文献类型：期刊文献

英文题名：A PERFORMANCE MANAGEMENT METHOD OF ENTERPRISE BLOCKCHAIN BASED ON GENETIC ALGORITHM-NEURAL NETWORK ENVIRONMENT

作者：Zhang, Bin[1]

第一作者：张博

通讯作者：Zhang, B[1]

机构：[1]Henan Univ Econ & Law, Expt Teaching Ctr Econ & Management, Zhengzhou 450046, Henan, Peoples R China

第一机构：河南财经政法大学

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Expt Teaching Ctr Econ & Management, Zhengzhou 450046, Henan, Peoples R China.|[10484]河南财经政法大学;

年份：2021

卷号：30

期号：6A

起止页码：6837-6844

外文期刊名：FRESENIUS ENVIRONMENTAL BULLETIN

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000670302800055)】；

基金：This work was financially supported by the 2017 Henan Higher Education Teaching Reform Research and Practice Key Projects -Research on the innovation of virtual simulation comprehensive training design of Business Administration Specialty under the background of informatization"(No. 2017SJGLX075).

语种：英文

外文关键词：Enterprise environment; energy saving and emission reduction; genetic algorithm; neural network; blockchain

摘要：Performance management is currently the most important link in the development of an enterprise. It has a profound impact on the cost management, energy saving, emission reduction and sustainable development of enterprises. Enterprise performance management involves a wide range of aspects and professions, and traditional management methods and evaluation results do not conform to actual conditions. In order to solve the current shortcomings in corporate performance management, a corporate blockchain performance management system based on genetic algorithm-neural network environment was proposed. This method uses genetic algorithms to optimize neural networks. The experimental results also prove that the improved algorithm shortens the convergence time and reduces operation errors. Furthermore, it can effectively reduce the operating cost of the enterprise, and realize energy conservation, emission reduction and sustainable development of the enterprise In addition, a performance management system based on blockchain technology is designed, which combines current blockchain technology with a neural network optimized by genetic algorithms. In order to verify whether the system improves the efficiency and development environment of corporate performance management, we systematically analyzed the user experience satisfaction of employees before and after using the system. That is, the anonymous method is used to statistically analyze the experience satisfaction of 500 employees of an enterprise in the five aspects of compensation system, evaluation system, management ability, employee motivation, and cost optimization before and after using the system. The results show that the satisfaction level after optimization is over 97%, which is 30% higher than before optimization. This proves that the performance management system based on blockchain technology has a positive impact on the performance management of enterprises. This system improves the cost management efficiency of the enterprise, optimizes the enterprise environment, and is conducive to energy saving, emission reduction and sustainable development of the enterprise.