Publication:
Artificial Intelligence-based approach to IT Governance in public administrations

dc.contributor.authorGarcía-González, María Segunda
dc.contributor.authorMartínez Béjar, Rodrigo
dc.contributor.departmentInformación y Documentación
dc.date.accessioned2024-07-25T10:23:04Z
dc.date.available2024-07-25T10:23:04Z
dc.date.issued2024
dc.description© Los autores 2024.This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is a pre-print.
dc.description.abstractTo address the challenges of Administrative Information Systems (AIS) in the public sector, appropriate governance solutions are needed. However, governance in the public sector is often fragmented. This premise poses a challenge for governments, public administrations, professionals and researchers. Currently there is no comprehensive body of academic work on public sector governance, yet it is receiving increasing attention. To fill in this gap a principled approach is proposed here that has several IT Governance-related features: Firstly, relevant aspects of Governance linked to the need of aligning IT with the organisational strategy AIS are considered. Secondly, the COBIT19 best practice framework for the assessment, management and monitoring of IT for the public sector is introduced as the key process for achieving this alignment. Thirdly, a series of phases for the alignment of AIS objectives with the IT strategy proposed by an EU Member State European Administration is provided. Furthermore, in this work it is shown that the application of IT Governance models allows for the alignment of AIS objectives to the IT strategy. Also, some recommendations for future research are put forward.es
dc.description.abstractTo address the challenges of Administrative Information Systems (AIS) in the public sector, appropriate governance solutions are needed. However, governance in the public sector is often fragmented. This premise poses a challenge for governments, public administrations, professionals and researchers. Currently there is no comprehensive body of academic work on public sector governance, yet it is receiving increasing attention. To fill in this gap a principled approach is proposed here that has several IT Governance-related features: Firstly, relevant aspects of Governance linked to the need of aligning IT with the organisational strategy AIS are considered. Secondly, the COBIT19 best practice framework for the assessment, management and monitoring of IT for the public sector is introduced as the key process for achieving this alignment. Thirdly, a series of phases for the alignment of AIS objectives with the IT strategy proposed by an EU Member State European Administration is provided. Furthermore, in this work it is shown that the application of IT Governance models allows for the alignment of AIS objectives to the IT strategy. Also, some recommendations for future research are put forward.
dc.formatapplication/pdfes
dc.format.extent33
dc.identifier.doihttp://dx.doi.org/10.2139/ssrn.4878018
dc.identifier.urihttp://hdl.handle.net/10201/143367
dc.languageenges
dc.publisherSSRN
dc.relationoes
dc.relation.publisherversionhttps://ssrn.com/abstract=4878018
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectIT Governance (ITG)es
dc.subjectAdministrative Information System (AIS)
dc.subjectCOBIT
dc.subjectE-Government
dc.subjectRule based systems
dc.subject.otherCDU::3 - Ciencias socialeses
dc.titleArtificial Intelligence-based approach to IT Governance in public administrationses
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Telematic.pdf
Size:
939.99 KB
Format:
Adobe Portable Document Format
Description:
Artificial Intelligence-Based Approach to it Governance in Public Administrations
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.26 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections