Sustainable supply chain performance evaluation: An empirical study using Best Worst Method
Oubrahim, Imadeddine; Sefiani, Naoufal; Happonen, Ari; Savastano, Marco (2023)
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Sisältö avataan julkiseksi: 18.03.2025
Sisältö avataan julkiseksi: 18.03.2025
Post-print / Final draft
Oubrahim, Imadeddine
Sefiani, Naoufal
Happonen, Ari
Savastano, Marco
2023
1184-1190
IEEE
School of Engineering Science
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© 2023 IEEE
© 2023 IEEE
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202401304815
https://urn.fi/URN:NBN:fi-fe202401304815
Tiivistelmä
Over the last two decades, supply chain sustainability has emerged as one of the most dynamic and fruitful decision-making research fields. At the same time, the practical side of the supply chain is one of the most fiercely competitive market/operation areas to do business in. Current academic research base needs to outline suitable strategies to achieve sustainable performance across a whole supply chain, particularly in the manufacturing sector. This research evaluates overall sustainable supply chain performance using a multi-criteria decision-making framework. Data was gathered and analyzed through the Best-Worst Method (BWM). Findings revealed that the quality of products and services, trailed by the return on investment (ROI) and work health and safety, are the most important criteria for financial, social, and environmental performance. The study aims to help academicians and practitioners to have good insight and overview of the roles of social and ecological aspects when focusing on enhancing sustainable supply chain performance.
Lähdeviite
Oubrahim,I., Sefiani, N., Happonen, A. and Savastano, M. (2023). "Sustainable supply chain performance evaluation: An empirical study using Best Worst Method," 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), Bengaluru, India, 2022, pp. 1184-1190, DOI: 10.1109/IIHC55949.2022.10059815.
Kokoelmat
- Tieteelliset julkaisut [1531]