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数据赋能制造业企业创新驱动发展研究新进展

New Research Progress on Innovation Driven Development of Manufacturing Enterprises with Big Data Incentives

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【作者】 马微惠宁

【Author】 MA Wei;HUI Ning;School of Economics and Management, Northwest University;

【机构】 西北大学经济管理学院

【摘要】 在大力推进大数据应用和制造业创新驱动发展的背景下,如何实现数据赋能制造业企业创新驱动发展是一个重大的现实问题。通过系统梳理大数据与制造业创新驱动发展的相关研究,发现既有文献大多聚焦于大数据的内涵与特征、制造业创新驱动发展的现状与问题、制造业大数据的机遇与挑战等层面,对大数据影响制造业创新驱动发展的动力机制、传导路径等方面的研究较少,且大多停留在理论层面,缺乏经验证据的支持。未来研究应重点关注大数据对制造业创新驱动发展的作用机理与影响效应。此举旨在为建设大数据与制造业深度融合的制度体系提供坚实的理论依据。

【Abstract】 Under the background of vigorously promoting the application of big data and the innovation-driven development of manufacturing industry, how to realize the innovation-driven development of manufacturing enterprises with big data is a major practical problem. Through systematic research on big data and manufacturing innovation-driven development, it is found that most of the existing literature focuses on the connotation and characteristics of big data, the status quo and problems of manufacturing innovation-driven development, and the opportunities and challenges of manufacturing big data. There are few studies on the dynamic mechanism and transmission path of big data impact manufacturing innovation drive development, and most of them stay at the theoretical level and lack the support of empirical evidence. Future research should focus on the mechanism and effect of big data on innovation-driven development of manufacturing industry, in order to provide a solid theoretical basis for building a system of deep integration of big data and manufacturing industry.

【基金】 国家社会科学基金项目:互联网驱动区域创新能力提升的效应与路径研究(项目编号:17XJL004)
  • 【文献出处】 宝鸡文理学院学报(社会科学版) ,Journal of Baoji University of Arts and Sciences(Social Science Edition) , 编辑部邮箱 ,2019年04期
  • 【分类号】F273.1;F425
  • 【下载频次】392
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