Technical Faculty in Bor
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Recent Submissions
An ADAM-based approach to unveiling entrepreneurial ecosystems in selected European countries
(Emerald, 2025) Popović, Gabrijela; Fedajev, Aleksandra; Mitić, Petar; Meidutė-Kavaliauskienė, Ieva
Purpose
This study aims to integrate the resource-based view (RBV) with other theories that consider external factors necessary to respond successfully to dynamic and uncertain entrepreneurial business conditions.
Design/methodology/approach
The paper introduces an multi-criteria decision-making (MCDM) approach, utilizing the axial-distance-based aggregated measurement (ADAM) method with weights determined by the preference selection index (PSI) method, to rank eight European countries based on the Global Entrepreneurship Monitor (GEM) data. Additionally, the paper extends the existing entrepreneurial ecosystem taxonomy (EET), offering an additional classification.
Findings
The performed analysis emphasizes the importance and necessity of involving different dimensions of EE in assessing the countries' entrepreneurship performance, which facilitates creating adequate policy measures.
Research limitations/implications
The crucial limitations are assessments based only on the GEM data from a particular period, possibly leading to a certain bias. Future research should involve data from various resources to increase the results' reliability.
Originality/value
The ranking results and country classification obtained using the ADAM-based approach and two distinct taxonomies served as the basis for formulating tailored policy recommendations, aiming to formulate tailored policy implications for increasing the number of new entrepreneurs and improving innovativeness, sustainability and internationalization of existing entrepreneurs for each group of countries.
Neuro-fuzzy prediction model of occupational injuries in mining
(Taylor & Francis, 2024) Ivaz, Jelena; Petrović, Dejan; Stojadinović, Saša; Stojković, Pavle; Petrović, Sanja; Zlatanović, Dragan
Objectives. This study investigates the possibility of developing a unique model for predicting work-related injuries in Serbian underground coal mines using neural networks and fuzzy logic theory. Accidents are common due to the unique nature of underground mineral extraction involving people, machinery and limited workplaces. Methods. A universal model for predicting occupational accidents takes into account influential factors such as organizational aspects, personal and collective protective equipment, on-the-job training and leadership factors. The selected networks achieved a prediction accuracy of >90%. Results. The study successfully identifies potential risks and critical worker groups leading to injuries. The sensitivity analysis provides insights for targeted safety measures and improved organizational practices. Conclusion. This data-driven approach makes a valuable contribution to safety in the mining industry. Implementation of the predictive model can reduce injuries and machine damage, and improve worker well-being.
Western Balkan countries’ innovation as determinant of their future growth and development
(Taylor & Francis, 2024) Fedajev, Aleksandra; Panić, Marija; Živković, Živan
The Western Balkan (WB) countries (Albania, Bosnia & Herzegovina, Kosovo, Montenegro, North Macedonia, and Serbia) have been trying to become members of the EU for a long time, but they are increasingly moving away from the EU average in terms of development level. The question is whether these countries will be able to catch up with the EU countries in the near future and how they will do it. The reason for such results should be searched into insufficient innovation in these countries. This research aims to perform a comparative analysis of the capabilities and efficiency of the National Innovation System (NIS) in WB and CEE countries using the entropy-based PROMETHEE method for ranking. The rankings are performed using the two most reputable 2022 reports in this area: Global Innovation Index (GII) and European Innovation Scoreboard (EIS). For summarizing the results, the Borda rule is applied. The ranking results for both NIS capabilities and NIS efficiency indicate that WB countries are at the bottom of the rankings, having considerable disadvantages compared to CEE countries. Certain recommendations and guidelines for policymakers in these countries for improving innovation in the future have been defined according to practices from identified benchmarking countries.
Exploring the Nexus of Distance Learning Satisfaction: Perspectives from Accounting Students in Serbian Public Universities During the Pandemic
(Springer Nature, 2025) Fedajev, Aleksandra; Jovanović, Dejan; Janković-Perić, Marina; Radulescu, Magdalena
Amid the COVID-19 pandemic, teachers globally transitioned to distance learning, presenting significant challenges, particularly in developing countries. In that sense, the study investigates the usefulness and satisfaction (US) of distance learning (DL) among accounting students in Serbian public universities during the COVID-19 pandemic. The research focuses on three key factors affecting perceived US derived from existing literature, including teaching process quality (TPQ), technical qualities of distance learning platforms (TQ), and compatibility with social and pandemic conditions (CSPC). The developed theoretical model is predominantly based on the user satisfaction model. Data from 373 surveyed students, gathered through a validated questionnaire, underwent analysis using the partial least squares structural equation model (PLS-SEM). Results reveal that CSPC and TPQ significantly impact the US, whereas TQ has a minor and statistically insignificant effect. The R2 value indicates these three constructs explain a significant portion of the variance for the US, with moderate effects of CSPC and TPQ and a small effect of TQ, indicated by f2 values. Moreover, the model is found to be significantly predictive, according to the Q2 value. Besides theoretical implications, the study suggests important practical implications for university management, emphasizing regular student surveys, continuous improvement of DL systems, and effective and continuous teacher training as the vital measures for enhancing teaching quality. Improving TPQ and TQ also impacts the Serbian economy by fostering workforce development, enhancing digital transformation, stimulating telecommunication industry growth, driving digital information sector development, attracting investment and innovation, boosting global competitiveness, and promoting lifelong learning.
Star partial order in indefinite inner product spaces
(Taylor & Francis, 2022) Stanišev, Ivana
We define the star partial order for matrices in spaces with an indefinite inner product. We also give a characterization of that order in terms of matrices and their Moore-Penrose inverses. Finally, some interesting properties are shown.