scholarly journals Application of Evidential Reasoning Approach in Enterprise Performance Evaluation System

Author(s):  
Tiantian Bao ◽  
Ruijia Zhao ◽  
Yue Yu
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Honglin Fu

This paper uses a multidimensional big data matrix model to optimize the analysis and conduct a systematic construction of the enterprise performance evaluation system. The adoption of new research methods and perspectives to promote the study of the use of performance information is of great significance to achieve the effectiveness, science, and sustainability of corporate performance management. To solve the problem of objectivity and scientificity of performance information use, this part attempts to analyze performance information use from the perspective of the multidimensional big data matrix, focusing on the techniques and methods in the process of promoting performance information use from the multidimensional big data matrix and tries to construct a system model of enterprise performance information use from two dimensions: the use of performance information sources and the use of performance information results. Based on multiple theoretical hypotheses, a theoretical and empirical basis is provided for the division of demand dimensions of enterprise performance evaluation system. Through social capital theory, three dimensions of network social capital, cognitive social capital, and structural social capital are hypothesized, and the logistic regression method is applied for empirical study. The results show that these three dimensions have significant effects on the knowledge demand of enterprise performance evaluation systems. It is verified that the multidimensional big data matrix can enhance the quality of performance information sources and improve the objectivity of performance information. In the performance information source use dimension, the analysis verified that the collection and preprocessing technology of big data can realize the automation, real-time, and diversification of information collection and preprocessing, and enhance the objectivity of performance information. Big data helps to improve the quality and effectiveness of performance information results use. In the dimension of using performance information results, the distributed computing and analysis processing technology of big data can assist the decision support system, and the use of information can be shifted from micromanagement to decision support, to realize the scientific use of performance information and improve the quality of enterprise management decisions.


2020 ◽  
Vol 4 (1) ◽  
pp. 55
Author(s):  
Yuhao Gong

In order to further improve the enterprise performance evaluation system, it is necessary to study the application value of EVA management system in China's listed companies. Based on the data of ICBC from 2016 to 2018, this paper uses EVA method to evaluate and analyze it.


2013 ◽  
Vol 448-453 ◽  
pp. 4376-4381
Author(s):  
Jing Wen An ◽  
Xiu Ling Zhang ◽  
Yu Jie Wang

China's coal enterprises attach great importance to the sustainable development strategy, they also enhance the consciousness of corporate social responsibility, however, performance evaluation management at present has not yet been formed a set of evaluation index system which reflects corporate performance and the coordinated and sustainable development of the environment. Based on this, this paper summarized scholars theory on enterprise performance evaluation and built a coal enterprise performance evaluation system from the perspective of social responsibility; And using Analytical Hierarchy Process (AHP) to determine the weight of evaluation; And using comprehensive evaluation to analyze index system, which shows that the firm's ability to decrease cost and increase efficiency in the industry are relatively poor, and the score of noise intensity, green area and solid waste emissions is not good.


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