A systematic review of collaboration in supply chain 4.0 with meta-synthesis method

Aminmasoud Bakhshi Movahed, Alireza Aliahmadi, Mohammadreza Parsanejad, Hamed Nozari
{"title":"A systematic review of collaboration in supply chain 4.0 with meta-synthesis method","authors":"Aminmasoud Bakhshi Movahed,&nbsp;Alireza Aliahmadi,&nbsp;Mohammadreza Parsanejad,&nbsp;Hamed Nozari","doi":"10.1016/j.sca.2023.100052","DOIUrl":null,"url":null,"abstract":"<div><p>A systematic literature review is conducted to analyze and synthesize studies on supply chain collaboration in Industry 4.0 between 2010 and 2023. 152 documents were selected from various databases. The meta-synthesis method categorizes 8 Initiators, 8 Barriers, 7 dimensions, and 4 Outcomes of collaboration. The findings show that collaboration in supply chain 4.0, with the activation of drivers and enablers such as Industry 4.0 technologies, Information and communication technology infrastructure, and with the control of barriers such as Personal benefits and Operational and structural issues can utilize information and communication technologies to highlight sustainable performance and trust throughout the supply chain. The study develops the existing literature and persuades businesses and the scientific community to investigate the power of collaboration in supply chain partner activities. The analytical model in this study focusing on four main sections, can serve as a basis for conducting new research in the development of collaboration.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949863523000511/pdfft?md5=9545b00b8396d61239ac118ab86a6647&pid=1-s2.0-S2949863523000511-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supply Chain Analytics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949863523000511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A systematic literature review is conducted to analyze and synthesize studies on supply chain collaboration in Industry 4.0 between 2010 and 2023. 152 documents were selected from various databases. The meta-synthesis method categorizes 8 Initiators, 8 Barriers, 7 dimensions, and 4 Outcomes of collaboration. The findings show that collaboration in supply chain 4.0, with the activation of drivers and enablers such as Industry 4.0 technologies, Information and communication technology infrastructure, and with the control of barriers such as Personal benefits and Operational and structural issues can utilize information and communication technologies to highlight sustainable performance and trust throughout the supply chain. The study develops the existing literature and persuades businesses and the scientific community to investigate the power of collaboration in supply chain partner activities. The analytical model in this study focusing on four main sections, can serve as a basis for conducting new research in the development of collaboration.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于元综合方法的供应链4.0协作系统综述
通过系统的文献综述,对2010 - 2023年工业4.0时代供应链协同的研究进行了分析和综合。从不同的数据库中选择了152个文档。综合方法将协作的8个发起者、8个障碍、7个维度和4个结果进行了分类。研究结果表明,通过激活工业4.0技术、信息和通信技术基础设施等驱动因素和使能因素,并控制个人利益、运营和结构问题等障碍,供应链4.0中的协作可以利用信息和通信技术来突出整个供应链的可持续绩效和信任。本研究发展了现有文献,并说服企业和科学界调查供应链合作伙伴活动中合作的力量。本研究的分析模型集中在四个主要部分,可以作为开展合作发展新研究的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A systematic review of supply chain analytics for targeted ads in E-commerce An integrated supply chain network design for advanced air mobility aircraft manufacturing using stochastic optimization A comparative assessment of holt winter exponential smoothing and autoregressive integrated moving average for inventory optimization in supply chains Editorial Board An explainable artificial intelligence model for predictive maintenance and spare parts optimization
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1