DOI

Subject. As the digital economy evolves, large industrial enterprises need to apply advanced tools for evaluating their digital capabilities, thus outlining strategic lines of their IT development for higher economic efficiency. Objectives .The research aims to devise and test analytical tools to evaluate digital capabilities of industrial enterprises. Methods. Using general methods of analysis and synthesis, we examined the existing approaches to understanding digital capabilities and methods to gauge them. The decomposition method helped create our own model of functional correlation of digital capabilities. We analyzed the digitization capabilities of business processes in terms of their development level, referring to one of the leading defense enterprise in the Urals region. Results .The article presents our own approach to the concept, institutional substance, functional correlation model of elements and technique to evaluate the development level of digital capabilities of an industrial enterprise. We analyzed the development level of digitization capabilities of business processes, illustrating the case of AO UOMP. Conclusions and Relevance. We introduced the concept of digital capabilities of an industrial enterprise and determined its composition. The article also presents our own set of indicators and technique for evaluating the said capabilities. Having tested the technique at AO UOMP, we revealed that corporate capabilities for creating and selling IT for business process digitization may lay the basis for one of business diversification lines. The findings may be useful for leaders and specialists of major industrial enterprises, representatives of the scientific community who study the digital transformation of the industrial sector.
Translated title of the contributionDigital capabilities of the industrial enterprise: Substance and methods
Original languageRussian
Pages (from-to)870-896
Number of pages27
JournalНациональные интересы: приоритеты и безопасность
Volume15
Issue number5(374)
DOIs
Publication statusPublished - 2019

    GRNTI

  • 06.00.00 ECONOMY AND ECONOMIC SCIENCES

    Level of Research Output

  • VAK List

ID: 10046178