Exploring the drivers of green supply chain management in the Chinese electronics industry: Evidence from a GDEMATEL–AISM approach
The electronics industry plays a crucial role in our information-based and intelligent society, but it also contributes significantly to environmental pollution. This study aims to explore the factors that drive green supply chain management (GSCM) in this industry using a mixed-method approach. Ini...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Cleaner Logistics and Supply Chain |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772390923000197 |
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| _version_ | 1846159501723435008 |
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| author | Yi Li Yongqi Tan Yang Pu Yunying Zhu Haotian Xie |
| author_facet | Yi Li Yongqi Tan Yang Pu Yunying Zhu Haotian Xie |
| author_sort | Yi Li |
| collection | DOAJ |
| description | The electronics industry plays a crucial role in our information-based and intelligent society, but it also contributes significantly to environmental pollution. This study aims to explore the factors that drive green supply chain management (GSCM) in this industry using a mixed-method approach. Initially, we conduct a comprehensive literature review and interview three experts to identify ten key variables influencing GSCM. Subsequently, we propose a novel method called Gray Decision-Making Trial and Evaluation Laboratory–Adversarial Interpretive Structure Modeling (GDEMATEL–AISM) to analyze the interactions, relationships, and hierarchical structure of these driving factors, visually representing them. To ensure the robustness of our findings, we perform sensitivity analysis by considering different scenarios with expert weights. For model evaluation, we utilize a case study within China’s electronics industry. Our research reveals that green innovation exerts the most significant influence on GSCM practices. Additionally, green marketing, green manufacturing, and production needs emerge as crucial short-term priorities. To promote the sustainable development of GSCM, we propose corresponding strategic measures that focus on these key drivers. These insights provide valuable guidance for practitioners and decision-makers seeking to foster sustainable practices within the electronics industry. |
| format | Article |
| id | doaj-art-eac2b6421c984c3eaa00ece234025a3c |
| institution | Kabale University |
| issn | 2772-3909 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Logistics and Supply Chain |
| spelling | doaj-art-eac2b6421c984c3eaa00ece234025a3c2024-11-23T06:32:07ZengElsevierCleaner Logistics and Supply Chain2772-39092023-06-017100110Exploring the drivers of green supply chain management in the Chinese electronics industry: Evidence from a GDEMATEL–AISM approachYi Li0Yongqi Tan1Yang Pu2Yunying Zhu3Haotian Xie4Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, ChinaSchool of Mathematical Sciences, South China Normal University, Guangzhou 530631, ChinaBay Area International Business School, Beijing Normal University, Zhuhai 519087, ChinaSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, ChinaFaculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China; corresponding author.The electronics industry plays a crucial role in our information-based and intelligent society, but it also contributes significantly to environmental pollution. This study aims to explore the factors that drive green supply chain management (GSCM) in this industry using a mixed-method approach. Initially, we conduct a comprehensive literature review and interview three experts to identify ten key variables influencing GSCM. Subsequently, we propose a novel method called Gray Decision-Making Trial and Evaluation Laboratory–Adversarial Interpretive Structure Modeling (GDEMATEL–AISM) to analyze the interactions, relationships, and hierarchical structure of these driving factors, visually representing them. To ensure the robustness of our findings, we perform sensitivity analysis by considering different scenarios with expert weights. For model evaluation, we utilize a case study within China’s electronics industry. Our research reveals that green innovation exerts the most significant influence on GSCM practices. Additionally, green marketing, green manufacturing, and production needs emerge as crucial short-term priorities. To promote the sustainable development of GSCM, we propose corresponding strategic measures that focus on these key drivers. These insights provide valuable guidance for practitioners and decision-makers seeking to foster sustainable practices within the electronics industry.http://www.sciencedirect.com/science/article/pii/S2772390923000197Green supply chain managementElectronics industryGray theoryDEMATELAISM |
| spellingShingle | Yi Li Yongqi Tan Yang Pu Yunying Zhu Haotian Xie Exploring the drivers of green supply chain management in the Chinese electronics industry: Evidence from a GDEMATEL–AISM approach Cleaner Logistics and Supply Chain Green supply chain management Electronics industry Gray theory DEMATEL AISM |
| title | Exploring the drivers of green supply chain management in the Chinese electronics industry: Evidence from a GDEMATEL–AISM approach |
| title_full | Exploring the drivers of green supply chain management in the Chinese electronics industry: Evidence from a GDEMATEL–AISM approach |
| title_fullStr | Exploring the drivers of green supply chain management in the Chinese electronics industry: Evidence from a GDEMATEL–AISM approach |
| title_full_unstemmed | Exploring the drivers of green supply chain management in the Chinese electronics industry: Evidence from a GDEMATEL–AISM approach |
| title_short | Exploring the drivers of green supply chain management in the Chinese electronics industry: Evidence from a GDEMATEL–AISM approach |
| title_sort | exploring the drivers of green supply chain management in the chinese electronics industry evidence from a gdematel aism approach |
| topic | Green supply chain management Electronics industry Gray theory DEMATEL AISM |
| url | http://www.sciencedirect.com/science/article/pii/S2772390923000197 |
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