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Original paper

UDC 004.942 © P.V. Simоnin1, S.A. Anokhin2, Yu.B. Nadtochiy1, A.A. Kuzmina3, E.A. Kostromina4, N.V. Kapustina1, O.T. Semchishina3, E.R. Mukharramova1, 2025

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2025, № 4, pp. 71-75

DOI: http://dx.doi.org/10.18796/0041-5790-2025-4-71-75

Title

A CONCEPTUAL MODEL OF INDUSTRY 5.0 DIGITAL ECOSYSTEM: CHALLENGES OF INTEGRATING MACHINE AND HUMAN INTELLIGENCE

Authors

P.V. Simоnin1, S.A. Anokhin2, Yu.B. Nadtochiy1, A.A. Kuzmina3, E.A. Kostromina4, N.V. Kapustina1, O.T. Semchishina3, E.R. Mukharramova1

Authors Information

Simоnin P.V. – PhD (Economic), Associate Professor, Associate Professor of the Department of Operations and Industry Management, Higher School of Management, Financial University under the Government of the Russian Federation, Moscow, 125167, Russian Federation, e-mail: pvsimonin@fa.ru, simoninp-v@mail.ru

Anokhin S.A. – Doctor of Economic sciences, Associate Professor, Professor of the Department of Management and Management of Agricultural, State University of Land Use Planning, e-mail: asa70.70@yandex.ru

Nadtochiy Yu.B. – PhD (Pedagogical), Associate Professor, Associate Professor of Department of Strategic and Innovative Development of the Faculty ?Higher School of Management?, Financial University under the Government of the Russian Federation, Moscow, 125167, Russian Federation, e-mail: Yflnjxbq-7e@yandex.ru

Kuzmina A.A. – PhD (Economic), Associate Professor, Associate Professor of the Department of Economic, National University of Science and Technology MISIS (NUST MISIS), Moscow, 119049, Russian Federation, e-mail: kuzmina.aa@misis.ru

Kostromina E.A. – PhD (Philological), Associate Professor, Head of the Department of Management and Marketing, Witte Moscow University, Branch in Sergiev Posad, Sergiev Posad, 141303, Russian Federation, e-mail: ea_kostromina@mail.ru

Kapustina N.V. – Doctor of Economic Sciences, Professor of the Department of Economic Security and Risk Management, Faculty of Economics and Business, Financial University under the Government of the Russian Federation, Moscow, 125167, Russian Federation, e-mail: NVKapustina@fa.ru

Semchishina O.T. – PhD (Economic), Associate Professor, Associate Professor of the Department of Economic, National University of Science and Technology MISIS (NUST MISIS), Moscow, 119049, Russian Federation, e-mail: olship@inbox.ru

Mukharramova E.R. – PhD (Economic), Associate Professor, Associate Professor of the Department of General and Project Management, Higher School of Management, Financial University under the Government of the Russian Federation, Moscow, 125167, Russian Federation, e-mail: emrra@yandex.ru

Abstract

It has been established that integration of the human and machine intelligence is part of the neuro-digital ecosystem. The process of forming metacognitive interaction between humans and robots requires enhanced use of artificial and human intelligence. Designing technological processes with participation of industrial robots and cobots makes it possible to solve the challenge of manpower shortage, perform complex routine tasks and helps to reduce the workload on personnel, which contributes to the increase of overall organizational productivity. The authors propose to use a conceptual model of neuro-digital industrial ecosystem in the context of Industry 5.0, which meets the modern needs of the industry. The research justifies the prospects of integrating the neuro-digital and HR ecosystems, developing cyber-social meta-ecosystems, collaborative processes, strengthening the integration of the information technology, strategic initiatives and HR policy.

Keywords

Neuro-digital ecosystem, Industry 5.0, industrial robots, cobots, collaborative skills, strategies, HR policies.

References

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For citation

Simоnin P.V., Anokhin S.A., Nadtochiy Yu.B., Kuzmina A.A., Kostromina E.A., Kapustina N.V., Semchishina O.T., Mukharramova E.R. A conceptual model of Industry 5.0 digital ecosystem: challenges of integrating machine and human intelligence. Ugol’. 2025;(4):71-75. (In Russ.). DOI: 10.18796/0041-5790-2025-4-71-75.

Paper Info

Received January 17, 2025

Reviewed February 28, 2025

Accepted March 25, 2025

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