Unraveling the processes and challenges of artificial intelligence implementation in the Swiss public sector: a TOE framework analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F23%3A00059814" target="_blank" >RIV/61384399:31140/23:00059814 - isvavai.cz</a>
Result on the web
<a href="https://idimt.org/wp-content/uploads/2023/08/IDIMT-2023-proceedings.pdf" target="_blank" >https://idimt.org/wp-content/uploads/2023/08/IDIMT-2023-proceedings.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.35011/IDIMT-2023-203" target="_blank" >10.35011/IDIMT-2023-203</a>
Alternative languages
Result language
angličtina
Original language name
Unraveling the processes and challenges of artificial intelligence implementation in the Swiss public sector: a TOE framework analysis
Original language description
Main topics of the document: Artificial intelligence (AI); public sector; AI adoption
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IDIMT-2023, New challenges for ICT and management, 31st Interdisciplinary informations management talks
ISBN
978-3-99151-176-2
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
203-215
Publisher name
Trauner Verlag, Buchservice GmbH
Place of publication
Linz
Event location
Hradec Králové
Event date
Sep 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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