Analyzing Corporate Social Responsibility Reports Using Unsupervised and Supervised Text Data Mining

Author(s):  
Monica Chiarini Tremblay ◽  
Carlos Parra ◽  
Arturo Castellanos
Author(s):  
Karen Paul ◽  
Carlos M. Parra

AbstractCorporate social responsibility has been an important theme in management at least since the 1960s. International business became a recognized subfield in management around the same time. Logically, there might have been much dialogue about corporate social responsibility in international business research and publication, yet previous reviews of the literature indicate relatively little such research. This study complements previous literature reviews by employing text data mining to analyze a sample of 1188 articles published from 2000 to 2018 in the Journal of International Business Studies (JIBS). Results show that from 2000 to 2018 only 35 CSR focused articles appeared. CSR research has increased over time, highly influenced by editorial specification of special issues. These documents can be grouped into seven CSR topics, with corruption and embeddedness being the most salient. Strategies are suggested for increasing research on CSR in international business.


Author(s):  
Carlos M Parra ◽  
Monica Tremblay ◽  
Arturo Castellanos

In this study we develop a simplified technique for helping researchers and analysts visualize the alternative prominence of term eigenvectors obtained after exploring term associations (Term Clusters) while conducting Text Data Mining on a collection to Corporate Social Responsibility (CSR) reports. The collection analyzed is comprised of CSR reports produced by 7 US firms (Citi, Coca-Cola, Exxon-Mobil, General Motors, Intel, McDonald’s and Microsoft) in 2004, 2008 and 2012. The analysis is performed by year in order to discern how the prominence of term eigenvectors has evolved for each firm and for different CSR topics. Results indicate that term eigenvectors maintain their prominence when CSR topics are related to the core business of the firm in question.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jasmine Alam ◽  
Mustapha Ibn Boamah ◽  
Yuheng Liu

Purpose This study aims to investigate the relationship between a commercial bank’s micro-loaning activity and overall performance over a 10-year period. Design/methodology/approach Quarterly data was obtained from the Wind Database, China Minsheng Banks’s official annual reports and annual corporate social responsibility reports from 2009 to 2019, to test the linear relationship between micro-loan activities and the overall financial performance of the bank. Findings The results of this study empirically demonstrate that there is a positive relationship between increases in micro-loaning activity and the overall performance of the bank. Some key recommendations for the sector are shared in the conclusion of this paper. Originality/value In the financial sector, some corporate social responsibility activities focus on the issuance of micro-loans. It is unclear, however, if this has also served as a means to increase profitability and overall performance for such institutions.


Abacus ◽  
2020 ◽  
Vol 56 (1) ◽  
pp. 3-34 ◽  
Author(s):  
Peter M. Clarkson ◽  
Jordan Ponn ◽  
Gordon D. Richardson ◽  
Frank Rudzicz ◽  
Albert Tsang ◽  
...  

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