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Integrating knowledge sharing and organizational climates to drive talent retention: Insights from the high-end hospitality industry

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dc.title Integrating knowledge sharing and organizational climates to drive talent retention: Insights from the high-end hospitality industry en
dc.contributor.author Le, Phuong Giao Linh
dc.contributor.author Pham, Van Kien
dc.contributor.author Na, Le
dc.contributor.author Khue, Ho Lam
dc.relation.ispartof International Journal of Innovative Research and Scientific Studies
dc.identifier.issn 2617-6548 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2025
utb.relation.volume 8
utb.relation.issue 2
dc.citation.spage 777
dc.citation.epage 793
dc.type article
dc.language.iso en
dc.publisher Innovative Research Publishing
dc.identifier.doi 10.53894/ijirss.v8i2.5323
dc.relation.uri https://www.ijirss.com/index.php/ijirss/article/view/5323
dc.relation.uri https://www.ijirss.com/index.php/ijirss/article/view/5323/888
dc.subject fsQCA en
dc.subject high-end hospitality en
dc.subject innovation climate en
dc.subject knowledge sharing en
dc.subject mindfulness climate en
dc.subject smart PLS-SEM en
dc.subject talent retention en
dc.description.abstract This study addresses critical gaps in understanding how knowledge-sharing (KS) practices and organizational climates influence talent retention (TR) in the high-end hotel industry, where high employee turnover and demanding service standards pose significant challenges. While previous research has recognized the importance of innovation climate (IC) and mindfulness climate (MC), their combined effects and mediating roles in translating KS into TR outcomes remain underexplored. Additionally, existing studies predominantly adopt linear approaches, overlooking the configurational nature of these relationships. To bridge these gaps, this study adopts a dual-method approach, integrating Partial Least Squares Structural Equation Modeling (Smart PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). PLS-SEM results reveal that implicit knowledge (IK) and explicit knowledge (EK) significantly shape IC and MC, which directly enhance TR. Furthermore, IK and EK indirectly influence TR through the mediating effects of IC and MC, underscoring the critical role of supportive and adaptive organizational climates. Complementing these findings, fsQCA identifies key configurations, such as the combination of IC and MC, and the pairing of IC and IK, demonstrating how innovation and emotional resilience synergistically mitigate turnover. This research advances the literature by integrating theoretical perspectives, including the Knowledge-Based View, Conservation of Resources theory, and Nonaka‘s SECI Model, to position IC and MC as dual enablers of TR. By combining linear and configurational analyses, the study offers a comprehensive understanding of the interplay between KS, IC, MC, and TR. Practical recommendations emphasize embedding KS practices within innovation and mindfulness initiatives to foster employee well-being, engagement, and sustainable TR in the high-end hospitality industry. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1012388
utb.identifier.scopus 2-s2.0-105000154618
utb.source j-scopus
dc.date.accessioned 2025-05-09T08:50:15Z
dc.date.available 2025-05-09T08:50:15Z
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Le, Phuong Giao Linh
utb.fulltext.sponsorship This research is partly funded by University of Economics Ho Chi Minh City, Vietnam.
utb.scopus.affiliation Tomas Bata University in Zlín, Czech Republic; Ho Chi Minh City University of Economics and Finance (UEF), Viet Nam; University of Economics Ho Chi Minh City, Viet Nam
utb.fulltext.projects -
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