DATASET APPROACH TO MANAGEMENT INFORMATION SYSTEMS TO SUPPORT QUALITY AND AGILITY OF INDUSTRY 4.0 BUSINESSES

Yuldashev N.M. Dusbayev R.R. Shevyakova A.L. Petrenko Y.S.
2023 Faculty of Engineering, University of Kragujevac

Proceedings on Engineering Sciences
2023 #5 Issue S2 385 - 398 pp.

The research focuses on the scientific search for a solution to the problem associated with the imperfection of the existing approach to the management information systems in the business of Industry 4.0, expressed in the fact that this approach does not fully ensure the agility of the business and does not make it possible to fully disclose its potential in terms of improving product quality. The research aims to identify a perspective on improving the management information systems to support the quality and agility of Industry 4.0 business. Using international statistics for 2022, the authors developed an econometric model using regression analysis to explain the important role of management information systems in ensuring the quality and agility of Industry 4.0 business. Based on this model, the authors conclude that the use of big data and analytics and knowledge transfer has a strong positive impact on the agility of companies and cyber security, more than the impact of management professionalism. The authors also prove that the use of big data and analytics and knowledge transfer is determined not only by the professionalism of management but also by digital competencies. The theoretical significance of this research is that it revealed the prospect of improving the management information systems to support the quality and agility of Industry 4.0 business through the transition to a new dataset approach to this management. The practical significance of this research is expressed in the fact that the developed dataset approach to the management information systems in the business of Industry 4.0 will make it possible to overcome the gap in the technological provision of the management information systems and in the provision of quality and agility management of Industry 4.0 business.

Agility , Business Industry 4.0 , Dataset Approach , Information Systems Management , Management Information Systems , Quality , Russia

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Tashkent University of Economics and Technology, Tashkent, Uzbekistan
Tashkent Institute of Economics and Pedagogy, Tashkent, Uzbekistan
Bolashaq Academy, Kazakhstan
Plekhanov Russian University of Economics, Moscow, Russian Federation

Tashkent University of Economics and Technology
Tashkent Institute of Economics and Pedagogy
Bolashaq Academy
Plekhanov Russian University of Economics

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