Dejan Viduka

Journal of Business Economics and Management

Multi-criteria Decision Analysis of E-commerce Software Selection Using AHP-NWA Hybrid Model

Rakić R., Gligorijević M., Viduka D., Gligorijević N., Strugarević D.

https://journals.vilniustech.lt/index.php/JBEM/article/view/25406

In the digital economy, selecting the right e-commerce platform is a strategic decision with significant implications for efficiency and competitiveness. This paper applies a hybrid decision-making framework that integrates the Analytic Hierarchy Process (AHP) and Net Worth Analysis (NWA) to evaluate five popular e-commerce platforms: Magento, WooCommerce, Shopify, PrestaShop, and OpenCart. AHP was used to derive weights for evaluation criteria, while NWA incorporated expert assessments of alternatives. Results indicate that security (32%) and functionality (25%) are the most critical factors, followed by maintenance costs (14%) and scalability (11%). The ranking shows Magento as the leading platform (0.575), excelling in security and functionality, while WooCommerce (0.567) is highly flexible and Shopify (0.563) stable though less customizable. PrestaShop (0.505) and OpenCart (0.496) scored lower, making them suitable for smaller businesses. The contribution of this study lies in the integration of AHP-derived weights into the NWA framework under a dual expert panel structure, ensuring methodological independence and reducing bias. This hybrid approach offers both practical implications for digital business strategy and theoretical insights into combining hierarchical and network-based MCDM methods, thereby addressing a research gap in e-commerce software evaluation.

e-commerce, multi-criteria decision-making, AHP, NWA, software platforms, Magento, WooCommerce, Shopify

M21 – Rad u vodećem međunarodnom časopisu kategorije

Healthcare

Pain and Disability Therapy with Stabilization Exercises in Patients with Chronic Low Back Pain: A Meta-Analysis

Dimitrijević V., Rašković B., Jevtić N., Nikolić S., Viduka D., Obradović B.

https://www.mdpi.com/2227-9032/13/9/960

Background: Chronic low back pain is a leading cause of disability worldwide, necessitating effective interventions to alleviate pain and improve function. This meta-analysis aimed to evaluate the effectiveness of stabilization exercises for pain relief and disability reduction in patients with chronic low back pain. Methods: A meta-analysis was conducted following PRISMA and Cochrane guidelines. Randomized controlled trials evaluating stabilization exercises for chronic low back pain were included. Subgroup analyses were performed based on treatment duration, type of pain (specific vs. non-specific), study quality, and exercise type. Effect sizes were calculated using standardized mean differences (SMD), and evidence quality was assessed using the GRADE tool. Results: A total of 23 studies involving 1132 participants were included. The meta-analysis revealed that longer treatment durations (8–12 weeks) showed the strongest effects on pain reduction (SMD = −0.88) and disability improvement (SMD = −0.85). For pain type, non-specific low back pain responded better (SMD = −0.81 for pain, −0.73 for disability) compared to specific LBP (SMD = −0.61 and −0.42, respectively). The 6-week duration also demonstrated moderate effects (SMD = −0.72 for pain). Core stability exercises had superior pain reduction (SMD = −0.90, large effect) compared to spinal stability exercises (SMD = −0.57), while spinal stability exercises showed higher-quality evidence for disability improvement (SMD = −0.56, high-quality) versus core stability (SMD = −0.62, low-quality). Conclusion: Stabilization exercises are a highly effective intervention for chronic low back pain, offering significant pain relief and functional improvement. They outperform other common interventions and should be prioritized in clinical practice, particularly in longer-duration, supervised programs. These findings provide strong evidence to guide treatment protocols and improve outcomes for patients with chronic low back pain.

low back pain; back pain; conservative treatment; exercise therapy

M21 – Rad u vodećem međunarodnom časopisu kategorije

Healthcare

Treatment of Adolescent Idiopathic Scoliosis with the Conservative Schroth Method: A Randomized Controlled Trial

Dimitrijević V., Rašković B., Popović M.P., Viduka D., Nikolić S., Jevtić N., Pjanić S., Obradović B.

