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The association between workplace ostracism and knowledge-sharing behaviors among Chinese university teachers: The chain mediating model of job burnout and job satisfaction.
Wang, Guang-Hui; Li, Jia-Hui; Liu, Hui; Zaggia, Cristina.
Afiliação
  • Wang GH; School of Education (Teachers College), Guangzhou University, Guangzhou, China.
  • Li JH; Department of FISPPA, University of Padova, Padova, Italy.
  • Liu H; School of Education (Teachers College), Guangzhou University, Guangzhou, China.
  • Zaggia C; Department of FISPPA, University of Padova, Padova, Italy.
Front Psychol ; 14: 1030043, 2023.
Article em En | MEDLINE | ID: mdl-36818073
ABSTRACT
Workplace ostracism is an essential predictor of knowledge-sharing behaviors, but few studies have explored the influence of this mechanism in higher education. According to the conservation of resources theory, this study elucidated the roles of job burnout and job satisfaction as sequential mediators of the link between workplace ostracism and knowledge-sharing behaviors in a sample of 388 university teachers. The results of the study were analyzed via structural equation modeling (SEM). Higher knowledge-sharing behaviors were associated with lower workplace ostracism, lower job burnout, and more job satisfaction. Furthermore, increased workplace ostracism was associated with more job burnout, but job satisfaction was not related to workplace ostracism. The relationship between workplace ostracism and knowledge-sharing behaviors was mediated by job burnout and was sequentially mediated by job burnout and job satisfaction. These findings help to clarify the mechanisms underlying the association between workplace ostracism and knowledge-sharing behaviors in university teachers. The theoretical and practical implications of the findings are discussed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article