Adoption of Artificial Intelligence and Technology Management Practices: A Systematic Literature Review

Abstract

The development of artificial intelligence (AI) is driving organizations to adopt new technologies and to reimagine the technology management practices that underpin business operations and strategies. However, empirical studies examining the mutual relationship between AI adoption and technology management remain fragmented across two distinct research streams. This study aims to map, synthesize, and analyze the relationship between the two using a Systematic Literature Review (SLR) of 30 empirical articles published between 2022 and 2025. The results of the SLR show that the success of AI adoption is determined not only by technical factors and user acceptance but also by the effectiveness of technology management practices, including infrastructure readiness, human resource digital competence, data governance, and organizational strategy alignment. On the contrary, the application of AI has helped to reformulate the orientation and function of technology management, from information systems management to the management of algorithmic capabilities, ethical risks, and data-driven decision-making. This study makes a theoretical contribution by affirming the reciprocal relationship between AI and technology management and opening up space for the development of an integrated conceptual framework that explains the dynamics of both in the context of organizational transformation in the digital era.