Fuzzy Governance Model
This article aims to analyze the functions of corporate governance agents as a key part of the study and evaluation of the internal control by the independent auditor to propose a governance fuzzy model based on legality. This is a descriptive–hermeneutical study based on mercantile-securities law,...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-02-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/9/5/481 |
| _version_ | 1827588171522637824 |
|---|---|
| author | Enriqueta Mancilla-Rendón Carmen Lozano Enrique Torres-Esteva |
| author_facet | Enriqueta Mancilla-Rendón Carmen Lozano Enrique Torres-Esteva |
| author_sort | Enriqueta Mancilla-Rendón |
| collection | DOAJ |
| description | This article aims to analyze the functions of corporate governance agents as a key part of the study and evaluation of the internal control by the independent auditor to propose a governance fuzzy model based on legality. This is a descriptive–hermeneutical study based on mercantile-securities law, the code of best practice of corporate governance, and auditing standards. The research design is cross-sectional and uses fuzzy logic theory as an alternative tool in contrast to classical mathematical models. The results suggest that corporate governance agents strongly influence the application of a management system. Evidence is given regarding the positive relationship between the functions of corporate governance agents as a management system. Additionally, the importance of an internal control management system as an inherent mechanism for governance is proven. The scientific value of this work lies in showing how the interaction between the application of mathematical models based on fuzzy set theory and the qualitative attributes of internal control policies and practices. It is a tool to evaluate governance as a management system for decision making. This work emphasizes that a model based on fuzzy sets is useful to evaluate a management system of internal control policies and procedures necessary to improve corporate governance. |
| first_indexed | 2024-03-09T00:30:38Z |
| format | Article |
| id | doaj.art-950c09445f0949ce959e1279d60238c8 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T00:30:38Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-950c09445f0949ce959e1279d60238c82023-12-11T18:33:36ZengMDPI AGMathematics2227-73902021-02-019548110.3390/math9050481Fuzzy Governance ModelEnriqueta Mancilla-Rendón0Carmen Lozano1Enrique Torres-Esteva2Dirección de Investigación, Universidad La Salle México, Ciudad de México 25298, MexicoDirección de Investigación, Universidad La Salle México, Ciudad de México 25298, MexicoFacultad de Negocios, Universidad La Salle México, Ciudad de México 25298, MexicoThis article aims to analyze the functions of corporate governance agents as a key part of the study and evaluation of the internal control by the independent auditor to propose a governance fuzzy model based on legality. This is a descriptive–hermeneutical study based on mercantile-securities law, the code of best practice of corporate governance, and auditing standards. The research design is cross-sectional and uses fuzzy logic theory as an alternative tool in contrast to classical mathematical models. The results suggest that corporate governance agents strongly influence the application of a management system. Evidence is given regarding the positive relationship between the functions of corporate governance agents as a management system. Additionally, the importance of an internal control management system as an inherent mechanism for governance is proven. The scientific value of this work lies in showing how the interaction between the application of mathematical models based on fuzzy set theory and the qualitative attributes of internal control policies and practices. It is a tool to evaluate governance as a management system for decision making. This work emphasizes that a model based on fuzzy sets is useful to evaluate a management system of internal control policies and procedures necessary to improve corporate governance.https://www.mdpi.com/2227-7390/9/5/481governancefuzzy logicmanagement system |
| spellingShingle | Enriqueta Mancilla-Rendón Carmen Lozano Enrique Torres-Esteva Fuzzy Governance Model Mathematics governance fuzzy logic management system |
| title | Fuzzy Governance Model |
| title_full | Fuzzy Governance Model |
| title_fullStr | Fuzzy Governance Model |
| title_full_unstemmed | Fuzzy Governance Model |
| title_short | Fuzzy Governance Model |
| title_sort | fuzzy governance model |
| topic | governance fuzzy logic management system |
| url | https://www.mdpi.com/2227-7390/9/5/481 |
| work_keys_str_mv | AT enriquetamancillarendon fuzzygovernancemodel AT carmenlozano fuzzygovernancemodel AT enriquetorresesteva fuzzygovernancemodel |