Stefan Morana

Papers

Total Citations

H-Index

About

Stefan Morana is a leading scholar in the fields of human–robot collaboration, technology acceptance, and digital transformation, with a particular focus on the future of work in intelligent environments. His research bridges the gap between behavioral information systems and robotics, exploring how humans interact with and adopt autonomous systems in complex, real-world settings. Morana’s most-cited work, “Picking with a robot colleague: A systematic literature review and evaluation of technology acceptance in human–robot collaborative warehouses” (2023, 98 citations), provides a foundational framework for understanding worker trust and system usability in automated logistics. This contribution is widely recognized for synthesizing decades of technology acceptance research with emerging robotics applications, offering actionable insights for both practitioners and academics. Beyond this, Morana has made notable contributions to the design of persuasive technologies and decision support systems, often emphasizing user-centric design and ethical considerations. His work has been published in top-tier journals and conferences, earning him a reputation as a thought leader in human-centered automation. For students and researchers, Morana’s research offers a critical lens on how to design collaborative technologies that are not only efficient but also accepted and trusted by their human counterparts.