Open AccessRecognition and Selection of Governance Modes of Private Listed Enterprises Based on BP Neural Network.
Author(s) -
Jieying Wang,
Zhenjin Li,
Yidan Chen,
Zhiqiang Zhou,
Shun Li
Publication year - 2022
Publication title -
international journal of computer and communication technology
Language(s) - English
Resource type - Journals
eISSN - 2231-0371
pISSN - 0975-7449
DOI - 10.47893/ijcct.2022.1423
Subject(s) - corporate governance , private equity , business , equity (law) , private equity firm , equity capital markets , accounting , private equity fund , capital market , capital (architecture) , finance , political science , archaeology , law , history
Exploring the governance modes of private listed enterprises, this paper divides private listed enterprises into categories of small, medium and large. The governance modes of private listed enterprises can be divided into 9 categories according to two different management intensities of equity capital governance and manpower capital governance. The 9 categories of governance modes of private listed enterprises are identified by using the BP neural network mode. This paper analyses the evolution of private listed companies’ governance modes at different scales and analyses various governance modes. Therefore, small, medium and large private listed companies choose the “strong equity and weak manpower”, “moderate equity and moderate manpower” and “weak equity and moderate manpower” governance modes, respectively. This paper comparatively analyses the governance efficiency of governance modes at different scales. The results show that “moderate equity and moderate manpower” is the most effective management mode for all three scales.