emanagE-ManagementE-Management2658-34452686-8407State University of Management10.26425/2658-3445-2026-9-2-4-22emanag-679Research ArticleЭЛЕКТРОННЫЙ МЕНЕДЖМЕНТ В ОТРАСЛЯХELECTRONIC MANAGEMENT IN VARIOUS FIELDSЦифровизация промышленной экосистемы: от продуктовой модели к сервиснойIndustrial ecosystem digitalization: from product to service modelhttps://orcid.org/0000-0002-5513-5020ПоповЕ. В.PopovE. V.

Попов Евгений Васильевич, Д-р экон. наук, д-р физ.-мат. наук, проф., член-корреспондент РАН, директор Центра социально-экономических исследований 

г. Екатеринбург

Evgeny V. Popov, Dr. Sci. (Econ.), Dr. Sci. (Phys. and Math.), Prof., Corresponding Member of the Russian Academy of Sciences, Director of the Center for Socio-Economic Research

Yekaterinburg

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

Зырянов Александр Сергеевич, Аспирант

г. Екатеринбург

Aleksandr S. Zyrianov, Postgraduate student

Yekaterinburg

zyrianov.info@gmail.comУральский институт управления Российская академия народного хозяйства и государственной службы при Президенте Российской ФедерацииРоссияUral Institute of Management RANEPARussian Federation20260810202692422Copyright © Попов Е.В., Зырянов А.С., 20262026Попов Е.В., Зырянов А.С.Popov E.V., 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://e-management.guu.ru/jour/article/view/679

Статья посвящена апробации методики интегральной оценки эффективности цифровой трансформации промышленного предприятия и ее сопряжению с диагностикой стадий эволюции бизнес-экосистемы. В основе работы лежит авторский интегральный индекс, объединяющий показатели экономической, операционной, технической, социальной и рыночной результативности.

Расчеты базируются на процедурах нормализации данных с учетом порога значимых изменений и применении метода анализа для определения весовых коэффициентов компонент. Эмпирическая проверка проведена на данных крупного электромашиностроительного завода за период 2022–2024 гг. Качественная диагностика стадии эволюции экосистемы реализована через рубрику «ворот», оценивающую структурные условия перехода от продуктовой к сервисной и платформенной моделям. По результатам исследования установлено повышение интегральной эффективности цифровизации при закономерном замедлении темпов роста на этапе высокой зрелости. Выявлено, что на зрелых стадиях рыночные и социальные результаты вносят более весомый вклад в общую динамику, чем прямые экономические показатели. По итогам диагностики предприятие позиционировано как развитая цифровая продуктовая экосистема, а высокая технологическая готовность ядра не обеспечивает автоматического перехода к сервисной модели без формирования внешних контуров данных и механизмов регулярной сервисной оркестровки.

Научная новизна исследования заключается в разработке подхода, позволяющего использовать количественные индикаторы эффективности как объективное свидетельство готовности предприятия к структурным эволюционным сдвигам. Практическая значимость работы обусловлена возможностью применения предложенного инструментария для выявления «узких мест» в программах цифровой трансформации и обоснования приоритетов развития бизнес-экосистем.

The article an empirical validation of an integrated methodology for evaluating the digitalization effectiveness of an industrial enterprise and links it with the diagnostic assessment of business ecosystem evolutionary stages. The study employs an integrated index (IIE) aggregating economic, operational, technical, social, and market performance indicators across five key domains.

The methodology incorporates data normalization procedures with a significance threshold parameter and the Analytic Hierarchy Process (AHP) for component weighting. The empirical base comprises data from a large electrical machinery plant covering the 2022–2024 period. Qualitative assessment of the ecosystem’s evolutionary stage is conducted through a diagnostic gates rubric that identifies structural conditions for transitions between product, service, and platform models. The analysis reveals steady growth in integrated digitalization effectiveness accompanied by a natural deceleration during the high-maturity phase; at advanced stages, market and social outcomes contribute more significantly to overall dynamics than direct economic indicators. Based on the diagnostic results, the enterprise is positioned as a developed digital product ecosystem, and high internal technological maturity does not guarantee a transition to a service model without establishing external data loops and regular service orchestration mechanisms.

The scientific originality lies in developing an approach that utilizes quantitative effectiveness indicators as objective evidence of an enterprise’s readiness for structural evolutionary shifts. The practical value of the study derives from the applicability of the proposed tools to identify bottlenecks in digital transformation programs and to justify development priorities for business ecosystems.

Цифровая трансформация промышленностиэффективность цифровизацииинтегральный индекспромышленная бизнес-экосистемаэволюция бизнес-экосистемдиагностическое позиционированиеуправление цифровизациейIndustrial digital transformationDigitalization effectivenessIntegrated indexIndustrial business ecosystemBusiness ecosystem evolutionDiagnostic positioningDigitalization managementProduct business ecosystemService business ecosystemИсследование выполнено за счет гранта Российского научного фонда и Правительства Свердловской области № 24-18-20036, https://rscf.ru/project/24-18-20036/The study was funded by a grant from the Russian Science Foundation and the Government of the Sverdlovsk Region, No. 24-18-20036, https://rscf.ru/project/24-18-20036/ReferencesПопов, Е. В. Эволюция бизнес-экосистем в промышленности - от классического типа к цифровым / Е. В. Попов, В. Л. Симонова, А. С. 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The authors declare that there are no conflicts of interest present.