1. Business and technological processes optimization in automotive manufacturing : continuous improvement through process capability, operational effectiveness, and return on investmentRobert Pavlin, Mirko Markič, Franci Pušavec, Aleksander Janeš, 2026, izvirni znanstveni članek Opis: This study develops and empirically validates an integrated monitoring framework linking technological, operational, and financial performance indicators in automotive manufacturing. While process capability (Cpk), overall equipment effectiveness (OEE), and return on investment (ROI) are widely applied, their interrelationships are rarely examined within a unified empirical framework in real production environments. The proposed model is implemented within a business and technological processes monitoring system for the production of automotive daytime running lights (DRL), combining real-time measurement, automated data acquisition, and structured process optimization. A multi-phase implementation strategy enabled the transition from manual to fully automated monitoring, supported by more than 1,400 measurements collected across key technological operations in accordance with international standards. A longitudinal case study design was applied, and statistical analyses, including correlation and regression methods, were used to examine relationships between process capability, operational performance, and financial outcomes. The results show that systematic optimization increased equipment effectiveness from 78.36 % to 85.41 % and financial return from €2.9 million to €7.98 million, while achieving process capability levels above the required thresholds (Cpk > 2). A strong statistical relationship was identified between OEE and ROI, whereas the relationship between process capability Cpk and OEE was not statistically confirmed as a direct effect. The findings indicate that technological, operational, and financial indicators are interconnected but not strictly linear, highlighting the importance of integrated monitoring for understanding performance dynamics in manufacturing systems. The proposed framework provides an empirically grounded approach for linking process stability, operational efficiency, and financial outcomes, supporting performance evaluation and continuous improvement in automotive manufacturing.
Ključne besede: business and technological process, process capability, overall equipment effectivenes, return on investment, key performance indicators, process optimization, automotive manufacturing
Objavljeno v RUP: 07.07.2026; Ogledov: 316; Prenosov: 9
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2. Upskilling older employees in the artificial intelligence eraTinkara Žabar, Aleksander Janeš, 2025, izvirni znanstveni članek Opis: Research Question (RQ): What is the effect of new technologies, with an emphasis on artificial intelligence (AI), on the need to upskill older employees (50+ years). Purpose: The purpose of the research was to carry out a systematic literature review of existing research in the field of the effect of AI on the upskilling needs of older employees. Method: We performed a systematic literature review across six academic search engines: ProQuest, Emerald, Sage Journals, Springer, Research Gate, and Google Scholar. Results: Artificial intelligence is significantly transforming the labor market, as it requires constant adaptation to new skills and knowledge. AI has a significant effect on older employees, who are exposed to greater challenges due to a possible lack of digital skills and sensitivity to change. In this context, training and further education are key mechanisms to ensure that skills match the requirements of the work environment and the labor market. Organizations must quickly adapt to changing requirements by creating a culture of lifelong learning that encourages seniors and other employees to improve. Training programs must be based on the specific needs and challenges faced by older employees. Organization: The research emphasizes the importance of training older employees in the age of AI and encourages organizations to create a culture of lifelong learning as part of the organization's strategic directions and goals. Society: The importance of research for society is reflected in the insight into the involvement of all age groups in the possibility of improving knowledge, skills, and attitudes towards the use of modern technologies. Organizations and society itself bear the social responsibility to enable older employees to successfully integrate into the work environment in the AI era. Originality: The research addresses the need to improve the skills of a specific age group in the age of AI, where it simultaneously highlights the importance of fostering a culture of lifelong learning in a rapidly changing world. The research findings provide guidelines for policymaking in the field of training on the national level in the context of an aging workforce and new technologies. Limitations/further research: The literature review was limited to six publicly available databases. In the article, older employees were considered as people in the labor process older than 50 years. We must emphasize that older employees differ from each other in terms of education, economic, social, and other circumstances. Further research should investigate the effect of new technologies regarding the specific circumstances mentioned in this age group.
