Strategic Adoption of AI-Enabled Decision-Making Systems: Designing for Human Agency in Data-Driven Organizations

Artificial intelligence is increasingly embedded in organizational decision-making, reshaping how managers exercise discretion and responsibility. This doctoral research examines how AI-enabled decision systems affect human agency in data-driven organizations. It focuses on how technological design features, including transparency and override flexibility, interact with governance structures such as accountability and incentive systems. Using a sequential multi-phase design combining experiments and qualitative fieldwork, the study investigates both perceived and enacted managerial agency. The intended contribution is an Information Systems framework explaining when AI supports human augmentation and when it produces functional substitution. The research aims to inform the design of responsible sociotechnical systems that preserve meaningful human involvement while retaining the efficiency benefits of AI-enabled decision support.