Development of Digital Regional Ecosystems: Russian Specifics and Risk Leveling
Larisa V. Moskovtceva (),
Nadezhda V. Pilipchuk (),
Bella O. Khashir (),
Yuliya N. Popova () and
Zhanna A. Aksenova ()
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Larisa V. Moskovtceva: Lipetsk State Technical University
Nadezhda V. Pilipchuk: Tver State University
Bella O. Khashir: Kuban State Technological University
Yuliya N. Popova: Voronezh State University of Forestry and Technologies named after G.F. Morozov
Zhanna A. Aksenova: Saint-Petersburg State Forest Technical University
A chapter in AgroTech, 2022, pp 79-87 from Springer
Abstract:
Abstract The article aims at studying the Russian specifics of the development of digital regional ecosystems, as well as analyzing risk factors and designing effective tools for levelling them. The authors propose to use a subject-infrastructure approach to the study of digital regional ecosystems. This allowed the authors to present the digital regional ecosystem as a unity of interacting entities (citizens, business, scientific and educational community, state), their abilities and capabilities to use data in digital form as a special type of factors of production, as well as the environment of their interaction formed by digital infrastructure and mechanisms for integrating technological solutions within the established institutional field. The authors propose a model for assessing the state of a digital regional ecosystem in terms of a subject-infrastructure approach, including the stages of structuring a digital regional ecosystem; selecting indicators to assess the state of a digital regional ecosystem and calculation of integral indicators; analyzing risk factors for the development of a digital regional ecosystem; determining directions for improving the digital regional ecosystem based on levelling risk factors. The proposed model was tested on the example of five regions of Russia and confirmed the assumption about the differentiation of the development of digital ecosystems in different regions. The results obtained by the authors can be used by executive authorities to improve management decisions on the development of regional digital ecosystems.
Keywords: Digital regional ecosystem; Region; Risk factors; Russia; Digitalization; Digitalization of subjects; Digital infrastructure; O33; R11 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-3555-8_8
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DOI: 10.1007/978-981-19-3555-8_8
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