提供工业4.0技术:以生产技术集群为例

Q1 Business, Management and Accounting Journal of High Technology Management Research Pub Date : 2019-11-01 DOI:10.1016/j.hitech.2019.100355
Gustavo Dalmarco , Filipa R. Ramalho , Ana C. Barros , Antonio L. Soares
{"title":"提供工业4.0技术:以生产技术集群为例","authors":"Gustavo Dalmarco ,&nbsp;Filipa R. Ramalho ,&nbsp;Ana C. Barros ,&nbsp;Antonio L. Soares","doi":"10.1016/j.hitech.2019.100355","DOIUrl":null,"url":null,"abstract":"<div><p>The concept of industry 4.0 (i4.0) encompasses the integration of different technologies into an autonomous, knowledge- and sensor-based, self-regulating production system. Our objective is to synthesize which are the challenges and opportunities of adopting i4.0 from the perspective of technology provider companies. A single-case research was conducted with ten companies at the Portuguese Production Technologies Cluster. Based on i4.0 technologies – Augmented reality; Additive Manufacturing; Big Data; Cloud Computing; Cyber-Physical Systems; Cybersecurity; Smart Robotics; Simulation; and System Integration – interviewees mentioned that the main adoption challenges are the analysis of data generated, integration of new technologies with available equipment and workforce, and computational limitations. The main opportunities are improvements in: efficiency; flexibility; productivity; cybersecurity; quality of products and services; and decision process due to data analysis. Interviewees have also foreseen changes in company's business model through the integration of internal resources with complementary activities of their partners and other cluster companies.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"30 2","pages":"Article 100355"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.hitech.2019.100355","citationCount":"81","resultStr":"{\"title\":\"Providing industry 4.0 technologies: The case of a production technology cluster\",\"authors\":\"Gustavo Dalmarco ,&nbsp;Filipa R. Ramalho ,&nbsp;Ana C. Barros ,&nbsp;Antonio L. Soares\",\"doi\":\"10.1016/j.hitech.2019.100355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The concept of industry 4.0 (i4.0) encompasses the integration of different technologies into an autonomous, knowledge- and sensor-based, self-regulating production system. Our objective is to synthesize which are the challenges and opportunities of adopting i4.0 from the perspective of technology provider companies. A single-case research was conducted with ten companies at the Portuguese Production Technologies Cluster. Based on i4.0 technologies – Augmented reality; Additive Manufacturing; Big Data; Cloud Computing; Cyber-Physical Systems; Cybersecurity; Smart Robotics; Simulation; and System Integration – interviewees mentioned that the main adoption challenges are the analysis of data generated, integration of new technologies with available equipment and workforce, and computational limitations. The main opportunities are improvements in: efficiency; flexibility; productivity; cybersecurity; quality of products and services; and decision process due to data analysis. Interviewees have also foreseen changes in company's business model through the integration of internal resources with complementary activities of their partners and other cluster companies.</p></div>\",\"PeriodicalId\":38944,\"journal\":{\"name\":\"Journal of High Technology Management Research\",\"volume\":\"30 2\",\"pages\":\"Article 100355\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.hitech.2019.100355\",\"citationCount\":\"81\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of High Technology Management Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1047831019300173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of High Technology Management Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1047831019300173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 81

摘要

工业4.0 (i4.0)的概念包括将不同技术集成到一个自主的、基于知识和传感器的、自我调节的生产系统中。我们的目标是从技术提供商公司的角度综合采用工业4.0的挑战和机遇。对葡萄牙生产技术集群的10家公司进行了个案研究。基于工业4.0技术的增强现实;加法制造;大数据;云计算;Cyber-Physical系统;网络安全;智能机器人;模拟;和系统集成——受访者提到,主要的采用挑战是生成数据的分析,新技术与现有设备和劳动力的集成,以及计算限制。主要的机会在于:效率的提高;灵活性;生产力;网络安全;产品和服务的质量;以及数据分析的决策过程。受访者还预见到,通过整合内部资源与合作伙伴和其他集群公司的互补活动,公司的商业模式将发生变化。
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
Providing industry 4.0 technologies: The case of a production technology cluster

The concept of industry 4.0 (i4.0) encompasses the integration of different technologies into an autonomous, knowledge- and sensor-based, self-regulating production system. Our objective is to synthesize which are the challenges and opportunities of adopting i4.0 from the perspective of technology provider companies. A single-case research was conducted with ten companies at the Portuguese Production Technologies Cluster. Based on i4.0 technologies – Augmented reality; Additive Manufacturing; Big Data; Cloud Computing; Cyber-Physical Systems; Cybersecurity; Smart Robotics; Simulation; and System Integration – interviewees mentioned that the main adoption challenges are the analysis of data generated, integration of new technologies with available equipment and workforce, and computational limitations. The main opportunities are improvements in: efficiency; flexibility; productivity; cybersecurity; quality of products and services; and decision process due to data analysis. Interviewees have also foreseen changes in company's business model through the integration of internal resources with complementary activities of their partners and other cluster companies.

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
Journal of High Technology Management Research
Journal of High Technology Management Research Business, Management and Accounting-Strategy and Management
CiteScore
5.80
自引率
0.00%
发文量
9
审稿时长
62 days
期刊介绍: The Journal of High Technology Management Research promotes interdisciplinary research regarding the special problems and opportunities related to the management of emerging technologies. It advances the theoretical base of knowledge available to both academicians and practitioners in studying the management of technological products, services, and companies. The Journal is intended as an outlet for individuals conducting research on high technology management at both a micro and macro level of analysis.
期刊最新文献
Editorial Board Corrigendum to “AI in public-private partnership for IT infrastructure development” [The Journal of High Technology Management Research 35 (2024) 1–10/100496] Examining the impact of artificial intelligence on employee performance in the digital era: An analysis and future research direction You will never stand alone: The role of inter-organizational collaboration and technological turbulence in shaping small business' digital maturity Digital transformational leadership and organizational agility in digital transformation: Structural equation modelling of the moderating effects of digital culture and digital strategy
×
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