Alexandre Schwob

Excelia Business School

Papers

3

Total Citations

608

H-Index

2

About

Alexandre Schwob is a researcher whose work sits at the dynamic intersection of human-robot interaction, consumer behavior, and service technology. His scholarship focuses on how social robots and intelligent systems reshape customer experiences across hospitality and retail environments, exploring the psychological and behavioral dimensions that drive technology adoption. Schwob's most influential contribution examines how perceived value, empathy, and information sharing influence visitors' willingness to engage with social robots in hospitality settings — a paper that has garnered an remarkable 577 citations, establishing him as a significant voice in the emerging field of service robotics. This work provided one of the first comprehensive frameworks for understanding the emotional and cognitive factors mediating human-robot relationships in commercial contexts. More recently, Schwob has extended his inquiry into retail environments, applying the Computers Are Social Actors (CASA) paradigm to unpack what drives repeat purchase intentions when consumers interact with Social Internet of Things (SIoT) robots. This research demonstrates his commitment to evolving his theoretical toolkit alongside rapidly advancing technology. Overall, his body of work offers both scholars and industry practitioners valuable insights into designing robot-mediated service experiences that resonate meaningfully with consumers.

Research Focus

Key Achievements

2
H-Index
3
Papers
608
Total Citations
203
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: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Excelia Business School

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 · 13 days ago