Leveraging user behavior and data science technologies for management: An overview

[EN] This article introduces the special section on leveraging user behavior and data science technologies for management. It reviews 12 articles and discusses their contribution towards establishing a new dynamic paradigm of leveraging user behavior and data science technologies for management. Use...

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Detalhes bibliográficos
Autores: Blasco-Arcas, Lorena, Kastanakis, Minas N., Reyes-Menendez, Ana, Alcañiz Raya, Mariano Luis|||0000-0001-9207-0636
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/191605
Acesso em linha:https://riunet.upv.es/handle/10251/191605
Access Level:acceso abierto
Palavra-chave:Data-driven strategy
User-generated data
Data science
Behavioral data
User-generated content
EXPRESION GRAFICA EN LA INGENIERIA
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spelling Leveraging user behavior and data science technologies for management: An overviewBlasco-Arcas, LorenaKastanakis, Minas N.Reyes-Menendez, AnaAlcañiz Raya, Mariano Luis|||0000-0001-9207-0636Data-driven strategyUser-generated dataData scienceBehavioral dataUser-generated contentEXPRESION GRAFICA EN LA INGENIERIA[EN] This article introduces the special section on leveraging user behavior and data science technologies for management. It reviews 12 articles and discusses their contribution towards establishing a new dynamic paradigm of leveraging user behavior and data science technologies for management. User data has become a promising and relevant area to explore in order to improve decision-making. However, and despite increasing access to this kind of data, several challenges remain related to how to successfully collect, manage and incorporate user data to managerial decisions. In this special issue, we focus on exploring different facets related to impactful data practices in management as well as envisaging future developments related to new sources of user data and methods. Overall, the special issue contributes to deepening the understanding of data usage and management for business through a series of articles that highlight promising further developments in areas such as data collection, data disclosure and privacy, data usage and data analysis methods.ElsevierDepartamento de Ingeniería GráficaInstituto Universitario de Investigación en Tecnología Centrada en el Ser HumanoEscuela Técnica Superior de Ingeniería Agronómica y del Medio NaturalRepositorio Institucional de la Universitat Politècnica de València Riunet20232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/191605reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1916052026-06-13T07:49:27Z
dc.title.none.fl_str_mv Leveraging user behavior and data science technologies for management: An overview
title Leveraging user behavior and data science technologies for management: An overview
spellingShingle Leveraging user behavior and data science technologies for management: An overview
Blasco-Arcas, Lorena
Data-driven strategy
User-generated data
Data science
Behavioral data
User-generated content
EXPRESION GRAFICA EN LA INGENIERIA
title_short Leveraging user behavior and data science technologies for management: An overview
title_full Leveraging user behavior and data science technologies for management: An overview
title_fullStr Leveraging user behavior and data science technologies for management: An overview
title_full_unstemmed Leveraging user behavior and data science technologies for management: An overview
title_sort Leveraging user behavior and data science technologies for management: An overview
dc.creator.none.fl_str_mv Blasco-Arcas, Lorena
Kastanakis, Minas N.
Reyes-Menendez, Ana
Alcañiz Raya, Mariano Luis|||0000-0001-9207-0636
author Blasco-Arcas, Lorena
author_facet Blasco-Arcas, Lorena
Kastanakis, Minas N.
Reyes-Menendez, Ana
Alcañiz Raya, Mariano Luis|||0000-0001-9207-0636
author_role author
author2 Kastanakis, Minas N.
Reyes-Menendez, Ana
Alcañiz Raya, Mariano Luis|||0000-0001-9207-0636
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Gráfica
Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano
Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Data-driven strategy
User-generated data
Data science
Behavioral data
User-generated content
EXPRESION GRAFICA EN LA INGENIERIA
topic Data-driven strategy
User-generated data
Data science
Behavioral data
User-generated content
EXPRESION GRAFICA EN LA INGENIERIA
description [EN] This article introduces the special section on leveraging user behavior and data science technologies for management. It reviews 12 articles and discusses their contribution towards establishing a new dynamic paradigm of leveraging user behavior and data science technologies for management. User data has become a promising and relevant area to explore in order to improve decision-making. However, and despite increasing access to this kind of data, several challenges remain related to how to successfully collect, manage and incorporate user data to managerial decisions. In this special issue, we focus on exploring different facets related to impactful data practices in management as well as envisaging future developments related to new sources of user data and methods. Overall, the special issue contributes to deepening the understanding of data usage and management for business through a series of articles that highlight promising further developments in areas such as data collection, data disclosure and privacy, data usage and data analysis methods.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/191605
url https://riunet.upv.es/handle/10251/191605
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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