Open AccessRETRACTED: Research on Internal Control Demand, Supply and Supervision of Chinese Listed Companies based on Big Data Analysis
Author(s) -
Shengyang Zhou
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/3/032044
Subject(s) - big data , control (management) , business , quality (philosophy) , statistical analysis , supply and demand , data science , computer science , data mining , economics , philosophy , statistics , mathematics , epistemology , artificial intelligence , microeconomics
The demander of enterprise internal contain information comes from many aspects. Different information demand subjects have different motives. This article first conducts a theoretical and systematic analysis of the demand drivers for internal contain based on big data analysis, and then conducts a statistical analysis of the internal contain quality and information disclosure of listed companies in my country in 2018 based on big data. Finally, combined with big data, put forward targeted regulatory recommendations. As for some listed companies in our country, the requirements of internal control level are not high and the accuracy of control related information exists, we need to make outstanding contributions to this research.