Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-28922Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Pechtor, Václav | - |
| dc.contributor.author | Basl, Josef | - |
| dc.date.accessioned | 2023-10-21T12:59:03Z | - |
| dc.date.available | 2023-10-21T12:59:03Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.isbn | 978-3-99113-758-0 | de_CH |
| dc.identifier.other | urn:nbn:at:at-ubl:3-14741 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/28922 | - |
| dc.description | Proceedings: https://doi.org/10.35011/IDIMT-2022 | de_CH |
| dc.description.abstract | 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. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | Trauner Verlag | de_CH |
| dc.relation.ispartofseries | Schriftenreihe Informatik | de_CH |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | de_CH |
| dc.subject | Artificial intelligence | de_CH |
| dc.subject | Framework | de_CH |
| dc.subject | Machine learning | de_CH |
| dc.subject | Digitalization | de_CH |
| dc.subject | Literature review | de_CH |
| dc.subject | Public sector | de_CH |
| dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
| dc.title | Analysis of suitable frameworks for artificial intelligence adoption in the public sector | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Management and Law | de_CH |
| zhaw.organisationalunit | Institut für Wirtschaftsinformatik (IWI) | de_CH |
| zhaw.publisher.place | Linz | de_CH |
| dc.identifier.doi | 10.35011/IDIMT-2022-67 | de_CH |
| dc.identifier.doi | 10.21256/zhaw-28922 | - |
| zhaw.conference.details | IDIMT-2022 : digitalization of society, business and management in a pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.end | 74 | de_CH |
| zhaw.pages.start | 67 | de_CH |
| zhaw.parentwork.editor | Chroust, Gerhard | - |
| zhaw.parentwork.editor | Doucek, Petr | - |
| zhaw.parentwork.editor | Oškrdal, Václav | - |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.series.number | 51 | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Appears in collections: | Publikationen School of Management and Law | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2022_Pechtor-Basl_Frameworks-for-AI-adoption-public-sector.pdf | 278.25 kB | Adobe PDF |  View/Open |
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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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