Title
The strengthening of corporate governance based on applied fuzzy logic
Date Issued
01 September 2022
Access level
metadata only access
Resource Type
journal article
Publisher(s)
John Wiley and Sons Ltd
Abstract
Despite advances in research on corporate governance, there are still knowledge gaps. The article aims to broaden the debate on strengthening corporate governance and propose a tool to facilitate decision-making. The research is novel because of the engagement of 117 master's students from a business school, contributing to competency-based learning on Good Corporate Governance (GCG). This is applied research with the explanatory objective and quantitative approach through modeling and simulation. The OWA Operator assesses GCG principles' adequacy and reveals a ranking of 28 enterprises listed on the Lima Stock Exchange in corporate governance, increasing transparency and reducing risks. The results indicate that six enterprises would be solid in the GCG, and the corporate governance should consider strategic capability, fair dealing, transparency, and good social responsibility practices. The main contributions are reducing the identified knowledge gaps and proposing actions to strengthen governance. The authors suggest promising lines of research.
Start page
1736
End page
1746
Volume
29
Issue
5
Language
English
OCDE Knowledge area
Administración pública Negocios, Administración
Scopus EID
2-s2.0-85130710211
Source
Corporate Social Responsibility and Environmental Management
ISSN of the container
15353958
Source funding
National Natural Science Foundation of China
Sponsor(s)
The authors would like to thank CENTRUM Católica Graduate Business School and the 117 master's degree students who collaborated in this research. This study was supported by the National Natural Science Foundation of China (82002773 and 81902320).
Sources of information: Directorio de Producción Científica Scopus