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

doi:10.1007/978-3-031-46781-3_21

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Proceedings
Editors	Katsuhiro Honda, Bac Le, Van-Nam Huynh, Youji Kohda, Masahiro Inuiguchi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	243-254
Number of pages	12
ISBN (Print)	9783031467806
DOIs	https://doi.org/10.1007/978-3-031-46781-3_21
State	Published - 2023
Event	10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023 - Ishikawa, Japan Duration: 2 Nov 2023 → 4 Nov 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14376 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023
Country/Territory	Japan
City	Ishikawa
Period	2/11/23 → 4/11/23

Keywords

CSR
Corporate Social Responsibility
ESG
LDA
S&P 1500
SDGs
Social Impact
Sustainability
Topic Analysis
Topic Coherence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-46781-3_21

Cite this

Hamza, F., Hsu, P. Y., Yang, W. Y., Cheng, M. S., & Chen, Y. C. (2023). Identifying Topics on Social Impact from S&P1500 CSR/ESG Reports. In K. Honda, B. Le, V.-N. Huynh, Y. Kohda, & M. Inuiguchi (Eds.), Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Proceedings (pp. 243-254). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14376 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-46781-3_21

Hamza, Farukh ; Hsu, Ping Yu ; Yang, Wan Yu et al. / Identifying Topics on Social Impact from S&P1500 CSR/ESG Reports. Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Proceedings. editor / Katsuhiro Honda ; Bac Le ; Van-Nam Huynh ; Youji Kohda ; Masahiro Inuiguchi. Springer Science and Business Media Deutschland GmbH, 2023. pp. 243-254 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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{\textquoteright}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.",

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Hamza, F, Hsu, PY, Yang, WY, Cheng, MS & Chen, YC 2023, Identifying Topics on Social Impact from S&P1500 CSR/ESG Reports. in K Honda, B Le, V-N Huynh, Y Kohda & M Inuiguchi (eds), Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14376 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 243-254, 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, Ishikawa, Japan, 2/11/23. https://doi.org/10.1007/978-3-031-46781-3_21

Identifying Topics on Social Impact from S&P1500 CSR/ESG Reports. / Hamza, Farukh; Hsu, Ping Yu; Yang, Wan Yu et al.
Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Proceedings. ed. / Katsuhiro Honda; Bac Le; Van-Nam Huynh; Youji Kohda; Masahiro Inuiguchi. Springer Science and Business Media Deutschland GmbH, 2023. p. 243-254 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14376 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hamza, Farukh

AU - Hsu, Ping Yu

AU - Yang, Wan Yu

AU - Cheng, Ming Shien

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N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

PY - 2023

Y1 - 2023

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AB - 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.

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Hamza F, Hsu PY, Yang WY, Cheng MS, Chen YC. Identifying Topics on Social Impact from S&P1500 CSR/ESG Reports. In Honda K, Le B, Huynh VN, Kohda Y, Inuiguchi M, editors, Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 243-254. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-46781-3_21

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

Abstract

Publication series

Conference

Keywords

UN SDGs

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