UDC 519.8
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2 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
MaxDunaievskyi@gmail.com
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3 Main Center of Special Monitoring of the National Space Facilities Control and Test Center of the State Space Agency of Ukraine, Gorodok, Zhytomyr region, Ukraine
saan@ukr.net
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4 V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
sbsuleimanov@gmail.com
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SUBSTANTIATION OF THE DIFFUSION MODEL FOR INNOVATION IMPLEMENTATION
AND ITS APPLICATION TO THE PROPAGATION OF VACCINATIONS
Abstract. The article examines in detail the prerequisites and assumptions of the classical Bass model
of innovation diffusion in order to apply it to the modeling of topical stochastic processes related to the pandemic.
The Bass model has proven its versatility and applicability to various environments.
The article presents a thorough mathematical substantiation of the model properties for the purpose of its further development,
search of uncertainty parameters and observed variables, based on the theories of evolutionary equations and stochastic processes.
The paper provides realistic results of the Bass model parameter estimation for vaccination in Ukraine and Belarus on the weekly
data of the first half of 2021 and suggests similar studies for other countries as well as regions and districts of Ukraine.
Keywords: new product, critical mass, pandemic, marketing, health care, stochastic processes.
FULL TEXT
REFERENCES
- Bass F.M. A new product growth for model consumer durables. Management Science. 1969. Vol. 15, N 5. P. 215–227.
- Bass F.M. The theory of stochastic preference and brand switching. Journal of Marketing Research. 1974. Vol. 11, N 1. P. 1–20.
- Bass F.M., Norton J.A. A diffusion theory model of adoption and substitution for successive generations of high-technology products. Management Science. 1987. Vol. 33, N 9. P. 1069–1086.
- Mahajan V., Muller E., Bass F. New product diffusion models in marketing: a review and directions for research. Journal of Marketing. 1990. Vol. 54, N 1. P. 1–26.
- Bass F.M. A new product growth model for consumer durables. Institute Paper N 175. Insitute for Research in the Behavioral, Economic and Management Sciences. Lafayette, IN: Herman C. Krannert Graduate School of Industrial Administration; Purdue University, 1967. 33 p.
- Bass F.M. A dynamic model of market share and sales behavior. Proc. Winter Conference American Marketing Association. Chicago, IL: AMA, 1963. P. 263–276.
- Gorbachuk M.L., Pivtorak N.I. On solutions of parabolic evolution equations with degeneration. Differential Equations. 1985. Vol. 21, N 8. P. 1317–1324.
- Knopov P.S., Deriyeva O.N. Estimation and control problems for stochastic partial differential equations. New York: Springer, 2013. 183 p.
- Nakonechnyi O.G., Kapustian O.A., Chikrii A.O. Approximate guaranteed mean square estimates of functionals on solutions of parabolic problems with fast oscillating coefficients under nonlinear observations. Kibernetika i sistemnyj analiz. 2019. Vol. 55, N 5. P. 95–105.
- Knopov P.S., Norkin V.I., Atoev K.L., Gorbachuk V.M., Kirilyuk V.S., Bila G.D., Samosyonok O.S., Bogdanov O.V. Some approaches to the use of stochastic models of epidemiology to the problem of COVID-19. Kyiv: V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine, 2020. 17 p.
- Vagis A.A., Gupal A.M., Gupal N.A. Determination of risk groups for diseases caused by COVID-19. Kibernetyka ta komp’yuterni tekhnolohiyi. 2020. N 3. P. 25–31.
- Yakovlev S., Bazilevych K., Chumachenko D., Chumachenko T., Hulianytskyi L., Meniailov I., Tkachenko A. The concept of developing a decision support system for the epidemic morbidity control. CEUR Workshop Proceedings. 2020. Vol. 2753. P. 265–274.
- Gurumurthy K., Mukherjee A. The Bass model: A parsimonious and accurate approach to forecasting mortality caused by COVID-19. International Journal of Pharmaceutical and Healthcare Marketing. 2020. Vol. 14, N 3. P. 349–360.
- Allenby G., Gengler L., Sood A., Tellis G.J., Winer R.S. Commentaries: The Bass model: A parsimonious and accurate approach to forecasting mortality caused by COVID-19. International Journal of Pharmaceutical and Healthcare Marketing. 2020. Vol. 14, N 3. P. 361–365.
- Gorbachuk V., Gavrilenko S. Analysis of the dynamics of COVID-19 spread in Ukraine and neighboring countries, May 1–10, 2020. Global and Regional Problems of Informatization in Society and Nature Using 2020. Kyiv: National University of Life and Environmental Sciences of Ukraine, 2020. C. 56–60.
