Going Green Supply Chain Management During COVID-19, Assessing the Best Supplier Selection Criteria: A Triple Bottom Line (TBL) Approach
Maryam Khokhar
maryamkhokhar@stumail.ysu.edu.cnSchool of Economics and Management Yanshan University (China)
Sayma Zia
Bahria Business School, Department of Business Studies, Bahria University Karachi Campus, Karachi (Pakistan)
Tahir Islam
Dept. of Management, Faculty of Management, Prague University of Economics and Business, (Czechia)
Anshuman Sharma
Ajman University, Department of Marketing, College of Business Administration, (United Arab Emirates)
Wasim Iqbal
Shenzhen University, Department of Management Science, College of Management, C (China)
Muhammad Irshad
Yanshan University, College of Computer Science and Technology (China)
Abstract
In the past ten years, sustainable supply chain management (SSCM) attach great importance due to consumers, for-profit and profitless organizations, laws and regulations to the social and corporate responsibilities of consumers, so it has been recognized by practitioners and scholars. Supplier selection, environmental effect like a lockdown, and social cooperation and other SSCM programs can play an important part in realizing the triple bottom line (TBL) of economic, environmental, social assistances. In supply chain management (SCM), the sustainable supplier selection (SSS) and firm performance plays an important role. Traditionally, when evaluating SSS performance, organizations will consider a new framework to obtain the overall criteria/sub-criteria of the sustainability index by encapsulating sustainability. In this paper 12 sub-criteria for 3 pillars of sustainability as economic, environment and social performance is collected. Although there are many articles on SSS and evaluation, so far, research on sustainability issues is very limited. This study endeavours to propose a fuzzy multi-criteria approach to discuss SSCM planning, and studies the issue of determining a current model for SSS in the supply chain during COVID-19 based on the TBL method. For express the linguistic value of the subjective preference of experts we use triangular fuzzy numbers. By using fuzzy numbers to find standard weights for qualitative performance evaluation, then fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is proposed to find the ranking of SSS. However, COVID-19 has a negative role in SSS and in firm performance. The situation of lockdown due to COVID-19 has a negative effect on the performance of the organizations. An example is given of the proposed method.
Keywords:
sustainable supply chain management (SSCM), triple bottom line (TBL), sustainable supplier selection (SSS), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), COVID-19References
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Authors
Maryam Khokharmaryamkhokhar@stumail.ysu.edu.cn
School of Economics and Management Yanshan University China
Authors
Sayma ZiaBahria Business School, Department of Business Studies, Bahria University Karachi Campus, Karachi Pakistan
Authors
Tahir IslamDept. of Management, Faculty of Management, Prague University of Economics and Business, Czechia
Authors
Anshuman SharmaAjman University, Department of Marketing, College of Business Administration, United Arab Emirates
Authors
Wasim IqbalShenzhen University, Department of Management Science, College of Management, C China
Authors
Muhammad IrshadYanshan University, College of Computer Science and Technology China
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