Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117301
DC FieldValueLanguage
dc.contributorSchool of Hotel and Tourism Managementen_US
dc.creatorSi, Yen_US
dc.creatorChen, Men_US
dc.creatorXiao, Hen_US
dc.date.accessioned2026-02-10T06:31:16Z-
dc.date.available2026-02-10T06:31:16Z-
dc.identifier.issn0278-4319en_US
dc.identifier.urihttp://hdl.handle.net/10397/117301-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectArtificial intelligence (AI)en_US
dc.subjectHospitality industryen_US
dc.subjectHuman–AI co-evolutionen_US
dc.subjectKnowledge capitalen_US
dc.subjectKnowledge managementen_US
dc.titleNudging employee–AI co-evolution through the enhancement of knowledge capital in the hospitality industryen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume134en_US
dc.identifier.doi10.1016/j.ijhm.2025.104534en_US
dcterms.abstractThe rapid advancement of artificial intelligence (AI) is transforming the hospitality industry by reshaping knowledge management practices and redefining human–AI collaboration. This study investigates the co-evolutionary dynamics between employees and AI through the lens of organizational knowledge capital enhancement in hotels. Grounded in the knowledge-based view (KBV) and the socialization-externalization-combination-internalization (SECI) model, this research draws on interviews with employees from five-star hotels. Findings indicate that AI serves as an active participant in enhancing knowledge capital within hotel organizations. This involvement facilitates a three-phase evolution in employee–AI interaction: from coexistence to collaboration, and ultimately to co-creation. By contextualizing the SECI knowledge spiral within an employee–AI–employee dynamic with the theoretical perspective of KBV, this study advances the understanding of AI-enabled knowledge practices in hospitality workplaces and extends the applicability of these theoretical frameworks. Practically, the research offers hotel managers guidance on designing inclusive training systems, fostering collaborative environments, and strategically managing employee–AI relationships to translate AI investments into sustainable competitive advantages and long-term knowledge capital growth.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationInternational journal of hospitality management, Apr. 2026, v. 134, 104534en_US
dcterms.isPartOfInternational journal of hospitality managementen_US
dcterms.issued2026-04-
dc.identifier.scopus2-s2.0-105023999366-
dc.identifier.eissn1873-4693en_US
dc.identifier.artn104534en_US
dc.description.validate202602 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000881/2026-01-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China (NSFC 42071166) is gratefully acknowledged for the support of this research.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2029-04-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2029-04-30
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.