Serial mediating role of transformational leadership and perception of artificial intelligence use in the effect of employee happiness on innovative work behaviour in nurses

ArticleAçık Erişim

Özet

Background: Increasing quality and efficiency in health services can directly relate to nurses’ innovative work behaviors. The happiness levels of nurses at the workplace can positively affect their innovative work behaviors and their willingness to make a positive difference in patient care. In this context, the study aims to examine the serial mediation role of these factors by associating the effect of nurse happiness on innovative work behaviors with transformational leadership and perception of artificial intelligence use. Methods: Nurses working in two medium-sized public hospitals in the Eastern Black Sea region of Turkey were selected as the study sample. Data were collected from 458 nurses by convenience sampling method. In this cross-sectional study, scales whose validity and reliability were supported by other studies were used. Results: When the findings of the study were evaluated, a significant positive relationship was found between nurses’ happiness and innovative work behavior. In addition, it was found that transformational leadership and perception of AI usage had a mediating role separately in the relationship between nurses’ happiness and innovative work behavior. Finally, when the research model was tested, it was also determined that transformational leadership and perception of AI use have a serial mediating role in the relationship between nurses’ happiness and innovative work behavior. Conclusions: This study revealed that nurse happiness has a significant and positive effect on innovative work behaviors, and transformational leadership and perception of artificial intelligence use have a serial mediating role in this relationship. Ultimately, this research offers some theoretical and practical implications for practitioners by emphasizing the strategic importance of transformational leadership practices and the integration of artificial intelligence technologies, as well as increasing the happiness levels of nurses to promote innovation in healthcare services. © The Author(s) 2025.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/10677Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1186/s12912-025-02776-9Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorAgaoglu, Ferhat Onur
dc.contributor.authorBas, Murat
dc.contributor.authorTarsuslu, Sinan
dc.contributor.authorEkinci, Lokman Onur
dc.date.accessioned2026-10-18T20:25:50.712295683Z
dc.date.available2026-10-18T20:25:50.712295683Z
dc.date.issued2025
dc.description.abstractBackground: Increasing quality and efficiency in health services can directly relate to nurses’ innovative work behaviors. The happiness levels of nurses at the workplace can positively affect their innovative work behaviors and their willingness to make a positive difference in patient care. In this context, the study aims to examine the serial mediation role of these factors by associating the effect of nurse happiness on innovative work behaviors with transformational leadership and perception of artificial intelligence use. Methods: Nurses working in two medium-sized public hospitals in the Eastern Black Sea region of Turkey were selected as the study sample. Data were collected from 458 nurses by convenience sampling method. In this cross-sectional study, scales whose validity and reliability were supported by other studies were used. Results: When the findings of the study were evaluated, a significant positive relationship was found between nurses’ happiness and innovative work behavior. In addition, it was found that transformational leadership and perception of AI usage had a mediating role separately in the relationship between nurses’ happiness and innovative work behavior. Finally, when the research model was tested, it was also determined that transformational leadership and perception of AI use have a serial mediating role in the relationship between nurses’ happiness and innovative work behavior. Conclusions: This study revealed that nurse happiness has a significant and positive effect on innovative work behaviors, and transformational leadership and perception of artificial intelligence use have a serial mediating role in this relationship. Ultimately, this research offers some theoretical and practical implications for practitioners by emphasizing the strategic importance of transformational leadership practices and the integration of artificial intelligence technologies, as well as increasing the happiness levels of nurses to promote innovation in healthcare services. © The Author(s) 2025.
dc.identifier.doi10.1186/s12912-025-02776-9
dc.identifier.issn1472-6955
dc.identifier.issue1
dc.identifier.pmcidPMC11800594
dc.identifier.pmid39915749
dc.identifier.scopus2-s2.0-85218239283
dc.identifier.startpage137
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/10677
dc.identifier.volume24
dc.identifier.wosWOS:001415854600002
dc.language.isoen
dc.publisherBioMed Central Ltd
dc.relation.ispartofBMC Nursing
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAI usage
dc.subjectEmployee happiness
dc.subjectInnovative work behavior
dc.subjectNurse
dc.subjectTransformational leadership
dc.titleSerial mediating role of transformational leadership and perception of artificial intelligence use in the effect of employee happiness on innovative work behaviour in nurses
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus25
rdl.citation.wos26
rdl.departmentDepartment of Health Management, Erzincan Binali Yildirim University, Erzincan, 24100, Turkey. fagaoglu@erzincan.edu.tr. | Department of Health Management, Erzincan Binali Yildirim University, Erzincan, 24100, Turkey. | Health Services School, Erzincan Binali Yildirim University, Erzincan, Turkey.
rdl.oa.statusgold
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)
rdl.wos.indexSocial Science Citation Index (SSCI)