1. Application of artificial intelligence in e-commerce : master's thesisMarko Pejić, 2025, master's thesis Keywords: artificial intelligence, E-commerce, customer experience, personalization, operational efficiency, recommender systems, chatbots, AI integration, business challenges
Published in RUP: 15.04.2026; Views: 130; Downloads: 6
 Full text (751,05 KB) |
2. Digital Transformation Leadership and AI Capabilities as Drivers of Sustainable Competitive Advantage : The Mediating Role of Organizational Agility in Spain’s New S-Curve IndustriesAbdelhak Alioune, 2026, original scientific article Abstract: The modern trend among various industrial companies to adopt digital technologies in their operations through digital transformation and reliance on artificial intelligence has become an imperative, especially with the increasing intensity of competition in global markets. To gain a realistic understanding of the role of digital transformation leadership (DTL) and AI capabilities (AIC) in achieving sustainable competitive advantage (SCA) for organizations, this study employs organizational agility (OA) as a mediating variable, based on data collected from 441 employees in Spanish ‘New S-Curve’ industries, which are innovative sectors achieving high growth returns within the framework of the ‘Spain 5.0’ national strategy. The statistical and analytical framework of Structural Equation Modelling (SEM) revealed that DTL has a significant impact on SCA, while the effect of AIC was not significant. Furthermore, OA was found to be an important mediator, reinforcing the indirect effects of both DTL and AIC on achieving SCA for Spanish organizations.
Keywords: digital leadership, artificial intelligence capabilities, organizational agility, sustainable competitive advantage, Spain’s S-curve industries
Published in RUP: 10.04.2026; Views: 162; Downloads: 4
Full text (439,80 KB)
This document has more files! More... |
3. Corporate social responsibility practices, managerial attitudes toward artificial intelligence, and AI adoption in micro and small restaurant SMEsMarko Kukanja, Tanja Planinc, 2026, original scientific article Abstract: In hospitality SMEs, digital transformation is increasingly linked to sustainability goals. However, evidence on how corporate social responsibility (CSR) relates to the adoption of artificial intelligence (AI) in owner-managed firms remains limited. This study ex- amines CSR practices, managerial attitudes toward AI, and AI adoption in micro and small restaurant SMEs in a small European Union (EU) economy. Using survey data from 157 Slovenian restaurant SMEs and structural equation modelling, CSR is conceptualised as an enacted, practice-based orientation. At the same time, managerial attitudes toward AI are modelled as the key mechanism preceding adoption. Results reveal an asymmet- ric relationship between CSR and AI. Employee-related CSR practices, which are mainly institutionalised, do not significantly influence managerial AI attitudes. In contrast, en- vironmental CSR practices are negatively associated with AI attitudes, indicating more cautious evaluations among environmentally responsible managers. Managerial attitudes toward AI are positively and significantly associated with AI adoption, confirming their central role in adoption decisions. Financial performance, measured by objective revenue data, does not emerge as a direct outcome of AI adoption but rather operates as a contex- tual condition shaping how CSR practices relate to managerial attitudes and how those attitudes translate into adoption decisions. Overall, the findings indicate that CSR does not uniformly translate into managerial attitudes toward AI and subsequent AI adoption in restaurant SMEs.
Keywords: corporate social responsibility, artificial intelligence adoption, managerial attitudes, restaurant SMEs, sustainability, financial performance
Published in RUP: 23.03.2026; Views: 251; Downloads: 8
Full text (750,64 KB)
This document has more files! More... |
4. Social robots disruptive artificial intelligence educational technology : pre-service teachers’ perceptions in China, Russia and SloveniaAndreja Istenič, Liliya Latypova, Violeta Rosanda, Žiga Turk, Roza Alexeyevna Valeeva, Xuesong Zhai, 2026, original scientific article Abstract: Artificial intelligence transforms human learning and education. Social robots in the elementary classroom enter the human sphere in the critical period of child’s development. Social robotic educational technology, designed for long-term emotional connections and relationships, raises questions in the pedagogic relations and interaction. Research on teacher perceptions and readiness is deficient. This paper reports analyses of aspects of child-social robot interaction are of concern to pre-service teachers from China, Russia and Slovenia. Findings indicate that at the heart of participating pre-service teachers in China, Russia and Slovania concerns are authenticity and humanness. Our findings show their concerns are mainly rooted in the belief that the robot shouldnot acquire the ability to perform authentic interactions nor should undertake a teaching roles. There is a widespread agreement among participants from three cultural contexts that teachers remain essential in educational contexts. In contrast, concerns related to social Interaction indicate notable group differences. The article highlights the teacher’s responsible planning and use of artificial intelligence educational technology.
