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Cited by 267

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Humanlike robots as employees in the hotel industry: Thematic content analysis of online reviews

Yu, Chung-En·2020·Journal of Hospitality Marketing & Management

Abstract

The purpose of this study is to discover the public’s general perceptions of robots as frontline employees in the hotel industry based on YouTube online reviews. This study applied data mining techniques to the two most frequently viewed videos related to the employment of robots in hotels. Thematic content analysis was conducted based on the Godspeed dimensions. The findings suggest that potential users’ perceptions tend to be negative when it comes to any discussion of humanlike robots. However, people are more receptive towards robots with animated features. Finally, this study contributes to both theoretical and practical discussions on robots and their related modes of analyses. It raises potential problems in the Godspeed scale and uncanny valley theory, provides guidelines to hotels which intend to employ humanlike robots as frontline staff, and offers suggestions, such as promotional videos, to marketers.

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Crossref · 10.1080/19368623.2019.1592733

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Metadata

Authors
Yu, C.-E.
Venue
Journal of Hospitality Marketing & Management
Published
2019-03-23
Volume
29
Issue
1
Pages
22-38
ISSN
  • 1936-8623 (ISSN-L)
  • 1936-8631
OpenAlex
W2948937301
Cited by
267
References
9
FWCI
15.31
Type
journal article
Language
en
Open access
closed

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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.