I am a strategy and organization scholar examining how artificial intelligence reshapes firm strategy, organizational design, and decision-making under conditions of digital complexity. My research investigates how organizations develop AI capabilities, integrate algorithmic systems into core processes, and adapt structures and authority when strategic action becomes increasingly data-driven and computationally mediated.

Theoretically, my work contributes to research on digital strategy, organizational adaptation, and capability development. I analyze how algorithmic infrastructures reconfigure coordination, shift decision rights, and transform the micro-foundations of strategic action. In particular, I study how algorithmic decision systems interact with managerial judgment, how information architectures shape strategic outcomes, and how organizations govern AI-enabled systems in regulated environments.

Beyond empirical analysis, I develop conceptual frameworks, analytical metrics, and computational measurement approaches to capture complex organizational dynamics in algorithmically mediated contexts. My goal is to advance theory and measurement in the study of digital transformation and AI-enabled organizational change.

Empirically, I draw on data from digital platforms, public-sector institutions, and technology-intensive organizations. Methodologically, I combine computational, quantitative, and qualitative approaches — including large-scale text analysis, network methods, and experimental designs — to identify how communication structures and algorithmic architectures influence strategic behavior and performance.

Core Research Areas

• Digital Strategy & AI-Enabled Competitive Dynamics
• Organizational Adaptation to Algorithmic Systems
• AI Capability Development & Strategic Renewal
• Governance of Digital Infrastructures
• Micro-Foundations of Algorithmic Decision-Making
• Organizational Design in Regulated Environments
• Network and Socio-Technical Systems Analysis