1. Revisiting cluster organizations as drivers of public-private cooperation in Central and Eastern EuropeCristian Gangaliuc, Lukáš Danko, Sıla Ceren Varış Husar, 2025, izvirni znanstveni članek Opis: Central and Eastern Europe continue to generate incremental innovations, slow rates of technology commercialization, and exhibit limited public-private collaboration in research and development. This paper examines the role of cluster organizations as intermediaries, particularly in bridging the knowledge transfer gap between industry and research. Employing qualitative comparative analysis methodology, this exploratory paper highlights the conditions that foster industry-driven collaboration. As a mixed research method that is novel to cluster research, it provides a fresh perspective on how companies establish and maintain connections with research centers. The analysis investigates the associations between the hindering and facilitating factors of cooperation within cluster organizations (conditions) and the prevalence of business-initiated collaboration with research organizations (outcome). The results indicate that structural, socio-behavioral and power dynamics factors influence the patterns of cooperation between these two types of actors. However, to contribute to the advancement and continuity of these relationships, intermediary actors should prioritize addressing the power imbalances to secure strategic cooperation that can lead to regional structural and systemic transformations. The results provide evidence for policy implications, emphasizing the importance of simplifying early-stage technology transfer procedures and reducing administrative obstacles to enhance clusters’ mediator role in an innovation system.
Ključne besede: cluster organizations, industry, research organizations, fuzzy set, qualitative comparative analysis, innovation collaboration
Objavljeno v ReVIS: 15.01.2026; Ogledov: 77; Prenosov: 1
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2. Application of machine learning method for hardness prediction of metal materials fabricated by 3D selective laser meltingMatej Babič, Roman Šturm, Mirosłav Rucki, Zbigniew Siemiątkowski, 2025, izvirni znanstveni članek Opis: In this article, models for prediction of surface hardness for SLM specimens are presented. In experiments, EOS Maraging Steel MS1 was processed using EOS M 290 3D printer via selective laser melting (SLM). To predict hardness of SLM specimens, several machine learning methods were applied, including genetic programming, neural network, multiple regression, k-nearest neighbors, support vector machine, logistic regression, and random forest. In the research, fractal geometry was used to characterize the complexity of SLM-shaped microstructures. It was found that fractal geometry combined with machine learning techniques together greatly improved our comprehension of the intricacies of surface analysis and provided highly efficient predictions. All the applied algorithms exhibited predictability above 90%, with the best average result of 98.7% for genetic programming.
Ključne besede: additive manufacturing, SLM, machine learning, hardness prediction, fractal geometry
Objavljeno v ReVIS: 15.01.2026; Ogledov: 50; Prenosov: 1
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3. Modeliranje topografskih lastnosti 3D tiskanih kovinskih materialovMatej Babič, 2025, izvirni znanstveni članek Opis: Ta raziskava predstavlja prelomno metodo, ki združuje fraktale, teorijo omrežij in genetsko programiranje, z analizo topografije površine kovinskih aditivnih delov. Natančneje, osredotočena je na selektivno lasersko taljenje maragingnega jekla EOS MS1, obdelanega s 3D-tiskalnikom EOS M 290. Ugotovitve kažejo na znatno izboljšanje natančnosti karakterizacije hrapavosti površine pri uporabi genetskega programiranja. Uporaba fraktalne geometrije in strojnega učenja je izboljšala naše razumevanje kompleksnosti selektivnega laserskega taljenja površin. Ta študija ne le prispeva k področju aditivne proizvodnje s ponujanjem učinkovitejšega in natančnejšega pristopa k nadzoru kakovosti, temveč tudi postavlja temelje za prihodnja raziskovanja drugih materialov in izpopolnjevanje analitičnih tehnik. Potencial te metode pri podpori praks 3D-tiskanja kovin je precejšen, kar kaže na obetavno prihodnost za industrijo tako v smislu inovacij kot uporabe.
Ključne besede: aditivna proizvodnja, selektivno lasersko taljenje, hrapavost površine, fraktalna geometrija, teorija omrežij, genetsko programiranje
Objavljeno v ReVIS: 15.01.2026; Ogledov: 54; Prenosov: 1
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4. Understanding the drivers of temporary agency work in Slovenia : implications for sustainable labor practicesKatarina Krapež, 2025, izvirni znanstveni članek Opis: Temporary agency work (TAW) has expanded globally as organizations seek flexibility amid skill shortages and demand volatility. In 2015 the United Nations recognized ‘decent work’ as Sustainable Development Goal (SDG 8), emphasizing sustainable economic growth, fair employment opportunities accessible to all without discrimination, environmental responsibility, and social inclusiveness. This study examines why user organizations (clients) adopt TAW and how these drivers materialize in stakeholder practices that align—or fail to align—with SDG-8 dimensions of decent work. Within a qualitativedominant, explanatory sequential mixed-methods case study, documentary and statistical analyses were combined with 19 semi-structured interviews across agencies, clients, agency workers, trade unions, and relevant authorities. Inductive thematic analysis identified seven demand-side driver categories and assessed their effects using the SDG-8 pillars as an analytical lens (employment creation, rights at work, social protection, social dialogue). Findings indicate that TAW is primarily deployed to buffer volatility and labour shortages, accelerate hiring, and shift HR administration and parts of risk to agencies, with limited integration of SDG-8–consistent practices. Three cross-cutting gaps emerged: (i) social dialogue is narrow and compliance-oriented, with little strategic focus on decent-work outcomes; (ii) agency-worker voice and representation are weak, and agencies are not consistently recognised as social partners; and (iii) social-sustainability efforts are sparse and ad hoc, with few structured measures for skill development, equal treatment, or clear conversion pathways, while environmentally friendly initiatives are almost completely absent. In Slovenia, TAW fills systemic labour gaps but remains weakly integrated with SDG-8 practices. The study links demand-side drivers to specific decent-work shortfalls and proposes a multi-level policy roadmap—regulatory, industry, TAW agency, and social-dialogue platforms—to advance progress toward social sustainability and environmental responsibility.
