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The relationship between online knowledge sharing and employee innovation: the role of task crafting and departmental support for innovation

Thi Thanh Cham Bui et al.

European Journal of Management and Business Economics2025https://doi.org/10.1108/ejmbe-09-2024-0335article
AJG 2ABDC B
Weight
0.37

Abstract

Purpose The objective of this research is to examine the fundamental process through which task crafting connects online knowledge sharing with employee innovation. This study also analyzes the moderating effect of departmental support for innovation on the relationship between online knowledge sharing and employee innovation. Design/methodology/approach The data were gathered from 325 employees working in some industries in Vietnam. Structural equation modeling was used to analyze the data and evaluate the study hypotheses. Findings The findings confirmed the positive impact of online knowledge sharing on employee innovation, mediated by task crafting. Additionally, departmental support for innovation moderates the significant relationship between online knowledge sharing and employee innovation. Originality/value This research offers one of the earliest insights into how task crafting bridges online knowledge sharing and employee innovation. This study provides insights into how departmental support for innovation enhances the impact of online knowledge sharing on employee innovation.

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https://doi.org/https://doi.org/10.1108/ejmbe-09-2024-0335

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@article{thi2025,
  title        = {{The relationship between online knowledge sharing and employee innovation: the role of task crafting and departmental support for innovation}},
  author       = {Thi Thanh Cham Bui et al.},
  journal      = {European Journal of Management and Business Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/ejmbe-09-2024-0335},
}

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Evidence weight

0.37

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

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.