Research On The Mechanism Of Big Data To Improve Enterprise Innovation Performance Based On The Perspective Of Knowledge Management

In the era of globalization and knowledge economy,innovation plays a decisive role in the competitiveness of enterprises.The level of innovation performance has always been the focus of corporate innovation and development.With the rapid development of computer and information technology,big data has gradually become an emerging key production factor for the development and operation of enterprises,and more and more enterprises have begun to use big data to innovate their production,operation and management.Therefore,how to make good use of big data to promote the improvement of enterprise innovation performance has become the focus of scholars and managers.The existing research on the promotion of enterprise innovation by big data is mainly divided into two categories.The first category is based on a macro perspective,using theoretical research methods to sum up the basic model of big data to promote enterprise development and innovation.The other is based on a micro perspective,using case studies to analyze the specific process of successful companies applying big data to improve their innovation performance.However,neither of these two types of perspectives have strong theoretical guidance for management practice.Therefore,studying big data from a new theoretical perspective to promote the improvement of enterprise innovation performance has gradually become the research and development direction of academia and enterprises.According to existing research,data itself is irrelevant numbers or symbols at the basic level.Enterprises mine information from massive data(big data),and then transform the information into knowledge through structural processing,and finally form wisdom.Therefore,The essence of big data is knowledge.Knowledge management has become an important perspective to explore the internal mechanism of big data to promote enterprise innovation performance.In view of this,this research is based on the concept of knowledge foundation and from the perspective of knowledge attributes,it points out that the dominant,heterogeneous,and complete knowledge attributes of big data after cleaning and screening are used as independent variables,and knowledge integration is introduced.As intermediary variables,enterprise technological capabilities and iterative innovation capabilities are used as moderating variables to construct theoretical models,and then to explore the internal mechanism of big data to promote enterprise innovation performance.This research mainly includes the following contents: First,the literature combing and reviewing the concepts,measurement and related research of variables such as big data and knowledge attributes,knowledge integration,enterprise technological capabilities,iterative innovation capabilities and enterprise innovation performance;secondly,the hypothetical relationship among variables such as the dominance/heterogeneity/completeness of big data,knowledge integration,enterprise technology capabilities,iterative innovation capabilities,and enterprise innovation performance are reasoned to construct theoretical models;Thirdly,empirical test of sample data is conducted through statistical software,and the results show that: when big data has the characteristics of dominance,heterogeneity and completeness,it can significantly improve the innovation performance of the enterprise;knowledge integration has the above influence relationship Middle is the key intermediary link: the dominance/heterogeneity and/integrity of big data are formed through the intermediary mechanism of knowledge integration;the dominance of big data and the heterogeneity of big data It plays a positive role in the relationship between Integrity and knowledge integration,and iterative innovation ability plays a positive role in the relationship between the dominance of big data,the heterogeneity of big data,the integrity of big data and the relationship of knowledge integration.Finally,it proposes management enlightenment and development direction from both internal and external aspects of the enterprise,and points out future research prospects for the lack of research.