Ključne besede: decent work (SDG 8), equal treatment, labour shortages, seasonality, social dialogue, social sustainability, temporary agency work, environmental responsibility
Objavljeno v ReVIS: 12.01.2026; Ogledov: 96; Prenosov: 3
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5. A fermatean fuzzy MCDM framework for green port transformation and heavy-duty forklift selectionGalip Cihan Yalçın, Karahan Kara, Pınar Gürol, Matej Babič, 2025, izvirni znanstveni članek Opis: The rapid growth of global trade has heightened the importance of efficient container handling, environmentally responsible operations, and high-performing equipment selection in sustaining the competitiveness of modern supply chains. Container Freight Stations (CFS) serve as critical operational hubs where loading, unloading, inspection, and temporary storage activities are conducted, thereby requiring equipment capable of safely and efficiently handling heavy-tonnage cargo while aligning with green port transformation goals. Forklifts, which constitute one of the core equipment groups in CFS yards, differ significantly in terms of lifting capacity, power systems, maneuverability, hydraulic performance, ergonomics, and environmental impact, transforming forklift selection into a complex, multi-dimensional decision problem shaped by both technical and Environmental, Social, and Governance (ESG)-oriented considerations. Incorrect equipment choices may lead to operational downtime, energy inefficiency, equipment failures, and occupational safety risks, particularly in operations involving loads exceeding 25 tons. To address these challenges, this study proposes a hybrid decision-making framework that integrates expert-driven fuzzy assessments with sustainability-based evaluation using the FF-Hamacher-MEREC-ARLON methodology. In the first stage, expert weights and criterion importance values were calculated through the FF-MEREC approach, while alternative forklifts were ranked using the FF-ARLON method in the second stage. Two sensitivity analysis scenarios were applied: one by modifying the tradeoff ratio within ARLON and the other by sequentially removing each criterion. In both scenarios, the fourth alternative consistently emerged as the most suitable option. Furthermore, comparative analyses using eight established MCDM techniques; ALWAS, AROMAN, ARTASI, MABAC, MARCOS, RAM, SAW, and WASPAS; demonstrated complete agreement with the proposed model, confirming the fourth alternative as the top-ranked choice. The findings highlight the robustness, reliability, and sustainability alignment of the proposed framework for high-stakes heavy-duty equipment selection in port-based logistics operations.
Ključne besede: Container Freight Stations, Fermatean fuzzy sets, Hamacher aggregation operator, MEREC, ARLON
Objavljeno v ReVIS: 12.01.2026; Ogledov: 101; Prenosov: 1
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6. Modeling porosity surface of 3D selective laser melting metal materialsMatej Babič, Roman Šturm, Teofil-Florin Gălăţanu, Ildikó-Renáta Száva, Ioan Száva, 2025, izvirni znanstveni članek Opis: The most popular method for additively printing metal components is selective laser melting (SLM), which works well for creating working models and prototypes. A fine metal powder, often (stainless) steel or aluminum, serves as the initial material. A very accurate laser is used to melt this layer by layer. The most important factor here is the short throughput time in comparison to milling. Selective laser melting becomes increasingly valuable as geometry becomes more complex. Presented study models the porosity of 3D SLM of metal materials using genetic programming and network theory. We used fractal dimensions to determine the complexity of the microstructure of selective laser melting specimens. The method’s usefulness and efficiency were confirmed by experimental work using an EOS M 290 3D printer and EOS Maraging Steel MS1. This study then presented a novel viewpoint on porosity and has important ramifications for additive manufacturing quality control, which could improve the accuracy and effectiveness of 3D metal printing. The goal was to present a modeling porosity of 3D SLM of metal materials by using a method of intelligent system.
