1. Identification and prioritization of barriers to the implementation of an asset management system in the healthcare sector using a Delphi-AHP approachDamjan Maletič, Justyna Trojanowska, Mateja Lorber, Matjaž Maletič, 2025, original scientific article Abstract: Purpose – An effective asset management system (AMS) is essential for healthcare organizations looking to
maximize value and performance while minimizing risk and cost. This study aims to identify and evaluate the
barriers to AMS adoption and evaluate them from a healthcare perspective.
Design/methodology/approach – The study is based on a combination of the Delphi method and the analytic
hierarchy process (AHP) with 30 participants from various Slovenian healthcare organizations. Through
iterative consensus and prioritization, the Delphi-AHP process resulted in 23 validated barriers, ranked
according to their perceived importance for AMS implementation.
Findings – The resultsidentified key barriersto implementing AMS in healthcare organizations and categorized
them into five dimensions: strategic, human resources, contextual, structural and procedural. The highest ranked barriers were deficient leadership, a shortage of qualified personnel and workforce overload. This
indicates that strategic alignment and organizational capacity are perceived as the most critical obstacles to
adopting AMS.
Originality/value – Thisstudy advancesthe existing literature by addressing a critical gap and providing deeper
insight into the factors that impede the successful implementation of AMS in healthcare settings, a domain
where empirical evidence remains limited.
Keywords: ssset management, healthcare, barriers, organizational resilience, organizational mechanisms, high-tech industry
Published in DKUM: 09.12.2025; Views: 0; Downloads: 0
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2. Advancing intelligent toolpath generation: A systematic review of CAD–CAM integration in Industry 4.0 and 5.0Marko Simonič, Iztok Palčič, Simon Klančnik, 2025, original scientific article Abstract: This systematic literature review investigates advancements in intelligent computer-aided design and computer-aided manufacturing (CAD–CAM) integration and toolpath generation, analyzing their evolution across Industry 4.0 and emerging Industry 5.0 (I5.0) paradigms. Using the theory–contextcharacteristics–methodology framework, the study synthesizes 51 peer-reviewed studies (from 2000 to 2025) to map theoretical foundations, industrial applications, technical innovations, and methodological trends. Findings reveal that artificial intelligence (AI) and machine learning dominate research, driving breakthroughs in feature recognition, adaptive toolpath optimization, and predictive maintenance. However, human-centric frameworks central to I5.0, such as socio-technical collaboration, remain underexplored. High-precision sectors (aerospace, biomedical) lead adoption, while small and medium enterprises (SMEs) lag due to resource constraints. Technologically, AI-driven automation and STEP-NC standards show promise, yet interoperability gaps persist due to fragmented data models and legacy systems. Methodologically, AI-based modeling prevails (49 % of studies), but experimental validation and socio-technical frameworks are sparse. Key gaps include limited real-time adaptability, insufficient AI training datasets, and slow adoption of sustainable practices. The review highlights the urgent need for standardized data exchange protocols, scalable solutions for SMEs, and human-AI collaboration models to align CAD–CAM integration with I5.0’s
Keywords: CAD–CAM integration, Industry 4.0, Industry 5.0, toolpath optimization, AI, theory–context–characteristics–methodology (TCCM)
Published in DKUM: 09.12.2025; Views: 0; Downloads: 4
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3. A systems perspective on sustainable leadership and innovation capability : building organizational resilience in a high-tech companyNenad Vladić, Damjan Maletič, Matjaž Maletič, 2025, original scientific article Abstract: While previous studies have examined sustainable leadership and innovation separately, limited attention has focused on their systemic interconnection. Building on established
frameworks, this study adopts a systems perspective to explain how sustainability-oriented leadership mechanisms shape innovation capability across strategic, organizational, and
functional levels. Drawing on a single-case study of an information-rich high-tech company, data were collected through semi-structured interviews and internal documentation
to examine leadership practices and organizational enablers that foster innovation. The findings show that sustainable leadership strengthens innovation capability by embedding sustainability values into organizational routines, aligning strategic intent with daily learning, and empowering employees to experiment, collaborate, and share knowledge
continuously. These feedback-driven processes connect strategic intent with operational learning, enabling organizations to adapt and renew. The study introduces the Systems
Framework for Sustainable Innovation Capability (SFSIC), which explains how leadership, culture, and learning interact as interdependent components of innovation capability and
organizational resilience. By framing innovation capability as a dynamic, feedback-driven process rather than a fixed set of determinants, the study advances theory by specifying how sustainability-oriented leadership strengthens adaptive capacity within innovation ecosystems. The study offers guidance for building innovation capability and resilience through aligned leadership practices, enabling structures, and feedback-based learning systems.
