Abstract
Sustainable supply chain finance (SSCF) is a fascinated consideration for both academics and practitioners due to the indicators are still underdeveloped in achieving sustainable supply chain finance. This study proposes a bibliometric data-driven from the literature to illustrate a clear overall concept of sustainable supply chain finance that reveals hidden indicators for further improvement.
Original language | English |
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Pages (from-to) | (In-Press) |
Journal | Industrial Management and Data Systems |
Volume | (In-Press) |
Early online date | 17 Feb 2021 |
DOIs | |
Publication status | E-pub ahead of print - 17 Feb 2021 |
Keywords
- Sustainable chain finance
- Big data
- Fuzzy Delphi method
- Entropy weight method
- Fuzzy decision-making trial and evaluation laboratory