Sebastian Dax

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About

Sebastian Dax is a leading researcher in the field of Robotic Process Automation (RPA), with a primary focus on the critical human factors that determine automation success. His most influential work, "A User Acceptance Model for Robotic Process Automation" (2020, 35 citations), addresses a pivotal gap in the literature: while RPA promises to relieve employees from tedious tasks, its adoption hinges on user acceptance. Dax’s model identifies and empirically tests the key variables—such as perceived usefulness, ease of use, and trust—that shape employee willingness to embrace software bots. This contribution provides organizations with a practical framework for managing the socio-technical transition to automation, moving beyond purely technical implementation. By centering the user experience, Dax’s research underscores that the success of RPA initiatives depends as much on human readiness as on algorithmic efficiency. His work is essential reading for practitioners and scholars alike, offering actionable insights for designing change management strategies that foster acceptance and maximize the return on automation investments.