1. Exploring the role of perceived benefits and attitudes toward web in modelling online purchase intentions : a case of SloveniaMiha Marič, Gašper Jordan, Robert Leskovar, 2025, original scientific article Abstract: Background and Purpose: E-commerce has reshaped consumer behaviour by offering unparalleled convenience, variety and accessibility, while creating new opportunities for businesses to grow revenues. Despite its prominence, there remains a need for parsimonious models that explain online purchase intention in terms of core consumer perceptions. This study aims to develop and test a structural equation model (SEM) in which consumer perceived benefits and attitudes toward the web drive intention to purchase online. Methods: An online survey was administered to 190 Slovenian consumers. Questionnaire items were drawn from established scales measuring (a) perceived benefits of online shopping, (b) attitude toward the web, and (c) online purchase intention. Internal consistency was assessed via Cronbach’s alpha. SEM was then applied using IBM SPSS AMOS to evaluate both measurement and structural components of the model, testing hypotheses that perceived benefits influence both attitude and intention, and that attitude further mediates intention. Results: The survey instrument demonstrated excellent reliability (Cronbach’s α = 0.92). The three-construct SEM explained 74 % of the variance in online purchase intention. Fit indices indicated very good model performance (NFI = 0.969, NNFI = 0.970, CFI = 0.979, IFI = 0.979). All hypothesized paths were significant, confirming that higher perceived benefits enhance both positive web attitudes and purchase intentions, and that web attitudes further bolster intention. Conclusion: This streamlined SEM offers a robust and well-fitting explanation of consumer online purchase intentions. E-commerce platforms can leverage these insights by emphasizing the specific benefits consumers value and cultivating positive web experiences to drive sales. The model offers both practical guidance for online retailers and a foundation for future research, such as incorporating environmental consciousness, to refine our understanding of sustainable e-commerce adoption. Keywords: attitude toward web, perceived benefits, online purchase intention, SEM, consumer behaviour, e-commerce Published in DKUM: 14.11.2025; Views: 0; Downloads: 0
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2. Vpliv notranje faze na morfologijo polimernih materialov pri polimerizaciji emulzije : diplomsko delo visokošolskega strokovnega študijskega programa I. stopnjePolona Lekan, 2025, undergraduate thesis Abstract: Namen diplomskega dela je bil sintetizirati poli(metil metakrilat-ko-etilen glikol dimetakrilat) monolite, krajše poli(MMA-ko-EGDMA), s polimerizacijo emulzij z različnim deležem notranje faze (0–95 vol%). Delež notranje faze se je izkazal kot ključen parameter za nastanek por in morfologijo končnega polimera. Pri nizkih deležih so nastali kompaktni monoliti, pri srednjih deležih se je razvila celična struktura z redkimi povezovalnimi porami, pri visokih deležih pa odprta makroporozna mreža.
S pomočjo FT-IR spektroskopije in elementne analize smo potrdili uspešno vključitev monomerov MMA in EGDMA v polimerno mrežo. S SEM analizo smo potrdili prehod od kompaktne do spužvaste strukture, pri čemer se je v območju med 60 in 95 vol% notranje faze pokazalo izrazito povečevanje primarnih por ter postopno nastajanje in širjenje povezovalnih por, ob sočasnem tanjšanju sten porozne mreže. Meritve so potrdile, da povprečni premeri por in povezovalnih por naraščajo s povečevanjem deleža notranje faze. Premeri primarnih por so se v analiziranih vzorcih gibali od najmanjših 2,6 μm pri vzorcu PL-02 do največjih 44,2 μm pri PL-13, kar kaže na izrazito povečanje velikosti por. Povezovalne pore so bile zaznane šele od vzorca PL-08 dalje, pri čemer so se njihove vrednosti gibale od 0,7 μm (PL-08 in PL-10) do 10,3 μm (PL-13). Pri PL-09 so bile primarne pore enotne (≈5,5 μm), povezovalne pa majhne (1,2–1,8 μm). Tako primarne kot povezovalne pore so torej dosegle največje dimenzije v vzorcu PL-13 (95 vol% notranje faze).
