Credit granting sorting model for financial organizations
Abstract Considering the environment of risks and influences inherent in the decision-making process for credit-granting operations, it has become a matter of survival for financial organizations to seek to improve how they engage in effective decision-making to ensure that their returns on invested...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2022-02-01
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| Series: | Financial Innovation |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40854-021-00315-4 |
| _version_ | 1818499461153816576 |
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| author | Paulo Cesar Schotten Leydiana de Sousa Pereira Danielle Costa Morais |
| author_facet | Paulo Cesar Schotten Leydiana de Sousa Pereira Danielle Costa Morais |
| author_sort | Paulo Cesar Schotten |
| collection | DOAJ |
| description | Abstract Considering the environment of risks and influences inherent in the decision-making process for credit-granting operations, it has become a matter of survival for financial organizations to seek to improve how they engage in effective decision-making to ensure that their returns on invested capital will meet the expectations established at the beginning of the process. A credit-granting sorting model for financial organizations is proposed. The model aggregates the perspectives of different decision-makers to support an organization in the process of credit analysis and, consequently, to improve its operationality. The decision-making model is based on the ELECTRE TRI-B multicriteria method. It sorts credit-granting proposals into three classes, namely credit approved, technical analysis, and credit rejected. The group decision emerges from the decision rules of the organization’s executive board. This new proposed approach to dealing with credit-granting results in the systematization of credit analysis, reduction of doubt among decision-makers, avoidance of the emergence of informal groups, reduction of conflicts within a financial organization, and external interferences. |
| first_indexed | 2024-12-10T20:29:47Z |
| format | Article |
| id | doaj.art-4335ec9189f94d40a3b4ad9f23d7610b |
| institution | Directory Open Access Journal |
| issn | 2199-4730 |
| language | English |
| last_indexed | 2024-12-10T20:29:47Z |
| publishDate | 2022-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Financial Innovation |
| spelling | doaj.art-4335ec9189f94d40a3b4ad9f23d7610b2022-12-22T01:34:44ZengSpringerOpenFinancial Innovation2199-47302022-02-018112410.1186/s40854-021-00315-4Credit granting sorting model for financial organizationsPaulo Cesar Schotten0Leydiana de Sousa Pereira1Danielle Costa Morais2CDSID - Center for Decision Systems and Information Development, Universidade Federal de PernambucoCDSID - Center for Decision Systems and Information Development, Universidade Federal de PernambucoCDSID - Center for Decision Systems and Information Development, Universidade Federal de PernambucoAbstract Considering the environment of risks and influences inherent in the decision-making process for credit-granting operations, it has become a matter of survival for financial organizations to seek to improve how they engage in effective decision-making to ensure that their returns on invested capital will meet the expectations established at the beginning of the process. A credit-granting sorting model for financial organizations is proposed. The model aggregates the perspectives of different decision-makers to support an organization in the process of credit analysis and, consequently, to improve its operationality. The decision-making model is based on the ELECTRE TRI-B multicriteria method. It sorts credit-granting proposals into three classes, namely credit approved, technical analysis, and credit rejected. The group decision emerges from the decision rules of the organization’s executive board. This new proposed approach to dealing with credit-granting results in the systematization of credit analysis, reduction of doubt among decision-makers, avoidance of the emergence of informal groups, reduction of conflicts within a financial organization, and external interferences.https://doi.org/10.1186/s40854-021-00315-4Credit grantingELECTRE TRI-BFinancial marketGroup decision-makingMulticriteria methods |
| spellingShingle | Paulo Cesar Schotten Leydiana de Sousa Pereira Danielle Costa Morais Credit granting sorting model for financial organizations Financial Innovation Credit granting ELECTRE TRI-B Financial market Group decision-making Multicriteria methods |
| title | Credit granting sorting model for financial organizations |
| title_full | Credit granting sorting model for financial organizations |
| title_fullStr | Credit granting sorting model for financial organizations |
| title_full_unstemmed | Credit granting sorting model for financial organizations |
| title_short | Credit granting sorting model for financial organizations |
| title_sort | credit granting sorting model for financial organizations |
| topic | Credit granting ELECTRE TRI-B Financial market Group decision-making Multicriteria methods |
| url | https://doi.org/10.1186/s40854-021-00315-4 |
| work_keys_str_mv | AT paulocesarschotten creditgrantingsortingmodelforfinancialorganizations AT leydianadesousapereira creditgrantingsortingmodelforfinancialorganizations AT daniellecostamorais creditgrantingsortingmodelforfinancialorganizations |