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Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: Analysis of suitable frameworks for artificial intelligence adoption in the public sector
Autor/-in: Pechtor, Václav
Basl, Josef
et. al: No
DOI: 10.35011/IDIMT-2022-67
10.21256/zhaw-28922
Herausgeber/-in des übergeordneten Werkes: Chroust, Gerhard
Doucek, Petr
Oškrdal, Václav
Seite(n): 67
Seiten bis: 74
Angaben zur Konferenz: IDIMT-2022 : digitalization of society, business and management in a pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic
Erscheinungsdatum: 2022
Reihe: Schriftenreihe Informatik
Reihenzählung: 51
Verlag / Hrsg. Institution: Trauner Verlag
Verlag / Hrsg. Institution: Linz
ISBN: 978-3-99113-758-0
Andere Identifier: urn:nbn:at:at-ubl:3-14741
Sprache: Englisch
Schlagwörter: Artificial intelligence; Framework; Machine learning; Digitalization; Literature review; Public sector
Fachgebiet (DDC): 006: Spezielle Computerverfahren
Zusammenfassung: Modern management and digitalization are gaining momentum in the public sector. Governments and municipalities are trying to catch up to the private sector, where the adoption of Artificial Intelligence (AI) is further advanced. Research about AI in the public field is still in the early stages, but publications have increased in the last few years. This paper analyzes the current literature regarding the adoption of AI in the public sector. The goal is to evaluate if there are suitable frameworks that help public institutions introduce, build, and run AI applications. To this goal, articles are evaluated how much the existing frameworks support the adoption AI process.
Weitere Angaben: Proceedings: https://doi.org/10.35011/IDIMT-2022
URI: https://digitalcollection.zhaw.ch/handle/11475/28922
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): CC BY-NC-ND 4.0: Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
Departement: School of Management and Law
Organisationseinheit: Institut für Wirtschaftsinformatik (IWI)
Enthalten in den Sammlungen:Publikationen School of Management and Law

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Pechtor, V., & Basl, J. (2022). Analysis of suitable frameworks for artificial intelligence adoption in the public sector [Conference paper]. In G. Chroust, P. Doucek, & V. Oškrdal (Eds.), IDIMT-2022 : digitalization of society, business and management in a pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic (pp. 67–74). Trauner Verlag. https://doi.org/10.35011/IDIMT-2022-67
Pechtor, V. and Basl, J. (2022) ‘Analysis of suitable frameworks for artificial intelligence adoption in the public sector’, in G. Chroust, P. Doucek, and V. Oškrdal (eds) IDIMT-2022 : digitalization of society, business and management in a pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic. Linz: Trauner Verlag, pp. 67–74. Available at: https://doi.org/10.35011/IDIMT-2022-67.
V. Pechtor and J. Basl, “Analysis of suitable frameworks for artificial intelligence adoption in the public sector,” in IDIMT-2022 : digitalization of society, business and management in a pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic, 2022, pp. 67–74. doi: 10.35011/IDIMT-2022-67.
PECHTOR, Václav und Josef BASL, 2022. Analysis of suitable frameworks for artificial intelligence adoption in the public sector. In: Gerhard CHROUST, Petr DOUCEK und Václav OŠKRDAL (Hrsg.), IDIMT-2022 : digitalization of society, business and management in a pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic. Conference paper. Linz: Trauner Verlag. 2022. S. 67–74. ISBN 978-3-99113-758-0
Pechtor, Václav, and Josef Basl. 2022. “Analysis of Suitable Frameworks for Artificial Intelligence Adoption in the Public Sector.” Conference paper. In IDIMT-2022 : Digitalization of Society, Business and Management in a Pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic, edited by Gerhard Chroust, Petr Doucek, and Václav Oškrdal, 67–74. Linz: Trauner Verlag. https://doi.org/10.35011/IDIMT-2022-67.
Pechtor, Václav, and Josef Basl. “Analysis of Suitable Frameworks for Artificial Intelligence Adoption in the Public Sector.” IDIMT-2022 : Digitalization of Society, Business and Management in a Pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic, edited by Gerhard Chroust et al., Trauner Verlag, 2022, pp. 67–74, https://doi.org/10.35011/IDIMT-2022-67.


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