Keywords: pre-service teachers, artificial intelligence, social robot, humanoid robot, anthropomorphic robot, educational technology, concerns scale, China, Russia, Slovenia
Published in RUP: 16.03.2026; Views: 291; Downloads: 6
Full text (453,42 KB)
This document has more files! More... |
5. Exploring the Landscape of AI and LLMs : Familiarity, Usage, and Education Gaps at a Slovenian HeiStefanija Sikijovska, original scientific article Abstract: This paper aims at gaining insight about the familiarity with AI and LLMs, their usage, and education gaps of students at a Slovenian higher education institution (University of Primorska) and, based on the analysis of the questionnaire results, proposing the necessary future endeavours to raise awareness of pros and cons of using tools like ChatGPT in an educational environment. The paper is organized as follows: after a brief introduction, we give a concise literature review, followed by the research methodology, results of a questionnaire analysis and a conclusion, together with future research recommendations.
Keywords: AI ethics, Artificial Intelligence (AI), AI literacy, bias in AI systems, ChatGPT
Published in RUP: 11.03.2026; Views: 223; Downloads: 8
Full text (410,03 KB)
This document has more files! More... |
6. Ethical aspects of using AI among occupational psychologists : a pilot studyŠpela Bizjan, Ana Arzenšek, 2025, published scientific conference contribution Abstract: Psychologists, specializing in work and organizational psychology (occupational psychologists), play a crucial role in the implementation and development of Human resource management (HRM) processes, which are increasingly affected by artificial intelligence (AI). This research aims to examine how and why AI is utilized among occupational psychologists, as well as the ethical dilemmas associated with this use in relation to the Code of Professional Ethics for Psychologists (the Code). The empirical part of this pilot study is based on a qualitative research design. 6 semi-structured interviews based on 11 questions regarding the use of AI in occupational psychologists’ work were conducted. Participants were selected through purposive sampling. The study results reveal that AI plays a vital role in automating routine administrative tasks. Participants highlighted its contribution to time efficiency and its utility in language translation. Nonetheless, concerns arise regarding increases in the occupational psychologists’ workload, as human oversight is required to ensure the accuracy and reliability of AI. While AI promises objectivity, participants cautioned that algorithms can be biased, potentially leading to discriminatory practices. They also expressed concerns about accountability. This question is pivotal, as the Code mandates the maintenance of professional boundaries and the respect for individuals' rights. Participants also pointed to risks associated with data protection. Despite this awareness, participants admitted they do not rely on the Code in their work with AI, which increases the risk of unethical decision-making. It is recommended that organizations provide adequate training for AI users, regulate data input, and ensure its use in accordance with ethical guidelines. The Slovenian Psychologists’ Association has a pivotal role in the preparation of specific guidelines and advising occupational psychologists on the ethical use of AI.
Keywords: artificial intelligence, AI integration in HRM, Code of professional ethics for psychologists, ethics in human resource processes, occupational psychologists, Slovenia
Published in RUP: 04.03.2026; Views: 257; Downloads: 5
Full text (1,66 MB)
This document has more files! More... |
7. Ethical Aspects of Using AI among Occupational Psychologists : A Pilot StudyŠpela Bizjan, 2025, published scientific conference contribution Abstract: Psychologists, specializing in work and organizational psychology (occupational psychologists), play a crucial role in the implementation and development of Human resource management (HRM) processes, which are increasingly affected by artificial intelligence (AI). This research aims to examine how and why AI is utilized among occupational psychologists, as well as the ethical dilemmas associated with this use in relation to the Code of Professional Ethics for Psychologists (the Code). The empirical part of this pilot study is based on a qualitative research design. 6 semi-structured interviews based on 11 questions regarding the use of AI in occupational psychologists’ work were conducted. Participants were selected through purposive sampling. The study results reveal that AI plays a vital role in automating routine administrative tasks. Participants highlighted its contribution to time efficiency and its utility in language translation. Nonetheless, concerns arise regarding increases in the occupational psychologists’ workload, as human oversight is required to ensure the accuracy and reliability of AI. While AI promises objectivity, participants cautioned that algorithms can be biased, potentially leading to discriminatory practices. They also expressed concerns about accountability. This question is pivotal, as the Code mandates the maintenance of professional boundaries and the respect for individuals' rights. Participants also pointed to risks associated with data protection. Despite this awareness, participants admitted they do not rely on the Code in their work with AI, which increases the risk of unethical decision-making. It is recommended that organizations provide adequate training for AI users, regulate data input, and ensure its use in accordance with ethical guidelines. The Slovenian Psychologists’ Association has a pivotal role in the preparation of specific guidelines and advising occupational psychologists on the ethical use of AI.