Keywords: sustainable leadership, innovation capability, systems thinking, organizational resilience, organizational mechanisms, high-tech industry
Published in DKUM: 01.12.2025; Views: 0; Downloads: 1
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5. Navigating success : how decision–making transforms software performance into business performance in the logistics industry from an emerging countryBukra Doganer Duman, Gültekin Altuntaş, 2025, original scientific article Abstract: Background/Purpose: This study investigates the mediating role of decision–making performance in the link between software performance and overall business performance in the logistics sector of an emerging economy. As logistics companies increasingly rely on digital infrastructures, understanding how advanced systems contribute to strategic outcomes is critical for sustaining competitiveness. Methods: A conceptual framework was developed integrating ERP systems, big data analytics, and IoT applications. In this model, software performance is positioned as the independent variable, decision–making performance as the mediator, and business performance as the dependent variable. Data were collected from medium- and large–scale logistics firms and analyzed using regression and bootstrapping methods through SPSS and the PROCESS Macro. Results: The findings reveal that software performance significantly improves decision–making performance (β = 0.552, p < 0.01), which in turn has a strong positive effect on business performance (β = 0.817, p < 0.01). The mediation analysis confirms that decision–making performance mediates the effect of software performance on business outcomes. Conclusion: The results highlight the strategic importance of aligning digital capabilities with organizational decision processes. By demonstrating the mediating role of decision–making, the study highlights that the effective use of advanced analytical tools is crucial for optimizing performance and achieving a sustainable competitive advantage in logistics.
Keywords: software performance, decision–making performance, business performance, TMS systems, logistics industry, emerging economy
Published in DKUM: 14.11.2025; Views: 0; Downloads: 8
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6. Strongest drivers of trust in automotive supply chainsAletta S. Tolmay, Sumei van Antwerpen, Riaan Dirkse van Schalkwyk, 2025, original scientific article Abstract: The issue addressed in this paper concerns the erosion of trust within supply chains, as reported by key industry stakeholders. In this context, automotive component buyers frequently rely on single-source suppliers, thereby intensifying competitive pressures on component manufacturers. Consequently, automotive component suppliers must seek to strengthen supplier relationships to enhance trust. Given the limited opportunities for differentiation, automotive component suppliers increasingly pursue alternative strategies to ensure their long-term sustainability, with a particular emphasis on value-driven supplier relationships founded on trust. Existing literature suggests that optimised supplier relationships contribute to trust-building. This study employs a quantitative approach, utilising path analysis to identify the relationship value construct exhibiting the strongest correlation with trust. The findings indicate a significant correlation between product quality and delivery, suggesting that the timely and accurate delivery of products is the most critical factor in fostering trust between buyers and suppliers. Additionally, the analysis reveals that the most statistically significant aspect of relationship value is product quality and delivery. The paper concludes with theoretical and managerial recommendations, including the implementation of a relational governance strategy within automotive supply chains to strengthen trust and enhance long-term sustainability.
Keywords: supply chain relationships, buyer-seller relationships, South African automotive industry, relationship governance
Published in DKUM: 28.10.2025; Views: 0; Downloads: 3
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7. Role of hotel management crisis in Covid-19 and Post-Covid-19 period : a case study of Opatija riviera micro-region in CroatiaRomina Alkier Radnić, Vedran Milojica, Vasja Roblek, 2023, original scientific article Abstract: The paper includes an exploratory qualitative research study on the impact and consequences of Covid-19 on business and organisational changes in the hotel industry in the Opatija Riviera area, which will have a medium- and long-term impact on the design of resilience and sustainable growth policies. The disruption caused by the pandemic is also important for hotel managers and management from the point of view of introducing crisis management processes, the results of which can be seen in the protection of the well-being of guests, employees and the general reputation of hotels. Therefore, hotel management needs to emphasise the importance of identifying business strategies and practices in business strategies and thus form the basis for effective crisis management.
