Impact of task-technology fit on proactive behavior: boredom at work and core self-evaluation effects

Zhaoyu Sun et al.

Chinese Management Studies2026https://doi.org/10.1108/cms-01-2025-0051article
AJG 1ABDC C
Weight
0.50

What the paper says

Purpose Against the backdrop of corporate digital transformation, this study aims to explore the mechanism through which task-technology fit (TTF) influences employee proactive behavior (PB), based on the conservation of resources (COR) theory, with a focus on the mediating role of boredom at work (BW) and the moderating role of core self-evaluation (CSE). Design/methodology/approach A three-wave time-lagged survey was conducted among 419 employees from diverse Chinese organizations. Hierarchical regression, bootstrap mediation testing and conditional process modeling were used for data analysis. Findings TTF has a significant positive linear relationship with employee PB; BW partially mediates this relationship. CSE moderates the relationship between BW and PB, weakening the inhibitory effect of BW on employee PB. Practical implications Organizations should optimize TTF through training and talent matching, mitigate work boredom by enhancing task challenge and value employees with high CSE to promote PB during digital transformation. Originality/value This study extends TTF theory to the research field of employee PB, constructs a multilevel mechanism where job attribute affects emotional experience, which in turn affects individual traits, and enriches the contextual application of COR theory in digital transformation.

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https://doi.org/https://doi.org/10.1108/cms-01-2025-0051

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@article{zhaoyu2026,
  title        = {{Impact of task-technology fit on proactive behavior: boredom at work and core self-evaluation effects}},
  author       = {Zhaoyu Sun et al.},
  journal      = {Chinese Management Studies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/cms-01-2025-0051},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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