通过利益相关者理论分析实现可持续发展目标的智能可持续循环供应链的驱动因素

Analyzing the drivers of smart sustainable circular supply chain for sustainable development goals through stakeholder theory

BUSINESS STRATEGY AND THE ENVIRONMENT · 2022
被引 115
人大 A-ABS 3

中文导读

针对中低收入国家,通过系统文献综述识别智能可持续循环供应链的驱动因素,并运用BWM和TOPSIS方法分析这些驱动因素对实现可持续发展目标的影响,发现经济可持续性是最关键的驱动因素,SDG 16(和平、正义与强大机构)受支持最多。

Abstract

Abstract The concept of sustainable development is becoming incomprehensible and complex in global supply networks, especially in low‐ and middle‐income countries (LMIC) that are most affected by ever‐changing industry challenges and standards. Smart technologies emerged by Industry 4.0, sustainability, and circular economy (CE) connection, which remain unexplored, can be integrated into the supply chain as a business strategy to increase collaboration and cooperation between different tiers of the supply chain to achieve sustainable development goals (SDGs) according to LMIC. Therefore, the main objective of this paper is to discover the drivers of a smart sustainable circular supply chain (SSCSC) in achieving the SDGs in LMIC through stakeholder theory. First, a systematic review is employed to identify the drivers of the SSCSC to achieve the SDGs in the LMIC incorporating existing literature on the subject. Second, the Best‐Worst Method (BWM) is applied to analyze the identified drivers, and then the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to analyze the SDGs. The applicability of the solution methodology was illustrated by providing a numerical example. The results of the study are twofold: firstly, drivers are analyzed by implementation of BWM. The results of the BWM reveal that economic sustainability is the best key driver among the eight driversin achieving the SDGs, meaning that without financial assistance and support achieving the SDGs becomes ineffective. Secondly, the TOPSIS analysis reveals that SDG 16 (peace, justice, and strong institutions) is the SDG most supported by drivers.

可持续发展供应链管理循环经济利益相关者理论多准则决策