- Gorbachuk V.M., Shulinok G.O. Modeling the behavior of a pharmaceutical company. Teoriya optymalʹnykh rishenʹ. 2017. P. 147–153.
- Gorbachuk V.M. An asymmetric Cournot–Nash equilibrium under uncertainty as a generalized Cournot–Stackelberg–Nash equilibrium. Cybernetics and Systems Analysis. 2007. Vol. 43, N 4. P. 471–477.
- Ermoliev Yu., Ermolieva T., Kahil T., Obersteiner M., Gorbachuk V., Knopov P. Stochastic optimization models for risk-based reservoir management. Cybernetics and Systems Analysis. 2019. Vol. 55, N 1. P. 55–64.
- Gorbachuk V., Ermoliev Y., Zagorodniy A., Bogdanov V., Ermolieva T., Rovenskaya E., Komendantova N., Borodina O., Knopov P., Norkin V., Gaivoronski A. Iterative stochastic quasigradient procedures for robust estimation, machine learning and decision making problems. 31st European Conference on Operational Research (July 11–14, 2021, Athens, Greece). The Association of European Operational Research Societies, 2021. P. 184–185.
- Gorbachuk V.M. Generalized Cournot–Stackelebrg–Nash equilibrium. Cybernetics and Systems Analysis. 2006. Vol. 42, N 1. P. 25–33.
- Gorbachuk V., Dunaievskyi M., Suleimanov S.-B. Modeling of agency problems in complex decentralized systems under information asymmetry. IEEE Conference on Advanced Trends in Information Theory (December 18–20, Kyiv, Ukraine). Kyiv: Taras Shevchenko National University of Kyiv, 2019. P. 449–454.
- Bartlett M.S. Stochastic population models in ecology and epidemiology. London: Methuen, 1960. 90 p.
- Bartlett M.S. Introduction to the theory of stochastic processes [Russian translation]. Moscow: Izd-vo inostrannoy literatury, 1958. 384 p.
- Mansfield E. Economics of scientific and technological progress [Russian translation]. Moscow: Progress, 1970. 237 p.
- Rogers E.M. Diffusion innovation [Ukrainian translation]. Kyiv: Kyiv-Mohyla Academy, 2009. 592 p.
- Krivonos Y., Gorbachuk V., Wojcik W., Smailova S. Time series regression and Granger causality. Current Problems in Information and Computational Technologies. Vol. 2. Wojcik W., Sikora J. (Eds.). Lublin: Politechnika Lubelska, 2012. P. 7–49.
- Gorbachuk V.M. Determination of the critical mass of distribution of network products. Naukovo-tekhnichna informatsiya. 2013. N 4. P. 50–55.
- Gorbachuk V., Chumakov B. A computable critical mass on market of new network product. Transport Systems and Logistics. Chisinau: Academia de Transporturi, Informatic 2013. P. 272–281.
- Gorbachuk V., Dunaievskyi M., Syrku A. Epidemic effects in network industries. International Conference on Software Engineering (April 12–14, 2021, Kyiv). Kyiv: National Aviation University, 2021. P. 68–72.
- Mathieu E., Ritchie H., Ortiz-Ospina E., Roser M., Hasell J., Appel C., Giattino C., Rodes-Guirao L. A global database of COVID-19 vaccinations. Nature Human Behavior. 2021. Vol. 5. P. 947–953.
- Bardadym T.O., Gorbachuk V.M., Novoselova N.A., Osypenko S.P., Skobtsov V.Yu. Intelligent analytical system as a tool to ensure the reproducibility of biomedical calculations. Штучний інтелект. 2020. № 3. P. 67–81.
- Novoselova N.A., Skobtsov V.Y., Tom IE, Bardadim T.A., Gorbachuk V.M., Osipenko S.P. Modern possibilities of development and organization of intelligent analytical systems. Glushkov readings. Kyiv: Taras Shevchenko National University, 2020. P. 113–116.
- Gorbachuk V., Skobtsov Y., Tom I. Economic aspects of health care in the information age. National Health as Determinant of Sustainable Development of Society. Dubrovina N., Filip S. (Eds.). Bratislava, Slovakia: School of Economics and Management in Public Administration, 2021. P. 697–720.
- Bardadym T., Gorbachuk V., Novoselova N., Osypenko S., Skobtsov V., Tom I. On biomedical computations in cluster and cloud environment. Cybernetics and Computer Technologies. 2021. N 2. P. 76–84.
- Gorbachuk V., Gavrilenko S., Golotsukov G., Nikolenko D. To digital technologies of patent processing for development of critical products. Information and Digital Technologies 2021 (June 22–24, 2021, Zilina, Slovakia). 2021. P. 131–141.