Daniel Belanche
Papers
9
Total Citations
2,811
H-Index
9
About
Daniel Belanche is a prominent researcher specializing in artificial intelligence, service robotics, and financial technology adoption, whose work has fundamentally shaped how scholars and practitioners understand human-robot interactions in service contexts. His landmark 2019 study on robo-advisor adoption in FinTech (775 citations) established a widely-used framework for understanding how customers embrace AI-driven financial services, while his equally influential theoretical framework on service robot implementation (652 citations) provided foundational scaffolding for an emerging field where marketing research had been critically underdeveloped. Belanche's empirical contributions are particularly noteworthy. His investigations into robot physical appearance and the Humanness-Value-Loyalty model (348 citations), service failure attributions involving robots (292 citations), and customer attitudes toward anthropomorphic robots have collectively moved the discipline from conceptual speculation toward rigorous evidence-based understanding. His research spans hospitality, tourism, and retail frontlines, consistently exploring the tension between cost efficiency and genuine service enhancement. With several papers exceeding 200 citations and a cumulative citation count surpassing 2,800, Belanche has demonstrated exceptional and sustained impact. His more recent work on automated social presence and psychological tensions in AI experiences signals his continued relevance as artificial intelligence becomes increasingly embedded in everyday consumer interactions.
Research Focus
Key Achievements
Top Papers
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- 2Service robot implementation: a theoretical framework and research agenda652 citations · 2019
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- 7How Smart Should a Service Robot Be?151 citations · 2022
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