Relationships between stakeholders and reports using Fuzzy relations
- Autores
- D'onofrio, Paula; Garcia Fronti, Ines Mercedes
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The main parameter of the concept of corporate social responsibility is to consider the expectations of different stakeholders (employees, partners, customers, local communities, the environment, shareholders, vendors, etc.) regarding the behavior of companies. Even if a relatively homogeneous group is selected, as in this paper, differences are seen when establishing preference levels. These discrepancies are inherent to individuals based on their interests, which may be affected by both concrete and subjective circumstances. This paper is divided into two parts. The first part consists in segmenting preferences of users from the agribusiness sector with respect to social and environmental accounting information. Then, based on this prior task, we will try to determine which standard reports relating to social and environmental information meet to a greater extent these users’ needs. This will be done using fuzzy incidence matrices. Through the max-min composition of matrices, a relation matrix of users and the chance of meeting their information needs according to the standard reports considered for this work is produced. This paper has sought to address the preferences of users of social and environmental information through a scientific methodology, trying to group users by means of the affinities theory. We believe this proposal may help identify similar stakeholders in the future, so as to schedule interviews, establish common patterns and be able to prepare reports meeting their needs, or, as in the case proposed, use existing reporting models.
Fil: D'onofrio, Paula. Universidad de Buenos Aires; Argentina
Fil: Garcia Fronti, Ines Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Politica de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Politica de Buenos Aires; Argentina - Materia
-
Social And Environmental Reports
Affinities Theory
Fuzzy Relations
Behavior of Fuzzy Relations - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/17225
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Relationships between stakeholders and reports using Fuzzy relationsD'onofrio, PaulaGarcia Fronti, Ines MercedesSocial And Environmental ReportsAffinities TheoryFuzzy RelationsBehavior of Fuzzy Relationshttps://purl.org/becyt/ford/5.9https://purl.org/becyt/ford/5https://purl.org/becyt/ford/5.9https://purl.org/becyt/ford/5The main parameter of the concept of corporate social responsibility is to consider the expectations of different stakeholders (employees, partners, customers, local communities, the environment, shareholders, vendors, etc.) regarding the behavior of companies. Even if a relatively homogeneous group is selected, as in this paper, differences are seen when establishing preference levels. These discrepancies are inherent to individuals based on their interests, which may be affected by both concrete and subjective circumstances. This paper is divided into two parts. The first part consists in segmenting preferences of users from the agribusiness sector with respect to social and environmental accounting information. Then, based on this prior task, we will try to determine which standard reports relating to social and environmental information meet to a greater extent these users’ needs. This will be done using fuzzy incidence matrices. Through the max-min composition of matrices, a relation matrix of users and the chance of meeting their information needs according to the standard reports considered for this work is produced. This paper has sought to address the preferences of users of social and environmental information through a scientific methodology, trying to group users by means of the affinities theory. We believe this proposal may help identify similar stakeholders in the future, so as to schedule interviews, establish common patterns and be able to prepare reports meeting their needs, or, as in the case proposed, use existing reporting models.Fil: D'onofrio, Paula. Universidad de Buenos Aires; ArgentinaFil: Garcia Fronti, Ines Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Politica de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Politica de Buenos Aires; ArgentinaInternational Association for Fuzzy-set Management and Economy2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/zipapplication/pdfhttp://hdl.handle.net/11336/17225D'onofrio, Paula; Garcia Fronti, Ines Mercedes; Relationships between stakeholders and reports using Fuzzy relations; International Association for Fuzzy-set Management and Economy; Fuzzy Economic Review; XVIII; 2; 11-2013; 33-441136-0593enginfo:eu-repo/semantics/altIdentifier/url/http://www.sigef.net/component/k2/item/539-relationships-between-stakeholders-and-reports-using-fuzzy-relationsinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:42:04Zoai:ri.conicet.gov.ar:11336/17225instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:42:04.581CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Relationships between stakeholders and reports using Fuzzy relations |
title |
Relationships between stakeholders and reports using Fuzzy relations |
spellingShingle |
Relationships between stakeholders and reports using Fuzzy relations D'onofrio, Paula Social And Environmental Reports Affinities Theory Fuzzy Relations Behavior of Fuzzy Relations |
title_short |
Relationships between stakeholders and reports using Fuzzy relations |