Ključne besede: additive manufacturing technology, SLM, machine learning methods, fractal geometry, modeling
Objavljeno v ReVIS: 04.12.2025; Ogledov: 252; Prenosov: 1
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7. Fundamental Characteristics and Applicability of the RADAR Method : proof of ranking consistencyNikola Komatina, Dragan Marinković, Matej Babič, 2026, izvirni znanstveni članek Opis: This paper presents a mathematical explanation of one of the Multi-Attribute Decision-Making (MADM) methods—the RAnking based on Distance And Range (RADAR) method—along with its modified variant, RADAR II. Through mathematical proofs, the influence of each step of the method on the final ranking of alternatives is analyzed. The methods are tested on three numerical examples with varying criterion weights. The robustness of the methods, as well as their fundamental characteristics, is demonstrated. A comparative analysis reveals that although both methods prioritize alternatives based on their stability across all criteria—particularly the most important ones—the RADAR II method is somewhat more rigorous and stringent, whereas the original RADAR method is more flexible and yields more objective results.
Ključne besede: MADM, RADAR, RADAR II, Mathematical proofs, Fundamental characteristics, Multi-Attribute Decision-Making (MADM)
Objavljeno v ReVIS: 04.12.2025; Ogledov: 173; Prenosov: 1
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8. Open and citizen science in light of new European research policiesFrane Adam, Maruša Gorišek, 2025, izvirni znanstveni članek Opis: This article discusses the meaning of open science, and in particular the concept of citizen science, in a broader socio-political and scientific context. The authors highlight the ambivalence of these concepts and the lack of critical reflection on the possible (unwanted) negative implications of the establishment of these ideas. The authors address these issues using an international comparative analysis based primarily on documentation and secondary data analysis. Research approaches in the sense of open science and citizen science can, in many cases, be useful for researchers as well as for cognitively active citizens. They can enable the enrichment of knowledge and the potential for (social) innovation. However, there are also risks and unwanted side effects that diminish the relevance and status of scientific research. It is particularly dangerous to create illusions about the potential of ad hoc citizen science projects and their outstanding, immediate results. The campaign for open science may serve as a cover-up for some of the problems and anomalies in the realm of science. The authors also see danger in the potential erosion of the autonomy of science and diverting attention from some of the more pressing problems in science.
Ključne besede: open science, citizen science, socialization of science, science policy, action research
Objavljeno v ReVIS: 01.12.2025; Ogledov: 254; Prenosov: 1
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9. The European Union cohesion policy impact on circular economy and renewable energy : a comparison between Portugal and SloveniaErika Džajić Uršič, Bernardo Valente, 2025, izvirni znanstveni članek Opis: The European Union (EU) Cohesion Policy promotes sustainable transitions. It emphasises establishing a solid Circular Economy (CE) plan and a Renewable Energy (RE) transition effort for an environment that matches the United Nations’ sustainable develop-ment goals. This article compares the impact of the European Cohesion Policy on CE prac-tices and RE in Portugal and Slovenia during the last funding programme from 2014 to 2020. Aligned with the EU Green Deal goals, this research analyses qualitative material and quantitative data in indexes crucial to track sustainability development in Portugal and Slo-venia, leading to a forecasting model for the following years (until 2027). These countries were picked due to their similarities in economic circumstances and environmentally friend-ly legal frameworks that allow comparison of the two case studies without overlooking cru-cial variables. By focusing on 12 dimensions within the CE and RE dimensions, the study aims to identify patterns contributing to a comprehensive understanding of the specific needs and strategies to strengthen project selection and implementation in both countries for the 2021-2027 EU Cohesion Policy Programme.
Ključne besede: European cohesion policy, circular economy, renewable energy transition, Portugal, Slovenia
Objavljeno v ReVIS: 21.11.2025; Ogledov: 325; Prenosov: 5
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10. From Policy to Practice : EU Circular Economy Legislation and Slovenia’s Implementation Challenges—A Systematic ReviewErika Džajić Uršič, Alenka Pandiloska Jurak, Jelena Topić, 2025, izvirni znanstveni članek Opis: The Circular Economy (CE) has become a foundation of the European Union’s sustainability strategy, aiming to dissociate economic growth from resource use. This article examines the legislative and monitoring frameworks underpinning the European Union’s CE transition, with a particular focus on Slovenia. A systematic review conducted in accordance with the PRISMA 2020 guidelines, EU-level policy analysis, and national indicator evaluation, this article explores the alignment between Slovenia’s national strategies and EU objectives. While Slovenia has demonstrated policy ambition and performs well in municipal recycling, it underperforms in circular material use and domestic material consumption. Governance fragmentation, limited sectoral integration, and monitoring challenges are key barriers. The study contributes to CE research by offering a country-level perspective on policy translation and performance. Recommendations are proposed to strengthen governance, data systems, and sector-specific roadmaps. These conclusions offer valuable insights for scholars and policymakers involved in implementing CE across multi-level governance systems.
Ključne besede: circular economy, EU legislation, Slovenia, policy implementation, governance, monitoring indicators, sustainability transition
Objavljeno v ReVIS: 03.11.2025; Ogledov: 369; Prenosov: 2
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