The innovation of enterprise management model has increasingly become one of the important sources of competitive advantage for enterprises. At present, the market environment is changing rapidly, and information technology is changing the nature and structure of enterprise competition. In the competitive landscape of enterprises under the background of network economy, only relying on technological innovation can no longer meet the needs of enterprise development. In recent years, the successful practice of a large number of enterprises has shown that the innovation of enterprise management mode is also an indispensable and important factor to promote the sustainable development of enterprises. In the new format of competition among enterprises, the innovation of enterprise management mode is playing an important role. Scholars have very rich research contents on the innovation of enterprise management model. First, they focus on the research between the innovation of enterprise management model and the value creation of enterprises. They believe that determining the structure of new business and innovation of enterprise management model can create value for enterprises. The innovation of enterprise management model can effectively explain the differences in enterprise performance; secondly, the research of enterprise management model innovation has been extended to its classification research; that is, different types of enterprise management model innovation have different effects on performance; finally, in the existing research, in this paper, some progress has been made in the exploration of the mediating variables between enterprise management model innovation and performance. The example verification shows that the performance of the momentum-adaptive algorithm is the best. Using the BP network model can effectively evaluate the innovation of enterprise management mode and performance indicators, so as to guide the implementation of enterprise management mode innovation activities. Although this paper has made some innovative achievements, there are still many limitations and deficiencies in the research. The depth of literature search, the breadth of data measurement collection, and the subjectivity of questionnaires will affect the accuracy of the results. The practicality of the research results needs to be further improved in the follow-up research.