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Towards Inclusive Integrated Public Service (IPS) Co-Creation and Provision

Authors:

Efthimios Tambouris,

Konstantinos TarabanisAuthors Info & Claims

dg.o '21: Proceedings of the 22nd Annual International Conference on Digital Government Research

Pages 458 - 462

https://doi.org/10.1145/3463677.3463726

Published: 09 June 2021 Publication History

Abstract

Today, public authorities need to provide better services with fewer resources. Citizens require accessible, user-friendly, personalized, and integrated public services (IPS) that match their needs and circumstances. At the same time, trust in the public sector deteriorates. In Europe, for many years, the EU is devising relevant policies and practical advice, such as the European Interoperability Framework (EIF). These, however, are no longer sufficient as they do not consider the latest research and practice, e.g. in public service co-creation and mobile technologies. The aim of this paper is to propose an approach towards inclusive IPS co-creation and provision and new technologies exploitation. For this purpose, the EIF conceptual model for IPS will be used as a basis. Areas of improvement will be identified, relevant literature per area will be reviewed and guidelines for future work will be provided. When this research will be concluded, it is anticipated that its results would provide guidance to policy makers, researchers and practitioners interested in IPS co-creation and new technologies.

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Digital Library

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Cited By

Ciancarini PGiancarlo RGrimaudo G(2024)Digital Transformation in the Public Administrations: A Guided Tour for Computer ScientistsIEEE Access10.1109/ACCESS.2024.336307512(22841-22865)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3363075
Mariani IBianchi I(2023)Conceptualising Digital Transformation in Cities: A Multi-Dimensional Framework for the Analysis of Public Sector InnovationSustainability10.3390/su1511874115:11(8741)Online publication date: 29-May-2023
https://doi.org/10.3390/su15118741
Karamanou AMangou ETarabanis K(2023)An Ecosystem for Deploying Artificial Intelligence in Public AdministrationElectronic Government10.1007/978-3-031-41138-0_13(192-207)Online publication date: 5-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-41138-0_13
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cover image ACM Other conferences

dg.o '21: Proceedings of the 22nd Annual International Conference on Digital Government Research

June 2021

600 pages

ISBN:9781450384926

DOI:10.1145/3463677

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 June 2021

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Refereed limited

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H2020 Inclusive, innovative and reflective societies

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DG.O'21

DG.O'21: The 22nd Annual International Conference on Digital Government Research

June 9 - 11, 2021

NE, Omaha, USA

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Cited By

Ciancarini PGiancarlo RGrimaudo G(2024)Digital Transformation in the Public Administrations: A Guided Tour for Computer ScientistsIEEE Access10.1109/ACCESS.2024.336307512(22841-22865)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3363075
Mariani IBianchi I(2023)Conceptualising Digital Transformation in Cities: A Multi-Dimensional Framework for the Analysis of Public Sector InnovationSustainability10.3390/su1511874115:11(8741)Online publication date: 29-May-2023
https://doi.org/10.3390/su15118741
Karamanou AMangou ETarabanis K(2023)An Ecosystem for Deploying Artificial Intelligence in Public AdministrationElectronic Government10.1007/978-3-031-41138-0_13(192-207)Online publication date: 5-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-41138-0_13
Karamanou ABrimos PKalampokis ETarabanis K(2022)Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning MethodsSensors10.3390/s2224968422:24(9684)Online publication date: 10-Dec-2022
https://doi.org/10.3390/s22249684
Karamanou ABrimos PKalampokis ETarabanis K(2022)Exploring the Quality of Dynamic Open Government Data for Developing Data Intelligence Applications: The Case of Attica Traffic DataProceedings of the 26th Pan-Hellenic Conference on Informatics10.1145/3575879.3575974(102-109)Online publication date: 25-Nov-2022
https://dl.acm.org/doi/10.1145/3575879.3575974

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