Classification system for corporate reputation based on financial variables. Londoño-Montoya, E., Becerra, M., A., Murillo-Escobar, J., Gómez-Bayona, L., Moreno-López, G., & Peluffo-Ordoñez, D. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2019. ![Classification system for corporate reputation based on financial variables [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex 1 download The most important external assessment for companies is reputation, which is very difficult to calculate since its characterization may require a large number of qualitative and quantitative data. This study presents a comparison of different corporate reputation classification systems based on financial variables. Initially, a database was constructed using data from the Corporate Reputation Business Monitor and the Business Information and Reporting System of the Colombian Superintendence of Companies. The records were labeled as high and low. Then, a relevance analysis was carried out, using linear discriminant analysis. Four classifiers (ANFIS, K-NN, F-NN, and SVM-PSO) were compared to categorize the reputation, achieving a performance of 94% accuracy, which allowed to demonstrate the discriminant capacity of the financial variables to classify the reputation.
@article{
title = {Classification system for corporate reputation based on financial variables},
type = {article},
year = {2019},
keywords = {Adaptive diffuse inference system,Corporate reputation,Optimization by particle swarm,Reputational index,Vector support machines},
websites = {https://search.proquest.com/openview/fc081b269b3464d65f6211b07c6ca1e5/},
id = {e7f1d6c3-2fea-377f-ad05-bf0844914c94},
created = {2022-01-26T03:00:54.726Z},
file_attached = {false},
profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},
group_id = {b9022d50-068c-31b4-9174-ebfaaf9ee57b},
last_modified = {2022-01-26T03:00:54.726Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {Londono-Montoya2019},
private_publication = {false},
abstract = {The most important external assessment for companies is reputation, which is very difficult to calculate since its characterization may require a large number of qualitative and quantitative data. This study presents a comparison of different corporate reputation classification systems based on financial variables. Initially, a database was constructed using data from the Corporate Reputation Business Monitor and the Business Information and Reporting System of the Colombian Superintendence of Companies. The records were labeled as high and low. Then, a relevance analysis was carried out, using linear discriminant analysis. Four classifiers (ANFIS, K-NN, F-NN, and SVM-PSO) were compared to categorize the reputation, achieving a performance of 94% accuracy, which allowed to demonstrate the discriminant capacity of the financial variables to classify the reputation.},
bibtype = {article},
author = {Londoño-Montoya, Erika and Becerra, Miguel A. and Murillo-Escobar, Juan and Gómez-Bayona, Ledy and Moreno-López, Gustavo and Peluffo-Ordoñez, Diego},
journal = {RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao}
}
Downloads: 1
{"_id":"LDaAE89Q2zbAo5Jjb","bibbaseid":"londoomontoya-becerra-murilloescobar-gmezbayona-morenolpez-peluffoordoez-classificationsystemforcorporatereputationbasedonfinancialvariables-2019","authorIDs":[],"author_short":["Londoño-Montoya, E.","Becerra, M., A.","Murillo-Escobar, J.","Gómez-Bayona, L.","Moreno-López, G.","Peluffo-Ordoñez, D."],"bibdata":{"title":"Classification system for corporate reputation based on financial variables","type":"article","year":"2019","keywords":"Adaptive diffuse inference system,Corporate reputation,Optimization by particle swarm,Reputational index,Vector support machines","websites":"https://search.proquest.com/openview/fc081b269b3464d65f6211b07c6ca1e5/","id":"e7f1d6c3-2fea-377f-ad05-bf0844914c94","created":"2022-01-26T03:00:54.726Z","file_attached":false,"profile_id":"aba9653c-d139-3f95-aad8-969c487ed2f3","group_id":"b9022d50-068c-31b4-9174-ebfaaf9ee57b","last_modified":"2022-01-26T03:00:54.726Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"Londono-Montoya2019","private_publication":false,"abstract":"The most important external assessment for companies is