Evidence map›Paper›PMID 42062318›Full record

ArticleScientific reports2026

Identifying key influencing factors and their hierarchical structure for green supply chain management in China's aerospace manufacturing using DEMATEL-ISM.

Jian Zheng, Xiaocui Li, Fen Wang, Cheng Wang, Yingzhen Chen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jian ZhengSchool of Economics and Management, Hubei University of Arts and Science, Xiangyang, China.
Xiaocui LiSchool of Economics and Management, Hubei University of Arts and Science, Xiangyang, China. hubeiwenli168@126.com.
Fen WangSchool of Economics and Management, Hubei University of Arts and Science, Xiangyang, China.
Cheng WangSchool of Economics and Management, Hubei University of Arts and Science, Xiangyang, China.
Yingzhen ChenSchool of Economics and Management, Hubei University of Arts and Science, Xiangyang, China.

Funding

National Natural Science Foundation 72374067
6 · The paper itself

Abstract

Green supply chain management in the aerospace manufacturing industry is a complex systematic project, and it is decisive for implementing green supply chain management to clarify the hierarchical relationship and critical factors among influencing factors. First, this study considers the aerospace manufacturing industry as the research object and constructs an influencing factor system of green supply chain management in the aerospace manufacturing industry in context of Tripple Bottom Line (TBL) of sustainability which includes society, economic, and environmental perspective. Second, the Decision-making Trial and Evaluation Laboratory (DEMATEL) was used to calculate influence degree, influenced degree, degree of centrality, and cause degree of each influence factor to reveal the importance of each influence factor. Then, based on the Interpretative Structural Modeling (ISM), a multi-level hierarchical interpretation structure model of the influencing factors for green supply chain management (GSCM) in the aerospace manufacturing industry was constructed. Finally, combined with the analysis results of the DEMATEL-ISM model, the key influencing factors of green supply chain management in the aerospace manufacturing industry were identified. The factors affecting green supply chain management in the aerospace manufacturing industry can be divided into five levels, with seven key influencing factors: government subsidies and policy support, environmental culture guidance, corporate green strategy orientation, corporate executives’ environmental awareness, green cooperation degree, corporate internal environmental management, and corporate external environmental behavior. This study not only enriches the existing theoretical system of green supply chain management to a certain extent, but also provides a theoretical basis for government and aerospace manufacturing enterprises to implement green supply chain management practices. Specifically, the identification of key factors and their distinct hierarchical roles provides policymakers and aerospace enterprises with a clear roadmap for prioritizing interventions, allocating resources efficiently, and developing targeted strategies to enhance GSCM implementation.

Indexed as

Aerospace manufacturing industryDEMATELGreen supply chain managementISM

Identifiers

PMID42062318
PMCPMC13133170

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.