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Title:Human-centred AI workforce transformation : an integrated framework, theory, and methodology for strategic human resource management
Authors:ID Cajnko, Petra (Author)
ID Šprajc, Polona (Author)
ID Zolak Poljašević, Branka (Reviewer)
ID Podbregar, Iztok (Reviewer)
ID Mencinger, Matej (Reviewer)
ID Ferlič, Nina (Copy-reader)
ID Perša, Jan (Technical editor)
Files:URL http://press.um.si/index.php/ump/catalog/book/1155
 
.pdf RAZ_Cajnko_Petra_2026.pdf (8,97 MB)
MD5: CF07A48371C0591904293F5475A3BC35
 
Language:English
Work type:Unknown
Organization:FOV - Faculty of Organizational Sciences in Kranj
UZUM - University of Maribor Press
FNM - Faculty of Natural Sciences and Mathematics
Abstract:Artificial intelligence is increasingly transforming work, leadership, and workforce development, yet technological readiness alone does not ensure successful organisational transformation. This scientific monograph examines organisational and workforce readiness for AI implementation from the perspective of Strategic Human Resource Management. Drawing on an interdisciplinary theoretical review and two empirical studies, it develops the Integrated AI Workforce Readiness Framework (IAWRF), the Dual-Logic AI Workforce Readiness Theory (DLAWR), and the Integrated AI Workforce Readiness Composite Framework (IAWRC). The monograph identifies four interdependent dimensions of AI workforce readiness: Employee AI Competence, Organisational Readiness, Psychological Acceptance, and Institutional Governance. It advances the paradigm of Human-Centred AI Transformation and argues that sustainable AI implementation requires continuous alignment between technological development, organisational preparedness, workforce capability, employee trust, and responsible governance.
Keywords:artificial intelligence, AI workforce readiness, strategic human resource management, organisational readiness, employee AI competence, psychological acceptance, institutional governance, human-centred AI transformation
Place of publishing:Maribor
Place of performance:Maribor
Publisher:University of Maribor, University of Maribor Press
Year of publishing:2026
Year of performance:2026
Number of pages:1 spletni vir (1 datoteka PDF (III, 138 str.))
PID:20.500.12556/DKUM-100402 New window
ISBN:978-961-299-201-9
UDC:658.3
COBISS.SI-ID:291225091 New window
DOI:10.18690/um.fov.8.2026 New window
Publication date in DKUM:16.09.2026
Views:172
Downloads:5
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:16.09.2026

Secondary language

Language:Slovenian
Title:Na človeka osredotočena transformacija delovne sile z umetno inteligenco : integrirani okvir, teorija in metodologija za strateški management človeških virov
Abstract:Umetna inteligenca vse bolj spreminja način dela, vodenja in razvoja zaposlenih, vendar tehnološka pripravljenost sama po sebi ne zagotavlja uspešne organizacijske transformacije. Znanstvena monografija obravnava pripravljenost organizacij in zaposlenih na uvajanje umetne inteligence z vidika strateškega managementa človeških virov. Na podlagi interdisciplinarnega teoretičnega pregleda in dveh empiričnih raziskav razvija integrirani okvir pripravljenosti delovne sile na umetno inteligenco (IAWRF), teorijo dvojne logike pripravljenosti (DLAWR) ter metodološki okvir IAWRC. V ospredje postavlja štiri medsebojno povezane dimenzije: kompetence zaposlenih za uporabo umetne inteligence, organizacijsko pripravljenost, psihološko sprejemanje in institucionalno upravljanje. Monografija razvija koncept na človeka osredotočene transformacije z umetno inteligenco ter poudarja, da trajnostno uvajanje umetne inteligence zahteva usklajevanje tehnološkega razvoja, organizacijskih zmogljivosti, razvoja zaposlenih, zaupanja in odgovornega upravljanja.
Keywords:umetna inteligenca, strateški management človeških virov, pripravljenost delovne sile na umetno inteligenco, organizacijska pripravljenost, kompetence zaposlenih, psihološko sprejemanje, institucionalno upravljanje, na človeka osredotočena transformacija z umetno inteligenco


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