供应链绩效与循环经济实施之间的关系:基于模糊认知图的可持续发展分析

IF 4.8 Q1 BUSINESS Business Strategy and Development Pub Date : 2024-04-19 DOI:10.1002/bsd2.373
Lucas Gabriel Zanon, Ana Carolina Bertassini, Tiago Fonseca Albuquerque Cavalcanti Sigahi, Rosley Anholon, Luiz Cesar Ribeiro Carpinetti
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引用次数: 0

摘要

供应链的可持续发展现在已势在必行,特别是考虑到循环供应链(CSC)范式为提高绩效提供了机会。因此,可以推断循环性与供应链绩效之间存在因果关系。然而,对这种关系的分析是在主观视角下进行的。对人类语言进行计算处理可以克服这一问题。因此,本文旨在提出一种方法,利用模糊认知图(FCM)这一成熟的软计算技术,评估循环经济(CE)实施原则对供应链绩效的影响。本研究开发了一个计算模型,并带来了一个说明性应用。从方法上讲,该研究是基于模型的、定量的、公理化的和描述性的。它的贡献在于提供了支持制定战略的方法,使行政首长协调会的实施工作与供应链绩效改进工作保持一致。供应链管理模型直观地展示了供应链绩效属性如何受到消费电子原则的影响,从而支持为实现循环而做出知情决策。
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Relations between supply chain performance and circular economy implementation: A fuzzy cognitive map-based analysis for sustainable development

Supply chain sustainability is now an imperative, particularly considering the circular supply chain (CSC) paradigm, which offers opportunities for performance improvement. Thus, it is possible to infer that there is a causal link between circularity and supply chain performance. However, the analysis of this relationship occurs under subjective perspectives. To computationally process human language can overcome this issue. Hence, this paper aims to propose an approach for assessing the influence of circular economy (CE) implementation principles on supply chain performance using the fuzzy cognitive map (FCM), a well-established soft computing technique. The study develops a computational model and brings an illustrative application. Methodologically, is model-based, quantitative, axiomatic and descriptive. It contributes by providing means to support the formulation of strategies for aligning CE implementation efforts with supply chain performance improvement efforts. The FCM visually represents how supply chain performance attributes are influenced by CE principles, supporting informed decision-making towards circularity.

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来源期刊
Business Strategy and Development
Business Strategy and Development Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
5.80
自引率
6.70%
发文量
33
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