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About

Angsana A. Techatassanasoontorn is a leading researcher in the domain of digital transformation and workplace automation, with a particular focus on Robotic Process Automation (RPA) and its human and organizational dimensions. Her work sits at the intersection of information systems, organizational behavior, and socio-technical theory, exploring how emerging digital technologies reshape work, identity, and employee experience. Techatassanasoontorn's most influential contributions examine how employees make sense of software robots entering their workplaces. Her 2023 study on metaphorical sensemaking — already garnering 19 citations — offers a nuanced theoretical lens for understanding how people interpret and respond to the ambiguous nature of RPA. Complementing this, her 2022 configuration theory paper (11 citations) maps the diverse ways employees perceive and react to automation, providing organizations with actionable frameworks for managing technological change. Her more recent 2025 process study advances a socio-technical perspective, theorizing RPA adoption as a dynamic, unfolding transformation rather than a discrete event. Collectively, her research makes a significant contribution to helping organizations navigate the human side of automation thoughtfully, making her work essential reading for scholars and practitioners engaged with the future of digital work.