Dynamic Mechanism of Technology Innovation in Enterprise Based on Edge Cloud Computing Technology

Author:

Li Sicong1,Cheng Zhiyu2

Affiliation:

1. Shaoyang university

2. Hunan First Normal University

Abstract

Abstract With the rapid expansion of artificial intelligence and information technology, improving the technological innovation ability of enterprises is an important means to enhance their competitiveness in the capital market. As a vital driving force leading economic development, enterprise technological innovation can further promote the improvement of production efficiency and change the mode of economic growth while promoting the liberalization of international trade. In addition, the neural network model in the field of deep learning (DL) has significant application value in guiding the flow of enterprise funds and innovation. Therefore, according to the Back Propagation neural network (BPNN) model in DL, the problems of enterprise technological innovation and industrial structure reform from the theoretical level are explored. And each constituent element of the enterprise's technological innovation and dynamic mechanism, and the interaction between the elements are deeply studied. At the same time, based on the neural network model, through the deployment and architecture of the edge computing server, the delay of network data transmission is reduced. Through the analysis of different business scenarios of edge cloud computing platforms, the service resources of the base station management platform are optimized, and the transmission speed of the network data of the enterprise communication data system is greatly improved. Since the incentive mechanism model involves government, market, industry, and school, the realization path of the incentive mechanism model is discussed based on these four factors to realize the effective operation of the incentive mechanism. The results manifest that the government and market factors can promote the technological innovation and reform of enterprises, while the industry and school factors have no significant effect on the innovation of enterprises. The research has practical application value for promoting the economic development and technological innovation reform of enterprises. Moreover, the research has a guiding significance for the application of edge cloud computing technology in enterprise technology innovation.

Publisher

Research Square Platform LLC

Reference25 articles.

1. "Towards intelligent organisations: an empirical investigation of learning orientation's role in technical innovation,";Alnuaimi M;Int J Innov Learn,2021

2. Influencing factors of energy technical innovation in China: Evidence from fossil energy and renewable energy,;Yang F;J Clean Prod,2019

3. Li R, Ramanathan R (2018) "Impacts of industrial heterogeneity and technical innovation on the relationship between environmental performance and financial performance," Sustainability, vol. 10, no. 5, pp. 1653,

4. Yan Q, "Study on the Construction and Practice of Classroom Teaching Mode of Independent Innovation (2021)," The Theory and Practice of Innovation and Entrepreneurship, vol. 4, no. 2, pp. 61,

5. Wang W, Xiao W, Bai C (2022) "Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level," Technology in Society, vol. 68, pp. 101933,

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