# Data-driven hybrid multiple attribute decision-making model for green supplier evaluation and performance improvement

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/data-driven-hybrid-multiple-attribute-decision-making-model-for-green-supplier/

## Facts

| Field | Value |
| --- | --- |
| Author Names | James J.H. Liou,Yen‐Ching Chuang,Edmundas Kazimieras Zavadskas,Gwo‐Hshiung Tzeng |
| Citations | 102 |
| DOI | 10.1016/j.jclepro.2019.118321 |
| Fields | Business, Management and Accounting,Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2972016306 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Yen‐Ching Chuang](https://scholariq.org/researchers/yen-ching-chuang/)

## Paper journal

- [Journal of Cleaner Production](https://scholariq.org/journals/journal-of-cleaner-production/)

## Paper primary topic

- [Sustainable Supply Chain Management](https://scholariq.org/topics/sustainable-supply-chain-management/)

## Paper topics

- [Sustainable Supply Chain Management](https://scholariq.org/topics/sustainable-supply-chain-management/)
- [Multi-Criteria Decision Making](https://scholariq.org/topics/multi-criteria-decision-making/)
- [Supply Chain Resilience and Risk Management](https://scholariq.org/topics/supply-chain-resilience-and-risk-management/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.