Text-mining Application on CSR Report Analytics: A Study of Petrochemical Industry

被引:8
作者
Liu, Sheng-Hung [1 ]
Chen, Sih-Yu [1 ]
Li, Sheng-Tun [1 ]
机构
[1] Natl Cheng Kung Univ, Dept Ind & Informat Management, Tainan, Taiwan
来源
2017 6TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI) | 2017年
关键词
Corporate Social Responsibility; text-mining; Global Reporting Initiative;
D O I
10.1109/IIAI-AAI.2017.164
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the past few years, corporations have reinforced the importance of responsibility and promise fulfillment. Hence, traditional benefit-based management that focused on financial statements and organizations' own interests no longer suffices in our society. Therefore, Corporate Social Responsibility (CSR) is starting to be taken more seriously. Due to 2014 pipeline explosion in Kaohsiung City and the food safety problem in Taiwan, corporate images have been affected in various degrees and suffer from certain negative impacts. This study conducts text-mining to determine the benchmark of environment performance indicators defined in the Global Reporting Initiative (GRI) from Top 50 petrochemical industries, and advise an example model to learning for the petrochemical industry's CSR reports with valuable information to decide on decision making and strategy planning.
引用
收藏
页码:76 / 81
页数:6
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