Research on the evaluation of green suppliers of high energy-consuming enterprises--based on rough number-grey correlation TOPSIS method-Reference-Cited by-同舟云学术

Research on the evaluation of green suppliers of high energy-consuming enterprises--based on rough number-grey correlation TOPSIS method

Published:2024-01 Issue:1 Volume:10 Page:e21700
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Wang Xiaoxi,Liu Zhangfan,Kong Haining,Peng Geng

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference39 articles.

1. A two-stage model for monitoring the green supplier performance considering dual-role and undesirable factors, Asia Pac;Li;J. Mark. Logist.,2020

2. Environmental decentralization, local government competition, and regional green development: evidence from China;Wu;Sci. Total Environ.,2020

3. Green supply chain management for operational performance: anteceding impact of corporate social responsibility and moderating effects of relational capital;Xu;J. Enterp. Inf. Manag.,2022

4. Green supplier evaluation and selection using Cloud model theory and the QUALIFLEX method;Wang;Sustainability,2017

5. The impact of internal and external green supply chain management activities on performance improvement: evidence from the automobile industry;Li;Heliyon,2022

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1. An integrated decision-making model for green supplier selection based on AIOWA-CRITIC and CPT-TOPSIS: a case study of China;Kybernetes;2024-09-05

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3. Evaluation of Core Competitiveness of New Energy Industry and Analysis of Obstacle Factors Taking Shandong Province as an Example;Sustainability;2024-02-08