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I can be myself: robots reduce social discomfort in hospitality service encounters

Jingyu Liu (School of Tourism and Geography Science, Qingdao University, Qingdao, China)
Lingxu Zhou (School of Business Administration, Zhongnan University of Economics and Law – Nanhu Campus, Wuhan, China)
Yibei Li (School of Business Administration, Zhongnan University of Economics and Law, Wuhan, China)

International Journal of Contemporary Hospitality Management

ISSN: 0959-6119

Article publication date: 4 July 2023

Issue publication date: 29 April 2024

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Abstract

Purpose

The purpose of this study is to evaluate service robots as an alternative service provider that can reduce customers’ social discomfort in hospitality service encounters. Specifically, the authors discuss when and in what scenarios service robots can alleviate such social discomfort and explain this effect from the perspective of dehumanization.

Design/methodology/approach

Following a social constructivist paradigm, the authors adopt a qualitative research design, gathering data through 21 semistructured interviews to explore why the presence of service employees causes customers’ social discomfort in hospitality service encounters and how service robots alleviate such discomfort.

Findings

This study’s results suggest that both the active and passive engagement of service employees are sources of customers’ social discomfort in hospitality service encounters; thus, adopting service robots can help reduce such discomfort in some scenarios. Customers’ differentiating behaviors, a downstream effect of social discomfort, are also addressed.

Practical implications

Service robots can reduce customers’ social discomfort in certain scenarios and influence their consumption behaviors. This finding offers actionable insights regarding the adoption of service robots in hospitality service encounters.

Originality/value

This research enhances the understanding of social discomfort in hospitality service encounters and expands the research on service robots. To the best of the authors’ knowledge, it is the first attempt to reveal the bright side of robots in service encounters from a dehumanization perspective.

Keywords

Acknowledgements

The authors acknowledge funding provided by the Research Program (DC2300000865) at Qingdao University and the Mingrun Alumni Foundation at Zhongnan University of Economics and Law.

Citation

Liu, J., Zhou, L. and Li, Y. (2024), "I can be myself: robots reduce social discomfort in hospitality service encounters", International Journal of Contemporary Hospitality Management, Vol. 36 No. 6, pp. 1798-1815. https://doi.org/10.1108/IJCHM-01-2023-0004

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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