人工智能(AI)的行业经验:运营和供应链管理的好处和挑战

IF 6.1 3区 管理学 Q1 ENGINEERING, INDUSTRIAL Production Planning & Control Pub Date : 2021-04-16 DOI:10.1080/09537287.2021.1882695
S. Fosso Wamba, M. Queiroz, C. Guthrie, A. Braganza
{"title":"人工智能(AI)的行业经验:运营和供应链管理的好处和挑战","authors":"S. Fosso Wamba, M. Queiroz, C. Guthrie, A. Braganza","doi":"10.1080/09537287.2021.1882695","DOIUrl":null,"url":null,"abstract":"Abstract This editorial aims to present the papers accepted for the special issue (SI) 'Industry experiences of Artificial Intelligence (AI): benefits and challenges in operations and supply chain management.' First, we provide a brief introduction considering the relationship between AI and operations and supply chain management (OSCM) by highlighting some companies already using and practical insights. In sequence, we introduce the papers selected for the SI. The last section gives some intriguing and challenging research directions for scholars and industry practitioners by highlighting potential topics, research opportunities, and possible benefits. Through this SI, we look forward to helping industry practitioners, policy-makers, scholars, and all interested in this field to gain more knowledge about AI applications and insights in relation to OSCM.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":6.1000,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Industry experiences of artificial intelligence (AI): benefits and challenges in operations and supply chain management\",\"authors\":\"S. Fosso Wamba, M. Queiroz, C. Guthrie, A. Braganza\",\"doi\":\"10.1080/09537287.2021.1882695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This editorial aims to present the papers accepted for the special issue (SI) 'Industry experiences of Artificial Intelligence (AI): benefits and challenges in operations and supply chain management.' First, we provide a brief introduction considering the relationship between AI and operations and supply chain management (OSCM) by highlighting some companies already using and practical insights. In sequence, we introduce the papers selected for the SI. The last section gives some intriguing and challenging research directions for scholars and industry practitioners by highlighting potential topics, research opportunities, and possible benefits. Through this SI, we look forward to helping industry practitioners, policy-makers, scholars, and all interested in this field to gain more knowledge about AI applications and insights in relation to OSCM.\",\"PeriodicalId\":20627,\"journal\":{\"name\":\"Production Planning & Control\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2021-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Production Planning & Control\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/09537287.2021.1882695\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production Planning & Control","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/09537287.2021.1882695","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 20

摘要

这篇社论旨在介绍特刊(SI)接受的论文。“人工智能(AI)的行业经验:运营和供应链管理的好处和挑战。”首先,我们简要介绍了人工智能与运营和供应链管理(OSCM)之间的关系,重点介绍了一些已经使用人工智能的公司和实际的见解。我们依次介绍入选SI的论文。最后一部分通过强调潜在的主题、研究机会和可能带来的好处,为学者和行业从业者提供了一些有趣和具有挑战性的研究方向。通过本次SI,我们期待帮助行业从业者、政策制定者、学者以及所有对这一领域感兴趣的人获得更多关于人工智能应用的知识和与OSCM相关的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Industry experiences of artificial intelligence (AI): benefits and challenges in operations and supply chain management
Abstract This editorial aims to present the papers accepted for the special issue (SI) 'Industry experiences of Artificial Intelligence (AI): benefits and challenges in operations and supply chain management.' First, we provide a brief introduction considering the relationship between AI and operations and supply chain management (OSCM) by highlighting some companies already using and practical insights. In sequence, we introduce the papers selected for the SI. The last section gives some intriguing and challenging research directions for scholars and industry practitioners by highlighting potential topics, research opportunities, and possible benefits. Through this SI, we look forward to helping industry practitioners, policy-makers, scholars, and all interested in this field to gain more knowledge about AI applications and insights in relation to OSCM.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Production Planning & Control
Production Planning & Control 管理科学-工程:工业
CiteScore
19.30
自引率
9.60%
发文量
72
审稿时长
6-12 weeks
期刊介绍: Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.
期刊最新文献
‘The rules of the game’: How business research journals discourage knowledge translation to practice and what needs to change Exploring pillars of supply chain competitiveness: insights from leading global supply chains Integrating circular economy and Industry 4.0 for sustainable supply chain management: a dynamic capability view A framework for the systematic implementation of Green-Lean and sustainability in SMEs Exploring the barriers in medical additive manufacturing from an emerging economy
×
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