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。
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.
作者
刘祎
王玮
Liu Yi;Wang Wei(Management School,Jinan University, Guang Zhou 510632, China)
出处
《科技进步与对策》
CSSCI
北大核心
2019年第20期154-160,共7页
Science & Technology Progress and Policy
基金
国家自然科学基金项目(71271102)
广东省自然科学基金项目(2017A030313411)
关键词
工业大数据
技术示能性
信息技术
智能生产
Industrial Big Data
Technology Affordance
Information Technology
Intelligent Production