Specifična površina, določena z BET metodo, je prav tako naraščala z večanjem poroznosti in dosegla največjo vrednost 5,42 m²/g pri 80 vol% notranje faze. Rezultati tako jasno potrjujejo povezavo med deležem notranje faze, morfologijo in specifično površino polimernih materialov. Keywords: HIPE, poliHIPE, poli(MMA-ko-EGDMA), delež notranje faze, poroznost, FT-IR spektroskopija, SEM, BET analiza. Published in DKUM: 07.10.2025; Views: 0; Downloads: 4
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3. Analiza prašnih delcev na površini maha : magistrsko deloRobert Baš, 2025, master's thesis Abstract: Namen raziskave je bil analizirati število trdnih delcev, akumuliranih na mahu. Preučevali smo delce treh velikostnih razredov: 10 μm, 2,5 μm in 1 μm. V odvisnosti od velikosti delcev smo ovrednotili korelacijo s koncentracijo težkih kovin ter preučili prostorsko odvisnost števila delcev glede na oddaljenost od cestnega omrežja.
Vzorčenje mahu smo izvedli po uveljavljenem protokolu iz literature. V laboratoriju smo vzorce najprej posušili, nato pa analizirali število delcev na 100 μm² površine lističev mahu z uporabo vrstičnega elektronskega mikroskopa (SEM). Analiza je temeljila na seriji posnetkov površine lističev, iz katerih smo na podlagi večkratnih meritev izračunali povprečne vrednosti ter ločeno obravnavali posamezne velikostne razrede delcev.
Poleg tega smo v okviru eksperimentalnega dela izvedli analizo vsebnosti težkih kovin z metodo induktivno sklopljene plazme z masno spektrometrijo (ICP-MS). Zaradi morfoloških značilnosti lokacije vzorčenja pričakovani rezultati niso bili doseženi. Kljub temu smo izvedli korelacijsko analizo med koncentracijami težkih kovin in številom trdnih delcev, ki je pokazala zelo šibko povezavo, ne glede na velikost delcev. Prav tako je bila šibka tudi korelacija med številom delcev in oddaljenostjo od ceste. Keywords: težke kovine, PM delci, mikroplastika, ICP-MS, SEM Published in DKUM: 29.09.2025; Views: 0; Downloads: 14
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4. Can corporate social responsibility contribute to bankruptcy prediction? : evidence from CroatiaAdriana Galant, Robert Zenzerović, 2023, original scientific article Abstract: Background/Purpose: Companies are becoming aware of the fact that corporate social responsibility (CSR) is becoming the imperative of their sustainable business model despite the potential costs it could generate. Researchers are mostly focused on estimating the relationship between CSR and financial performance where most of the findings indicate their positive relationship. This paper expands existing research and focuses on the relationship between CSR and the risk of bankruptcy using the data from 102 midsize and large companies from non-financial sectors using the data for four years. Research expands existing studies on the EU level according to the fact that most of the existing studies are performed among US companies. Method: Descriptive statistics and SEM-PLS methodology was used to compare and analyze financial data with data collected from 7 groups of stakeholders. Results: Research results indicate that the relation between CSR and the risk of bankruptcy is negative. Conclusion: Becoming a socially responsible company is in the best interest of all stakeholders because CSR activities contribute to financial stability and maintenance of going concern assumption. Keywords: corporate social responsibility, bankruptcy prediction, Altman Z’ score, SEM-PLS methodology Published in DKUM: 26.09.2025; Views: 0; Downloads: 2
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5. Systematic risk management practices and improved risk culture in Slovenian non-financial corporations : a SEM ApproachTimotej Jagrič, Maja Rožman, Vita Jagrič, 2025, original scientific article Abstract: There is limited empirical evidence on how the risk management process is implemented in non-financial corporations, resulting in an incomplete understanding—particularly in post-transitional economies such as Slovenia. Using Structural Equation Modeling on data collected from Slovenian non-financial corporations in 2023, we find that a well-structured risk management process positively influences the adoption of advanced risk management methods and practices. This, in turn, significantly reduces challenges associated with risk management, enhances its overall effectiveness, and directly contributes to corporate value creation. These findings highlight the strategic importance of risk management as an essential component of organizational governance. Keywords: risk management, risk culture, risk metrics, corporate value, structural equation modeling (SEM) approach, Slovenia Published in DKUM: 03.09.2025; Views: 0; Downloads: 10
