Agung Sutrisno
Supply chain sustainability risk decision support model using integrated Preference Selection Index (PSI) method and prospect theory
Sutrisno, Agung; Kumar, Vikas
Authors
Professor Vikas Kumar Vikas.Kumar@uwe.ac.uk
Professor in Operations and Supply Chain Management
Abstract
Purpose: The purpose of this paper is to introduce the integrated model of the Preference Selection Index (PSI) and the prospect theory as new means to appraise the impact of supply chain sustainability risks based on five pillars of sustainability. Research has shown that sustainability risk assessment has a strong positive impact on improving the performance of enterprises. Design/methodology/approach: This study adopts a new decision support model for assessing supply chain sustainability risk based on additional failure mode and effect analysis parameters and its integration with PSI methodology and prospect theory. A case example of the supply chain small and medium enterprise (SME) producing fashion have been used in this study. Findings: The result of this study reveals some critical supply chain sustainability risks affecting the sustainability of enterprises under study. Research limitations/implications: The use of a limited sample is often associated as a limitation in the research studies and this study is based on findings from SMEs in the fashion retail supply chain. This preliminary study provides academics and practitioners an exemplar of supply chain sustainability risk assessment using integration of the PSI method and prospect theory. Practical implications: The result of this study is beneficial for practitioners, particularly owner–managers of SMEs who can use this study as guidance on how to consider risk behavior to identify and select the critical sustainability risks and plan mitigating strategies accordingly. Originality/value: Scientific studies on using the PSI and its integration with prospect theory as means to assess the criticality of supply chain sustainability risks is very rare. To the best of the authors’ knowledge, this is the first paper that presents the integrated model of the PSI and prospect theory to rank supply chain sustainability risks based on five pillars of sustainability.
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 19, 2021 |
Online Publication Date | Feb 4, 2022 |
Publication Date | Apr 1, 2022 |
Deposit Date | Dec 20, 2021 |
Publicly Available Date | Mar 5, 2022 |
Journal | Journal of Advances in Management Research |
Print ISSN | 0972-7981 |
Publisher | Emerald |
Peer Reviewed | Peer Reviewed |
Volume | 19 |
Issue | 2 |
Pages | 316-346 |
DOI | https://doi.org/10.1108/JAMR-06-2021-0193 |
Keywords | Small and Medium Enterprise (SME); Supply Chain Sustainability Risk; Preference Selection Index (PSI); Prospect Theory; Risk Priority Number |
Public URL | https://uwe-repository.worktribe.com/output/8277899 |
Files
Supply Chain Sustainability Risk Decision Support Model Using Integrated Preference Selection Index (PSI) Method and Prospect Theory
(551 Kb)
PDF
Licence
http://creativecommons.org/licenses/by-nc/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/
Copyright Statement
This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact permissions@emerald.com.
You might also like
The role of the state for managing voluntary food sustainability standards democratically
(2023)
Journal Article
Guest editorial: Modelling the business and societal decisions under the impact of COVID-19
(2023)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search