https://www.mdpi.com/2227-9032/13/6/688

Objective: The objective of this study was to determine the effectiveness of the conservative Schroth method in patients with adolescent idiopathic scoliosis. Methods: A total of 34 respondents, 24 male and 10 female, aged between 11 and 16 years, participated in the research. The study was a single-blind randomized trial, in which subjects were divided into control and experimental groups by stratified randomization according to the stratum of the Cobb angle. The control group performed the Schroth method at home without the supervision of Schroth therapists, while the experimental group performed the Schroth method under the supervision of Schroth therapists three times a week for 90 min over eight weeks. Initial and final outcome measurements were performed: Cobb angle, angle of trunk rotation, vital capacity, forced vital capacity, forced expiratory volume in the first second, the percentage of forced expiratory volume in the first second in forced vital capacity, and chest expansion. Results: There was a statistically significant improvement in all measured outcomes in the experimental group, while no statistically significant changes were recorded in the control group. The Cobb angle decreased by 2.12°, while ATR decreased by 2.88°; VC increased by 0.15 L, FVC by 0.13 L, FEV1 by 0.1 L, and CE increased by 0.78 cm. Conclusions: The application of an eight-week therapy program using Schroth method by subjects with adolescent idiopathic scoliosis had statistically significant changes in all measured outcomes in the group that was supervised by Schroth’s therapists, while there was no statistically significant improvement in the group that applied therapy at home without supervision.

Schroth method; adolescent idiopathic scoliosis; Cobb angle; randomized controlled trial

M21 – Rad u vodećem međunarodnom časopisu kategorije

Sustainability

Sustainable Decision-Making in Higher Education: An AHP-NWA Framework for Evaluating Learning Management Systems

Veljić A., Viduka D., Ilić L., Karabasevic D., Šijan A., Papić M.

https://www.mdpi.com/2071-1050/17/22/10130

This paper applies a hybrid multi-criteria decision-making (MCDM) model that integrates the Analytic Hierarchy Process (AHP) for structured weighting of evaluation criteria with the Net Worth Analysis (NWA) method for value-based aggregation of scores. The proposed framework was employed to evaluate Learning Management Systems (LMS) in higher education, involving two independent expert panels representing management and IT perspectives. Results of the AHP analysis show that cost (28%), security (22%), and usability (17%) are the most influential criteria in the decision-making process, reflecting institutional priorities for financial efficiency, safety and ease of use. Based on the combined AHP-NWA model, Moodle 4.3 emerged as the most sustainable choice (0.586), followed by Atutor 2.2.1 (0.541) and Blackboard (SaaS edition) (0.490). The inclusion of sensitivity and scenario analyses confirmed the robustness of the model, demonstrating that the ranking of alternatives remains stable under variations in weighting factors and different strategic priorities. By framing LMS evaluation within the context of sustainable digital transformation, the study emphasizes how transparent and systematic decision-making supports long-term institutional resilience and aligns with the principles of Education for Sustainable Development (ESD). In addition, the framework contributes to the achievement of Sustainable Development Goal 4 (Quality Education), by guiding higher education institutions toward inclusive, resilient and cost-effective digital solutions.

Learning Management Systems (LMS); AHP; NWA; higher education; sustainability in higher education; Education for Sustainable Development (ESD)

M22 – Rad u međunarodnom časopisu

Electronics

An Intelligent Multi-Criteria Decision Approach for Selecting the Optimal Operating System for Educational Environments

Marinović M., Viduka D., Lavrnić I., Stojčetović B., Skulić A., Bašić A., Balaban P., Rastovac D.

https://www.mdpi.com/2079-9292/14/3/514

The selection of an appropriate operating system (OS) in educational environments is a critical decision that impacts the functionality, user experience, and overall efficiency. Financial factors, along with the availability and functionality of tools used on these systems, play a crucial role in this selection. Furthermore, the OS affects the user experience, security, and adaptability to learning. Previous research in this area is scarce, and this paper contributes to a better understanding of the OS selection process in education. This paper proposes a novel multi-criteria decision-making approach to evaluate and select the most suitable OS for educational institutions. The methodology integrates the PIPRECIA method for assessing weighted criteria, alongside utility analysis (NWA), enabling a balanced decision-making process between institutional management and IT experts. The evaluation considered the following criteria: performance, cost, security, usability, implementation, support, and documentation. The study compared three popular operating systems: Microsoft Windows 11, GNU Linux Ubuntu 22.04 LTS, and Apple macOS 12 using the proposed approach. The results, based on the integrated evaluation of all criteria, indicate that GNU Linux Ubuntu 22.04 LTS (0.562) ranked highest, followed by Microsoft Windows 11 (0.553) and Apple macOS 12 (0.543). This paper emphasizes the importance of objective, group-based decision-making in selecting an OS for education, providing practical insights and guidelines for effective technology integration in academic settings.

