Title :
Data Mining in Corporate Governance: Ownership Structure, Structure of Board of Directors and Firm Performance
Author :
Yue, Qi ; Lan, Hai-lin ; Jiang, Luan
Author_Institution :
Bus. Adm. Sch., South China Univ. of Technol., Guangzhou
Abstract :
With a descriptive and predictive ability, data mining (DM) can discover the hidden patterns of data from a large-scale data warehouse by precise mathematical means, which is surpportable for decision making. With a structural equation model(SEM) analysis, this paper examines an important issue concerned to corporate governance - ownership structure, structure of board of directors and firm performance. Based on a sample of 520 public companies, it is found that ownership structure generally has significant effect on firm performance, with different indicators having different influence on performance, while there is no relationship between structure of board of directors and firm performance.
Keywords :
corporate modelling; data mining; data warehouses; decision making; financial management; stock markets; Chinese stock market; corporate governance; data mining; decision making; firm performance; large-scale data warehouse; managerial ownership; ownership structure; public company; shareholder ownership; structural equation model analysis; Board of Directors; Business; Data mining; Data warehouses; Databases; Decision making; Delta modulation; Large-scale systems; Mathematical model; Statistics; Corporate Governance; Data Mining; Firm Performance; Ownership Structure;
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
DOI :
10.1109/ISCID.2008.53
