Empowering or overloading? How intelligent machine usage influences hotel employees’ proactive customer service behaviour

Purpose This study aims to examine when and how intelligent machine usage facilitates or inhibits employees’ proactive customer service behaviour (PCSB). Design/methodology/approach This study used a scenario-based experiment and two-wave survey to collect data from hotel employees in China. Findings The findings indicate that for employees with a growth mindset, intelligent machine usage enhances role efficacy, thereby promoting PCSB, whereas for employees with a fixed mindset, intelligent machine usage increases role overload, thereby inhibiting PCSB. Practical implications This study enhances hotel managers’ understanding of how intelligent machine usage affects employees and offers practical guidance for promoting employees’ PCSB in human–machine collaboration contexts. Originality/value Drawing on role theory and implicit theory, this study advances understanding of when and how intelligent machine usage shapes employees’ PCSB by identifying employees’ mindset as a key boundary condition and uncovering a dual-path mechanism of role efficacy versus role overload.

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Publication Details

Journal
International Journal of Contemporary Hospitality Management
Published
2026-02-13
DOI
https://doi.org/10.1108/ijchm-01-2025-0050
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Empowering or overloading? How intelligent machine usage influences hotel employees’ proactive customer service behaviour

Xiulan Meng, Xiaohua Yu, Wenzhu Cai
International Journal of Contemporary Hospitality Management
AI in Service Interactions
article

Empowering or overloading? How intelligent machine usage influences hotel employees’ proactive customer service behaviour

Xiulan Meng, Xiaohua Yu, Wenzhu Cai
article en

Abstract

Purpose This study aims to examine when and how intelligent machine usage facilitates or inhibits employees’ proactive customer service behaviour (PCSB). Design/methodology/approach This study used a scenario-based experiment and two-wave survey to collect data from hotel employees in China. Findings The findings indicate that for employees with a growth mindset, intelligent machine usage enhances role efficacy, thereby promoting PCSB, whereas for employees with a fixed mindset, intelligent machine usage increases role overload, thereby inhibiting PCSB. Practical implications This study enhances hotel managers’ understanding of how intelligent machine usage affects employees and offers practical guidance for promoting employees’ PCSB in human–machine collaboration contexts. Originality/value Drawing on role theory and implicit theory, this study advances understanding of when and how intelligent machine usage shapes employees’ PCSB by identifying employees’ mindset as a key boundary condition and uncovering a dual-path mechanism of role efficacy versus role overload.

International Journal of Contemporary Hospitality ManagementVol. 38(3)
Jiangxi University of Finance and Economics (CN), Zhejiang University of Finance and Economics (CN)
Openalex Percentile: Top 58%
AI in Service Interactions
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Empowering or overloading? How intelligent machine usage influences hotel employees’ proactive customer service behaviour — Xiulan Meng, Xiaohua Yu, et al. · International Journal of Contemporary Hospitality Management (2026) | TGRS Research Map | TGRS