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6. Perception of document management systems in digital transformation : VIII.Sandra Jordan, Samo Bobek, Simona Sternad Zabukovšek, 2025, independent scientific component part or a chapter in a monograph Abstract: Document Management Systems (DMS) are essential tools for managing organisational information throughout its lifecycle. Despite increasing adoption, many DMS implementations fail to deliver the expected value due to inadequate attention to Critical Success Factors (CSFs). This monograph investigates the impact of selected CSFs—such as top management support, process orientation, and organisational culture—on different phases of the DMS lifecycle: selection, implementation, and usage. Drawing on the ITIL framework and lifecycle-based thinking, the study employs a quantitative methodology using PLS-SEM on data collected from Slovenian organisations. The results show that CSFs vary in importance across lifecycle stages, highlighting the need for dynamic, phase-specific implementation strategies. The findings contribute to theory by integrating CSFs with DMS lifecycle management and provide actionable insights for practitioners seeking to optimise DMS adoption and performance. Keywords: document management systems (DMS), critical success factors (CSFs), information systems lifecycle, ITIL, system implementation, PLS-SEM, organisational change Published in DKUM: 29.08.2025; Views: 0; Downloads: 7
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7. Aligning business solutions and business requirements for digital transformation – case research : V.Uroš Zabukovšek, Simona Sternad Zabukovšek, Samo Bobek, 2025, independent scientific component part or a chapter in a monograph Abstract: This study explores how Business and IT Alignment (BITA) influences business performance (PERFO) and corporate sustainability (SPACS) using a mixed-methods case study of an international manufacturing enterprise. The quantitative analysis (PLS-SEM) indicated BITA affects PERFO indirectly through IT service quality (ITSQ), while remote work (EWORK), despite its relation to BITA, showed no significant impact. BITA strongly predicted SPACS by enhancing employees’ sustainability knowledge, confidence, and willingness to act. Qualitative findings from semi-structured interviews revealed a BITA maturity of 3.3 (on a 5-point scale), highlighting its role in sustainability via better decision-making, process optimization, and IT-enabled transparency. Notable discrepancies between managerial and employee perceptions of BITA maturity were identified. Results suggest successful BITA fosters sustainability-oriented behaviour and IT-driven performance improvements, though continuous reinforcement within organizations is required. The study emphasizes the value of integrating qualitative and quantitative methods for comprehensive insights into BITA's impact. Keywords: business and IT alignment (BITA), IT service quality (ITSQ), business performance (PERFO), corporate sustainability (SPACS), remote work (EWORK), mixed methods research (MMR), PLS-SEM, organizational maturity, sustainability awareness, case study Published in DKUM: 29.08.2025; Views: 0; Downloads: 6
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8. The impact of students’ cybersecurity vulnerability behavior on e-learning obstaclesIbrahim Mohamed Taha, Rajaa Hussein Abd Ali, Ali Abdulhassan Abbas, 2025, original scientific article Abstract: Background/purpose: This study examines the relationship between students’ cybersecurity vulnerability behavior and e-learning obstacles. With the rapid growth of online education, ensuring the security and privacy of digital
platforms has become crucial. In this background, the current study is a first-of-its-kind attempt to understand the
relationship between these two variables in the background of higher educational institutions in Iraq.
Methods: For this study, the researchers collected data during 2023 from students aged between 19 and 25 enrolled
in the University of Karbala, Iraq, using a semi-structured research questionnaire, who were selected through a random sampling method. The questionnaire comprised questions pertaining to the dimensions of both the dependent
and the independent variable. A total of 350 valid responses were considered for the analysis in which PLS-SEM
was conducted.
