Study On Measurement Dimension And Influencing Factors Of Big Data Capability In Manufacturing Enterprises

Accelerating the development of the digital economy,and promoting the integration of the real economy and the digital economy is an important direction for the future development of China's economy.Developing the digital economy,the key is to improve the big data capability.At present,more and more manufacturing companies are actively exploring the application of big data in specific businesses.Decision-making has begun to change from“business-driven” to “data-driven,” and some companies' big-data projects have already landed.However,there are still many companies in the period of exploration of big data capabilities.Few scholars at home and abroad have quantitatively studied the big data capability and its influencing factors.Therefore,it is greatly significant to deeply explore the measurement of big data capability and the influencing factors.This study combines dynamic capability with big data research,defines the connotation of enterprise's big data capabilities,and infers its structural dimensions,and develops a big data capability measurement scale based on existing research results.Based on resource-based theories and institutional theories,this paper identifies and validates the key influencing factors of the company's big data capabilities,provides theoretical support and practical inspiration for manufacturing companies to develop big data capabilities and acquire sustainable competitive advantages.In order to achieve the purpose above-mentioned,this study mainly adopts the method of combining qualitative and quantitative research.Through literature review and survey interviews,this paper defines the connotation and structure dimensions of big data capabilities and develops an initial big data capability measurement scale.This paper builds a theoretical models of big data capability influencing factors based on grounded theory research methods.Data was collected through questionnaire survey and the key influencing factors were analyzed empirically using SPSS19.0 and AMOS20.0 software.First,this paper use exploratory factor analysis and confirmatory factor analysis to test the reliability and validity of the scale.Then,this paper tests the main effects of influencing factors on the company's big data capabilities through the structural equation model.Finally,this paper uses multiple regression analysis to examine the modulating effects of environmental turbulence.Through the above research,this article mainly draws the following conclusions:First,this paper proposes a hierarchical structure model of big data capabilityfrom the perspective of capability hierarchy.The big data capability of enterprises can be divided into three dimensions: big data foundation capability,big data application capability and big data development capability,and there are interactions among all dimensions.Second,according to resource-based theory and institutional theory,it is identified that resource factors,institutional factors,and environmental factors are important factors that influence the formation and development of corporate big data capabilities based on grounded theory.Resource factors can be extracted enterprise assets,organizational knowledge and organizational capabilities.Institutional factors can be extracted as regulatory system,normative system and cultural cognition system.Environmental factors are mainly manifested as environmental turbulence.Third,constructing and testing the key influence factors of enterprise big data capabilities model,this paper finds the enterprise assets(data resources,human resources),organizational knowledge and organizational ability(strategic flexibility,network capability),organizational learning and market orientation have a positive effect on the enterprise big data capability.However,the risk appetite of senior management team and big data infrastructure do not have a significant driving effect on the company's big data capabilities.Environmental turmoil is positively adjusting the impact of corporate assets,organizational knowledge,strategic flexibility,network capabilities,and risk appetite of senior management teams on corporate big data capabilities,while there is no significant regulatory effect of market orientation on corporate big data capabilities.