STRATEGIES FOR MODERNIZING OPERATIONS MANAGEMENT IN THE CONDITIONS OF DIGITAL TRANSFORMATION

Article Sidebar

PDF (Uzbek (latin))
Issue: Vol. 5 No. 9 : Eurasian Journal of Academic Research
Section: Articles
Published:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Main Article Content

Oʻzbekiston Respublikasi Vazirlar Mahkamasi huzuridagi Biznes va tadbirkorlik oliy maktabining bosh yuriskonsulti
info@in-academy.uz

Abstract:

The article studies the strategic directions of modernizing operations management in the conditions of digital transformation. The research process used the method of literature analysis and comparison, analyzed scientific sources published in 2018-2025, as well as practical experience of large international corporations. As a result, strategies for optimizing operational processes based on IoT, Big Data, artificial intelligence, cloud systems and robotics were developed. In addition, along with the advantages of digital transformation, the large volume of investment, the lack of qualified personnel and cybersecurity problems were identified. At the end of the article, recommendations were given for enterprises to retrain employees, develop sustainable digital transformation strategies and fully digitize the supply chain.

Keywords:

Article Details

How to Cite:

Atajanov , A. . (2025). STRATEGIES FOR MODERNIZING OPERATIONS MANAGEMENT IN THE CONDITIONS OF DIGITAL TRANSFORMATION. Eurasian Journal of Academic Research, 5(9), 30–38. Retrieved from https://www.in-academy.uz/index.php/ejar/article/view/59615

References:

Schwab, K. (2017). The Fourth Industrial Revolution. World Economic Forum.

McKinsey & Company. (2022). The future of operations: Digital transformation and AI adoption.

Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. National Academy of Science and Engineering, Germany.

Porter, M. E., & Heppelmann, J. E. (2015). How smart, connected products are transforming companies. Harvard Business Review.

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365.

Toyota Motor Corporation. (2021). Sustainability & Operations Report.

Amazon Inc. (2022). Global Operations and Logistics Strategy Report.

Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for Industrie 4.0 scenarios. Proceedings of HICSS.

Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age. W.W. Norton & Company.

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.

Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technologies on supply chain disruption risk management. International Journal of Production Research, 57(3), 829-846.

Sheffi, Y. (2005). The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage. MIT Press.

Grieves, M. (2014). Digital Twin: Manufacturing excellence through virtual factory replication. White Paper, Florida Institute of Technology.

Lee, J., Bagheri, B., & Kao, H. A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23.

Kotter, J. P. (1996). Leading Change. Harvard Business Review Press.