Social sustainable supplier evaluation and selection: a group decision-support approach

BAI, Chunguang, KUSI-SARPONG, Simonov, BADRI AHMADI, Hadi and SARKIS, Joseph (2019). Social sustainable supplier evaluation and selection: a group decision-support approach. International Journal of Production Research, 57 (22), 7046-7067.

Preview

PDF Kusi-Sarpong-SocialSustainableSupplierEvaluation(AM).pdf - Accepted Version Creative Commons Attribution Non-commercial No Derivatives. Download (630kB) | Preview

Abstract

Organisational and managerial decisions are influenced by corporate sustainability pressures. Organisations need to consider economic, environmental and social sustainability dimensions in their decisions to become sustainable. Supply chain decisions play a distinct and critical role in organisational good and service outputs sustainability. Sustainable supplier selection influences the supply chain sustainability allowing many organisations to build competitive advantage. Within this context, the social sustainability dimension has received relatively minor investigation; with emphasis typically on economic and environmental sustainability. Neglecting social sustainability can have serious repercussions for organisational supply chains. This study proposes a social sustainability attribute decision framework to evaluate and select socially sustainable suppliers. A grey-based multi-criteria decision-support tool composed of the ‘best-worst method’ (BWM) and TODIM (TOmada de Decisão Interativa e Multicritério – in Portuguese ‘Interactive and Multicriteria Decision Making’) is introduced. A grey-BWM approach is used to determine social sustainability attribute weights, and a grey-TODIM method is utilised to rank suppliers. This process is completed in a group decision setting. A case study of an Iranian manufacturing company is used to exemplify the applicability and suitability of the proposed social sustainability decision framework. Managerial implications, limitations, and future research directions are introduced after the application of the model.

Item Type:	Article
Uncontrolled Keywords:	Operations Research
Identification Number:	https://doi.org/10.1080/00207543.2019.1574042
Page Range:	7046-7067
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	17 Oct 2023 13:54
Last Modified:	17 Oct 2023 14:00
URI:	https://shura.shu.ac.uk/id/eprint/32487

Actions (login required)

View Item

Downloads

Publication Metrics