reputation, which is very difficult to calculate since its characterization may require a large number of qualitative and quantitative data. This study presents a comparison of different corporate reputation classification systems based on financial variables. Initially, a database was constructed using data from the Corporate Reputation Business Monitor and the Business Information and Reporting System of the Colombian Superintendence of Companies. The records were labeled as high and low. Then, a relevance analysis was carried out, using linear discriminant analysis. Four classifiers (ANFIS, K-NN, F-NN, and SVM-PSO) were compared to categorize the reputation, achieving a performance of 94% accuracy, which allowed to demonstrate the discriminant capacity of the financial variables to classify the reputation.","bibtype":"article","author":"Londoño-Montoya, Erika and Becerra, Miguel A. and Murillo-Escobar, Juan and Gómez-Bayona, Ledy and Moreno-López, Gustavo and Peluffo-Ordoñez, Diego","journal":"RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao","bibtex":"@article{\n title = {Classification system for corporate reputation based on financial variables},\n type = {article},\n year = {2019},\n keywords = {Adaptive diffuse inference system,Corporate reputation,Optimization by particle swarm,Reputational index,Vector support machines},\n websites = {https://search.proquest.com/openview/fc081b269b3464d65f6211b07c6ca1e5/},\n id = {e7f1d6c3-2fea-377f-ad05-bf0844914c94},\n created = {2022-01-26T03:00:54.726Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {b9022d50-068c-31b4-9174-ebfaaf9ee57b},\n last_modified = {2022-01-26T03:00:54.726Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Londono-Montoya2019},\n private_publication = {false},\n abstract = {The most important external assessment for companies is reputation, which is very difficult to calculate since its characterization may require a large number of qualitative and quantitative data. This study presents a comparison of different corporate reputation classification systems based on financial variables. Initially, a database was constructed using data from the Corporate Reputation Business Monitor and the Business Information and Reporting System of the Colombian Superintendence of Companies. The records were labeled as high and low. Then, a relevance analysis was carried out, using linear discriminant analysis. Four classifiers (ANFIS, K-NN, F-NN, and SVM-PSO) were compared to categorize the reputation, achieving a performance of 94% accuracy, which allowed to demonstrate the discriminant capacity of the financial variables to classify the reputation.},\n bibtype = {article},\n author = {Londoño-Montoya, Erika and Becerra, Miguel A. and Murillo-Escobar, Juan and Gómez-Bayona, Ledy and Moreno-López, Gustavo and Peluffo-Ordoñez, Diego},\n journal = {RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao}\n}","author_short":["Londoño-Montoya, E.","Becerra, M., A.","Murillo-Escobar, J.","Gómez-Bayona, L.","Moreno-López, G.","Peluffo-Ordoñez, D."],"urls":{"Website":"https://search.proquest.com/openview/fc081b269b3464d65f6211b07c6ca1e5/"},"biburl":"https://bibbase.org/service/mendeley/aba9653c-d139-3f95-aad8-969c487ed2f3","bibbaseid":"londoomontoya-becerra-murilloescobar-gmezbayona-morenolpez-peluffoordoez-classificationsystemforcorporatereputationbasedonfinancialvariables-2019","role":"author","keyword":["Adaptive diffuse inference system","Corporate reputation","Optimization by particle swarm","Reputational index","Vector support machines"],"metadata":{"authorlinks":{}},"downloads":1},"bibtype":"article","creationDate":"2020-12-01T23:20:09.322Z","downloads":1,"keywords":["adaptive diffuse inference system","corporate reputation","optimization by particle swarm","reputational index","vector support machines"],"search_terms":["classification","system","corporate","reputation","based","financial","variables","londoño-montoya","becerra","murillo-escobar","gómez-bayona","moreno-lópez","peluffo-ordoñez"],"title":"Classification system for corporate reputation based on financial variables","year":2019,"biburl":"https://bibbase.org/service/mendeley/aba9653c-d139-3f95-aad8-969c487ed2f3","dataSources":["YEF3uFAbDNQXrkgNw","ya2CyA73rpZseyrZ8"]}