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Embracing sustainable diversity climates in hospitality and tourism: insights from prospective employees on human–robot collaboration

Lookup NU author(s): Professor Stuart Barnes

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

As service robots increasingly collaborate with human employees in hospitality and tourism, understanding their complex interactions is crucial. This study explores prospective hospitality employees’ perceptions of sustainable diversity climates involving human–robot collaboration using the Modified Model of Goal-Directed Behavior (MMGB). A research model integrating attitude, subjective norms, expectancy, perceived behavioral control, and desire was tested through an online survey of 492 potential US hospitality employees. Generalized Linear Modeling and fuzzy-set Qualitative Comparative Analysis were applied to find solutions for better diversity climates. Results show that these factors influence sustainable-behavioral intentions,differing according to groups of sustainable development goals (SDGs). Three SDG groups (efficient allocation, fair distribution, and sustainable scale) were found to have distinctiveness and similarities. Our findings suggest that communicating MMGB’s initiatives, fostering innovation, and tailoring recruitment strategies to sustainability-oriented segments are key to cultivating inclusive, future-oriented workplaces.

Publication metadata

Author(s): Kim MJ, Barnes SJ, Kang SE

Publication type: Article

Publication status: Published

Journal: Journal of Sustainable Tourism

Year: 2025

Volume: 33

Issue: 5

Pages: 801-821

Online publication date: 11/02/2025

Acceptance date: 21/01/2025

Date deposited: 12/02/2025

ISSN (print): 0966-9582

ISSN (electronic): 1747-7646

Publisher: Routledge

URL: https://doi.org/10.1080/09669582.2025.2459628

DOI: 10.1080/09669582.2025.2459628

ePrints DOI: 10.57711/ar19-pr18

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