education; multi-criteria decision making; net worth analysis; operating system; PIPRECIA method

M22 – Rad u međunarodnom časopisu

International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)

A Hybrid SWARA-NWA Framework for Evaluating AI-Based Image Recognition Algorithms in Educational Technology Applications

Gligorijević N., Viduka D., Đukić-Popović S., Nikolić V., Popović S.

https://ijcrsee.com/index.php/ijcrsee/article/view/3377

Artificial Intelligence (AI) and computer vision technologies are increasingly integrated into educational environments through intelligent tutoring systems, gesture-based learning, facial expression analysis, and automated evaluation tools. However, selecting the most appropriate image recognition algorithms for educational applications remains a challenge due to varying requirements regarding speed, accuracy, hardware compatibility, and usability in dynamic classroom conditions. This paper proposes a hybrid multi-criteria decision-making (MCDM) model based on the Step-wise Weight Assessment Ratio Analysis (SWARA) and Net Worth Analysis (NWA) methods to evaluate and rank nine widely used AI-based visual recognition algorithms. The evaluation is conducted using five education-relevant criteria: processing speed, recognition accuracy, robustness to classroom noise, compatibility with low-end devices, and energy efficiency. Expert assessments from the field of educational technology were used to derive weight coefficients and evaluate algorithm performance. The results show that Fast R-CNN achieved the highest overall score (1.141), followed by U-Net (1.077) and DeepLab (1.062), indicating their suitability for real-time and resource-constrained EdTech environments. Algorithms such as MobileNet (1.057) and YOLO (1.037) also demonstrated balanced performance, making them viable for mobile or moderately demanding educational scenarios. The proposed model offers a structured and transparent decision-support framework that can assist researchers and practitioners in selecting optimal AI algorithms for diverse educational applications.

SWARA, NWA, artificial intelligence, image recognition, educational technology

M22 – Rad u međunarodnom časopisu

Electronics

Optimization of Artificial Intelligence Algorithm Selection: PIPRECIA-S Model and Multi-Criteria Analysis

Popović S., Viduka D., Bašić A., Dimić V., Djukic D., Nikolić V., Stokić A.

https://www.mdpi.com/2079-9292/14/3/562

In the age of digitization and the ever-present use of artificial intelligence (AI), it is essential to develop methodologies that enable the systematic evaluation and ranking of different AI algorithms. This paper investigated the application of the PIPRECIA-S model as a methodological framework for the multi-criteria ranking of AI algorithms. Analyzing relevant criteria such as efficiency, flexibility, ease of implementation, stability and scalability, the paper provided a comprehensive overview of existing algorithms and identified their strengths and weaknesses. The research results showed that the PIPRECIA-S model enabled a structured and objective assessment, which facilitated decision-making in selecting the most suitable algorithms for specific applications. This approach not only advances the understanding of AI algorithms but also contributes to the development of strategies for their implementation in various industries.

PIPRECIA-S model; artificial intelligence; multi-criteria analysis; algorithm ranking; strategic planning

M22 – Rad u međunarodnom časopisu

Sinteza 2025

Multi-Criteria Decision – Making in the Evaluation of Software Testing Methods

Bašić A., Viduka D.

https://portal.sinteza.singidunum.ac.rs/paper/1030

Development of software requires reliable and effective testing methods to ensure its functionality and quality. This research was conducted with the aim of identifying the most suitable testing method for different software development scenarios, considering key evaluation criteria. The paper analyzes and ranks four software testing methods – Black-Box Testing, White-Box Testing, Automated Testing and Agile Testing – using the PIPRECIA-S method. The analysis was conducted based on five key criteria: efficiency, testing coverage, ease of implementation, cost of implementation and reliability of results. The results showed that Automated Testing is the most effective method with the highest overall score, while Black-Box Testing ranks last due to limited reliability and effectiveness. Agile and White-Box testing proved to be moderately balanced methods, with different advantages depending on the specific requirements of the project. This paper provides an insight into the advantages and limitations of each method, as well as guidelines for their selection in real projects, contributing to a better understanding of the optimization of the software testing process.

