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Cited by 376

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Marketing robot services in hospitality and tourism: the role of anthropomorphism

Murphy, Jamie, Gretzel, Ulrike, Pesonen, Juho·2019·Journal of Travel & Tourism Marketing

Abstract

Humanoid robots should play an increasing role in hospitality and tourism services. Anthropomorphic – human like – characteristics seem critical component to consumers accepting robotic service (rService). This conceptual manuscript advances rService research by drawing on services marketing, Human Robot Interaction (HRI) and the Uncanny Valley Theory to explore anthropomorphic characteristics’ range, role and impact on rService experiences. The paper proposes eleven robot capabilities that influence anthropomorphism and consequently shape HRI, three Uncanny Valley marketing outcomes, theoretical concepts, and a rich future research agenda. Hospitality and tourism literature and examples highlight the service context’s importance when researching, adopting, implementing and marketing rServices.

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Registry

Crossref · 10.1080/10548408.2019.1571983

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Metadata

Authors
Murphy, J., Gretzel, U., & Pesonen, J.
Venue
Journal of Travel & Tourism Marketing
Published
2019-02-13
Volume
36
Issue
7
Pages
784-795
ISSN
  • 1054-8408 (ISSN-L)
  • 1540-7306
OpenAlex
W2912861911
Cited by
376
References
12
FWCI
20.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Marketing robot services in hospitality and tourism: the role of anthropomorphism. https://app.cochat.ai/papers/10.1080/10548408.2019.1571983
The paper
Murphy, J., Gretzel, U., & Pesonen, J. (2019). Marketing robot services in hospitality and tourism: the role of anthropomorphism. Journal of Travel & Tourism Marketing. https://doi.org/10.1080/10548408.2019.1571983

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.