Impact Of Big Data Capability On Innovation Performance Of Employees

In the background of the big data era,big data is leading to disruptive changes in people’s production and life,the current market environment is also more complex and changeable.If enterprises want to operate for a long time under the current background,they must seek self-breakthrough and innovation to enhance their competitiveness.Employees are an important part of the enterprise,and also an important participant in enterprise innovation activities,which urge the progress of all aspects of the enterprise.Therefore,how to improve the innovation performance of employees is of great significance to the development of enterprises,which is also the focus of this paper.First of all,based on the background of big data era and dynamic capability theory,this paper holds that the big data capability of enterprises plays a significant role in the process of stimulating employees’ innovation performance.The level of big data capability reflects the degree of importance that the enterprise attaches to the resource acquisition,analysis and integration,and application of big data.It is a specific manifestation of whether the enterprise can adapt to and utilize the era of big data,also shows the business philosophy and management behavior of the enterprise from the side.It is an important variable to promote employees’ innovation performance.Secondly,based on the knowledge-based view,big data capability can provide a variety of channels to help employees acquire and learn all kinds of cutting-edge knowledge,broaden their horizons,promote knowledge absorption and transfer,and lay the foundation for individual innovation.Finally,innovation is a relatively flexible activity.If employees have a high degree of autonomy during their work,for example,they can arrange the work schedule according to their personal needs,and choose the way to carry out their work according to their personal preferences,then employees will have higher convenience to implement innovation,which is easier to promote innovation performance.Therefore,this paper takes employees as the research object,deeply explores the impact mechanism of big data capability on employee innovation performance,and examines the specific role of knowledge transfer and job autonomy in its impact mechanism.It is expected to provide some suggestions for enterprises to improve human resource management and stimulate innovation performance.Based on the existing literature,this study constructs a framework model that takes enterprise big data capability as the independent variable,employee innovation performance as the outcome variable,knowledge transfer as the mediating variable,and job autonomy as the moderator variable,and then puts forward the corresponding hypotheses.403 valid questionnaires from employees in Shanghai,Jiangsu and Zhejiang were collected for data analysis referring to mature scales.It mainly includes the following four steps: the first step is to understand the basic situation of the sample and the basic situation of big data capability,knowledge transfer,job autonomy and employee innovation performance through descriptive statistical analysis.The second step is to verify the reliability of the scales and the model by analyzing the reliability and validity of each scale and the discriminant validity of the model.The third step is to judge the difference of knowledge transfer and big data capability in demographic variables through difference test,and determine the control variables in regression analysis.The fourth step is to explore the role of big data capability in employee innovation performance through correlation analysis and regression analysis,and examine the mediating role of knowledge transfer and the moderating role of job autonomy.The results of empirical analysis show that: the reliability and validity of the scale used in this study reach good standards,indicating that the questionnaire data can be further analyzed;Four demographic variables included gender,age,marital status,and tenure of service,which have significant impact on the mediating variable and the outcome variable,are selected as the control variables in hierarchical regression analysis;big data capability significantly improves knowledge transfer and employee innovation performance;Knowledge transfer significantly improves innovation performance,and partially mediates the impact of big data capability on innovation performance;job autonomy plays a positive moderating role in the impact of resource acquisition capability and application capability on innovation performance,but the moderating role is not significant in the impact of analysis and integration capability on innovation performance.Based on the above analysis results,this paper gives some suggestions on enterprise innovation management and human resource management,and explores the innovations and the insufficiencies,so as to point out directions for future research.