Jason Tang

Papers

Total Citations

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About

Jason Tang is a leading voice at the intersection of robotics, hospitality, and consumer experience. His research focuses on how emerging technologies—particularly service robots—are reshaping the quick-service restaurant (QSR) industry. Tang’s most influential work, “How To Build a Better Robot . . . for Quick-Service Restaurants” (2020, 77 citations), is a landmark qualitative study that used focus groups to capture diner perspectives on integrating robots into fast-food operations. This paper revealed critical insights into guest expectations, trust, and the social dynamics of human-robot interaction in dining settings, directly informing how hospitality firms design and deploy automation. Beyond this core contribution, Tang’s broader portfolio explores technology adoption, service innovation, and operational efficiency in hospitality. His work is widely cited by scholars in robotics, tourism, and management, bridging engineering and consumer behavior. Tang’s research has practical implications for industry leaders seeking to balance automation with guest satisfaction, making him a key figure in the ongoing conversation about the future of service work.