Cited 73 time in
Impact of resilience and job involvement on turnover intention of new graduate nurses using structural equation modeling
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yu, Mi | - |
| dc.contributor.author | Lee, Haeyoung | - |
| dc.date.accessioned | 2022-12-26T16:33:53Z | - |
| dc.date.available | 2022-12-26T16:33:53Z | - |
| dc.date.issued | 2018-10 | - |
| dc.identifier.issn | 1742-7932 | - |
| dc.identifier.issn | 1742-7924 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/11191 | - |
| dc.description.abstract | AimsNurses' turnover intention is not just a result of their maladjustment to the field; it is an organizational issue. This study aimed to construct a structural model to verify the effects of new graduate nurses' work environment satisfaction, emotional labor, and burnout on their turnover intention, with consideration of resilience and job involvement, and to test the adequacy of the developed model. MethodsA cross-sectional study and a structural equation modelling approach were used. A nationwide survey was conducted of 371 new nurses who were working in hospitals for 18 months between July and October, 2014. ResultsThe final model accounted for 40% of the variance in turnover intention. Emotional labor and burnout had a significant positive direct effect and an indirect effect on nurses' turnover intention. Resilience had a positive direct effect on job involvement. Job involvement had a negative direct effect on turnover intention. Resilience and job involvement mediated the effect of work environment satisfaction, emotional labor, and burnout on turnover intention. ConclusionIt is important to strengthen new graduate nurses' resilience in order to increase their job involvement and to reduce their turnover intention. | - |
| dc.format.extent | 12 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | WILEY | - |
| dc.title | Impact of resilience and job involvement on turnover intention of new graduate nurses using structural equation modeling | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1111/jjns.12210 | - |
| dc.identifier.scopusid | 2-s2.0-85054054497 | - |
| dc.identifier.wosid | 000446279700009 | - |
| dc.identifier.bibliographicCitation | JAPAN JOURNAL OF NURSING SCIENCE, v.15, no.4, pp 351 - 362 | - |
| dc.citation.title | JAPAN JOURNAL OF NURSING SCIENCE | - |
| dc.citation.volume | 15 | - |
| dc.citation.number | 4 | - |
| dc.citation.startPage | 351 | - |
| dc.citation.endPage | 362 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | ssci | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Nursing | - |
| dc.relation.journalWebOfScienceCategory | Nursing | - |
| dc.subject.keywordPlus | NURSING-STUDENTS | - |
| dc.subject.keywordPlus | BURNOUT | - |
| dc.subject.keywordPlus | SATISFACTION | - |
| dc.subject.keywordPlus | MANAGEMENT | - |
| dc.subject.keywordPlus | STRESS | - |
| dc.subject.keywordPlus | HEALTH | - |
| dc.subject.keywordAuthor | burnout | - |
| dc.subject.keywordAuthor | job involvement | - |
| dc.subject.keywordAuthor | nurse | - |
| dc.subject.keywordAuthor | resilience | - |
| dc.subject.keywordAuthor | turnover | - |
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