MODELS FOR INNOVATIVE PRODUCTS DEMAND

The importance of innovation nowadays can’t be overestimated. The introduction of innovations in usual life goes through the innovative projects, which are includes the stage of research, development, production and market realization. Like any other commercial project, the innovative project must be cost-effective in the long run to pay off and make a profit. However, the calculation of potential profits from an innovative product or service remains the most unexplored area in the innovative projects assessment. This factor makes the topic of this article particularly urgent. This article examines different approaches to assess the demand for innovation in the evaluation of innovative projects. The article provides arguments in favor of S-form of curve of innovative product adoption. Consistently discusses the stages of the model modification by adding the factors of price, advertising, market potential. Explores the advantages and disadvantages of different methods for determining Bass model parameters. It is concluded that model is practical applicable in the management of innovation projects. 

1. Fourt L.A., & Woodlock, J. W. (1960, October). Early prediction of early success of new grocery products. Journal of Marketing, 25, 31–38.

2. Mansfi eld E. (1961). Technical change and the rate of imitation. Econometrica, 29, 741–766.

3. Floyd A. (1962). Trend forecasting: A methodology for fi gure of merit. In J. Bright (Ed.), Technological forecasting for industry and government (pp. 95–105). New Jersey Prentice Hall.

4. Rogers E.M. (1962). Diffusion of innovations. New York The Free Press.

5. Chow G.C. (1967). Technological change and demand for consumers. AmericanEconomicReview, 57, 1117–1130.

6. Bass F.M. (1969). A new product growth model for consumer durables. ManagementScience, 15, 215–227.

7. Meade N. (1984). The use of growth curves in forecasting market development — A review and appraisal. Journal of Forecasting, 3, 429–451.

8. Mahajan V. & Peterson R.A. (1985). Models for innovation diffusion. California, USA Sage.

9. Mahajan V., Muller E. & Bass F.M. (1990). New-product diffusion models: A review and directions for research. Journal of Marketing, 54, 1–26.

10. Mahajan V., Muller E. & Bass F.M. (1993). New-product diffusion models. In Handbook in operations research and management science: Chapter 8. Marketing, vol. 5. Amsterdam, Netherlands North Holland.

11. Baptista R. (1999). Do innovations diffuse faster within geographical clusters? International Journal of the Economics of Business, 6, 107–129.

12. Mahajan V., Muller E. & Wind Y. (2000b). New product diffusion models: From theory to practice. In V. Mahajan, E. Muller, &Y. Wind (Eds.), New product diffusion models (pp. 3–24). London Kluwer Academic Publishers.

13. Mahajan V., Muller E., Wind Y. (Eds.) (2000a). New product diffusion models. LondonKluwerAcademicPublishers.

14. Meade N., & Islam T. (2001). Forecasting the diffusion of innovations. In J.S. Armstrong (Ed.), Principles of forecasting. Boston Kluwer Academic Publishers.

15. Bass F.M., Krishnan T. & Jain D. (1994). Why the Bass model fi ts without decision variables. Marketing Science, 13 (3), 203–223.

16. 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.

17. Минаков В. Ф., Макарчук Т. А., Артемьев А. В. Модель Басса в управлении инновационным развитием отрасли связи России // Качество, инновации, образование. 2013. № 8 (99). С. 23–27 / Minakov V.F., Makarchuk T.A., Artemyev A.V. Model Bassa in management of innovative development of branch of communication of Russia [Model’ Bassa v upravlenii innovacionnym razvitiem otrasli svjazi Rossii]. Quality, innovations, education — Kachestvo, innovacii, obrazovanie. 2013. No. 8 (99). P. 23–27.

18. Fruchter G.E., Van den Bulte C. Why the Generalized Bass Model leads to odd optimal advertising policies. International Journal of Research in Marketing. 2011. Т. 28. No. 3. P. 218–230.

19. Iyengar R., Van den Bulte C., Valente T.W. Opinion leadership and social contagion in new product diffusion. Marketing Science. 2011. Т. 30. No. 2. P. 195–212.

20. Минаков В. Ф., Минакова Т. Е., Галстян А. Ш., Шиянова А. А. Обобщенная экономико-математическая модель распространения и замещения инноваций // Экономический анализ: теория и практика. 2012. № 47 (302). С. 49–54 / Minakov V.F., Minakova T.E., Galstyan A. Sh., Shiyanova A.A. The generalized economic-mathematical model of distribution and replacement of innovations [Obobshhennaja jekonomiko-matematicheskaja model’ rasprostranenija i zameshhenija innovacij]. Jekonomicheskij analiz: teorija i praktika — Economic analysis: theory and practice. 2012. No. 47 (302). P. 49–54.

21. Bonus H. (1973). Quasi-Engel curves, diffusion and the ownership of major consumer durables. Journal of Political Economy, 81, 655–677.

22. Fourt L.A. & Woodlock, J. W. (1960, October). Early prediction of early success of new grocery products. Journal of Marketing, 25, 31–38.

23. Horsky D. & Simo L.S. (1983). Advertising and the diffusion of new products. Marketing Science, 2 (1), 1–17.

24. Liang X., Xie L., Yan H. Self Restraining Bass Models. Journal of Forecasting. 2015.

25. Robinson B. & Lakhani C. (1975). Dynamic pricing models for new product planning. Management Science, 10, 1113–1122.

26. Sultan F., Farley J.U. & Lehman D.R. (1990). A meta-analysis of applications of diffusion models. Journal of Marketing Research, 27, 70–77.