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Umetna inteligenca pri nadzoru zaposlenih: bibliometrična analiza, zakonodajni okvir EU in študije primerov iz prakse : magistrsko delo
ID Černoša, Barbara (Author), ID Kronegger, Luka (Mentor) More about this mentor... This link opens in a new window

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Abstract
Osrednji cilj naloge je pregled člankov na področju raziskav o prisotnosti UI za spremljanje in podporo zaposlenim na delovnih mestih, ki bo v empiričnem delu naloge izveden z metodo bibliometrične analize. Namen analize bo ugotoviti ali akademska skupnost oz. znanost zaznava nove načine spremljanja na delovnem mestu z uporabo naprednih orodij, ki temeljijo na umetni inteligenci (UI) in ga obravnava iz vidika različnih sklopov oz. ved (tehnike, upravljanja, zdravja...) ter njihove vplive na zaposlene. Raziskava obravnava, kako UI naslavlja demografske spremembe, kot je staranje prebivalstva, in spremembe na trgu dela, vključno s prilagajanjem delovne sile in izzivi produktivnosti. V nalogi bomo preko bibliometrične analize predstavili pregled akademskih člankov in raziskav na to temo ter dopolnili analizo s študijami primerov iz prakse podjetij. Namen te raziskave je prepoznati ključne avtorje, institucije, revije in tematske usmeritve znotraj tega področja ter opozoriti na potrebo čimprejšnji implementaciji UI v delovnem okolju.

Language:Slovenian
Keywords:umetna inteligenca, UI, bibliometrična analiza, staranje prebivalstva, demografske spremembe, produktivnost, avtomatizacija, robotika
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FDV - Faculty of Social Sciences
Place of publishing:Ljubljana
Publisher:B. Černoša
Year:2025
Number of pages:1 spletni vir (1 datoteka PDF (86 str.))
PID:20.500.12556/RUL-174116 This link opens in a new window
UDC:004.89:[005.962:005.584](043.2)
COBISS.SI-ID:253421315 This link opens in a new window
Publication date in RUL:27.09.2025
Views:128
Downloads:15
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Secondary language

Language:English
Title:Artificial intelligence in employee monitoring: a bibliometric analysis, the EU legislative framework, and case studies from practice
Abstract:
The main goal is to review articles in the field of research on the presence of AI for monitoring and supporting employees, which will be carried out in the empirical part of the thesis using the method of bibliometric analysis. The purpose of the analysis will be to determine how artificial intelligence (AI) is being used and whether these new technologies are being researched in the academic field along different branches of science (technology, management, health). The study explores how AI addresses demographic changes, such as aging populations, and labor market shifts, including workforce adaptation and productivity challenges. Through bibliometric analysis, this thesis will map the academic landscape on the topic by identifying key authors, institutions, journals, and thematic trends. This will be supplemented with real-world case studies to illustrate practical challenges. The goal is to highlight the urgent need for AI implementation in different work environments.

Keywords:artificial intelligence, AI, bibliometric analysis, aging population, demographic change, productivity, automation, robotics

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