Facing AI with knowledge: an investigative study on the utilisation of service robots and employee knowledge management behaviours
Xinhua Guan,
Xiaoge Xu,
Jinhong Gong and
Xin Liu
Current Issues in Tourism, 2025, vol. 28, issue 20, 3302-3318
Abstract:
Knowledge is the source of competitive advantage for employees in the labour market and for businesses in the services market. While academic research on knowledge management has made significant progress, the impact of robotic utilisation on the knowledge management behaviour of service employees remains limited, particularly with respect to the entry of artificial intelligence and robots into tourism and hospitality settings. Drawing on stress coping theory, this paper explores the mechanisms through which the utilisation of service robots influences employee knowledge management behaviour. Through a survey of 347 hotel employees, we conduct a multiple regression analysis on the data. The findings indicate that the utilisation of service robots positively influences employees’ knowledge management behaviours, with learning tensions partially mediating this relationship, and a paradox mindset negatively moderating the impact of learning tensions on knowledge management behaviour. The research findings theoretically enrich the body of knowledge in the areas of service robots, human-robot interaction, and knowledge management. Practically, the research conclusions provide insights for tourism and hospitality organisations adopting robots on how to embrace change, leverage the learning tensions and paradox mindset, and thereby fostering a more engaged and motivated workforce in the realm of knowledge management.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13683500.2024.2392748 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rcitxx:v:28:y:2025:i:20:p:3302-3318
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rcit20
DOI: 10.1080/13683500.2024.2392748
Access Statistics for this article
Current Issues in Tourism is currently edited by Jennifer Tunstall
More articles in Current Issues in Tourism from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().