Artificial intelligence (AI) is reshaping the business world in ways that enable organizations to create business value and reinvent their business models. Despite the great potential, organizations have difficulties in moving beyond the pilot stage and fully adopting AI applications. To better understand how organizations can implement AI into their core practices, we examine the impact of organizational readiness factors along the adoption process of AI through a quantitative research design. By integrating the organizational readiness factors into the multi-stage adoption process of AI, we unpack the interdependencies between these two literature streams. Due to the multi-faceted nature of organizations, we investigate the differentiating and opposing effects of the organizational readiness factors on the initiation, adoption, and routinization stages of AI.
Eitle, Verena; Zöll, Anne; and Buxmann, Peter, "Organizational Readiness Concept for AI: A Quantitative Analysis of a Multi-stage Adoption Process from the Perspective of Data Scientists" (2022). ECIS 2022 Research Papers. 30.
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