20.500.12556/RUL-184190 Sprejemanje umetne inteligence v organizacijah – analiza faktorjev vpliva diplomsko delo Artificial intelligence acceptance in organizations: an analysis of influencing factors Umetna inteligenca postaja pomemben del sodobnih organizacij. To se kaže tudi v javni upravi, kjer lahko prispeva k učinkovitejšemu delu, hitrejšemu dostopu do informacij, obdelavi podatkov in podpori pri različnih delovnih nalogah. Kljub temu je njena uporaba odvisna od več individualnih in organizacijskih dejavnikov. Namen diplomskega dela je bil analizirati dejavnike, ki vplivajo na sprejemanje umetne inteligence v organizacijah, s poudarkom na javni upravi. Teoretični del je obravnaval sprejemanje umetne inteligence v organizacijah, pri čemer sta modela TAM in UTAUT predstavljala glavni izhodišči. V empiričnem delu je bila izvedena kvantitativna raziskava z anketnim vprašalnikom med zaposlenimi v javni upravi. Podatki so bili analizirani z opisno statistiko, korelacijsko analizo, linearno regresijsko analizo in analizo variance (ANOVA). Raziskava je pokazala, da zaznana uporabnost in zaznana enostavnost uporabe pozitivno vplivata na namero za uporabo umetne inteligence. Ugotovljeno je bilo tudi, da pozitiven odnos do umetne inteligence in organizacijska podpora pozitivno vplivata na namero za njeno uporabo pri delu. Rezultati kažejo tudi, da namera za uporabo pozitivno vpliva na dejansko uporabo umetne inteligence v javni upravi. Pri analizi razlik glede na starost se je pokazalo, da se zaposleni statistično značilno razlikujejo le v tem, kako enostavna se jim zdi uporaba umetne inteligence. Rezultati prispevajo k boljšemu razumevanju dejavnikov, ki vplivajo na sprejemanje umetne inteligence v organizacijah. Poudarjajo pomen zaznane uporabnosti, enostavnosti uporabe, pozitivnega odnosa do umetne inteligence in organizacijske podpore pri oblikovanju namere za uporabo umetne inteligence ter pomen namere za njeno dejansko uporabo v poslovnem okolju. Artificial intelligence is becoming an important part of modern organizations. This is also evident in public administration, where it can contribute to more efficient work, faster access to information, data processing and support for various tasks. Nevertheless, its use depends on individual and organizational factors. The aim of this thesis was to analyse factors influencing the acceptance of artificial intelligence in organizations, with a focus on public administration. The theoretical part addressed the acceptance of artificial intelligence in organizations, with the TAM and UTAUT as the main foundations. In the empirical part, a quantitative survey was conducted among public administration employees. The data were analysed using descriptive statistics, correlation analysis, linear regression and analysis of variance (ANOVA). The research showed that perceived usefulness and perceived ease of use positively affect the intention to use artificial intelligence. It was also found that a positive attitude toward artificial intelligence and organizational support positively affect the intention to use artificial intelligence. The results also show that the intention to use artificial intelligence positively affects its actual use at work. In the analysis of age differences, it was shown that employees statistically differ only in perceived ease of use. The findings contribute to understanding factors influencing the acceptance of artificial intelligence in organizations. They highlight the importance of perceived usefulness, ease of use, a positive attitude toward artificial intelligence and organizational support in shaping the intention to use artificial intelligence, as well as the importance of intention for its actual use in public administration. umetna inteligenca sprejemanje umetne inteligence model TAM model UTAUT zaznana enostavnost uporabe zaznana uporabnost artificial intelligence artificial intelligence acceptance TAM model UTAUT model perceived ease of use perceived usefulness true false false [M. Abramović] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2026-07-01 11:40:03 2026-07-01 11:40:15 2026-07-03 14:13:33 0000-00-00 00:00:00 2026 0 Ljubljana 0 Ljubljana XI, 62 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 336.13:330.322.5(497.4)(043.2) 19000 283599619 Abramovic_Marko_-_SPREJEMANJE_UMETNE_INTELIGENCE_V_ORGANIZACIJAH_–_ANALIZA_FAKTORJEV_VPLIVA.pdf Abramovic_Marko_-_SPREJEMANJE_UMETNE_INTELIGENCE_V_ORGANIZACIJAH_–_ANALIZA_FAKTORJEV_VPLIVA.pdf 1 5D08E19FDD39E46D884EB7686E9CF479 50b4f2238524e4d127c11d62881e2197710897db2bc65d014f3bc50ab7e01223 c2a7d148-7530-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=236777 Fakulteta za upravo 0 0 0