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Over the years, AI management has attracted significant interest from researchers rooted in diverse disciplines, including information systems, computer science, strategy, and economics.Despite scholars in these fields addressing many similar research questions and empirical contexts, often applying similar methodologies, the literature has largely developed in an isolated fashion. Moreover, AI’s anticipated trajectory has often been painted in deeply optimistic or pessimistic terms. This article offers a systematic review of the AI management literature, based on analysis of a sample of articles published between 2010 and 2021. The review contributes by: documenting the literature’s evolution, outlining four key research themes in the literature, and highlighting several areas for future research. The aim is to foster broader understanding of AI management research that helps to advance our knowledge of AI and its management beyond dystopian nightmares and utopian dreams.



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