ecnaЭкономика наукиEconomics of Science2410-132X2949-4680Delo Publishing houseOBDLZHecna-640Research ArticleЭКОНОМИКА ЗНАНИЙ И ТЕХНОЛОГИЙKNOWLEDGE ECONOMYИнтегральный индекс эффективности цифровизации в системе анализа развития бизнес-экосистемыIntegral index of digitalization efficiency in the system of analyzing business ecosystem developmenthttps://orcid.org/0000-0002-5513-5020ПоповЕ. В.PopovE. V.

Попов Евгений Васильевич – доктор экономических наук, доктор физико-математических наук, профессор,член-корреспондент РАН, директор Центра социально-экономических исследований 

Scopus Author ID: 24822113400, WoS Researcher ID: H-3358-2015620144, Екатеринбург, ул. 8 Марта, д. 66 

Evgeny V. Popov – Doctor of Economic Sciences, Doctor of Physical and Mathematical Sciences, Professor, Corresponding Member of the Russian Academy of Sciences, Director of the Center for Socio-Economic Research

Scopus Author ID: 24822113400, WoS ResearcherID: H-3358-2015

66, 8 Marta St., Yekaterinburg, 620144

epopov@mail.ruhttps://orcid.org/0000-0003-2814-464XСимоноваВ. Л.SimonovaV. L.

Симонова Виктория Львовна – кандидат экономических наук, заместитель директора Центра социально-экономических исследований

WoS Researcher ID: j-7050–2017 

620144, Екатеринбург, ул. 8 Марта, д. 66

Victoria L. Simonova – Candidate of Economic Sciences, Deputy Director of the Center for Socio-Economic Research

 WoS Researcher ID: j-7050-2017

66, 8 Marta St., Yekaterinburg, 620144

simonova4@yandex.ruhttps://orcid.org/0009-0002-2015-6742ЗыряновА. С.ZyrianovA. S.

Зырянов Александр Сергеевич – аспирант

 WoS Researcher ID: LEL-8920-2024

620144, Екатеринбург, ул. 8 Марта, д. 66

Aleksandr S. Zyrianov – Postgraduate student

WoS Researcher ID: LEL-8920–2024

66, 8 Marta St., Yekaterinburg, 620144

zyrianov.info@gmail.comУральский институт управления филиал РАНХиГСUral Institute of Management RANEPA20262903202612186105Copyright © Попов Е.В., Симонова В.Л., Зырянов А.С., 20262026Попов Е.В., Симонова В.Л., Зырянов А.С.Popov E.V., Simonova V.L., Zyrianov A.S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ecna.elpub.ru/jour/article/view/640

В условиях ускоряющейся цифровой трансформации обрабатывающего промышленного сектора российской экономики сохраняется методологический разрыв в понимании влияния цифровизации на эффективность деятельности предприятий и бизнес-экосистем. Цель исследования – разработка методического аппарата интегральной оценки эффективности цифровизации (распространения и применения цифровых технологий) по ядру промышленной экосистемы с учетом совокупных экономических, операционных, технических, социальных и рыночных эффектов. Методологическую основу формируют положения системного и процессного подходов, концепции цифровой зрелости предприятий и управляемых бизнесэкосистем, а также принципы бережливого производства и цифрового менеджмента. Методическая база включает разработанный авторами количественный инструмент – интегральный индекс эффективности цифровизации (IIE), построенный с применением метода анализа иерархий, многокритериальной оценки (MCDA), нормализации и взвешенной аддитивной агрегации. Эмпирическая апробация инструмента выполнена на примере машиностроительного предприятия B2B-сегмента. Результаты показали устойчивый рост интегрального индекса, что свидетельствует о системном эффекте цифровизации и переходе компании от локальных улучшений к зрелой фазе цифровой экосистемы. В перспективе дальнейшие исследования могут быть направлены на развитие интегрального подхода в сторону повышения точности и прикладной применимости, что позволит трансформировать индекс из аналитического показателя в устойчивый инструмент управленческого принятия решений в условиях изменяющейся внешней среды. Обозначено ключевое ограничение методики, а именно то, что рост интегрального индекса цифровизации следует интерпретировать как результат совокупной трансформации деятельности предприятия, в рамках которой цифровизация является значимым, но не единственным фактором изменения наблюдаемых эффектов. 

In the context of the accelerating digital transformation of the manufacturing sector of the Russian economy, a methodological gap persists in understanding the impact of digitalization on the performance efficiency of enterprises and business ecosystems. The purpose of this study is to develop a methodological framework for the integrated assessment of digitalization efficiency (the diffusion and application of digital technologies) within the core of an industrial ecosystem by accounting for the combined economic, operational, technical, social, and market effects. The methodological foundation of the research is based on the principles of the systems and process approaches, the concepts of enterprise digital maturity and managed business ecosystems, as well as the principles of lean production and digital management. The methodological framework includes a quantitative tool developed by the authors – an integral digitalization efficiency index (IIE), constructed using the Analytic Hierarchy Process (AHP), multi-criteria decision analysis (MCDA), normalization procedures, and weighted additive aggregation. The empirical basis of the study is represented by a case study of a B2B engineering (machine-building) enterprise. The results demonstrate a stable growth of the integral index, indicating a systemic effect of digitalization and the company’s transition from localized improvements to a mature phase of a digital ecosystem. In future research, the integrated approach may be further developed toward greater accuracy and practical applicability, enabling the transformation of the index from an analytical indicator into a sustainable managerial decision-making tool under conditions of a changing external environment. At the same time, a key limitation of the methodology is identified: the growth of the integral digitalization index should be interpreted as the result of a comprehensive transformation of enterprise activities, within which digitalization represents a significant, but not the sole, factor influencing the observed effects. 

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The authors declare that there are no conflicts of interest present.