Ključne besede: knowledge society, upskilling, knowledge management, retraining, older employees, artificial intelligence, lifelong learning
Objavljeno v RUP: 12.01.2026; Ogledov: 669; Prenosov: 6
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3. Opolnomočenje starejših zaposlenih v dobi umetne inteligence z vseživljenjskim učenjemTinkara Žabar, Aleksander Janeš, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: Umetna inteligenca (UI) je pomembna komponenta sodobnega sveta in sočasno pospeševalec digitalne transformacije. Organizacije v svoje poslovanje uvajajo tehnologije UI z namenom ohranjanja konkurenčne prednosti. Vzporedno to ustvarja tudi nove zahteve po veščinah na trgu dela in samih delovnih mestih. Starejši zaposleni (starosti 50+ let) so zaradi slabše razvitih kompetenc, potrebnih za upravljanje s tehnologijami UI, v slabšem položaju kot njihovi mlajši sodelavci, kar dodatno povečuje digitalni razkorak. Pomanjkanje ustreznih kompetenc lahko starejše zaposlene sili v zgodnjo upokojitev, nekonkurenčnost na trgu dela ali celo v brezposelnost. Raziskava temelji na sistematičnem pregledu literature v sedmih bazah podatkov, kjer smo preučevali vlogo delodajalcev pri opolnomočenju starejših zaposlenih v dobi UI. Ugotovitve poudarjajo pomen ustvarjanja kulture vseživljenjskega učenja (VŽU) v organizacijah, ki zaposlene spodbuja k nenehnemu izpolnjevanju v kontekstu hitro spreminjajočih se zahtev pri delu zaradi napredkov UI. V kontekstu starajoče se delovne sile je opolnomočenje starejših ključnega pomena, saj so zaradi omejenih digitalnih kompetenc ranljivi na trgu dela. VŽU tako služi kot ključni mehanizem za opolnomočenje starejših zaposlenih, ker jim omogoča nujno prilagajanje in uspešno delovanje na hitro spreminjajočem se trgu dela.
Ključne besede: management izobraževanja, opolnomočenje, starejši zaposleni, umetna inteligenca, vseživljenjsko učenje
Objavljeno v RUP: 04.12.2025; Ogledov: 850; Prenosov: 15
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4. Stališča študentov do umetne inteligenceAndreja Klančar, Aleksander Janeš, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: Namen prispevka je predstaviti stališča študentov izbranih fakultet Univerze na Primorskem do rabe umetne inteligence (UI), njihovo dejansko rabo UI ter raven ozaveščenosti o UI. V raziskavo je bilo vključenih 195 rednih dodiplomskih študentov dveh izbranih fakultet Univerze na Primorskem (105 z UP PEF in 90 z UP FM). V okviru raziskave smo preučili tudi povezanost teh dejavnikov in prihodnje rabe UI ter preverili, kateri izmed dejavnikov je pri tem najmočnejši napovedni dejavnik te rabe. Analiza rezultatov korelacije je pokazala, da je prihodnja namera uporabe UI najmočneje povezana z dejansko rabo, nato s stališči, povezava z ozaveščenostjo o UI ni statistično pomembna. Analiza rezultatov regresije je dodatno potrdila, da je uporaba UI statistično najmočnejši napovednik prihodnje uporabe slednje.
Ključne besede: umetna inteligenca, stališča študentov, ozaveščenost o UI, uporaba UI, trajnostni vidik, management znanja
Objavljeno v RUP: 20.11.2025; Ogledov: 942; Prenosov: 26
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6. Management in monitoring poslovnih ter tehnoloških procesov : doktorska disertacijaRobert Pavlin, 2024, doktorska disertacija Ključne besede: CMK, kritične strojne zmožnosti, CPK, kritične procesne zmožnosti, KPI, management, MSA, OEE, skupna učinkovitost opreme, PMM, ROI, donosnost vloženega kapitala
Objavljeno v RUP: 14.11.2024; Ogledov: 2515; Prenosov: 106
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7. Business process management : study materialAleksander Janeš, 2024, drugo učno gradivo Ključne besede: efficient, effective, key process indicators, processes, process approach, business model, business process management, process orientation, production, services, strategic map, business perfomance
Objavljeno v RUP: 24.09.2024; Ogledov: 2001; Prenosov: 83
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9. Sprememba procesov organizacije v času covid-19 : zaključna projektna nalogaMonika Preradović, 2022, diplomsko delo Ključne besede: covid-19, trgovina, poslovni procesi, sprememba, ovire, organizacije, strategije, motivacija
Objavljeno v RUP: 31.08.2022; Ogledov: 3999; Prenosov: 66
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