Artificial Intelligence (AI) adoption poses complex, multidimensional challenges for organizations that extend beyond technical implementation.While strategic interest in AI is rising, many initiatives struggle to scale sustainably.This paper addresses the fragmented state of AI adoption research by offering a theory-driven synthesis of the key management challenges organizations face.Based on a systematic literature review and grounded in the socio-technical systems (STS) perspective, the study identifies challenges across technological, organizational, and social domains-such as data governance, organizational inertia, skill shortages, and ethical ambiguity-as mutually reinforcing.The resulting framework highlights the systemic entanglement of these barriers, underscoring the limits of isolated interventions.This study contributes to Information Systems (IS) research by conceptualizing AI adoption as a socio-technical transformation and providing an integrative typology of adoption challenges.The findings offer a foundation for future empirical research and guide strategic decision-makers in navigating the organizational complexity of AI integration.

Nowadays, organizations must invest strategically in information technology (IT) and choose the right digital initiatives to maximize their benefit.Nevertheless, Chief Information Officers still struggle to communicate IT costs and demonstrate the business value of IT.The goal of this paper is to support their effective communication.In focus groups, we analyzed how different stakeholders perceive IT costs and the business value of IT as the basis of communication.We identified 16 success factors to establish effective communication.Hence, this paper enables a better understanding of the perception and the operationalization of effective communication.