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Green human resource management and environmental performance: The role of green innovation and environmental strategy in a developing country
Open accessAbstract
A vast literature supports the notion that green human resource management leads to superior environmental performance. This study argues that green innovation, environmental strategy and pro‐environmental behaviour facilitate the relationship between green human resource management and environmental performance in the manufacturing industry of developing countries. To test the mediating effect of green innovation and pro‐environmental behaviour alongside the moderating role of environmental strategy in the proposed model, we collected and analysed data from 410 manufacturing firm managers operating in Pakistan using partial least square structural equation modelling. The mediating and moderating results highlighted the significance of green innovation, environmental strategy and pro‐environmental behaviour to excel in environmental performance through operational efficiency, appropriate environmental strategy and human willingness to indulge in environmental activities. The findings also suggest implications for theory and practice in similar developing countries. The study offers generalisability in developing countries sharing the same economic and social structure.
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Metadata
- Authors
- Aftab, J., Abid, N., Cucari, N., & Savastano, M.
- Venue
- Business Strategy and the Environment
- Publisher
- Wiley
- Published
- 2022-08-19
- Volume
- 32
- Issue
- 4
- Pages
- 1782-1798
- ISSN
- 0964-4733 (ISSN-L)
- 1099-0836
- OpenAlex
- W4294007256
- Cited by
- 452
- References
- 148
- FWCI
- 67.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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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.
