Ronan de Kervenoael

École Supérieure de Commerce de Rennes

Papers

4

Total Citations

611

H-Index

3

About

Ronan de Kervenoael is a prominent researcher whose work sits at the intersection of human-robot interaction, consumer behavior, and emerging digital technologies. His scholarship focuses particularly on how social robots and Social Internet of Things (SIoT) systems shape consumer experiences across hospitality, retail, and domestic contexts. De Kervenoael's most influential contribution, his 2019 study on human-robot interaction in hospitality services, has garnered an impressive 577 citations, establishing him as a leading voice in understanding how perceived value, empathy, and information sharing drive visitors' willingness to engage with social robots. Building on this foundation, his more recent investigations explore retail environments through the lens of the Computers Are Social Actors (CASA) paradigm, examining what motivates consumers to make repeat purchases when interacting with robotic systems. His work on smart kitchen robot appliances further extends this inquiry into everyday domestic life, probing how online communities perceive and share value around connected devices. Through a consistent methodological focus on consumer psychology and technology adoption, de Kervenoael's research offers both academics and industry practitioners a nuanced framework for designing more human-centered robotic and IoT-enabled service experiences.

Research Focus

Key Achievements

3
H-Index
4
Papers
611
Total Citations
153
Avg Citations/Paper
🏆 Most Cited Paper
Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots
577 citations · 2019
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: École Supérieure de Commerce de Rennes

Top Papers

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    Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots
    2 citations · 2020

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago