Abstract
In recent years, the status of agricultural enterprises in the social economy has become increasingly prominent and has become an important foundation for ensuring people's lives. Through the value chain theory and the neural network algorithm in the computer network model, the internal mechanism of the improvement of the core competitiveness of agricultural enterprises is analyzed, and the organizational costs and competitive advantages of agricultural enterprises are analyzed from a positive and rational point of view. The agricultural enterprises clarify the organization of the value chain Strategy, optimizing organizational functions, shaping organizational brand, and shifting development goals to rural supply-side reform; realizing the transformation of operating characteristics from "homogeneity" to "individualization" in core competitiveness, realizing the transformation from "quantity growth" to "quality improvement" Transform, enhance the intrinsic value and competitive advantage, and then enhance the core competitiveness of agricultural enterprises.
Author supplied keywords
Cite
CITATION STYLE
Fan, P., Wang, Y., & Lv, Q. (2020). Research on value chain theory and evaluation of agricultural enterprises’ core competitiveness based on neural network. In Journal of Physics: Conference Series (Vol. 1648). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1648/2/022197
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.