Keywords: business models, Covid-19, hotel industry, Opatija Riviera, strategies, risk management, tourism micro-region, Tržič, tržiški avtor
Published in DKUM: 25.09.2025; Views: 0; Downloads: 2
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8. Circular economy implementation in the electric and electronic equipment industryMargaret Zoka, Romana Korez-Vide, 2025, original scientific article Abstract: The circular economy (CE) encourages sustainability by shifting towards business models that prolong resource use. The quantity of waste generated by electric and electronic equipment (WEEE or e-waste) is rapidly rising and is one of the fastest-growing waste streams. Our paper explores the awareness, benefits, barriers, incentives, and implementation of CE in the electric and electronic equipment (EEE) industry in Slovenia and Croatia. In the theoretical section, we review the existing literature on CE, the EEE industry in both countries, and their policy frameworks for developing CE. Based on primary research through a survey and inferential statistical analysis in the empirical section, we investigate the implementation of CE in the EEE industry in both countries. This paper identifies which CE practices companies in the EEE industry implement, how company size affects CE implementation, how companies evaluate institutional support to CE, and their plans regarding CE. The results highlight some differences between the two countries. Drawing on the empirical findings, we determine key challenges and opportunities for increasing CE adoption in this sector and formulate some European suggestions for policymakers, industry practitioners, and researchers.
Keywords: sustainability, circular economy, electric and electronic equipment industry, e-waste
Published in DKUM: 01.09.2025; Views: 0; Downloads: 7
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9. Integrating simulation modelling for sustainable, human-centred Industry 5.0: ESG-based evaluation in collaborative workplacesRobert Ojsteršek, Aljaž Javernik, Borut Buchmeister, 2024, original scientific article Abstract: This research explores the role of simulation modelling in the development of human-centred, sustainable manufacturing processes in the context of Industry 5.0. We analyse collaborative workplaces where humans and collaborative robots (CR) work together, emphasizing the environmental, social, and governance (ESG) criteria. The research work focuses on how personalized CR parameters and optimized work environments contribute to improved productivity, well-being, and sustainability. Through simulations, the paper evaluates the operational efficiency of both manual assembly and human-robot collaborative (HRC) setups, providing insight into the economic, environmental, and social impacts of Industry 5.0 manufacturing systems. The results show significant improvements in sustainability, productivity, and worker well-being achieved through adaptive CR integration and ESG-driven engineering practices.
Keywords: human-centred manufacturing, simulation modelling, sustainability – ESG, industry 5.0, collaborative workplace, human-robot interaction, assembly process
Published in DKUM: 28.08.2025; Views: 0; Downloads: 3
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10. Reducing scrap in long rolled round steel bars using Genetic Programming after ultrasonic testingMiha Kovačič, Anže Zupanc, Uroš Župerl, Miran Brezočnik, 2024, original scientific article Abstract: At Štore Steel Ltd., continuously cast billets (180 mm × 180 mm) are reheated and rolled after cooling to room temperature. Hot-rolled bars are controlled as they cool to room temperature in specially designed cooling chambers, minimizing residual stresses and the development of pre-existing surface and internal defects. The bar ends can be additionally covered with insulating material. The cooled, rolled bars undergo examination using automated control lines to detect surface and internal defects, which primarily originate from the casting process. Internal defects are identified using ultrasonic testing. Between January 2022 and June 2023, 1550.0 tons of 61SiCr7 rolled bars, with diameters ranging from 53 mm to 72 mm and lengths from 7010 mm to 7955 mm, were examined using ultrasonic testing. The scrap was 109.6 tons (7.07 %). After collecting data on chemical composition (C, Si, Mn, Cr, Mo, Ni content), the casting process (casting temperature, cooling water pressure and flow in the first, second, and third zones of secondary cooling, as well as the temperature difference between input and output mould cooling water), and rolled bar geometry (diameter, length), scrap modelling after ultrasonic testing was carried using genetic programming. The genetic programming model suggested reducing the length of the rolled bar. Due to length multiplication, it was possible to reduce the rolled bar length from the initial lengths of 7010-7955 mm to the current lengths of 4558-6720 mm in June 2023. Based on this adjustment, a new production of rolled bars was established. By August 2024, 1251.9 tons of 61SiCr7 rolled bars were produced with the mentioned length adjustments. These rolled bars were subsequently examined using ultrasonic testing. The scrap was reduced by nearly 14 times, amounting to only 8.1 tons (0.64 %).
Keywords: steel industry, rolling, long bars, ultrasonic testing, scarp, defects, modelling, genetic programming
Published in DKUM: 27.08.2025; Views: 0; Downloads: 3
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