The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
Green Human Resource Management and Green Supply Chain Management: linking two emerging agendas
Open accessAbstract
Green Human Resource Management (GHRM) and Green Supply Chain Management (GSCM) are popular subjects in the areas of human resource management (HRM) and operations management (OM), respectively. Although scholars in each of these areas are advancing the roles of GSCM and GHRM in building more sustainable organizations, there has been a significant delay in the integration of these two contemporary subjects, based on a greater gap in the integration of HRM and supply chain management (SCM). Thus, the aims of this study are to propose a synergistic and integrative framework for the GHRM-GSCM relationship and to propose a research agenda for this integration. After reaching these goals, this article emphasizes the implications of GHRM-GSCM integration for scholars, managers, and practitioners in the areas of organizational sustainability and truly sustainable supply chains.
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Citations
Cites
From a literature review to a conceptual framework for sustainable supply chain management
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Green supply-chain management: a state-of-the-art literature review
Srivastava, S. K. (2007) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2007.00202.x · Cited by 3,984
Green Human Resource Management: A Review and Research Agenda*
Renwick, D. W. S., Redman, T., & Maguire, S. (2013) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2011.00328.x · Cited by 2,586
An organizational theoretic review of green supply chain management literature
Sarkis, J., Zhu, Q., & Lai, K.-H. (2011) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.11.010 · Cited by 2,267
Human resource management and performance: a review and research agenda
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Sustainable supply chains: An introduction
Linton, J. D., Klassen, R., & Jayaraman, V. (2007) · Journal of Operations Management · doi:10.1016/j.jom.2007.01.012 · Cited by 1,746
Vachon, S., & Klassen, R. D. (2008) · International Journal of Production Economics · doi:10.1016/j.ijpe.2006.11.030 · Cited by 1,695
Confirmation of a measurement model for green supply chain management practices implementation
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Stakeholder pressure and the adoption of environmental practices: The mediating effect of training
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Green supply chain management practices: impact on performance
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Cited by
Singh, S. K., Giudice, M. D., Chierici, R., & Graziano, D. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.119762 · Cited by 2,100
de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Godinho Filho, M. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.01.017 · Cited by 1,043
Self-citationRoscoe, S., Subramanian, N., Jabbour, C. J. C., & Chong, T. (2019) · Business Strategy and the Environment · doi:10.1002/bse.2277 · Cited by 1,018
Self-citationGreen human resource management research in emergence: A review and future directions
Ren, S., Tang, G., & E. Jackson, S. (2018) · Asia Pacific Journal of Management · doi:10.1007/s10490-017-9532-1 · Cited by 1,002
Mousa, S. K., & Othman, M. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118595 · Cited by 753
Metadata
- Authors
- Jabbour, C. J. C., & de Sousa Jabbour, A. B. L.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 112
- Pages
- 1824-1833
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2046755531
- Cited by
- 889
- References
- 109
- FWCI
- 78.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Jabbour, C. J. C., & de Sousa Jabbour, A. B. L. (2016). Green Human Resource Management and Green Supply Chain Management: linking two emerging agendas. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2015.01.052
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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.