Publication Type
Journal Article
Version
publishedVersion
Publication Date
4-2019
Abstract
This research article explores a text analyticsapproach to assess the prominence of corporate social responsibility in 554Singapore-listed firms through a content analysis of the news. Instead ofrelying on publications by the firms, third-party news coverage is used toreduce potential biases due to over-reporting. A dataset of news articles onthe included firms published during fiscal years 2015 and 2016 is crawled, andthe articles’ content is parsed to search for information related to corporatesocial responsibility. Graph theory is subsequently used to create acollaborative network of listed firms’ corporate social responsibilityactivities. The results highlight a more automated and scalable means ofassessing the prominence of corporate social responsibility, as well aspotential “influencers” within the corporate landscape.
Keywords
Corporate social responsibility, news, content analysis, collaborative network, Singapore Exchange, MITB student
Discipline
Accounting | Asian Studies | Business Law, Public Responsibility, and Ethics
Research Areas
Corporate Governance, Auditing and Risk Management
Publication
Asian Journal of Accounting and Governance
Volume
11
First Page
1
Last Page
19
ISSN
2180-3838
Publisher
Penerbit Universiti Kebangsaan Malaysia,National University of Malaysia Press
Citation
AZHAR, Nurul Asyikeen Binte; PAN, Gary; SEOW, Poh Sun; KOH, Andrew; and TAY, Wan Ying.
Text analytics approach to examining corporate social responsibility. (2019). Asian Journal of Accounting and Governance. 11, 1-19.
Available at: https://ink.library.smu.edu.sg/sis_research/4375
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://ejournal.ukm.my/ajac/article/view/25077
Included in
Accounting Commons, Asian Studies Commons, Business Law, Public Responsibility, and Ethics Commons