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Title:AI Adoption in European Enterprises
Authors:ID Ćukušić, Maja (Author)
Files:.pdf ZUP_Cukusic_Maja_2015.pdf (1,49 MB)
MD5: F85E491334CE67CCD49E58DE98320741
 
URL https://www.hippocampus.si/ISBN/978-961-293-471-2/63.pdf
 
Language:English
Work type:Not categorized
Typology:1.08 - Published Scientific Conference Contribution
Organization:ZUP - University of Primorska Press
Abstract:This paper examines the data on AI adoption in European companies by analysing how different indicators of digital readiness, technological infrastructure and organisational capacity contribute to the successful integration of AI. The study analyses data from 31 European countries and uses fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify three different pathways to AI adoption: digital maturity (a combination of high digital intensity, internet access and ICT security), technology-based readiness (based on in-house data analytics, cloud computing and ICT specialists) and capability-based empowerment (through ICT training alongside ICT staff and ICT security). The results show that multiple configurations can lead to effective AI adoption, underlining the principle of equivalence. The findings underscore the important role of ICT security across all pathways and suggest that workforce development is able to compensate for infrastructural gaps. Some practical guidance for businesses and policy makers are also provided.
Keywords:AI adoption, digital transformation, fsQCA, ICT security, data analytics, cloud computing, ICT skills training, European enterprises
Publication status:Published
Publication version:Version of Record
Publisher:University of Primorska Press
Year of publishing:2015
Number of pages:str. 35-47
PID:20.500.12556/RUP-22698 This link opens in a new window
ISBN:9789612934712
DOI:https://doi.org/10.26493/978-961-293-471-2.35-47 This link opens in a new window
Publication date in RUP:04.03.2026
Views:186
Downloads:3
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Record is a part of a monograph

Title:Navigating change: resilience and innovation for a sustainable and digital era : MIC 2025
Editors:Suzana Sedmak, Suzana Laporšek, Ana Grdović Gnip, Anita Trnavčevič
Place of publishing:Koper
Publisher:University of Primorska Press
Year of publishing:2025
ISBN:978-961-293-471-2
COBISS.SI-ID:270027523 This link opens in a new window
Collection title:Management International Conference
Collection ISSN:2712-3766

Document is financed by a project

Funder:EC - European Commission
Funding programme:Horizon 2020
Project number:101007961
Name:Reshaping labour force participation with Artificial Intelligence
Acronym:AI4LABOUR

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