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数据赋能研究现状及未来展望
引用本文:孙新波,苏钟海,钱雨,张大鹏.数据赋能研究现状及未来展望[J].研究与发展管理,2020,32(2):155-166.
作者姓名:孙新波  苏钟海  钱雨  张大鹏
作者单位:东北大学 工商管理学院,东北大学 工商管理学院,,
基金项目:国家自然科学基金项目“互联网效应下基于众包模式的协同激励机制研究”(71672029);国家社会科学基金项目“信息网络技术驱动中国制造业转型战略、路径与支撑体系研究”(16ZDA013).
摘    要:数据赋能是企业数字化转型的关键,数据及数据技术的发展推动了数据赋能研究,但已有研究存在概念混用、体系混乱等问题,阻碍了数据赋能研究的进一步发展。本文结合文献研究法,厘清数据赋能的概念基础,分析数据赋能的研究现状,并展望数据赋能未来的发展方向。研究表明,数据赋能概念的定义需要关注系统的整体性,基于国内情境的数据赋能研究的理论基础是资源基础理论和动态能理论,与信息处理理论存在理论相似,而基于国外情境的数据赋能研究的理论基础则是激励理论,并与包容性创新理论存在理论相似。最后,针对本土情境从基础研究、研究方法与模型和应用研究等方面对数据赋能未来研究方向进行展望。

关 键 词:数据赋能  概念基础  研究现状  研究展望
收稿时间:2018/12/18 0:00:00
修稿时间:2019/10/26 0:00:00

Research Review and Prospects of Data Empowerment
SUN Xin-bo,SU Zhong-hai,QIAN Yu,ZHANG Da-peng.Research Review and Prospects of Data Empowerment[J].R&d Management,2020,32(2):155-166.
Authors:SUN Xin-bo  SU Zhong-hai  QIAN Yu  ZHANG Da-peng
Institution:(School of Business Administration,Northeastern University,Shenyang 110169,China)
Abstract:Data empowerment is considered as the key to digital transformation of enterprises in the data age. The development of data and data technology has been promoting the research on data empowerment. However, there exists many problems such as mis-used concepts and chaotic system on data empowerment research, these have brought huge challenge to the further development of data empowerment research. In this regard, by combining the method of literature research, this study sorted out the conceptual basis of data empowerment, analyzed the research status of data empowerment, and forecasted its future development directions. The results indicate that the definition of data empowerment concept should pay attention to the integrity of the system. The findings also emphasize that the theoretical basis of data empowerment research based on domestic context is resource-based theory and dynamic energy theory and also has theoretical similarity with information processing theory, while that based on foreign context is motivation theory and has theoretical similarity with inclusive innovation theory. Finally, the future research directions of data empowerment were forecasted from three aspects: basic research, research methods and models, and applied research.
Keywords:data empowerment  conceptual basis  research actuality  research prospects
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