ISSN 2756-3634
International Journal of Accounting, Auditing and Taxation ISSN: 2756-3634 Vol. 6 (4), pp. 001-009, April, 2019. © International Scholars Journals
Full Length Research Paper
Corporate governance assessment in company board structure
Low Lock Teng*, Law Kian Aun and Ong Seng Fook
Faculty of Accountancy and Management, UTAR University, Malaysia.
Accepted 24 November, 2018
Abstract
There is a plethora of publications on Corporate Governance (CG) in today’s business world press. While many corporate companies have been practicing corporate governance, the justification for good corporate governance must be a greater concern rather than mere corporate transparency. Rankings in corporate governance become an important issue to oversee/judge companies who practice governance. Fuzzy logic is a powerful tool that has been used in diverse fields of applications ranging from engineering to business or finance. This paper applies the tools of fuzzy logic to design an approach that will rate the level of application of CG. Financial Disclosure (FD) and Board Structure (BS) will be the key variables that would be employed to achieve this task. The integration of a fuzzy logic model to CG will be highlighted graphically in order to enhance the findings of the research.
Key words: Corporate governance, fuzzy logic, financial disclosure, board structure.