Supporting multi-criteria decision-making across websites: the Logikós approach

Autores
Fernández, Alejandro; Zaraté, Pascale; Gardey, Juan Cruz; Bosetti, Gabriela Alejandra
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Online customers frequently conduct activities that involve multi- criteria decision-making. They analyze and compare alternatives considering a set of shared characteristics. Websites present the information of products without special support for these activities. Moreover, the products of interest for the customer are frequently scattered across various shops, with no support to collect and compare them in a consistent and customized manner. We argue that multi-criteria decision-making methods (such as Analytic Hierarchy Pro- cess) can be e ectively o ered to online customers. In this article, we present an approach and supporting tools to enable multi-criteria decision-making on any website and across websites. They are based on web-augmentation to extract information items from websites, and the Analytic Hierarchy Process (AHP) to model multi-criteria decisions. The approach and tools were experimentally evaluated with end-users in two di erent countries. An illustrative scenario provides insight into the application of the approach and the role of the sup- porting tools. Evaluation showed that users appreciate creating AHP models speci c to their needs, and trust the decisions they make using these models. Participants were reluctant to trust reusable decision pro les (i.e., AHP mod- els created by other users). The numerous pairwise comparisons required by AHP in the presence of multiple criteria and alternatives, was reported as a drawback. However, participants indicated that the proposed smart-ranking functionality represented a good mechanism to cope with it.
Materia
Ciencias de la Computación e Información
Multi-criteria decision support
Analytic Hierarchy Process
E-commerce
Web Augmentation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/11412

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network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Supporting multi-criteria decision-making across websites: the Logikós approachFernández, AlejandroZaraté, PascaleGardey, Juan CruzBosetti, Gabriela AlejandraCiencias de la Computación e InformaciónMulti-criteria decision supportAnalytic Hierarchy ProcessE-commerceWeb AugmentationOnline customers frequently conduct activities that involve multi- criteria decision-making. They analyze and compare alternatives considering a set of shared characteristics. Websites present the information of products without special support for these activities. Moreover, the products of interest for the customer are frequently scattered across various shops, with no support to collect and compare them in a consistent and customized manner. We argue that multi-criteria decision-making methods (such as Analytic Hierarchy Pro- cess) can be e ectively o ered to online customers. In this article, we present an approach and supporting tools to enable multi-criteria decision-making on any website and across websites. They are based on web-augmentation to extract information items from websites, and the Analytic Hierarchy Process (AHP) to model multi-criteria decisions. The approach and tools were experimentally evaluated with end-users in two di erent countries. An illustrative scenario provides insight into the application of the approach and the role of the sup- porting tools. Evaluation showed that users appreciate creating AHP models speci c to their needs, and trust the decisions they make using these models. Participants were reluctant to trust reusable decision pro les (i.e., AHP mod- els created by other users). The numerous pairwise comparisons required by AHP in the presence of multiple criteria and alternatives, was reported as a drawback. However, participants indicated that the proposed smart-ranking functionality represented a good mechanism to cope with it.2021-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/11412enginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s10100-020-00723-4info:eu-repo/semantics/altIdentifier/issn/1613-9178info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-04T09:43:14Zoai:digital.cic.gba.gob.ar:11746/11412Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-04 09:43:14.78CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Supporting multi-criteria decision-making across websites: the Logikós approach
title Supporting multi-criteria decision-making across websites: the Logikós approach
spellingShingle Supporting multi-criteria decision-making across websites: the Logikós approach
Fernández, Alejandro
Ciencias de la Computación e Información
Multi-criteria decision support
Analytic Hierarchy Process
E-commerce
Web Augmentation
title_short Supporting multi-criteria decision-making across websites: the Logikós approach
title_full Supporting multi-criteria decision-making across websites: the Logikós approach
title_fullStr Supporting multi-criteria decision-making across websites: the Logikós approach
title_full_unstemmed Supporting multi-criteria decision-making across websites: the Logikós approach
title_sort Supporting multi-criteria decision-making across websites: the Logikós approach
dc.creator.none.fl_str_mv Fernández, Alejandro
Zaraté, Pascale
Gardey, Juan Cruz
Bosetti, Gabriela Alejandra
author Fernández, Alejandro
author_facet Fernández, Alejandro
Zaraté, Pascale
Gardey, Juan Cruz
Bosetti, Gabriela Alejandra
author_role author
author2 Zaraté, Pascale
Gardey, Juan Cruz
Bosetti, Gabriela Alejandra
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias de la Computación e Información
Multi-criteria decision support
Analytic Hierarchy Process
E-commerce
Web Augmentation
topic Ciencias de la Computación e Información
Multi-criteria decision support
Analytic Hierarchy Process
E-commerce
Web Augmentation
dc.description.none.fl_txt_mv Online customers frequently conduct activities that involve multi- criteria decision-making. They analyze and compare alternatives considering a set of shared characteristics. Websites present the information of products without special support for these activities. Moreover, the products of interest for the customer are frequently scattered across various shops, with no support to collect and compare them in a consistent and customized manner. We argue that multi-criteria decision-making methods (such as Analytic Hierarchy Pro- cess) can be e ectively o ered to online customers. In this article, we present an approach and supporting tools to enable multi-criteria decision-making on any website and across websites. They are based on web-augmentation to extract information items from websites, and the Analytic Hierarchy Process (AHP) to model multi-criteria decisions. The approach and tools were experimentally evaluated with end-users in two di erent countries. An illustrative scenario provides insight into the application of the approach and the role of the sup- porting tools. Evaluation showed that users appreciate creating AHP models speci c to their needs, and trust the decisions they make using these models. Participants were reluctant to trust reusable decision pro les (i.e., AHP mod- els created by other users). The numerous pairwise comparisons required by AHP in the presence of multiple criteria and alternatives, was reported as a drawback. However, participants indicated that the proposed smart-ranking functionality represented a good mechanism to cope with it.
description Online customers frequently conduct activities that involve multi- criteria decision-making. They analyze and compare alternatives considering a set of shared characteristics. Websites present the information of products without special support for these activities. Moreover, the products of interest for the customer are frequently scattered across various shops, with no support to collect and compare them in a consistent and customized manner. We argue that multi-criteria decision-making methods (such as Analytic Hierarchy Pro- cess) can be e ectively o ered to online customers. In this article, we present an approach and supporting tools to enable multi-criteria decision-making on any website and across websites. They are based on web-augmentation to extract information items from websites, and the Analytic Hierarchy Process (AHP) to model multi-criteria decisions. The approach and tools were experimentally evaluated with end-users in two di erent countries. An illustrative scenario provides insight into the application of the approach and the role of the sup- porting tools. Evaluation showed that users appreciate creating AHP models speci c to their needs, and trust the decisions they make using these models. Participants were reluctant to trust reusable decision pro les (i.e., AHP mod- els created by other users). The numerous pairwise comparisons required by AHP in the presence of multiple criteria and alternatives, was reported as a drawback. However, participants indicated that the proposed smart-ranking functionality represented a good mechanism to cope with it.
publishDate 2021
dc.date.none.fl_str_mv 2021-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/11412
url https://digital.cic.gba.gob.ar/handle/11746/11412
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s10100-020-00723-4
info:eu-repo/semantics/altIdentifier/issn/1613-9178
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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