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Cited by 617

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Nexus between green intellectual capital and green human resource management

Yong, Jing Yi, Yusliza, M-Y, Ramayah, T., Fawehinmi, Olawole·2019·Journal of Cleaner Production

Abstract

Abstract This research was a pioneering study that examined the relationship between green intellectual capital and green human resource management. A quantitative research approach using a mail survey was employed to get insights from 112 large manufacturing firms in Malaysia. Partial Least Squares Regression Analysis was employed to examine the proposed relationship. The results indicated that green human capital and green relational capital influenced green human resource management. Surprisingly, green structural capital was not significantly related to green human resource management. As revealed by searches of ISI Web of Knowledge and Scopus, no similar work has tested a similar framework based on evidence from all over the world.

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Crossref · 10.1016/j.jclepro.2018.12.306

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Metadata

Authors
Yong, J. Y., Yusliza, M.-Y., Ramayah, T., & Fawehinmi, O.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2019-04
Volume
215
Pages
364-374
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2907725652
Cited by
617
References
10
FWCI
81.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nexus between green intellectual capital and green human resource management. https://app.cochat.ai/papers/10.1016/j.jclepro.2018.12.306
The paper
Yong, J. Y., Yusliza, M.-Y., Ramayah, T., & Fawehinmi, O. (2019). Nexus between green intellectual capital and green human resource management. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.12.306

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.