Software Testing, Testing Methods, PIPRECIA-S Method, Quality Assurance, Decision-making

M33 – Saopštenje sa međunarodnog skupa štampano u celini

International Scientific Conference – ALFATECH, Belgrade

Testing IoT Devices and Systems in Smart Cities: Challenges and Solutions

Milović N., Viduka D.

https://conference.alfatech.rs/proceedings/

Smart cities rely on complex IoT systems to enhance urban services, yet testing these large-scale, heterogeneous, and security-critical deployments poses unique challenges. This paper identifies key issues—scalability, interoperability, security, and resource constraints—and reviews state-of-the-art solutions, including simulation frameworks, standardization efforts, automated testing, and AI-driven approaches, providing actionable insights for robust, reliable IoT testing in smart cities.

Interoperability, IoT testing, Scalability, Security, Smart cities

M45 – Poglavlje u monografiji / tematski zbornik nacionalnog značaja

International Scientific Conference – ALFATECH, Belgrade

Development of Educational Information Systems in Smart Cities with the Application of Artificial Intelligence

Bašić A., Viduka D., Vukić A.

https://conference.alfatech.rs/proceedings/

The development of educational information systems in the context of the fourth industrial revolution and smart cities is transforming traditional approaches to education through the integration of artificial intelligence (AI), IoT and cloud computing. These advanced systems enable personalization of learning, automation of knowledge assessment and efficient management of resources, thus supporting the principles of Education 4.0. The focus is on adaptive technologies that meet the individual needs of students, improve the quality of teaching and increase user engagement. This paper analyzes the key technologies, methods and tools which are enabling the application of AI in education, identifying challenges such as privacy protection, ethical dilemmas, the digital divide and the integration of new technologies into existing educational practices. Special attention is given to the application of AI in the personalization of learning, the automation of knowledge assessment and the optimization of resource management in educational institutions. The results of the analysis highlight the significant potential of these systems for improving the educational experience, while proposing a strategic framework for their implementation in smart cities.

artificial intelligence; educational information systems; IoT; personalization of learning; resource management; smart cities

M45 – Poglavlje u monografiji / tematski zbornik nacionalnog značaja

Journal of Process Management and New Technologies

The impact of website design on customer satisfaction and purchase intention

Tomić T., Lavrnić I., Viduka D.

https://scindeks.ceon.rs/Article.aspx?artid=2334-735X2501001T

As e-commerce continues to grow, businesses are realizing the significance of having a strong online presence through well-designed websites. This study aims to establish a comprehensive understanding of the key factors that contribute to website quality and their importance from the consumer's perspective. The main objectives of this research are to identify and prioritize these factors. To achieve this, a questionnaire was distributed among a younger demographic, and participants were asked to rate the importance of 11 parameters related to website quality. The data collected from the survey were analyzed using various statistical tests, including descriptive statistics, Chi-square independence test, and factor analysis. These tests were employed to rank the parameters, examine the influence of gender on respondents' answers, identify areas of disagreement among participants, and determine if certain parameters could be grouped together. The quality of a web page is greatly influenced by various features, including its layout, visual complexity, colorfulness, user-friendliness, speed of processing visitor requests, and reliability. To analyze these features, a feature vector was created. Conducted as exploratory descriptive research, this study utilized a survey to gather data from 117 participants across different social networks. The research encompasses both qualitative and quantitative stages. The qualitative phase aims to identify variables that impact consumer engagement in social commerce, while the quantitative phase involves data collection, validation, and analysis.

