20.500.12556/DKUM-95413 Podjetništvo mladih in umetna inteligenca: primerjalna analiza zaznavanja, sprejemanja in uporabe umetne inteligence Youth entrepreneurship and artificial intelligence: a comparative analysis of the perception, acceptance and use of artificial intelligence Magistrsko delo obravnava generacijske razlike v zaznavanju, sprejemanju in uporabi umetne inteligence med podjetniki v Sloveniji ter primerjalno analizira zaznane koristi, tveganja, priložnosti in ovire njenega uvajanja. V ospredju je podjetništvo mladih, pri čemer so analizirane značilnosti, motivacija, priložnosti in ovire za mlade, ki jih spremljajo pri uvajanju novih tehnologij v poslovne modele. V teoretičnem delu so predstavljeni ključni koncepti podjetništva mladih, procesi digitalizacije ter vloga umetne inteligence kot orodja za optimizacijo procesov, personalizacijo storitev, podporo pri odločanju in razvoj inovativnih poslovnih modelov. Empirični del temelji na primerjalni analizi zaznav pozitivnih učinkov umetne inteligence (povečanje produktivnosti, inovativnosti, poslovne rasti in izboljšanje uporabniške izkušnje) ter negativnih učinkov (stroški implementacije, varnostni in etični pomisleki, odpor zaposlenih in strank). Primerjalno analizo smo izvedli med mlajšimi (18–34 let) in starejšimi (34+ let) podjetniki, pri čemer smo s statističnimi preizkusi ocenili razlike v percepciji pozitivnih in negativnih učinkov ter v pripravljenosti za uvajanje umetne inteligence v poslovne procese. Rezultati analize so pokazali, da mlajši podjetniki statistično značilno pogosteje zaznavajo pozitivne učinke in so bolj optimistični glede prihodnje vloge umetne inteligence, medtem ko med generacijami ni bilo razlik pri zaznavanju negativnih učinkov, kar kaže na univerzalnost teh pomislekov. Analiza velikosti učinka je potrdila, da imajo ugotovljene razlike praktični pomen, zlasti pri prihodnjih pričakovanjih glede dolgoročnega potenciala umetne inteligence. Sklepi naloge opozarjajo na potrebo po oblikovanju prilagojenih podpornih politik in programov, ki bodo mladim podjetnikom olajšali sprejemanje in uporabo umetne inteligence, hkrati pa zmanjšali tveganja in digitalne neenakosti med podjetniki različnih generacij. The master's thesis examines generational differences in the perception, acceptance, and use of artificial intelligence among entrepreneurs in Slovenia and provides a comparative analysis of the perceived benefits, risks, opportunities, and obstacles to its implementation. The focus is on youth entrepreneurship, analyzing the characteristics, motivation, opportunities, and obstacles for young people accompanying them in the introduction of new technologies into business models. The theoretical part presents key concepts of youth entrepreneurship, digitization processes, and the role of artificial intelligence as a tool for process optimization, service personalization, decision support, and the development of innovative business models. he empirical part is based on a comparative analysis of the perceived positive effects of artificial intelligence (increased productivity, innovation, business growth, and improved user experience) and negative effects (implementation costs, security and ethical concerns, employee and customer resistance). We conducted a comparative analysis between younger (18–34 years) and older (34+ years) entrepreneurs, using statistical tests to assess differences in the perception of positive and negative effects and in the willingness to introduce artificial intelligence into business processes. The results of the analysis showed that younger entrepreneurs statistically significantly more often perceive positive effects and are more optimistic about the future role of artificial intelligence, while there were no differences between generations in the perception of negative effects, which indicates the universality of these concerns. The effect size analysis confirmed that the differences identified are of practical significance, particularly in terms of future expectations regarding the long-term potential of artificial intelligence. The conclusions of the study point to the need to develop tailored support policies and programs that will make it easier for young entrepreneurs to adopt and use artificial intelligence, while reducing risks and digital inequalities among entrepreneurs of different generations. podjetništvo mladih umetna inteligenca generacijske razlike digitalna transformacija digitalizacija percepcija in sprejemanje umetne inteligence podporne politike in programi Slovenija. youth entrepreneurship artificial intelligence generational differences digital transformation digitization perception and acceptance of artificial intelligence support policies and programs Slovenia true true false P. Slaček] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2025-09-17 09:09:08 2025-11-07 09:30:13 2025-11-08 03:10:47 0000-00-00 00:00:00 2025 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 005.2:004.8 256302083 MAG_Slacek_Pina_2025.pdf MAG_Slacek_Pina_2025.pdf 1 35C18BDAF1C302CFDFFB13366AB3D7A0 77bcd5c1d91ac69c1ff0335b9e316d5c88084cd1f251fdb7880855ed818dd535 66f8bf25-a347-11f0-b73b-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=199640 Ekonomsko-poslovna fakulteta 0 0 0