INDUSTRY RESOURCE EFFICIENCY DRIVERS IN THE DIGITAL ECONOMY

Abstract

The aim of this research was to investigate the drivers of resource efficiency in the industry within the context of the digital economy. The study employed a mixed-methods approach, combining quantitative and qualitative research methods. Quantitative data were collected through surveys and data analysis, providing numerical insights into the impact of digital technologies on resource efficiency in various industries. Qualitative methods, such as interviews and case studies, were utilized to gain a deeper understanding of the underlying mechanisms and specific strategies implemented by companies to enhance resource efficiency. One notable finding of the research was the significant positive correlation between the adoption of digital technologies and improvements in resource efficiency across diverse industrial sectors. The study revealed that technologies such as the Internet of Things (IoT), artificial intelligence, and data analytics played pivotal roles in optimizing resource use, reducing waste, and enhancing overall operational efficiency. The conclusion drawn from the research is that the integration of digital technologies into industrial processes is a key driver for resource efficiency. It not only improves the environmental sustainability of industries but also contributes to cost savings and competitiveness. The transformative impact of the digital economy on resource management underscores the importance of continued technological innovation and strategic adoption by businesses to achieve sustainable and efficient industrial practices.

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01 October 2024

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European Publisher

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Bisultanov, A., & Timur, A. (2024). INDUSTRY RESOURCE EFFICIENCY DRIVERS IN THE DIGITAL ECONOMY. In M. R. Nakhaev, A. S. Salamova, A. Wojdilo, V. Ricardo, & V. Micale (Eds.), Proofreading - Upcoming Volume: Modern Trends in Governance and Sustainable Development of Socio-economic Systems: From Regional Development to Global Economic Growth, vol -. European Proceedings of Multidisciplinary Sciences (pp. 0-0). European Publisher. https://doi.org/10.15405/epms.2024.09.19