Substantiating the Diffusion Model of Innovation Implementation and its Application to Vaccine Propagation

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dc.contributor.authorGorbachuk, Vasyl
dc.contributor.authorDunaievskyi, Maksym
dc.contributor.authorSyrku, A.
dc.contributor.authorSuleimanov, Seit-Bekir
dc.date.accessioned2023-08-30T05:31:09Z
dc.date.available2023-08-30T05:31:09Z
dc.date.issued2022
dc.description.abstractThe paper examines prerequisites and assumptions of the classical Bass innovation diffusion model with the aim of applying it in modeling of relevant stochastic processes related to the pandemic. The Bass model has proven its versatility and applicability to various environments. A thorough mathematical substantiation of the model properties is presented based on theories of evolutionary equations and stochastic processes for its further development, as well as search for uncertainty parameters and observable variables. The paper provides realistic estimation results of the Bass model parameters for vaccination in Ukraine and Belarus on weekly data of the first half of 2021. Similar studies are suggested for other countries, as well as regions and districts of Ukraine.en_US
dc.identifier.citationSubstantiating the Diffusion Model of Innovation Implementation and its Application to Vaccine Propagation / V. M. Gorbachuk, M. S. Dunaievskyi, A. A. Syrku, S.-B. Suleimanov // Cybernetics and Systems Analysis. - 2022. - Vol. 58, No.1. - P. 84-94. - https://doi.org/10.1007/s10559-022-00438-1en_US
dc.identifier.issn1060-0396
dc.identifier.issn1573-8337
dc.identifier.urihttps://doi.org/10.1007/s10559-022-00438-1
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/25753
dc.language.isoenen_US
dc.relation.sourceCybernetics and Systems Analysisen_US
dc.statusfirst publisheduk_UA
dc.subjectnew producten_US
dc.subjectcritical massen_US
dc.subjectpandemicen_US
dc.subjectmarketingen_US
dc.subjecthealthcareen_US
dc.subjectstochastic processesen_US
dc.subjectarticleen_US
dc.titleSubstantiating the Diffusion Model of Innovation Implementation and its Application to Vaccine Propagationen_US
dc.typeArticleuk_UA
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