Regulation of the Multilevel Transfer System of Innovations for Sustainable Development

Шкарупа, Олена Василівна; Shkarupa, Ivan

doi:10.7250/scee.2019.009

Cited by 2 publications

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“…Based on previous research (O. Shkarupa & I. Shkarupa, 2019) and the concept of multilevel perspective on transitions formed by Geels (2002Geels ( , 2011, one believes that the idea of analyzing an effective transfer of innovations is based on a cognitive approach for multilevel connections between stakeholders in the system "business-region-state" (Medani, 2019; Hens et al, 2018a; Hens et al, 2018b).…”

Section: Theoretical Basismentioning

confidence: 99%

Multilevel transfer of innovations: Cognitive modeling to decision support in managing the economic growth

Шкарупа

Боронос

Vlasenko

et al. 2021

Problems and Perspectives in Management

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An essential aspect of the country’s economic growth is the transfer of innovation, which is very important nowadays. The innovative projects can be implemented through it at the level of households, companies, institutions, and local communities. The transfer of innovations is intended to cause a cumulative effect and stimulate economic growth. It is important to determine the influence of different factors on this process and consider the feedbacks in the “enterprise-region-state” system, which will increase the level of control over the process. The paper aims to find scientific instruments for managing the multilevel transfer of innovations, representing the connections between factors that act as catalysts/inhibitors of that process. The proposed methodology uses systems analysis, indicative analysis, and cognitive modeling (Fuzzy Cognitive Maps (FCM)). Based on the study results, a cognitive model was formed based on identifying the “strength of impact” of connections between elements that determine the level of influence of the micro- and macro-environment factors of the innovation multilevel transfer. From a practical point of view, this allows obtaining forecasts of its behavior under different management actions. To implement the research results, it is necessary to determine management tools that will allow stakeholders in the system “enterprise-region-state” to make a transfer of innovations most effective. It demonstrates the need for further research in this area and assessing the potential consequences of management decisions for economic growth. AcknowledgmentThis research was funded by a grant from the Ministry of Education and Science of Ukraine “Modelling the Transfer of Eco-Innovations in the Enterprise-Region-State System: Impact on Ukraine’s Economic Growth and Security” (No. 0119U100364).

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Section: Theoretical Basismentioning

confidence: 99%

Multilevel transfer of innovations: Cognitive modeling to decision support in managing the economic growth

Шкарупа

Боронос

Vlasenko

et al. 2021

Problems and Perspectives in Management

Self Cite

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“…According to O. Shkarupa and I. Shkarupa (2019), niche eco-innovations were defined as the primary object of the transfer -narrowly specialized segmental object-process eco-innovations in individual functional units of the economic system, which, through their scaling, geographical and sectoral diversification, become catalysts for green economic growth.…”

Section: Introductionmentioning

confidence: 99%

“…); 2) information (to improve the efficiency of management accounting and control the role of data); 3) technical and technological (to update the technologies, facilities, projects, programs, etc. ); 4) consumer-oriented (to influence consumer expectations); 5) institutional and legal (to improve the system of standards, regulations, directives) (Shkarupa, 2019).…”

Section: Introductionmentioning

confidence: 99%

Decision-making in conditions of expansion of eco-innovations based on the socioeconomic effects in the system “company-region-state”

Шкарупа

Aiyedogbon

Kucherenko

2020

Environmental Economics

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The article examines the current issues of managing the effectiveness of eco-innovations and their impact on the “company-region-state” system using the example of waste management in Ukraine. The goal of the article is to justify the choice of an effective eco-innovation financing strategy, in which the most significant socio-economic effect is achieved for the investor. Systematization of literary sources and approaches to solving the problems of innovation management enables to determine an appropriate strategy to support resource-efficient activities in the region considering the economic efficiency of eco-innovations. The choice of mathematically sound management decisions in the system “company-region-state” should be made in respect with the consequences for the sustainable development of the region. The article presents the developed approach to calculating the sequence of investment in the management of eco-innovations using the example of solid waste management. The research methods are based on systematic approach, decision theory, and the Bellman dynamic equation. The system of innovations concerning solid waste management in the city of Sumy was profoundly studied. The research empirically confirms that the most effective strategy is to build a waste sorting station using a separate waste collection. The results of the study also substantiate that the implementation of solid waste separate collection in the city of Sumy currently requires a change in investment approach. AcknowledgmentThis research was prepared as a part of the scientific project “Modeling the Transfer of Eco-Innovations in the Enterprise-Region-State System: Impact on Ukraine’s Economic Growth and Security” (No. 0119U100364) and “Development of fundamental principles of reproduction mechanism of the social and economic development during the Third industrial revolution” (No. 0118U003578), which were financed by the state budget of Ukraine.

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Regulation of the Multilevel Transfer System of Innovations for Sustainable Development

Abstract: The abstract analyses provision of the regulatory issues of environmental modernization of the national economy. It presents new scientific approaches to the transfer system of innovations for sustainable development. It also focuses on principles and mechanism of transfer.

Cited by 2 publications

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Multilevel transfer of innovations: Cognitive modeling to decision support in managing the economic growth

Multilevel transfer of innovations: Cognitive modeling to decision support in managing the economic growth

Decision-making in conditions of expansion of eco-innovations based on the socioeconomic effects in the system “company-region-state”

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