Daniel Gozman
Papers
1
Total Citations
43
H-Index
1
About
Dr. Daniel Gozman is a leading scholar at the intersection of information systems, emerging technologies, and organizational practice. His research primarily focuses on how organizations adopt, implement, and are influenced by cutting-edge automation technologies, with a particular emphasis on robotic process automation (RPA) and cognitive automation. Dr. Gozman’s major contribution lies in formalizing the “action principles approach,” a novel methodological framework that enables researchers to both investigate and actively influence the adoption of new information systems phenomena. His most-cited work, “Influencing information systems practice: The action principles approach applied to robotic process and cognitive automation” (2021, 43 citations), demonstrates this methodology by drawing on real-world RPA implementations, providing a powerful toolkit for scholars and practitioners alike. Beyond this, his work bridges the gap between theoretical rigor and practical impact, offering actionable insights for managing technological disruption. Dr. Gozman’s research is essential reading for anyone seeking to understand how intelligent automation reshapes business processes and how to guide that transformation effectively.
Research Focus
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Top Papers
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