摘要
数据科学发展为制造企业创新提供了新机遇,在制造业亟需转型升级背景下,研究数据赋能如何驱动制造企业创新具有重要战略意义。梳理国内外研究,总结数据赋能的主要形式和对象,从产品创新、商业模式创新、企业长期竞争力、企业创新生态系统和产业升级等5个方面,分析数据赋能路径和机制,构建系统研究框架,为打开数据赋能驱动制造企业创新机制的“黑箱”进行有益的探索。同时,为我国制造业转型升级提供理论参考。最后,针对现有研究不足提出未来展望,以期对数据赋能驱动制造业创新进行更深入的研究。
The development of data science provides new opportunities for manufacturing enterprises to innovate.At a time when manufacturing industry is in urgent need of transformation and upgrading,it is of great strategic significance to study how dataenablement drives the innovation of manufacturing enterprises.This paper summarizes the main forms and objects of data enablement by sorting out the latest research progress of data enablement driving the innovation of manufacturing enterprises at home and abroad.We analyze the path and mechanism of data enablement from five aspects:product innovation,business model innovation,long-term competitiveness of the enterprise,enterprise innovation ecosystem and industrial upgrade.Finally,a systematic research framework is constructed.The multi-level linkage research framework proposed in this paper makes a beneficial exploration for opening the"black box"of the mechanism of data enablement driving the innovation of manufacturing enterprises,and provides certain theoretical and practical reference for the transformation and upgrading of China's manufacturing industry.Finally,the paper puts forward the future prospects for the deficiency of the existing research in order to make a more in-depth and systematic research on data enablement driving manufacturing innovation.
作者
郭星光
陈曦
Guo Xingguang;Chen Xi(School of Business, Nanjing University, Nanjing 210093, China)
出处
《科技进步与对策》
CSSCI
北大核心
2021年第15期151-160,共10页
Science & Technology Progress and Policy
基金
国家社会科学基金重大项目(21ZDA033)
国家自然科学基金项目(72071104,71771118)
教育部人文社会科学基金项目(18YJCZH146)
江苏省社会科学基金重点项目(20GLA007)。
关键词
数据赋能
制造企业
创新
产业升级
Data Enablement
Manufacturing Enterprise
Innovation
Industrial Upgrading
