Abstract
T he dynamic development of the digital economy creates new business conditions that catalyze crossindustry cooperation of enterprises and accelerate technology transfer between various market entities. This determines the need for the efficient integrated structures in the industrial sector of Russia with high scientific, innovative, digital, and production capacity. The purpose of the research is to develop and operationalize a competitive model of the scientific and industrial complex in the digital economy. The content of the scientific and industrial complex is determined, and the differences between the complex and the industrial cluster are identified. The competitive advantages of a scientific industrial complex in relation to autonomous enterprises are highlighted. The scientific novelty and practical significance of the study unfold in the development of theoretical provisions and structural and functional parameters of the model of the scientific and industrial complex in the digitalization of the social economic systems, as well as a cluster analysis based methodological approach to its operationalization. A methodological approach to the operationalization of the model of scientific and industrial complexes performing in the digital economy includes four stages: 1) identifying the prerequisites for the integration; 2) choosing the goals for establishing a complex; 3) enterprises clusterization and modeling of scenarios for establishing a complex; 4) development of a complex’s functioning and development mechanism. The basic, industrial and technological, innovative digital, institutional and managerial, structural, financial and market criteria for clustering enterprises and organizations to establish a complex have been worked out. The approach was tested and options for establishing scientific and industrial complexes were modeled from cluster analysis of 37 enterprises of the Central Chernozem region of Russia by the G-means method. With the results of the analysis in mind, the authors recommended to set up radio-electronic, electrical engineering complexes in Voronezh region and a machine-building complex in Lipetsk region. The article offers a list of members, goals, types of strategies, integration projects and expected results of the modeled complexes performance. The model of the scientific and industrial complex and the approach to its operationalization can become a methodological tool for the management of enterprises when some options for setting up, organization types and scenarios for the development of integrated structures in the industry of Russia are considered. Further research is seen to be in developing the models of strategic and sustainable development during digital transformation of scientific and industrial complexes, as well as in developing organizational and economic mechanisms for institutional transformations of industrial enterprises in the digital economy.
Highlights
Динамичное развитие цифровой экономики создает новые условия хозяйствования, катализирующие межотраслевую кооперацию предприятий и ускоряющие трансферт технологий между различными рыночными субъектами
A methodological approach to the operationalization of the model of scientific and industrial complexes performing in the digital economy includes four stages: 1) identifying the prerequisites for the integration; 2) choosing the goals for establishing a complex; 3) enterprises clusterization and modeling of scenarios for establishing a complex; 4) development of a complex’s functioning and development mechanism
The approach was tested and options for establishing scientific and industrial complexes were modeled from cluster analysis of 37 enterprises of the Central Chernozem region of Russia by the G-means method
Summary
Позволяет оценить возможность географической локализации и интеграции предприятий. РЭ – радиоэлектроника; ЭМ – электромеханика; МС – машиностроение; К – комбинированная специализация. Позволяет идентифицировать общность выпускаемой продукции, определить предпосылки для вертикальной, горизонтальной или диагональной интеграции, а также научной кооперации предприятий. R1.3 – Опыт реализации кооперационных проектов или участия в работе интегрированных. «+» – да / «–» – нет Позволяет учесть опыт проектной деятельности предприятий и навыки их функционирования в составе структур объединений, кластеров и т. «+» – да / «–» – нет Позволяет учесть опыт проектной деятельности предприятий и навыки их функционирования в составе структур объединений, кластеров и т. д
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