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Development of a citizen participation public service innovation model based on smart governance

This study explores an efficient approach to providing customized public services through a smart governance-based public service innovation model (SG-PSIM) that combines intelligent technology and co-creation. Multiple methodological approaches are applied to develop and evaluate the proposed SG-PS...

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Detalles Bibliográficos
Autores principales: Hong, Soon Goo, Lee, DonHee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242604/
http://dx.doi.org/10.1007/s11628-023-00536-w
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author Hong, Soon Goo
Lee, DonHee
author_facet Hong, Soon Goo
Lee, DonHee
author_sort Hong, Soon Goo
collection PubMed
description This study explores an efficient approach to providing customized public services through a smart governance-based public service innovation model (SG-PSIM) that combines intelligent technology and co-creation. Multiple methodological approaches are applied to develop and evaluate the proposed SG-PSIM. Intelligent methodologies that can support the public service policy process are discussed, and the applicability of the SG-PSIM is demonstrated through four case studies. The study results showed that SG-PSIM can effectively collect the opinions of citizens in diverse ways and provide opportunities for citizens to actively participate in the development of public service policies.
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spelling pubmed-102426042023-06-07 Development of a citizen participation public service innovation model based on smart governance Hong, Soon Goo Lee, DonHee Serv Bus Review Article This study explores an efficient approach to providing customized public services through a smart governance-based public service innovation model (SG-PSIM) that combines intelligent technology and co-creation. Multiple methodological approaches are applied to develop and evaluate the proposed SG-PSIM. Intelligent methodologies that can support the public service policy process are discussed, and the applicability of the SG-PSIM is demonstrated through four case studies. The study results showed that SG-PSIM can effectively collect the opinions of citizens in diverse ways and provide opportunities for citizens to actively participate in the development of public service policies. Springer Berlin Heidelberg 2023-06-06 /pmc/articles/PMC10242604/ http://dx.doi.org/10.1007/s11628-023-00536-w Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Review Article
Hong, Soon Goo
Lee, DonHee
Development of a citizen participation public service innovation model based on smart governance
title Development of a citizen participation public service innovation model based on smart governance
title_full Development of a citizen participation public service innovation model based on smart governance
title_fullStr Development of a citizen participation public service innovation model based on smart governance
title_full_unstemmed Development of a citizen participation public service innovation model based on smart governance
title_short Development of a citizen participation public service innovation model based on smart governance
title_sort development of a citizen participation public service innovation model based on smart governance
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242604/
http://dx.doi.org/10.1007/s11628-023-00536-w
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