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Evaluating the human resource related soft dimensions in green supply chain management implementation
Open accessAbstract
Because of increased carbon emissions, environmental protection initiatives have gained significant attention at global level. One of the major initiatives taken by the industrial sector to minimize the negative environmental effect of the value chain activities is Green Supply Chain Management (GSCM). In industry, soft (human resource-related) dimensions influence the implementation of GSCM process greatly. In the literature, relatively less discussion is provided on assessing the significance of soft dimensions in efficient GSCM acceptance in industry. The present work is an attempt to construct a structural framework for assessing the significance of the soft dimensions in adopting GSCM concepts by taking a case of automotive company in India. A hybrid approach of Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach is employed in this work. BWM is used to prioritize the GSCM oriented soft dimensions, and DEMATEL is employed to extract interrelationships among them. The result shows that ‘Top management commitment’, ‘Employee involvement’, ‘Organizational culture’ and ‘Teamwork’ are the highly prioritized causal soft dimensions in efficient GSCM adoption. This research work would help industry managers and practitioners to decide where to concentrate for GSCM concepts in context of soft dimensions for sustainable business development.
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Metadata
- Authors
- Kumar, A., Mangla, S. K., Luthra, S., & Ishizaka, A.
- Affiliations
- University of Derby (GB)
- University of Plymouth (GB)
- Department of Mechanical Engineering, Government Engineering College, Nilokeri, India;
- University of Portsmouth (GB)
- Corresponding author
- Mangla, Sachin Kumar
- Venue
- Production Planning & Control
- Publisher
- Informa UK Limited
- Published
- 2019-04-25
- Volume
- 30
- Issue
- 9
- Pages
- 699-715
- ISSN
- 0953-7287 (ISSN-L)
- 1366-5871
- OpenAlex
- W2901339027
- Cited by
- 135
- References
- 86
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 20 · 2023: 26 · 2022: 20 · 2021: 21 · 2020: 17 · 2019: 7
- FWCI
- 24.99
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- Locations
- Production Planning & Control (publishedVersion)
- PEARL (University of Plymouth) (submittedVersion, cc-by-nc-nd)
- University of Derby Online Research Archive. (University of Derby) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Keywords
- green supply chain management, human resource management, top management commitment, employee participation, organizational culture, teamwork, sustainable business development, automotive industry
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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