首页 | 本学科首页   官方微博 | 高级检索  
     

工业大数据时代技术示能性研究综述与未来展望
引用本文:刘祎,王玮. 工业大数据时代技术示能性研究综述与未来展望[J]. 科技进步与对策, 2019, 36(20): 154-160. DOI: 10.6049/kjjbydc.2019010402
作者姓名:刘祎  王玮
作者单位:暨南大学管理学院,广州广东,510632;暨南大学管理学院,广州广东,510632
基金项目:国家自然科学基金项目(71271102);广东省自然科学基金项目(2017A030313411)
摘    要:近10年内,国外逐渐形成了技术示能性理论,为工业4.0背景下企业如何有效利用新一代信息技术提供了系统分析框架,已成为管理信息系统和组织行为领域的研究热点。但国内相关研究尚处于起步阶段,并未对技术示能性研究前沿形成全面的逻辑体系。鉴于此,对国外技术示能性相关研究进行梳理,分析其引入组织管理的过程,从形成因素、实现过程和影响结果3个方面解析概念内涵,并在此基础上构建第四次工业革命核心生产要素——工业大数据驱动的技术示能性理论模型,展望其未来研究方向。结论进一步丰富了新工业革命情景下的技术示能性理论,可为企业有效利用工业大数据实现智能生产提供指导,对中国传统制造业实现工业化与信息化深度融合、推进中国制造2025具有重要实践指导意义。

关 键 词:工业大数据  技术示能性  信息技术  智能生产
收稿时间:2019-03-13

Literature Review and Research Prospect: Technology Affordance in the Age of Industrial Bid Data
Liu Yi,Wang Wei. Literature Review and Research Prospect: Technology Affordance in the Age of Industrial Bid Data[J]. Science & Technology Progress and Policy, 2019, 36(20): 154-160. DOI: 10.6049/kjjbydc.2019010402
Authors:Liu Yi  Wang Wei
Affiliation:(Management School,Jinan University, Guang Zhou 510632, China)
Abstract:The technology affordance theory, which developed abroad in the past ten years, provides a systematic analytical framework for manufacturing enterprises using the new information technology effectively in the background of industrial 4.0. This theory has attracted a lot of interest in information system (IS) and organizational behavior. However, the research in this field is just in its infancy in China and lack a comprehensive logic system. Thus, this paper sorts out the technology affordance paper published in English top journal, analyzes the process of introducing in organizational behavior, and focuses on its influence factors, implementation process and results. Based on this, this paper constructs the key resources of the forth industry revolution-industrial big data-driven technology affordance model and points out the future research direction. This research further enriches the technology affordance theory in the context of new industrial revolution and provides a new interpretation mechanism for enterprises to effectively use industrial big data to realize intelligent production. It offers practical advice for deep integration of industry and information technology and also for the realization of “Made in China 2025” plan.
Keywords:Industrial Big Data  Technology Affordance  Information Technology  Intelligent Production  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《科技进步与对策》浏览原始摘要信息
点击此处可从《科技进步与对策》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号