The Impact of Digital Technologies and Sustainable Practices on Circular Supply Chain Management

IF 3.6 Q2 MANAGEMENT Logistics-Basel Pub Date : 2023-01-03 DOI:10.3390/logistics7010001
Sara Romagnoli, Claudia Tarabu', Behzad Maleki Vishkaei, Pietro De Giovanni
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引用次数: 14

Abstract

Background: This study investigates how firms can enhance the functionality of their circular supply chains (CSCs) by adopting a portfolio of sustainable practices as well as digital technologies to increase performance. It analyzes the benefits that firms can obtain when investing in specific technologies to boost the impact of technologies and sustainable practices on CSCs, and further increase performance. Methods: We test several hypotheses by using structural equation modeling as well as multi-group analysis to verify whether CSCs can be achieved through sustainable practices and technologies and improve the firms’ performance. Results: The empirical results partially support the research hypotheses. While the main research hypotheses are fully supported, the analysis of single digital technologies reveals that only a few solutions can contribute to both the management and the improvement of the CSC. Conclusions: Our findings demonstrate that the identification of green suppliers and ad hoc environmental regulations, combined with attention to the origin and provenance of raw materials, can promote a CSC. Moreover, transportation management systems (TMS) and the internet of things (IoT) are efficient technologies for managing transportation and product flow in the CSC. Furthermore, machine learning (ML) is effective in making positive green decisions, and 3D printing can extend product life.
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数字技术和可持续实践对循环供应链管理的影响
背景:本研究调查了企业如何通过采用可持续实践和数字技术来提高绩效,从而增强其循环供应链的功能。它分析了企业在投资特定技术时可以获得的利益,以增强技术和可持续实践对CSC的影响,并进一步提高绩效。方法:我们使用结构方程模型和多组分析来检验几个假设,以验证CSC是否可以通过可持续的实践和技术来实现,并提高企业的绩效。结果:实证结果部分支持了研究假设。虽然主要的研究假设得到了充分支持,但对单一数字技术的分析表明,只有少数解决方案能够对CSC的管理和改进做出贡献。结论:我们的研究结果表明,识别绿色供应商和特别的环境法规,再加上对原材料来源和出处的关注,可以促进CSC。此外,运输管理系统(TMS)和物联网(IoT)是CSC中管理运输和产品流的有效技术。此外,机器学习(ML)在做出积极的绿色决策方面是有效的,3D打印可以延长产品寿命。
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来源期刊
Logistics-Basel
Logistics-Basel Multiple-
CiteScore
6.60
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊最新文献
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