Release:2021. Vol. 7. № 1 (25)
About the authors:Albert E. Brand, Postgraduate Student, Department of Algebra and Mathematical Logics, University of Tyumen; firstname.lastname@example.org
This article assesses the relationship between the level of innovation and the process of spreading generations of an industrial product among the consumers on the example of generations of a stationary game console from Sony. This work follows the scientific direction of modeling and forecasting the spread of innovations; it contains the results of the analysis of the dynamics in the change of successive generations of an industrial product. The relevance of the research topic lies in the increased competition between companies engaged in innovative activities. This results in the need to determine the reasonable directions of technical, technological, and market development of the developed innovations in the form of new and improved products.
This study uses the mathematical model by F. Bass, supplemented by the provisions of T. Islam and N. Meade on the variability of consumer behavior of different generations. The conducted review of research literature has revealed an insufficient elaboration of the issue of a qualitative and quantitative assessment of the relationship between the rate of spread of generations and the changes made to them. The authors draw hypotheses about the independence of the market potentials of successive generations from each other and the dependence of the level of innovativeness of the next generation of industrial products on technological, consumer and marketing changes. As a set of changes, this article proposes parameters of the purchase price and the cost of operating each generation. The authors have tested the hypothesis on statistical data of generational sales for 1994-2019 using correlation analysis.
The results have shown the absence of the influence of the market potentials of successive generations from each other, as well as the presence of a connection and its strength between the level of innovativeness of the next generation and the changes made in the generations. The data obtained can be used for further mathematical formalization of the influence of the level of innovativeness of generations on the process of their distribution.
Dubinina M. G. 2015. “A study of current approaches to modeling the diffusion of technologies in high-tech industries”. Proceedings of the Institute of System Analysis of the Russian Academy of Sciences. Vol. 65, no. 3, pp. 43-54. [In Russian]
Website HSE University Institute for Statistical Studies and Economics of Knowledge. https://issek.hse.ru/news/392498475.html [In Russian]
Trusevich E. V., Goncharova N. A. 2014. “Innovation activity as a means of competitiveness”. Modern Technologies. System Analysis. Modeling, vol. 2, no. 42, pp. 196-202. [In Russian]
RF Federal Law of 23 August 1996 No. 127-FZ (as of 8 December 2020) “On Science and State Scientific and Technical Policy”. Elektronnyy fond pravovoy i normativno-tekhnicheskoy dokumentatsii. http://docs.cntd.ru/document/9028333 [In Russian]
Abell D. 1980. Defining the Business: The Starting Point of Strategic Planning, Englewood Cliffs, NJ: Prentice Hall. 257 p.
Bass F. M. 1969. “A new product growth model for consumer durables”. Management Science, vol. 15, no. 5, pр. 215-227.
Cox J. 2008. “Purchasing power parity and cultural convergence: evidence from the global video games market”. Journal of Cultural Economics, vol. 32, no. 3, pр. 201-214. DOI: 10.1007/s10824-008-9073-z
Hagerstrand T. 1967. Innovation Diffusion as a Spatial Process. Chicago, USA: Univ. Chicago Press. 334 p.
Islam T., Meade N. 1997. “The diffusion of successive generations of a technology: a more general model”. Technological Forecasting and Social Change. vol. 56, no. 1, pр. 49-60.
Kumar N. 2015. “Review of innovation diffusion models”. Working paper, no. 1. Accessed 1 November 2020. www.researchgate.net/publication/279099570_Review_of_Innovation_Diffusion_Models
Mahajan V., Peterson R. A. 1978. “Innovation diffusion in a dynamic potential adopter population”. Management Science. vol. 24, no. 15, pр. 1589-1597. DOI: 10.1287/mnsc.24.15.1589
Mahajan V. Wind Y. 1986, Innovation Diffusion Models of New Product Acceptance. Cambridge: Ballinger. 318 pp.
Marshall G. 2019. “Innovation and competition: the role of the product market”. International Journal of Industrial Organization, no. 65, pр. 221-247. DOI: 10.1016/j.ijindorg.2019.04.001
Norton J. A., Bass F. M. 1987. “A diffusion theory model of adoption and substitution for successive generations of high-technology products”. Management Science. vol. 33, no. 9, pр. 1069-1086.
Peres R., Muller E., Mahajan V. 2010. “Innovation diffusion and new product growth models: a critical review and research directions”. International Journal of Research in Marketing. vol. 27, no. 2, pр. 91-106. DOI: 10.1016/j.ijresmar.2009.12.012
Rogers E. M. 1961. Diffusion of Innovations. 1st edition. New York: Free Press of Glencoe.
Shi X., Fernandes K, Chumnumpan P. 2014. “Diffusion of multi-generational high-technology products”. Technovation. vol. 34. pp. 162-176.
SONY. “Earnings Releases”. https://www.sony.net/SonyInfo/IR/library/presen/er/archive.html
SONY. “PlayStation hardware and software sales decline in Q3 FY19”. https://sonyreconsidered.com/playstation-hardware-and-software-sales-decline-in-q3-fy19-92dc321a2803
Srinivasan V., Mason C. 1989. “Non-linear least square estimation of new product diffusion models”. Marketing Science, no. 5, pр. 169-178.
Stremersch S., Muller E., Peres. R. 2010. “Does new product growth accelerate across technology generations?” Journal of Marketing. vol. 21, no. 2, pp. 103-120.