A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility

Detalhes bibliográficos
Autor(a) principal: Golzio, A. C. [UNESP]
Data de Publicação: 2021
Outros Autores: Puerta-Díaz, M. [UNESP], Martínez-Ávila, D.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.4108/eai.23-7-2021.170556
http://hdl.handle.net/11449/223255
Resumo: INTRODUCTION: Critical public opinion, based on information that is made available to the public through different systems, has led companies that operate in the environment to continually improve their social, environmental, and ethical performance. OBJECTIVES: This paper aims to propose a fuzzy-logic-based model for the analysis of social corporate responsibility in cases of environmental accidents. METHODS: Our study employs techniques derived from social network analysis. The data was collected from the online database of The New York Times for the timespan from March 24, 1989, to September 1, 2017. RESULTS: The results show that the proposed model can be replicated, after some adjustments. CONCLUSION: We conclude that, despite the complexity of an analysis of this kind in which the model is applied considering isolated words in the text and not the semantic aspects, the proposed model based on fuzzy logic is adequate for the analysis of social corporate responsibility.
id UNSP_928deb6e596f9787ee81b386669ffbe0
oai_identifier_str oai:repositorio.unesp.br:11449/223255
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling A Fuzzy Logic Model for the Analysis of Social Corporate Responsibilitycorporate social responsibilityfuzzy logicfuzzy rules-based systemINTRODUCTION: Critical public opinion, based on information that is made available to the public through different systems, has led companies that operate in the environment to continually improve their social, environmental, and ethical performance. OBJECTIVES: This paper aims to propose a fuzzy-logic-based model for the analysis of social corporate responsibility in cases of environmental accidents. METHODS: Our study employs techniques derived from social network analysis. The data was collected from the online database of The New York Times for the timespan from March 24, 1989, to September 1, 2017. RESULTS: The results show that the proposed model can be replicated, after some adjustments. CONCLUSION: We conclude that, despite the complexity of an analysis of this kind in which the model is applied considering isolated words in the text and not the semantic aspects, the proposed model based on fuzzy logic is adequate for the analysis of social corporate responsibility.São Paulo State UniversityUniversity Carlos III of MadridSão Paulo State UniversityUniversidade Estadual Paulista (UNESP)University Carlos III of MadridGolzio, A. C. [UNESP]Puerta-Díaz, M. [UNESP]Martínez-Ávila, D.2022-04-28T19:49:34Z2022-04-28T19:49:34Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-11http://dx.doi.org/10.4108/eai.23-7-2021.170556EAI Endorsed Transactions on Scalable Information Systems, v. 8, n. 32, p. 1-11, 2021.2032-9407http://hdl.handle.net/11449/22325510.4108/eai.23-7-2021.1705562-s2.0-85122847027Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEAI Endorsed Transactions on Scalable Information Systemsinfo:eu-repo/semantics/openAccess2022-04-28T19:49:34Zoai:repositorio.unesp.br:11449/223255Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:49:34Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility
title A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility
spellingShingle A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility
Golzio, A. C. [UNESP]
corporate social responsibility
fuzzy logic
fuzzy rules-based system
title_short A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility
title_full A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility
title_fullStr A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility
title_full_unstemmed A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility
title_sort A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility
author Golzio, A. C. [UNESP]
author_facet Golzio, A. C. [UNESP]
Puerta-Díaz, M. [UNESP]
Martínez-Ávila, D.
author_role author
author2 Puerta-Díaz, M. [UNESP]
Martínez-Ávila, D.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
University Carlos III of Madrid
dc.contributor.author.fl_str_mv Golzio, A. C. [UNESP]
Puerta-Díaz, M. [UNESP]
Martínez-Ávila, D.
dc.subject.por.fl_str_mv corporate social responsibility
fuzzy logic
fuzzy rules-based system
topic corporate social responsibility
fuzzy logic
fuzzy rules-based system
description INTRODUCTION: Critical public opinion, based on information that is made available to the public through different systems, has led companies that operate in the environment to continually improve their social, environmental, and ethical performance. OBJECTIVES: This paper aims to propose a fuzzy-logic-based model for the analysis of social corporate responsibility in cases of environmental accidents. METHODS: Our study employs techniques derived from social network analysis. The data was collected from the online database of The New York Times for the timespan from March 24, 1989, to September 1, 2017. RESULTS: The results show that the proposed model can be replicated, after some adjustments. CONCLUSION: We conclude that, despite the complexity of an analysis of this kind in which the model is applied considering isolated words in the text and not the semantic aspects, the proposed model based on fuzzy logic is adequate for the analysis of social corporate responsibility.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-04-28T19:49:34Z
2022-04-28T19:49:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.4108/eai.23-7-2021.170556
EAI Endorsed Transactions on Scalable Information Systems, v. 8, n. 32, p. 1-11, 2021.
2032-9407
http://hdl.handle.net/11449/223255
10.4108/eai.23-7-2021.170556
2-s2.0-85122847027
url http://dx.doi.org/10.4108/eai.23-7-2021.170556
http://hdl.handle.net/11449/223255
identifier_str_mv EAI Endorsed Transactions on Scalable Information Systems, v. 8, n. 32, p. 1-11, 2021.
2032-9407
10.4108/eai.23-7-2021.170556
2-s2.0-85122847027
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv EAI Endorsed Transactions on Scalable Information Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-11
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799964600832098304

Registros relacionados