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dc.contributor.author
Alderete, Maria Veronica
dc.date.available
2024-11-27T13:14:07Z
dc.date.issued
2021
dc.identifier.citation
Determinants of Smart city commitment among citizens from Bahía Blanca, Argentina; International Conference of Production Research-Americas; Bahia Blanca; Argentina; 2020; 673-689
dc.identifier.issn
2619-1865
dc.identifier.uri
http://hdl.handle.net/11336/248774
dc.description.abstract
This paper aims to examine the determinants of smart cities activities across individuals from Bahía Blanca, Argentina. Literature has identified different factors explaining citizens’ commitment with smart cities, such as education, age, labor condition; and other more subjective factors such as trust and awareness about the smart city concept. A critical determinant of smart commitment is e-readiness or digital readiness; that is, the level of preparedness to properly exploit internet opportunities such as e-government and e-commerce. To achieve this goal, we used a survey conducted on 97 citizens following Moderniza Bahía Facebook from Bahia Blanca, Argentina. By estimating a structural equation model, we obtained that higher levels of ICT use are associated with higher levels of smart city commitment, and that higher awareness of the smart city concept relates to higher levels of smart city commitment. Demographic factors such as age and labor condition also explain ICT use. These insights are useful for city stakeholders and policy makers to design properly smart city policies and strategies for citizen engagement.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Universidad Nacional del Sur
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
SMART CITIES
dc.subject
ICT USE
dc.subject
DEMOGRAPHIC FACTORS
dc.subject.classification
Otras Economía y Negocios
dc.subject.classification
Economía y Negocios
dc.subject.classification
CIENCIAS SOCIALES
dc.title
Determinants of Smart city commitment among citizens from Bahía Blanca, Argentina
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:ar-repo/semantics/documento de conferencia
dc.date.updated
2022-11-04T13:39:06Z
dc.journal.pagination
673-689
dc.journal.pais
Argentina
dc.journal.ciudad
Bahía Blanca
dc.description.fil
Fil: Alderete, Maria Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.matematica.uns.edu.ar/ipcra/pdf/icpr_americas_2020_proceedings.pdf
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.matematica.uns.edu.ar/ipcra/default.php
dc.conicet.rol
Autor
dc.coverage
Internacional
dc.type.subtype
Conferencia
dc.description.nombreEvento
International Conference of Production Research-Americas
dc.date.evento
2020-12-09
dc.description.ciudadEvento
Bahia Blanca
dc.description.paisEvento
Argentina
dc.type.publicacion
Book
dc.description.institucionOrganizadora
Universidad Nacional del Sur
dc.source.libro
Proceeding ICPR Americas 2020
dc.date.eventoHasta
2020-12-11
dc.type
Conferencia
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