Yu, W, Chavez, R, Feng, M et al. (2 more authors) (2020) Green human resource management and environmental cooperation: An ability-motivation-opportunity and contingency perspective. International Journal of Production Economics, 219. pp. 224-235. ISSN 0925-5273
Abstract
This study examines the value of green human resource management (GHRM) in supporting environmental cooperation with customers and suppliers, and the moderating roles of internal green supply chain management (GSCM). A survey of 126 automobile manufacturers in China is analysed using moderated regression analysis, based on a proposed conceptual model grounded in ability–motivation–opportunity (AMO) theory and contingency theory (CT). The results reveal that GHRM is significantly and positively related to environmental cooperation with customers and suppliers, and that the relationships are significantly moderated by internal GSCM. HRM practitioners are advised to develop GHRM practices that provide training (ability), incentive (motivation), and conductive environment (opportunity) to help implement environmental collaboration, while SCM practitioners may improve internal GSCM to strengthen the effects of GHRM. This study clarifies key GHRM practices that contribute to GSCM, and advances related research by developing and testing an overarching model to explain such synergies and the moderating role of internal GSCM.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier B.V. All rights reserved. This is an author produced version of an article published in International Journal of Production Economics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Green supply chain management; Green human resource management; Environmental cooperation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jun 2019 16:26 |
Last Modified: | 18 Dec 2020 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ijpe.2019.06.013 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:147553 |
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Filename: IJPE GHRM and GSCM - Accepted Version April 2019.pdf
Licence: CC-BY-NC-ND 4.0