Paul Hibbert

Papers

Total Citations

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About

Paul Hibbert is a distinguished scholar whose research bridges strategic management, organizational learning, and the evolving role of technology in business. His work is characterized by a deep engagement with theory-driven perspectives, most notably in his highly cited 2024 paper, "Theory‐Driven Perspectives on Generative Artificial Intelligence in Business and Management" (98 citations), co-authored with Shuang Ren and Riikka M. Sarala. This seminal piece navigates the complex interplay of enthusiasm and anxiety surrounding generative AI, offering a nuanced framework for understanding its transformative potential in management contexts. Beyond this, Hibbert has made significant contributions to the study of collaborative strategy, reflexivity, and practice-based learning, often exploring how organizations adapt through dynamic capabilities and shared meaning-making. His impact is reflected in a sustained record of citations across his portfolio, with his work informing both academic discourse and practical approaches to strategic change. A Fellow of the British Academy of Management, Hibbert’s research is notable for its methodological rigor and its ability to anticipate critical shifts in the business landscape, making him a vital voice for students and researchers navigating the intersection of theory, practice, and emerging technologies.