• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Computer Science and Software Engineering >Data Mining in the Relation between Ownership Structure and Firm Performance: A Structural Equation Model Analysis of Chinese Public Companies in Manufacturing Industry
【24h】

Data Mining in the Relation between Ownership Structure and Firm Performance: A Structural Equation Model Analysis of Chinese Public Companies in Manufacturing Industry

机译：数据挖掘在所有制结构与企业绩效关系中的关系：中国上市制造业的结构方程模型分析

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Data mining, as an important skill which can discover the hidden patterns of data from a large quantity of data by precise mathematical means, can be used for decision making in corporate governance. This paper, with a structural equation model analysis, studies the relation between ownership structure and firm performance. Focusing on the public companies in Chinese manufacturing, ownership structure has no significant effect on firm performance, which shows controversy with previous studies. It is suggested that the small number of internal ownership can not make the ownership motivation effect happen on managers. It can be proposed that Chinese manufacturing companies should improve ownership structure, especially the extent of internal ownership, to resolve the problem of agency and principals and get high firm performance.
机译：数据挖掘，作为通过精确的数学手段从大量数据发现来自大量数据的隐藏数据的重要技能，可用于公司治理的决策。本文采用了结构方程式模型分析，研究了所有权结构与公司性能之间的关系。专注于中国制造业的上市公司，所有权结构对公司性能没有显着影响，这表明与以前的研究有争议。有人建议，少数内部所有权不能使得经理造成所有权的动力效应。可以提出中国制造公司应提高所有权结构，特别是内部所有权的程度，解决机构和校长的问题，并获得高度坚定的绩效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号