Identifying Topics on Social Impact from S&P1500 CSR/ESG Reports

Farukh Hamza, Ping Yu Hsu, Wan Yu Yang, Ming Shien Cheng, Yu Chun Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

The standard of measuring the social impact of an organization is actually not fully developed in theory and practice. Then what should be contained in social impact? As the social impact is subjective, and even hard to be defined and measured, there is no consensus on it to-date. Therefore, we expect to let the entrepreneur know what’s the trending topic when mentioning the social impact in the business community. This study uses the CSR/ESG report of S&P 1500, and uses the Latent Dirichlet Allocation to analyze the topics. We confirmed the number of topics with the topic coherence score, and also improved the topic coherence score to 0.482. The five topics analyzed by the experimental results are “Safety and Health Initiatives in Education”, “Brand Equity”, “Water Economy”, “Community-based supports and services”, “Social Business”. The process of naming the subject of this research not only refers to two books which can represent the social impact, and also invites other researchers to name it independently, both are different from previous researchers, and would be more objective as well.

原文???core.languages.en_GB???
主出版物標題Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Proceedings
編輯Katsuhiro Honda, Bac Le, Van-Nam Huynh, Youji Kohda, Masahiro Inuiguchi
發行者Springer Science and Business Media Deutschland GmbH
頁面243-254
頁數12
ISBN(列印)9783031467806
DOIs
出版狀態已出版 - 2023
事件10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023 - Ishikawa, Japan
持續時間: 2 11月 20234 11月 2023

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
14376 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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???event.eventtypes.event.conference???10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023
國家/地區Japan
城市Ishikawa
期間2/11/234/11/23

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