Improving job engagement of public servants through knowledge sharing: a study conducted in Ho Chi Minh City, Vietnam

Linh Giang Le Nguyen & Quang Thang Le

International Journal of Learning and Intellectual Capital2025https://doi.org/10.1504/ijlic.2025.152663article
AJG 1
Weight
0.50

What the paper says

This study explores the factors influencing knowledge sharing and its impact on job engagement among public servants in Ho Chi Minh City amid economic and societal changes. Utilising the knowledge-based view theory, a comprehensive model was developed and assessed using PLS-SEM statistical techniques on data from 300 public servants. The analysis revealed that job engagement is influenced by factors like self-enjoyment, self-efficacy, social interaction, and reciprocity, while knowledge sharing is affected by factors including self-enjoyment, reputation enhancement, self-efficacy, reciprocity, and trust. Furthermore, knowledge sharing positively impacts job engagement and mediates factors such as self-enjoyment, reputation enhancement, self-efficacy, reciprocity, trust, and job engagement. This research highlights the crucial role of knowledge sharing in promoting job engagement within Vietnam's public sector, providing valuable insights into their dynamic interplay. Despite the absence of longitudinal data, this research provides valuable insights for fostering job engagement and promoting knowledge sharing among public employees.

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https://doi.org/https://doi.org/10.1504/ijlic.2025.152663

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@article{linh2025,
  title        = {{Improving job engagement of public servants through knowledge sharing: a study conducted in Ho Chi Minh City, Vietnam}},
  author       = {Linh Giang Le Nguyen & Quang Thang Le},
  journal      = {International Journal of Learning and Intellectual Capital},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijlic.2025.152663},
}

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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

† 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.