The convergence of IoT and sustainability in global supply chains: Patterns, trends, and future directions

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2024-10-09 DOI:10.1016/j.cie.2024.110631
Mohammad Rahimi , Mehrdad Maghsoudi , Sajjad Shokouhyar
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Abstract

This study investigates the pivotal role of Internet of Things (IoT) applications in advancing sustainable supply chains through a comprehensive analysis of research trends, international collaborations, and thematic evolution. Utilizing data from the Web of Science database, the research employs an innovative methodological framework combining keyword network analysis, country collaboration networks, and thematic mapping. The study reveals seven distinct keyword communities, highlighting the dominance of enabling technologies and the emergence of sector-specific applications. Analysis of international collaborations identifies five country clusters, each with unique research foci and collaborative patterns. The thematic map and evolution analysis uncover critical research gaps, including underexplored areas such as security in IoT-enabled supply chains and the integration of smart city concepts. The study projects future research directions, emphasizing the convergence of artificial intelligence and IoT, and the need for more holistic approaches to sustainability in supply chain management. The findings underscore the potential of IoT to foster sustainable business models that balance economic, social, and environmental benefits. This research contributes to the growing body of knowledge on IoT applications in sustainable supply chains by providing a multifaceted analysis of the field’s structure, evolution, and future trajectory. The insights offered are valuable for researchers, policymakers, and practitioners seeking to leverage IoT for creating more efficient, resilient, and sustainable supply chains in an increasingly globalized and environmentally conscious market.
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全球供应链中物联网与可持续发展的融合:模式、趋势和未来方向
本研究通过对研究趋势、国际合作和主题演变的综合分析,探讨了物联网(IoT)应用在推进可持续供应链中的关键作用。本研究利用科学网数据库的数据,采用创新的方法框架,将关键词网络分析、国家合作网络和主题绘图结合起来。研究揭示了七个不同的关键词群,突出了使能技术的主导地位和特定行业应用的出现。国际合作分析确定了五个国家集群,每个集群都有独特的研究重点和合作模式。专题图和演变分析揭示了关键的研究差距,包括物联网供应链的安全性和智慧城市概念的整合等尚未充分开发的领域。研究预测了未来的研究方向,强调了人工智能与物联网的融合,以及在供应链管理中采用更全面的可持续发展方法的必要性。研究结果强调了物联网在促进可持续商业模式方面的潜力,这种商业模式可以兼顾经济、社会和环境效益。这项研究对物联网领域的结构、演变和未来轨迹进行了多方面的分析,为可持续供应链中物联网应用方面不断增长的知识库做出了贡献。所提供的见解对研究人员、决策者和从业人员都很有价值,他们都希望在日益全球化和注重环保的市场中利用物联网创建更高效、更有弹性和更可持续的供应链。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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