substitution model for technological change . Technological Forecasting and Social Change , 3 : 75 – 88 .
   Web of Science ®Google Scholar
• Floyd , A. 1968 . “ A methodology for trend forecasting of figures of merit ” . In Technological Forecasting for Industry and Government: Methods and Applications , Edited by: Bright , J. 95 – 109 . Englewood Cliffs, NJ : Prentice‐Hall .
   Google Scholar
• Fourt , L. A. and Woodlock , J. W. 1960 . Early prediction of market success for grocery products . Journal of Marketing , 25 : 31 – 38 .
   Web of Science ®Google Scholar
• Gompertz , B. 1825 . On the science connected with human mortality . Phil. Trans. Roy. Soc. , 115 : 513
   Google Scholar
• Gore , A. P. and Lavaraj , U. A. 1987 . Innovation diffusion in a heterogeneous population . Technological Forecasting and Social Change , 32 : 163 – 168 .
   Google Scholar
• Holt , K. 1977 . Product innovations , London : Newnes‐Butterworths .
   Google Scholar
• Jeuland , A. P. Parsimonious models of diffusion of innovation: Part A, derivations and comparisons . Working Paper, Graduate School of Business . University of Chicago .
   Google Scholar
• _____ . Parsimonious models of diffusion innovation: Part B, Incorporating the variable of price . Working Paper, Graduate School of Business . University of Chicago .
   Google Scholar
• Kapur , J. N. 1985 . Mathematical models in biology and medicine , New Delhi : East‐West Press .
   Google Scholar
• _____ . 1988 . Mathematical modelling , New Delhi : Wiley Eastern Ltd .
   Google Scholar
• _____ , Kumar , U. and Kumar , V. 1991 . Relationship amongst technological substitution models of innovation diffusion . Journal of Information and Optimization Sciences , 12 (1) : 81 – 98 .
   Google Scholar
• Kovac , E J. 1969 . Tire reinforcing systems , second edition , The University of Akron Lecture Series The Goodyear Tire & Rubber Company .
   Google Scholar
• Kumar , U. , Kumar , V. and Kapur , J. N. 1990 . “ Time of occurrence of point of inflection for technological innovation diffusion models: A comparative study ” . In In Technology Management II , Edited by: Khalil , T. M. and Bayraktar , B. A. Inderscience Enterprises .
   Google Scholar
• Kumar , U. and Kumar , V. 1991 . “ Developing technological innovation diffusion models: A framework ” . In Technology Management: The New International Language , Edited by: Kocaoglu , D. F. and Niwa , K. IEEE Service Center .
   Google Scholar
• _____ . 1992 . Technological innovation diffusion: The proliferation of substitution models and easing the user's dilemma . IEEE Transactions on Engineering Management , 39 (2) : 158 – 168 .
   Google Scholar
• Lekvall , P. and Wahlbin , C. 1973 . A study of some assumptions underlying innovation diffusion functions . Sweden Journal of Economics , : 362 – 377 .
   Google Scholar
• Lilien , G. L. , Rao , A. G. and Kalish , S. 1981 . Bayesian estimation and control of detailing effort in a repeat purchase diffusion environment . Management Science , 27 : 493 – 506 .
   Web of Science ®Google Scholar
• Mahajan , V. and Peterson , R. A. 1985 . Models for innovation diffusion , Beverly Hills, CA : Sage .
   Google Scholar
• _____ . 1979 . Integrating time and space in technological substitution models . Technological Forecasting and Social Change , 14 : 231 – 241 .
   Google Scholar
• _____ and Wind , Y. 1986 . Innovation diffusion models of new product acceptance , Cambridge : Ballinger Publishing Company .
   Google Scholar
• _____ , Muller , E. and Bass , E M. 1991 . New product diffusion models in marketing: A review and directions for research . Journal of Marketing , 54 : 1 – 26 .
   Google Scholar
• Mansfield , E. 1961 . Technical change and the rate of imitation . Econometrica , 29 : 741 – 766 .
   Web of Science ®Google Scholar
• Martino , J. P. 1983 . Technological forecasting for decision making , New York : North‐Holland .
   Google Scholar
• McGowan , I. 1986 . The use of growth curves in forecasting market development . Journal of Forecasting , 5 (1) : 69 – 71 .
   Google Scholar
• Merino , D. N. 1990 . Development of a technological 5‐curve for tire cord textiles . Technological Forecasting and Social Change , 37 : 275 – 291 .
   Web of Science ®Google Scholar
• Midgley , D. F. 1977 . Innovation and new product marketing , New York : John Wiley and Sons .
   Google Scholar
• Nevers , J. V. 1972 . Extensions of a new product growth model . Sloan Management Review , 13 : 78 – 79 .
   Google Scholar
• Norton , J. A. and Bass , F. M. 1987 . A diffusion theory model of adoption and substitution for successive generations of high‐technology products . Management Science , 33 : 1069 – 1086 .
   Web of Science ®Google Scholar
• Peterson , R. A. and Mahajan , V. 1978 . “ Multi‐product growth models Research in Marketing ” . Edited by: Sheth , Jagdish . Greenwich, CT : JAI Press .
   Google Scholar
• Robinson , B. and Lakhani , C. 1975 . Dynamic price models for new‐product planning . Management Science , 21 : 1113 – 1122 .
   Web of Science ®Google Scholar
• Rogers , E. M. 1983 . Diffusion of innovations. , 3rd ed. , New York : The Free Press .
   Google Scholar
• Schmittlein , D. and Mahajan , V. 1982 . Maximum likelihood estimation for an innovation diffusion model of new product acceptance . Marketing Science , 1 : 57 – 78 .
   Google Scholar
• Sharif , M. N. and Islam , M. N. 1980 . The Weibull distributions as a general model for forecasting technological change . Technological Forecasting and Social Change , 18 : 247 – 256 .
   Web of Science ®Google Scholar
• Sharif , M. N. and Kabir , C. 1976 . A generalized model for forecasting technological substitution . Technological Forecasting and Social Change , 8 : 353 – 364 .
   Web of Science ®Google Scholar
• _____ and Ramanathan , K. 1982 . Polynomial innovation diffusion models . Technological Forecasting and Social Change , 21 : 301 – 323 .
   Google Scholar
• Skiadas , C. 1985 . Two generalized rational models for forecasting innovation diffusion . Technological Forecasting and Social Change , 27 : 39 – 61 .
   Google Scholar
• Smith , F. E. 1963 . Population dynamics in daphnia magna and a new model for population growth . Ecology , 44 : 651 – 663 .
   Web of Science ®Google Scholar
• Teotia , A. P. S. and Raju , P. S. 1986 . Forecasting the market penetration of new technologies using a combination of economic cost and diffusion models . Journal of Product Innovation Management , 3 : 225 – 237 .
   Web of Science ®Google Scholar
• von Bertalanffy , L. 1957 . Quantitative laws in metabolism and growth . Quarterly Review of Biology , 32 : 217 – 231 .
   PubMed Web of Science ®Google Scholar