Abstract

Adapting to the digital age is essential for organizational competitiveness, with artificial intelligence (AI) emerging as a key enabler in driving digital transformation (DT). However, there is a knowledge gap in the research that narrowly evaluates AI’s technical applications while insufficiently addressing its integration with organizational structures and processes. The study investigates the changes in organizational structures and processes enabled by artificial intelligence for driving digital transformation. A systematic literature review was conducted using the PRISMA framework on relevant databases with publications that focus on AI and digital transformation, like Scopus, Web of Science, IEEE Xplore, and AIS eLibrary. Content analysis was used as a data analysis method, and in the 48 identified studies, 15 specific changes were identified that are enabled by artificial intelligence for driving digital transformation. The most common structural changes include organizational redesign, human-AI collaboration, and team restructuring, while the most common process changes focus on data-driven decision-making, operational efficiency, and automation. The findings of this study provide an integrated theoretical perspective that could help both scholars and practitioners understand AI-enabled changes in organizational structures and processes for driving DT.

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