Abstract

The business value of Artificial Intelligence (AI) is a prominent topic in Information Systems (IS) literature. As our knowledge around it becomes more nuanced, the intricacies of the relational aspects and their effects to value creation and capture become observable, particularly in interorganizational settings. This study sheds light on these aspects, by examining the factors that lead to value creation in partnerships around AI, but also the factors that impede value creation and capture. It follows a qualitative meta-analysis approach, drawing from the relational view on value creation. The study is founded on 20 empirical studies on AI business value and identifies the relational factors that are discussed as prominent when it comes to value creation and capture. The study informs both IS research and practice, by pointing to relevant factors that are influential, but also to factors not extensively discussed yet, thus providing a research agenda for future research.

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