Olivia Brown

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About

Olivia Brown is a leading voice at the intersection of organizational theory and emerging technologies, with her work fundamentally shaping how we understand generative artificial intelligence (GAI) in business and management. Her most influential contribution, the highly cited 2024 paper "Theory‐Driven Perspectives on Generative Artificial Intelligence in Business and Management" (98 citations), co-authored with Ren, Sarala, and Hibbert, provides a critical framework for navigating the dual currents of excitement and anxiety surrounding GAI. Rather than focusing solely on technical capabilities, Brown’s research emphasizes the theoretical lenses needed to comprehend how GAI reshapes organizational structures, decision-making, and stakeholder dynamics. Her work has become essential reading for scholars and practitioners seeking to move beyond hype toward rigorous, theory-informed analysis of AI’s transformative potential. With her insights already influencing early-stage discourse in this rapidly evolving field, Brown is establishing herself as a pivotal figure in bridging abstract theory with the pressing practical challenges of digital transformation. Her contributions are particularly valuable for students and researchers aiming to critically assess the organizational implications of generative technologies.