title_full |
Relationships between stakeholders and reports using Fuzzy relations |
title_fullStr |
Relationships between stakeholders and reports using Fuzzy relations |
title_full_unstemmed |
Relationships between stakeholders and reports using Fuzzy relations |
title_sort |
Relationships between stakeholders and reports using Fuzzy relations |
dc.creator.none.fl_str_mv |
D'onofrio, Paula Garcia Fronti, Ines Mercedes |
author |
D'onofrio, Paula |
author_facet |
D'onofrio, Paula Garcia Fronti, Ines Mercedes |
author_role |
author |
author2 |
Garcia Fronti, Ines Mercedes |
author2_role |
author |
dc.subject.none.fl_str_mv |
Social And Environmental Reports Affinities Theory Fuzzy Relations Behavior of Fuzzy Relations |
topic |
Social And Environmental Reports Affinities Theory Fuzzy Relations Behavior of Fuzzy Relations |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/5.9 https://purl.org/becyt/ford/5 https://purl.org/becyt/ford/5.9 https://purl.org/becyt/ford/5 |
dc.description.none.fl_txt_mv |
The main parameter of the concept of corporate social responsibility is to consider the expectations of different stakeholders (employees, partners, customers, local communities, the environment, shareholders, vendors, etc.) regarding the behavior of companies. Even if a relatively homogeneous group is selected, as in this paper, differences are seen when establishing preference levels. These discrepancies are inherent to individuals based on their interests, which may be affected by both concrete and subjective circumstances. This paper is divided into two parts. The first part consists in segmenting preferences of users from the agribusiness sector with respect to social and environmental accounting information. Then, based on this prior task, we will try to determine which standard reports relating to social and environmental information meet to a greater extent these users’ needs. This will be done using fuzzy incidence matrices. Through the max-min composition of matrices, a relation matrix of users and the chance of meeting their information needs according to the standard reports considered for this work is produced. This paper has sought to address the preferences of users of social and environmental information through a scientific methodology, trying to group users by means of the affinities theory. We believe this proposal may help identify similar stakeholders in the future, so as to schedule interviews, establish common patterns and be able to prepare reports meeting their needs, or, as in the case proposed, use existing reporting models. Fil: D'onofrio, Paula. Universidad de Buenos Aires; Argentina Fil: Garcia Fronti, Ines Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Politica de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Politica de Buenos Aires; Argentina |
description |
The main parameter of the concept of corporate social responsibility is to consider the expectations of different stakeholders (employees, partners, customers, local communities, the environment, shareholders, vendors, etc.) regarding the behavior of companies. Even if a relatively homogeneous group is selected, as in this paper, differences are seen when establishing preference levels. These discrepancies are inherent to individuals based on their interests, which may be affected by both concrete and subjective circumstances. This paper is divided into two parts. The first part consists in segmenting preferences of users from the agribusiness sector with respect to social and environmental accounting information. Then, based on this prior task, we will try to determine which standard reports relating to social and environmental information meet to a greater extent these users’ needs. This will be done using fuzzy incidence matrices. Through the max-min composition of matrices, a relation matrix of users and the chance of meeting their information needs according to the standard reports considered for this work is produced. This paper has sought to address the preferences of users of social and environmental information through a scientific methodology, trying to group users by means of the affinities theory. We believe this proposal may help identify similar stakeholders in the future, so as to schedule interviews, establish common patterns and be able to prepare reports meeting their needs, or, as in the case proposed, use existing reporting models. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/17225 D'onofrio, Paula; Garcia Fronti, Ines Mercedes; Relationships between stakeholders and reports using Fuzzy relations; International Association for Fuzzy-set Management and Economy; Fuzzy Economic Review; XVIII; 2; 11-2013; 33-44 1136-0593 |
url |
http://hdl.handle.net/11336/17225 |
identifier_str_mv |
D'onofrio, Paula; Garcia Fronti, Ines Mercedes; Relationships between stakeholders and reports using Fuzzy relations; International Association for Fuzzy-set Management and Economy; Fuzzy Economic Review; XVIII; 2; 11-2013; 33-44 1136-0593 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.sigef.net/component/k2/item/539-relationships-between-stakeholders-and-reports-using-fuzzy-relations |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/zip application/pdf |
dc.publisher.none.fl_str_mv |
International Association for Fuzzy-set Management and Economy |
publisher.none.fl_str_mv |
International Association for Fuzzy-set Management and Economy |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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