Economic efficiency of digital technology application in energy companies: an analysis based on the Analytic Hierarchy Process
This article delves into the transformative power of digital technologies within the energy sector, examining the challenges facing traditional energy companies and their potential for sustainable growth. The article begins by outlining recent advances in digital technologies and their current applications in the energy industry, including smart grids, the Internet of Things (IoT), big data, and artificial intelligence (AI). The article then explores how these technologies can enhance operational efficiency, reduce costs, optimize resource allocation, and improve customer experiences for energy enterprises. It introduces a comprehensive evaluation framework based on the Analytic Hierarchy Process (AHP) that takes into account such factors as costs, benefits, risks, and implementation difficulties. By analyzing different digital solutions such as smart grids, distributed energy systems, data analytics, and integrated energy management, the article offers a strategic framework for businesses to select the most suitable digital technology path. Ultimately, the paper underscores the critical role of customized digital transformation strategies in driving energy sector innovation. It advocates for a nuanced understanding of each company's unique context when adopting digital technologies, emphasizing the importance of a tailored approach to achieve sustainable growth in the dynamic energy landscape.
Hao, Niu, Korchagina, E. V. (2024), “Economic efficiency of digital technology application in energy companies: an analysis based on the Analytic Hierarchy Process”, Research Result. Business and Service Technologies, 10 (2), pp. 175-184. DOI: 10.18413/2408-9346-2024-10-2-1-4
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