EconPapers    
Economics at your fingertips  
 

Corporate Social Responsibility and Corporate Performance: A Hybrid Text Mining Algorithm

Mushang Lee () and Yu-Lan Huang ()
Additional contact information
Mushang Lee: Department of Accounting, Chinese Culture University, Taipei 11114, Taiwan
Yu-Lan Huang: Graduate Institute of International Business Administration, Chinese Culture University, Taipei 11114, Taiwan

Sustainability, 2020, vol. 12, issue 8, 1-1

Abstract: Until now, the works regarding the relationships between corporate operating performance and corporate social responsibility (CSR) could not reach a conclusive result (positive, natural, and negative). This circumstance can be attributed to two main reasons: (1) inadequate performance measurement and (2) ignoring the multi-dimensional nature of CSR. To combat this, we provided a hybrid decision framework that consisted of two main procedures: (1) performance measurement via linear programming algorithm and (2) CSR’s multi-dimensional nature extraction via text mining. By joint utilization of a linear programming algorithm and text mining, we could gain more insights from the outcome. The proposed decision framework, tested by real cases, is a promising alternative method for performance prediction. Managers can take this model as a roadmap and allocate resources to suitable places, as well as reach the goal of sustainable development.

Keywords: corporate social responsibility; decision-making; performance; text mining (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/8/3075/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/8/3075/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:8:p:3075-:d:344317

Access Statistics for this article

Sustainability is currently edited by Prof. Dr. Marc A. Rosen

More articles in Sustainability from MDPI, Open Access Journal
Bibliographic data for series maintained by XML Conversion Team ().

 
Page updated 2021-01-05
Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3075-:d:344317