Abstract

The relevance of conducting scientific research dedicated to the development of Information Technology (IT) management in industry is determined by the direct impacts that this field exerts on the global economy, enterprise productivity, competitiveness of national industries, and overall societal quality of life. The contemporary landscape is rich with compelling reasons for conducting scientific research in the field of IT management in industry. Taking into account the analysis of the role and classification of IT, there are grounds to assert that the development of IT management is a key factor in the modern industrial environment. IT not only allows enterprises to increase productivity and reduce costs but also makes them more competitive and ready for market challenges. It has been proven that IT in industry differs from other sectors in its focus on automation and control, the use of the Internet of Things for data collection, active utilization of analytics and artificial intelligence for decision-making, integration of production processes, and supply chain management. These substantiated characteristics help enterprises achieve greater efficiency and resilience. Additionally, IT in industry contributes to the realization of the concept of sustainable development, where enterprises can more effectively utilize resources and reduce environmental impact. This is an important aspect in the context of modern requirements for sustainability and environmental responsibility. It is argued that IT in industry can facilitate the transition to a circular economy, where enterprises minimize waste and maximize resource reuse. This can be achieved through the implementation of resource management systems and material recycling. Overall, IT in industry plays a significant role in achieving efficiency, sustainability, and competitiveness for enterprises in the modern world. The provided classification helps managers understand which specific IT solutions can be beneficial for particular tasks and contributes to better resource management and strategic decision-making in industrial enterprises.

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