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About

Shengnan Han is a researcher whose work spans the intersecting domains of automation technology, artificial intelligence, and human-robot interaction, with a particular focus on how these innovations reshape organizational processes and service delivery. Her scholarship has made meaningful contributions to our understanding of Robotic Process Automation (RPA), examining it not merely as a technical tool but as a strategic capability that can enhance routine organizational functions. Her 2020 literature review reconceptualized RPA as a "routine capability," offering a broader theoretical lens that has since garnered 12 citations and influenced subsequent organizational research. Building on this foundation, her studies on RPA adoption in Sweden's public sector — drawing on both survey and case survey methodologies — provide rare empirical insights into how government institutions navigate automation challenges. More recently, Han has expanded her scope to humanoid social robots, exploring how anthropomorphic features drive user satisfaction in service environments like hospitality. This 2024 study, already accumulating 16 citations, signals her growing influence in the human-robot interaction field. Collectively, her work bridges information systems, public administration, and emerging AI technologies, making her a valuable voice for researchers and practitioners navigating the future of automated services.