Results: The outcomes revealed that the professional and human obstacles have a high association with cybersecurity vulnerability behavior. The study also found that the overall obstacles have a significant effect on the cybersecurity vulnerability behavior. All hypotheses were verified and the outcomes confirm that there is an effective
relationship between cybersecurity vulnerability behavior and e-learning obstacles Conclusion: Based on the study outcomes, the authors proposed a few recommendations for all the stakeholders of the e-learning process, such as ducational institutions, governments, faculty members, students, and their parents. Though the current study has been confined to a single university in Iraq, future researchers can focus on expanding the study to other higher educational institutions so that a nationwide policy-level initiative can be brought based on the research evidence. Keywords: cybersecurity vulnerability behavior, e-learning obstacles, higher education, PLS-SEM, student motivation, learning behaviour Published in DKUM: 06.08.2025; Views: 0; Downloads: 2
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9. Enhancing sustainability of e-learning with adoption of m-learning in business studiesSilvia Parusheva, Irena Šišovska Klančnik, Samo Bobek, Simona Sternad Zabukovšek, 2025, original scientific article Abstract: The rapid development of information technologies has significantly transformed education, making digital tools and e-learning platforms essential for modern learning processes. This research study examines mobile learning (m-learning) adoption among higher education students, emphasising the importance of user acceptance for implementing mobile technologies in education. Using a research model based on the UTAUT framework and analysed via PLS–SEM, the research study investigates business students’ behavioural intention to adopt m-learning platforms (in our case, Microsoft Teams), offering valuable insights into their efficacy and long-term viability, explicitly focusing on the use of mobile devices and the mobile version of the Microsoft Teams application for educational purposes. The study’s findings indicate that all four examined factors significantly influence students’ behavioural intention to adopt m-learning applications, with “performance expectancy” having the most substantial impact. The survey highlights the sustained importance of m-learning even after the pandemic. These results reinforce that students’ expectations of improved performance play a crucial role in adopting mobile apps for m-learning. The findings also suggest that increasing adoption rates requires improving system usability, minimising reliance on external support through intuitive design and training, and leveraging peer influence to enhance engagement in m-learning environments. Keywords: e-learning platforms, m-learning platforms, MS Teams, UTAUT, adoption, PLS–SEM, multigroup analysis Published in DKUM: 09.07.2025; Views: 0; Downloads: 4
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10. Spatiotemporal analysis and physicochemical profiling of ▫$PM_10$▫ and ▫$PM_2.5$ ▫ in SloveniaMaja Ivanovski, Ivan Anžel, Darko Goričanec, Danijela Urbancl, 2025, original scientific article Abstract: Particulate matter (PM10 and PM2.5) is a key contributor to urban air pollution and poses significant health risks, particularly in densely populated areas. While conventional air quality monitoring focuses on particle size and concentration, this study emphasizes the importance of understanding chemical composition and emission sources for effective air pollution management. PM samples were collected between 2019 and 2022 at two locations in the Republic of Slovenia: a traffic-dominated urban site and an industrial area. Annual average PM10 concentrations ranged from 14 to 34 μg/m3, and those of PM2.5 ranged from 9 to 22 μg/m3. In addition to decreasing annual concentrations, a notable reduction in exceedance days was observed between 2019 and 2022, indicating the effectiveness of recent air quality improvement measures. Meteorological data and statistical models were used to assess environmental influences on PM variability. Advanced SEM-EDS analysis revealed substantial seasonal and spatial differences in particle composition, with key elements such as silicon (4.3–28.4%), carbon (13.1–61.7%), and trace amounts of lead and zinc varying across sites and particle types. Mineral dust (Si, Al, Ca, Fe, Mg), originating from soil resuspension, construction, and Saharan dust, was dominant. Combustion-related particles containing C, Pb, Zn, and Fe oxides were associated with vehicle emissions, industrial processes, and biomass burning. Secondary aerosols, such as sulphates and nitrates, showed seasonal trends, with higher concentrations in summer and winter, respectively. The results confirm that PM levels are driven by complex interactions between local emissions, weather conditions, and seasonal dynamics. The study supports targeted policy measures, particularly regarding residential heating and traffic emissions, to improve air quality. Keywords: air pollution, air quality, PM particles, SEM-EDS, Slovenia Published in DKUM: 30.05.2025; Views: 0; Downloads: 5
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