Beyond conventional HRM: Catalyzing circular economy performance with green practices and inclusive leadership

Bora Ly

Asia-Pacific Management Review2025https://doi.org/10.1016/j.apmrv.2025.100373article
AJG 1ABDC C
Weight
0.41

What the paper says

This study critically examines the unique contribution of Green Human Resource Management (GHRM) and Inclusive Leadership (IL) to Circular Economy Performance (CEP) in Cambodia's public sector. Utilizing the Resource-Based View (RBV) and Ability, Motivation, and Opportunity (AMO) frameworks, the study draws on data from 387 public employees, analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings demonstrate that GHRM significantly influences IL and directly enhances CEP. IL also partially mediates, strengthening the link between GHRM and CEP. By highlighting the synergistic effects of GHRM and IL, the study provides new insights into how leadership amplifies the impact of green HR practices on sustainability outcomes. The research also emphasizes the importance of strategically aligning HR and leadership practices to optimize circular economy performance, offering actionable recommendations for public sector management. These contributions underscore the scientific and practical value of integrating GHRM and IL for sustainable development in resource-constrained environments.

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https://doi.org/https://doi.org/10.1016/j.apmrv.2025.100373

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@article{bora2025,
  title        = {{Beyond conventional HRM: Catalyzing circular economy performance with green practices and inclusive leadership}},
  author       = {Bora Ly},
  journal      = {Asia-Pacific Management Review},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.apmrv.2025.100373},
}

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Beyond conventional HRM: Catalyzing circular economy performance with green practices and inclusive leadership

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Evidence weight

0.41

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

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 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.