20.500.12556/DKUM-96715 Conceptual key competency model for smart factories in production processes Konceptualni model ključnih kompetenc v proizvodnih procesih pametnih tovarn Background and Purpose: The aim of the study is to develop a conceptual key competency model for smart factories in production processes, focused on the automotive industry, as innovation and continuous development in this industry are at the forefront and represent the key to its long-term success. Methodology: For the purpose of the research, we used a semi-structured interview as a method of data collection. Participants were segmented into three homogeneous groups, which are industry experts, university professors and secondary education teachers, and government experts. In order to analyse the qualitative data, we used the method of content analysis. Results: Based on the analysis of the data collected by structured interviews, we identified the key competencies that workers in smart factories in the automotive industry will need. The key competencies are technical skills, ICT skills, innovation and creativity, openness to learning, ability to accept and adapt to change, and various soft skills. Conclusion: Our research provides insights for managers working in organisations that are transformed by Industry 4.0. For instance, human resource managers can use our results to study what competencies potential candidates need to perform well on the job, particularly in regards to planning future job profiles in regards related to production processes. Moreover, they can design competency models in a way that is coherent with the trends of Industry 4.0. Educational policy makers should design curricula that develop mentioned competencies. In the future, the results presented here can be compared and contrasted with findings obtained by applying other empirical methods. Ozadnje in namen: Namen raziskave je oblikovati konceptualni model ključnih kompetenc v proizvodnih procesih pametnih tovarn. V raziskavi smo se osredotočili na proučevanje avtomobilske industrije, saj sta inovativnost in nenehni razvoj v tej industriji v ospredju in predstavljata ključ dolgoročne uspešnosti panoge. Metodologija: Podatke smo zbrali s pomočjo metode polstrukturiranega intervjuja. Vzorec udeležencev raziskave je namenski, vključeval je tri homogene skupine strokovnjakov, to so poznavalci teme iz industrije, izobraževanja in ministrstev. Za analizo kvalitativnih podatkov smo uporabili metodo analize vsebine. Rezultati: Na podlagi analize podatkov smo opredelili ključne kompetence, ki jih bodo delavci v proizvodnih procesih pametnih tovarn avtomobilske industrije potrebovali. Ključne kompetence so tehnične znanja in spretnosti, IKT znanja, inovativnost in ustvarjalnost, odprtost za učenje ter sposobnost sprejemanja in prilagajanja spremembam. Zaključek: Rezultati naše raziskave nudijo vpogled za managerje, ki delajo v organizacijah, na katere močno vplivajo spremembe, ki jih prinaša Industrija 4.0. Strokovnjaki na kadrovskem področju lahko pridobijo koristne informacije za načrtovanje bodočih delovnih mest v proizvodnih procesih glede kompetenc, ki jih bodo zaposleni potrebovali za svoje delo. Poleg tega lahko oblikujejo kompetenčne modele na način, ki je skladen s trendi Industrije 4.0. Oblikovalci izobraževalne politike bi morali oblikovati učne načrte, ki razvijajo omenjene kompetence. Za nadaljnja raziskovanja predlagamo, da se predstavljene rezultate primerja z ugotovitvami, pridobljenimi z drugimi empiričnimi metodami. competencies conceptual key competency model smart factory Industry 4.0 automotive industry kompetence konceptualni model ključnih kompetenc pametna tovarna Industrija 4.0 avtomobilska industrija true true true Angleški jezik Slovenski jezik Neznano 2026-01-26 09:23:50 2026-01-26 09:23:50 2026-01-27 03:23:17 0000-00-00 00:00:00 2020 0 0 str. 68-79 no. 1 Vol. 53 2020 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 2020-01-01 005.21:658.51 1542012356 10.2478/orga-2020-0005 1318-5454 http://organizacija.fov.uni-mb.si/index.php/organizacija/article/view/1164/1293 1 59421e17-fa90-11f0-9b4e-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202533 RAZ_Jerman_Andrej_2020.pdf RAZ_Jerman_Andrej_2020.pdf 1 6184F7760E494B4D765F9D2095732A7F ce712c9d2c91cc487e8cef7cd7faa380b1424fcb7dd2fa5349ce349946cff83b 7a8dcb42-fa90-11f0-9b4e-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202534 Fakulteta za organizacijske vede Organizacija 0 0 0