Subject. Considering the use of traditional business models, the digital transformation becomes a cornerstone for industrial enterprises to remain competitive and survive in the market. Therefore, it is important to identify factors making the integration of digital technologies into operations more effective. Objectives. We analyze how digital technologies influence the performance of industrial enterprises. We also identify what improves corporate operations, and choose digital transformation metrics. Methods. The study relies upon methods of the logic and systems analysis, multivariate optimization. Results. The article sorts contemporary challenges to the corporate competitiveness due to the emergence of digital technologies. We discover factors that spur the performance of industrial enterprises in the digital economy. We suggest using a comprehensive metric to gauge the efficiency of digital technologies integrated into the enterprise's operations. Conclusions and Relevance. Digital technologies are not supposed to penetrate every sector. Furthermore, to effectively integrate them, the company should at least have the digital culture and employees who have basic digital competencies. If enterprises have low capabilities for perceiving new technologies, the priority development may turn to be hard for them in those sectors where digital technologies and knowledge are most important. The single indicator is not enough to gauge whether digital technologies have been effectively implemented. The comprehensive indicator seems more promising, since it accounts for indirect effects, rather than direct effects on the performance.
Keywords: digital transformation, digital technology, competitiveness, performance, productivity
References:
Schwab K. Tekhnologii Chetvertoi promyshlennoi revolyutsii [Shaping the Fourth Industrial Revolution]. Moscow, Eksmo Publ., 2018, 320 p.
Tarasov I.V., Popov N.A. [Industry 4.0: Production factories transformation]. Strategicheskie resheniya i risk-menedzhment = Strategic Decisions and Risk Management, 2018, no. 3, pp. 38–53. (In Russ.) URL: Link
Bat'kovskii A.M., Kalachikhin P.A., Tel'nov Yu.F., Khrustalev E.Yu. [Business process re-engineering at enterprises of the military-industrial complex during the diversification]. Natsional'nye interesy: prioritety i bezopasnost' = National Interests: Priorities and Security, 2019, vol. 15, iss. 10, pp. 1788–1801. (In Russ.) URL: Link
Bendikov M.A. [Public-private partnership as a mechanism for the development of innovation infrastructure]. Audit i finansovyi analiz = Audit and Financial Analysis, 2016, no. 1, pp. 357–366. (In Russ.)
Kitova O.V., Bruskin S.N. [Digital transformation of business]. Tsifrovaya ekonomika = Digital Economy, 2018, no. 1, pp. 20–25. (In Russ.)
Shirinkina E.V. [Features of functioning of industrial enterprises in the digital economy]. Ekonomika v promyshlennosti = Russian Journal of Industrial Economics, 2018, vol. 11, no. 2, pp. 143–150. (In Russ.)
Dneprovskaya N.V., Yankovskaya E.A., Shevtsova I.V. [The conceptual basis of the smart education]. Otkrytoe obrazovanie = Open Education, 2015, no. 6, pp. 43–51. (In Russ.)
Merkulina I.A. Teoreticheskie aspekty formirovaniya ponyatiya “tsifrovaya ekonomika”. In:Fundamental'nye i prikladnye voprosy effektivnogo predprinimatel'stva: novye resheniya, proekty, gipotezy [Theoretical aspects of the origination of the digital economy concept. In: Fundamental and applied issues of the effective entrepreneurship: New solutions, projects, hypotheses]. Moscow, Dashkov i K Publ., 2017, pp. 311–313.
Klochkov V.V. [The impact of digital economy technology on the industrial sector]. Drukerovskij vestnik, 2018, no. 2, pp. 59–67. (In Russ.) URL: Link
Autor D., Dorn D., Katz L. et al. Concentrating on the Fall of the Labor Share. AER Papers and Proceedings, 2017, vol. 107, no. 5, pp. 180–185. URL: Link
Urintsov A.I., Staroverova O.V., Sviridova E.S. [Perspective digital trends and their influence on the development of the digital economy]. Vestnik Moskovskogo universiteta MVD Rossii = Vestnik of Moscow University of Ministry of Internal Affairs of Russia, 2019, no. 4, pp. 268–272. URL: Link (In Russ.)
Koshovets O.B., Ganichev N.A. [Global digital transformation and its goals: Declarations, reality and a new growth mechanism]. Ekonomicheskaya nauka sovremennoi Rossii = Economics of Contemporary Russia, 2018, no. 4, pp. 126–143. (In Russ.)
Kovalenko B.B. [Digital transformation: Ways of creation of competitive advantages of business organizations]. Nauka i biznes: puti razvitiya = Science and Business: Ways of Development, 2017, no. 9, pp. 49–52. (In Russ.)
Dneprovskaya N.V. [Investigating the enterprise transition to digital economy]. Vestnik REU im. G.V. Plekhanova = Vestnik of Plekhanov Russian University of Economics, 2019, no. 4, pp. 54–65. URL: Link (In Russ.)
Nadtoka T.B., Matveev N.V. [Transformation of marketing activities of enterprises in the digital economy]. Vestnik Instituta ekonomicheskikh issledovanii = Vestnik of Institute of Economic Research, 2017, no. 4, pp. 70–77. URL: Link (In Russ.)
Calvino F., Criscuolo C., Marcolin L., Squicciarini M. A Taxonomy of Digital Intensive Sectors. OECD Science, Technology and Industry Working Papers, no. 2018/14. Paris, OECD Publishing, 2018. URL: Link
Trofimov O.V., Saakyan A.G. [Functioning of industrial enterprises under the conditions of the digital economy]. Fundamental'nye issledovaniya = Fundamental Research, 2018, no. 8, pp. 122–126. URL: Link (In Russ.)
Brynjolfsson E., Rock D., Syverson C. Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics. In: The Economics of Artificial Intelligence: An Agenda. University of Chicago Press, 2019, pp. 23–51.
Matt C., Hess T., Benlian A. Digital Transformation Strategies. Business and Information Systems Engineering, 2015, vol. 57, pp. 339–343. URL: Link
Khrustalev E.Yu. [Method of optimizing investment in the production infrastructure of scientific and high-tech enterprises under conditions of uncertainty and risk]. Audit i finansovyi analiz = Audit and Financial Analysis, 2018, no. 2, pp. 257–263. (In Russ.)