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

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...

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Detalles Bibliográficos
Autores principales: Fernández, Alejandro, Zaraté, Pascale, Gardey, Juan Cruz, Bosetti, Gabriela Alejandra
Formato: Articulo
Lenguaje:Inglés
Publicado: 2021
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/138271
Aporte de:
id I19-R120-10915-138271
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Multi-criteria decision support
Analytic hierarchy process
E-commerce
Web augmentation
spellingShingle Ciencias Informáticas
Multi-criteria decision support
Analytic hierarchy process
E-commerce
Web augmentation
Fernández, Alejandro
Zaraté, Pascale
Gardey, Juan Cruz
Bosetti, Gabriela Alejandra
Supporting multi-criteria decision-making across websites: the Logikós approach
topic_facet Ciencias Informáticas
Multi-criteria decision support
Analytic hierarchy process
E-commerce
Web augmentation
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 Process) can be effectively offered 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 different countries. An illustrative scenario provides insight into the application of the approach and the role of the supporting tools. Evaluation showed that users appreciate creating AHP models specific to their needs, and trust the decisions they make using these models. Participants were reluctant to trust reusable decision profiles (i.e., AHP models 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.
format Articulo
Articulo
author Fernández, Alejandro
Zaraté, Pascale
Gardey, Juan Cruz
Bosetti, Gabriela Alejandra
author_facet Fernández, Alejandro
Zaraté, Pascale
Gardey, Juan Cruz
Bosetti, Gabriela Alejandra
author_sort Fernández, Alejandro
title Supporting multi-criteria decision-making across websites: the Logikós approach
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
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/138271
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AT zaratepascale supportingmulticriteriadecisionmakingacrosswebsitesthelogikosapproach
AT gardeyjuancruz supportingmulticriteriadecisionmakingacrosswebsitesthelogikosapproach
AT bosettigabrielaalejandra supportingmulticriteriadecisionmakingacrosswebsitesthelogikosapproach
bdutipo_str Repositorios
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