{"title":"Decoding the Factors of Electric Vehicle Supply Chain Resilience: A Structured Categorization for Enhancing Resilience Through Factor Synergies","authors":"Yanxuan Li;Vatcharapol Sukhotu","doi":"10.1109/ACCESS.2025.3543910","DOIUrl":null,"url":null,"abstract":"This study focuses on building resilience in electric vehicle (EV) supply chain to address the growing challenges of global market uncertainties. Grounded in dynamic capabilities theory, the study identifies and categorizes 16 key factors influencing Supply Chain Resilience (SCR) through a review of 117 academic papers and data analysis from 8 supply chain experts and 374 EV supply chain enterprises. These factors are grouped into four dynamic capability sets: sensing capability, external resource integration capability, internal resource integration capability, and transforming capability. The Structural Equation Modeling (SEM) was used to validate the impact paths of these four dynamic capabilities on SCR, revealing that external resource integration capability has the most significant positive effect on SCR, followed by internal resource integration and sensing capabilities, while the impact of transforming capability is relatively weaker. The findings suggest that EV companies should prioritize strengthening both external and internal resource integration to enhance SCR. This research provides a theoretical foundations and practical guidance for EV companies to improve SCR in a complex global environment, offering new perspectives and empirical support for future studies in supply chain management.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"35281-35297"},"PeriodicalIF":3.4000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10896634","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Access","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10896634/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This study focuses on building resilience in electric vehicle (EV) supply chain to address the growing challenges of global market uncertainties. Grounded in dynamic capabilities theory, the study identifies and categorizes 16 key factors influencing Supply Chain Resilience (SCR) through a review of 117 academic papers and data analysis from 8 supply chain experts and 374 EV supply chain enterprises. These factors are grouped into four dynamic capability sets: sensing capability, external resource integration capability, internal resource integration capability, and transforming capability. The Structural Equation Modeling (SEM) was used to validate the impact paths of these four dynamic capabilities on SCR, revealing that external resource integration capability has the most significant positive effect on SCR, followed by internal resource integration and sensing capabilities, while the impact of transforming capability is relatively weaker. The findings suggest that EV companies should prioritize strengthening both external and internal resource integration to enhance SCR. This research provides a theoretical foundations and practical guidance for EV companies to improve SCR in a complex global environment, offering new perspectives and empirical support for future studies in supply chain management.
IEEE AccessCOMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍:
IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest.
IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on:
Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals.
Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering.
Development of new or improved fabrication or manufacturing techniques.
Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.