Research on Enterprise Management Model Innovation under the Background of Big Data Era
Xu Li 1, Yao Fan 1,
and
Xu Mei 2
1. Business school of Jiangxi Normal University, China
2. Nanchang University College of Science and Technology, China
2. Nanchang University College of Science and Technology, China
Abstract—Economic globalization, Internet + and the continuous development of big data provide opportunities for the survival and development of enterprises on the one hand, but also bring more challenges to enterprises. With the development and progress of the times,, it is not difficult to find that the traditional management mode is not suitable for a fast-developing society. The stable development of enterprises is inseparable from the innovation of enterprise management mode. This paper summarizes the relevant theories of enterprise management model innovation in the context of big data through literature review, and finds out the problems such as enterprise management philosophy and lack of big data talents in the current stage of enterprise management model under the background of big data, And through the comparison of pre- and post-effects of enterprises using big data analysis, it is proposed that in the operation and decision-making of enterprises, it is necessary to combine the big data foundation to innovate the enterprise management model, such as adopting the construction data management platform, introducing excellent talents, etc. Provide reference for enterprise development.
Index Terms—big data, management model, enterprise management, management innovation
Cite: Xu Li, Yao Fan, and Xu Mei, "Research on Enterprise Management Model Innovation under the Background of Big Data Era," Journal of Advanced Management Science, Vol. 7, No. 3, pp. 107-112 September 2019. doi: 10.18178/joams.7.3.107-112
Cite: Xu Li, Yao Fan, and Xu Mei, "Research on Enterprise Management Model Innovation under the Background of Big Data Era," Journal of Advanced Management Science, Vol. 7, No. 3, pp. 107-112 September 2019. doi: 10.18178/joams.7.3.107-112