Apply Text Mining Technology to Analyzing Validity of Green Technology of Taiwan Corporate Social Responsibility Report

• Main Authors: JHIH-WEI LIAO, 廖智偉
• Other Authors: Shi-Ming Huang
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/6v86ew

碩士 === 國立中正大學 === 資訊管理學系暨研究所 === 101 === Text mining techniques in recent years has begun to be applied to the field of management, based on the analysis of the research is conducted in the period 2007-2010 many domestic scholars have associated text mining techniques in business applications, supervision of capital markets financial and business information wisdom, business valuation, enterprise risk management, as well as news for the market reaction, however, of less public offering of corporate governance and information disclosure. However, the impact of climate change ,international environmental consciousness gradually rising, many companies that a gradual awareness of green technology, enterprises to implement green technology can reduce the company's cost of risk and reduce operating costs, for company stakeholders concerned, investment decisions more than just look at the financial aspects, more relevant non-financial information to evaluate the company's enterprise value. In this study, design science method was proposed based on the use of text mining Zhu-Wen Zhen, Hong-Ling Ya mention green technology architecture as ontology, proposed to use text mining analysis of information disclosure mode, text retrieval mechanisms to automate the analysis, analysis of corporate social responsibility corporate contents of the report, understanding enterprises to implement policies related to green technology, enable investors or stakeholders can make decisions by considering the results of this study. The outcomes of this project hope to provide innovative academic research, but also can be used as observation related to green technology-oriented to understand the risks the company may face in the future.