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Marketing i Menedžment Innovacij
Article . 2019 . Peer-reviewed
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Innovation Activity Development of Urban Public Transport Service Providers: Multifactor Economic and Mathematical Model

Authors: Borysova, T.; Monastyrskyi, G.; Zielinska, A; Barczak, M.;

Innovation Activity Development of Urban Public Transport Service Providers: Multifactor Economic and Mathematical Model

Abstract

Systematization literary sources and approaches for solving the problem of ecologists of «smart» city indicates that among factors that probably can affect the innovativeness of Ukrainian providers of urban public transport services have been used environmental factor, marketing expenses, financial potential, wear rate, level of quality of service, level of management skills, market share, tariff for passenger transportation. The purpose of the study is to identify the ways to improve the innovativeness of urban public transport service providers of the regional centres of Ukraine. The main aim of the research is to estimate the impact of several factor variables on the resulting attribute used multivariate regression analysis, which provided an adequate model. A significant contribution to the development of the theory and methodology of management of urban public transport enterprises were made by Nunes, Krasnyanskiy, Umpleby, Walters, Huang, Morchadze. The results of the evaluation of the innovativeness of Ukrainian providers of urban public transport services carried out based on the mathematical multifactor model are presented in the article. In January-March 2018, the authors initiated a study on the current state of urban public transport in regional Ukrainian cities. Methodological tools of the research were multivariate correlation-regression analysis and survey (the requests for public information were submitted by the Law of Ukraine «On Access to Public Information» to all city councils of Ukraine's regions except temporarily occupied territories). The study included a survey of 20 experts (marketers and experienced managers of transport companies) to determine weighting factors and the level of innovativeness through questionnaires. The expert evaluation was carried out using the marks method. The research has shown that the size of the innovativeness of providers of public transport services can be successfully interpreted through functional and statistical dependencies, which reflect the general and individual laws of the development of such entities using multi-factor mathematical models. The econometric model was tested for the adequacy with the Fisher criterion and the presence of autocorrelation. The research empirically confirms and theoretically proves thatsuch controllable factors are an environmental factor, financial potential, level of quality of service, level of management skills, the tariff for passenger transportation. The model can be used to predict the influence of controllable factors at the level of the innovativeness of providers of urban public transport services. The results of the research can be useful for scientific and practical workers, teachers, students of higher educational establishments. Keywords: econometric model, factors of innovativeness, innovativeness, urban transport, ecologists.

Keywords

екологістика, інноваційність, міський транспорт, ecologists, innovativeness, економетрична модель, urban transport, econometric model, factors of innovativeness, фактори інноваційності

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
Green
gold