Veröffentlichungen von Vanessa Fischer

Organizations’ rapid adoption of third-party AI platforms has created governance challenges that existing frameworks do not yet adequately address. Unlike traditional IT vendors, AI platforms combine algorithmic opacity, rapid technological change, and concentrated market power, creating novel dependencies that violate a core assumption of established governance frameworks: that organizations control their technology infrastructure. To address this gap, this paper conceptualizes the Platform Liaison Role—a dedicated governance mechanism that bridges organizational AI strategy with third-party platform operations. Drawing on IT Governance Theory, Resource Dependence Theory, and Agency Theory, we specify three core mechanisms (communication routines, policy translation, and joint risk management), antecedents, boundary conditions, and mediation pathways for this role. Through theoretical derivation, we present five testable research propositions and implementation guidance. This paper extends governance frameworks to address external AI platform dependencies and provides practitioners with actionable guidance for establishing effective AI platform governance.

Artificial intelligence (AI) has reached many organizations. First engagement and im-plementation with its technologies have started. While some organizations demonstrate its value-adding utilization, others are still in early stages and face challenges. The management of AI goes beyond the technology itself and forces changes in the organiza-tions. This paper conducts a strategic literature review to answer the research question ‘How should organizations manage AI?’. 38 reviewed papers report about different, yet fragmented, research activities and findings related to the management of AI. To draw a holistic picture about the state of research, we organize the results along the manage-ment activities of planning and decision-making, organizing, guiding, and controlling AI systems in managerial practice. Thus, the paper contributes to both, research and practice, and outlines future research directions which are not covered, yet.