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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/17225

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spelling 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/
dc.format.none.fl_str_mv 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
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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