Keywords: Artificial intelligence, AI Integration in HRM, Code of Professional Ethics for Psychologists, Ethics in Human Resource Processes, Occupational Psychologists, Slovenia
Published in RUP: 04.03.2026; Views: 265; Downloads: 9
Full text (1,66 MB)
This document has more files! More... |
8. |
9. Public perceptions of generative AI in creative industries : a Reddit-based text mining studyMitja Bervar, Mirjana Pejić Bach, Tine Bertoncel, 2026, original scientific article Abstract: The integration of generative AI into creative industries is reshaping how content is produced, evaluated, and distributed. While recent advancements offer new opportunities for automation and innovation, they also raise questions about authorship, authenticity, and professional identity. This study examines public discourse on generative AI in creative domains through a text-mining analysis of nearly 4000 Reddit posts and comments. Drawing on six relevant subreddits from 2022 to 2025, the research investigates the structure of user engagement, interaction dynamics, and language patterns. It identifies dominant terms and phrases related to AI creativity, explores thematic clusters, and compares discussion styles across key tools such as Midjourney, ChatGPT, Stable Diffusion, and DALL·E. Additionally, it provides a sentiment overview based on automated classification and narrative interpretation. The findings show that Reddit users engage with generative AI not only as a set of technical tools but as a source of cultural, ethical, and creative negotiation. This study contributes to a deeper understanding of how digital transformation in creative industries is shaped by public perception, platform discourse, and evolving community norms.
Keywords: artificial intelligence, generative artificial intelligence, creative industries, human–AI collaboration, creative labor, text mining, Reddit, business ecosystems, value creation
Published in RUP: 16.02.2026; Views: 517; Downloads: 10
Full text (650,97 KB)
This document has more files! More... |
10. Generative artificial intelligence and the creative industries : a bibliometric review and research agendaMitja Bervar, Tine Bertoncel, Mirjana Pejić Bach, 2026, review article Abstract: Generative artificial intelligence (GenAI) is increasingly transforming creative industries through its ability to generate high-quality content, raising critical questions about authorship, ownership, and the future of creative labor. This paper addresses these challenges by conducting a systematic bibliometric review of 119 peer-reviewed articles on GenAI in the creative sectors, published between 2023 and 2025. The study applies PRISMA 2020 guidelines and keyword co-occurrence analysis using VOSviewer to identify thematic clusters and map research trends. The central research question is how the academic literature conceptualizes the role and impact of GenAI within creative industries and how this has evolved over time. Findings reveal nine major thematic areas, ranging from technical implementations to ethical, economic, and institutional perspectives. The analysis shows that recent research emphasizes not only the technological capacities of GenAI, but also its implications for value creation, creative agency, and industry structures. The main contribution of the paper lies in offering a structured overview of current research trajectories, clarifying conceptual ambiguities, and highlighting understudied areas—particularly regarding the intersection of GenAI, platform economies, and labor dynamics. The review also identifies a methodological gap in comparative empirical studies and proposes directions for future research. By mapping the evolving discourse on GenAI in creative industries, this study contributes to both scholarly understanding and policy development. It provides a foundation for interdisciplinary inquiry and a forward-looking agenda for critically assessing GenAI’s role in reshaping creative work.
Keywords: artificial intelligence, creative industries, human–AI collaboration, creative labor, business ecosystems, value creation
Published in RUP: 16.02.2026; Views: 628; Downloads: 4
Full text (3,52 MB)
This document has more files! More... |
