Assessing the Best Supplier Selection Criteria in Supply Chain Management During the COVID-19 Pandemic

Frontiers in Psychology

Maryam Khokhar¹  Sayma Zia¹  Anshuman Sharma²  Yumei Hou⁴ 

[1] Department of Business Studies, Bahria Business School, Bahria University Karachi Campus, Karachi, Pakistan;Department of Marketing, College of Business Administration, Ajman University, Ajman, United Arab Emirates;School Of Economics and Management, Yanshan University, Qinhuangdao, China;School of Management, Yangen University, Quanzhou, China;

关键词: supply chain management;    supplier selection;    environmental performance;    fuzzy TOPSIS;    social interests;    COVID-19;   

DOI  :  10.3389/fpsyg.2021.804954

来源: DOAJ

【 摘 要 】

In the last 10 years, organizations and researchers have recognized the importance of sustainable supply chain management (SSCM) because of the consumers, -profit and non-profit organizations, laws and regulations, and consumer social and corporate responsibilities. Supplier selection, environmental effects such as social cooperation, and other SSCM programmes, can all help to achieve the “triple bottom line (TBL)” of economic, environmental, and social advantages. Sustainable supplier selection (SSS) and firm performance are important factors in supply chain management (SCM). Organizations will traditionally consider a new framework when evaluating SSS performance to obtain all-encompassing criteria/sub-criteria of the sustainability index by encapsulating sustainability. This paper compiles 12 subcriteria for three sustainability pillars, namely economic, environmental, and social performance. Despite the fact that many articles on SSS and evaluation were published during COVID-19, there seems to be little research on sustainability issues to date. The goal of this study is to suggest a fuzzy multicriteria approach to SSCM planning. Additionally, using the TBL method, the problem of determining a current model for SSS in the supply chain was investigated. The linguistic value of the subjective preference of experts is represented by triangular fuzzy numbers. Fuzzy TOPSIS (technique for order preference by similarity to ideal solution) is proposed to use standard weights to rank SSS for qualitative performance evaluation. COVID-19, on the other hand, has a detrimental impact on SSS and company results. The organization’s performance suffers as a result of the COVID-19 shutdown. The proposed method is demonstrated using an example.

【 授权许可】

Unknown