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From technostress creators to turnover intention: How knowledge collecting behavior buffers job burnout among Chinese university lecturers?
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DOI：10.1080/15555240.2026.2649297.png)
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Abstract
En 中文
Technostress has emerged as a significant factor affecting individuals' psychological well-being and counterproductive work behaviors in educational contexts. However, few studies have investigated the impacts of specific technostress creators individually. Based on the Job demands-resources (JD-R) model, this study investigated the effects of technostress creators on job burnout and turnover intention among university lecturers in China. In addition, this study explored the moderating role of knowledge-collecting behavior and the mediating role of job burnout. Using purposive and snowball sampling, 409 Chinese university lecturers completed a self-administered questionnaire. PLS-SEM analysis indicated that the proposed model explained a moderated level of job burnout (R2 = .57) and turnover intention (R2 = .31) effectively. Techno-uncertainty had the strongest impact on both job burnout and turnover intention. Job burnout significantly mediated most of the relationships between technostress creators and turnover intention. Importantly, knowledge collecting behavior significantly buffered the negative effects of technostress on lecturers' well-being. These findings provide empirical support for applying the JD-R model to the technostress framework and offer practical insights for universities to implement targeted interventions to protect lecturers' mental health.
Keywords:
Technostress
JD-R model
job burnout
turnover intention
knowledge collecting behavior
Journal
J
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0.8
Papers:
60
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0
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