Decision-making model on sustainable supply chain finance under uncertainties

Ming-Lang Tseng; Kuo-Jui Wu; Jiayao Hu; Chin-Hsin Wang

doi:10.1016/j.ijpe.2018.08.024

Decision-making model on sustainable supply chain finance under uncertainties

Ming-Lang Tseng, Kuo-Jui Wu, Jiayao Hu, Chin-Hsin Wang

School of Strategy and Leadership

Research output: Contribution to journal › Article › peer-review

97 Citations (Scopus)

1022 Downloads (Pure)

Abstract

Supply chain finance has received increasing attention. The combination of sustainable development and supply chain finance requires a deeper discussion to address the theoretical and managerial gaps. Thus, this study adopts the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) to develop a sustainable supply chain finance model under uncertainty to identify the existing problems and deficiencies of financing patterns. Expert assessments were performed, and the results indicate that economic factors have a significant effect on other aspects and that delivery management policies are the most effective tools for reinforcing sustainable supply chain finance practices. Moreover, the findings provide a theoretical foundation that can reinforce the understanding of sustainable supply chain finance, and the managerial implications provide a precise guideline for firms to improve their performance.

Original language	English
Pages (from-to)	30-36
Number of pages	7
Journal	International Journal of Production Economics
Volume	205
Early online date	30 Aug 2018
DOIs	https://doi.org/10.1016/j.ijpe.2018.08.024
Publication status	Published - Nov 2018

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in International Journal of Production Economics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Production Economics,vol 205, 2018 DOI: 10.1016/j.ijpe.2018.08.024

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

Sustainable development
Supply chain finance
Sustainable supply chain finance
Triple bottom line
Fuzzy TOPSIS

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.ijpe.2018.08.024

Post-PrintAccepted author manuscript, 1.25 MBLicence: CC BY-NC-ND

Cite this

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title = "Decision-making model on sustainable supply chain finance under uncertainties",

abstract = "Supply chain finance has received increasing attention. The combination of sustainable development and supply chain finance requires a deeper discussion to address the theoretical and managerial gaps. Thus, this study adopts the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) to develop a sustainable supply chain finance model under uncertainty to identify the existing problems and deficiencies of financing patterns. Expert assessments were performed, and the results indicate that economic factors have a significant effect on other aspects and that delivery management policies are the most effective tools for reinforcing sustainable supply chain finance practices. Moreover, the findings provide a theoretical foundation that can reinforce the understanding of sustainable supply chain finance, and the managerial implications provide a precise guideline for firms to improve their performance.",

keywords = "Sustainable development, Supply chain finance, Sustainable supply chain finance, Triple bottom line, Fuzzy TOPSIS",

author = "Ming-Lang Tseng and Kuo-Jui Wu and Jiayao Hu and Chin-Hsin Wang",

note = "NOTICE: this is the author{\textquoteright}s version of a work that was accepted for publication in International Journal of Production Economics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Production Economics,vol 205, 2018 DOI: 10.1016/j.ijpe.2018.08.024 {\textcopyright} 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ ",

year = "2018",

month = nov,

doi = "10.1016/j.ijpe.2018.08.024",

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journal = "International Journal of Production Economics",

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AU - Tseng, Ming-Lang

AU - Wu, Kuo-Jui

AU - Hu, Jiayao

AU - Wang, Chin-Hsin

N1 - NOTICE: this is the author’s version of a work that was accepted for publication in International Journal of Production Economics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Production Economics,vol 205, 2018 DOI: 10.1016/j.ijpe.2018.08.024 © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2018/11

Y1 - 2018/11

N2 - Supply chain finance has received increasing attention. The combination of sustainable development and supply chain finance requires a deeper discussion to address the theoretical and managerial gaps. Thus, this study adopts the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) to develop a sustainable supply chain finance model under uncertainty to identify the existing problems and deficiencies of financing patterns. Expert assessments were performed, and the results indicate that economic factors have a significant effect on other aspects and that delivery management policies are the most effective tools for reinforcing sustainable supply chain finance practices. Moreover, the findings provide a theoretical foundation that can reinforce the understanding of sustainable supply chain finance, and the managerial implications provide a precise guideline for firms to improve their performance.

AB - Supply chain finance has received increasing attention. The combination of sustainable development and supply chain finance requires a deeper discussion to address the theoretical and managerial gaps. Thus, this study adopts the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) to develop a sustainable supply chain finance model under uncertainty to identify the existing problems and deficiencies of financing patterns. Expert assessments were performed, and the results indicate that economic factors have a significant effect on other aspects and that delivery management policies are the most effective tools for reinforcing sustainable supply chain finance practices. Moreover, the findings provide a theoretical foundation that can reinforce the understanding of sustainable supply chain finance, and the managerial implications provide a precise guideline for firms to improve their performance.

KW - Sustainable development

KW - Supply chain finance

KW - Sustainable supply chain finance

KW - Triple bottom line

KW - Fuzzy TOPSIS

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JO - International Journal of Production Economics

JF - International Journal of Production Economics

SN - 0925-5273

ER -

Decision-making model on sustainable supply chain finance under uncertainties

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this