Artificial intelligence (AI) - Application to the problem of evaluation of digital transformation capabilities of enterprises


  • Nguyen Thi Thanh Huong
  • Tran Quang Huy


Machine learning, Digital transformation capabilities, Enterprises


We are currently living in the era of digital transformation, amidst the Fourth Industrial Revolution, where the development of information is progressing like a storm. Corporations and enterprises can no longer exploit sustainable competitive advantages solely by applying technology to tangible assets. Instead, leveraging and mobilizing intangible assets are becoming increasingly decisive factors. Digital transformation is an inevitable trend that contributes to promoting economic growth, enhancing labor productivity, competitiveness, production and business efficiency, reducing product costs, streamlining administrative procedures, saving time, and reducing costs for enterprises. To assess the digital transformation capabilities of enterprises, traditional measures based on financial indicators are no longer sufficiently robust and appropriate for accurately controlling and evaluating the business effectiveness of enterprises in this new situation. Enterprises need a new tool that can use artificial intelligence (AI) to provide a balanced view of all influencing qualitative factors and identify the decisive capability parameters within a business more appropriately and intelligently. This article provides an overview of viewpoints on digital transformation and digital transformation capabilities of enterprises, factors influencing digital transformation capabilities, and research on the application of machine learning algorithms based on ontology language and fuzzy logic to assess the digital transformation capabilities of enterprises.

Code: 24020101


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How to Cite

Nguyen Thi Thanh Huong, & Tran Quang Huy. (2024). Artificial intelligence (AI) - Application to the problem of evaluation of digital transformation capabilities of enterprises. Journal SCIENCE AND TECHNOLOGY POLICIES AND MANAGEMENT, 13(1), 34–45. Retrieved from