Website, quality of e-service, user experience, e-commerce

M52 – Rad u nacionalnom časopisu

Fakultet za primenjeni menadžment, ekonomiju i finansije, Beograd

kEDIS – informacioni sistem za visokoškolske ustanove

Ilić L., Šijan A., Viduka D.

https://enauka.gov.rs/handle/123456789/949637

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M81 – Novo tehničko rešenje primenjeno na međunarodnom nivou

Frontiers in Sports and Active Living

Treatment of idiopathic scoliosis with conservative methods based on exercises: a systematic review and meta-analysis

Dimitrijević V., Rašković B., Popović M., Viduka D., Nikolić S., Drid P., Obradović B.

https://www.frontiersin.org/journals/sports-and-active-living/articles/10.3389/fspor.2024.1492241/full

Introduction: This systematic review and meta-analysis aimed to systematically assess the effect size of conservative methods based on exercise for respondents with idiopathic scoliosis. Methods: This study was developed in accordance with the PRISMA guidelines. The PubMed, Cochrane Library, Web of Science, and Google Scholar databases were searched in May 2023. The key search terms were “Idiopathic scoliosis”, “Adolescent idiopathic scoliosis”, “Cobb angle”, “Angle of trunk rotation”, “Quality of life”, “Schroth method”, and “Core stabilization exercises”. Risk of bias was assessed for each randomized trial using the Cochrane risk of bias tool, and the methodological index for non-randomized studies. The outcomes included Cobb angle, angle of trunk rotation (ATR), forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), and quality of life (QoL). R 4.0.5 software was used, and standardized mean differences (SMD) and 95% confidence intervals (CIs) were calculated for continuous outcomes using a random model. Results: In total, 23 studies were included. Depending on the outcome measured, the effect size of the different methods in the treatment of idiopathic scoliosis ranged from small to large as follows: Cobb angle (SMD = −0.43, p < 0.0001), ATR (SMD = −0.25, p = 0.06), FVC (SMD = 0.48, p = 0.03), FEV1 (SMD = 0.51, p = 0.004), and QoL (SMD = 0.95, p < 0.0001). Conclusion: Our meta-analysis indicates the positive effects of applying conservative methods based on therapeutic exercises on patients with idiopathic scoliosis.

scoliosis, exercise therapy, systematic review, meta-analysis

M21 – Rad u vodećem međunarodnom časopisu kategorije

Buildings

Multi-Criteria Decision Analysis of Wireless Technologies in WPANs for IoT-Enabled Smart Buildings in Tourism

Bašić A., Viduka D., Kraguljac V., Lavrnić I., Jevremović M., Balaban P., Sajfert D., Gligorijević M., Barzut S.

https://www.mdpi.com/2075-5309/14/10/3275

The increasing demand for energy-efficient and interconnected smart buildings, particularly in the tourism sector, has driven the adoption of advanced wireless technologies. IoT technologies are crucial in this evolution, improving modern buildings’ functionality and operational efficiency. This study investigates the utilization of various wireless technologies within Wireless Personal Area Networks (WPANs), including Bluetooth BLE 4.2, Bluetooth BLE 5.0, ZigBee, and Z-Wave, in smart buildings. A multiple-criteria decision-making (MCDM) approach, specifically the PIPRECIA-S model, was applied to evaluate these technologies based on criteria such as device connectivity, mobility, low energy consumption, scalability, flexibility, and interoperability. Simulations using the PIPRECIA-S model were conducted to assess technology performance across various real-world scenarios. The results indicate that ZigBee (0.2942) and Bluetooth BLE 5.0 (0.2602) provide superior performance in terms of energy efficiency and scalability, followed by Z-Wave (0.2550) and Bluetooth BLE 4.2 (0.1906). These findings provide decision-makers with data-driven recommendations for selecting the most suitable wireless technologies for smart buildings.

smart buildings; wireless technologies; Internet of Things (IoT); tourism; PIPRECIA-S model

M21 – Rad u vodećem međunarodnom časopisu kategorije

Electronics

Mapping Computer Vision Syndrome: An Engineering Problem in Human–Computer Interaction

Viduka D., Dimitrijević V., Rastovac D., Gligorijević M., Bašić A., Maričić S., Jokić S.

https://www.mdpi.com/2079-9292/13/22/4460

Computer Vision Syndrome (CVS) is a highly prevalent syndrome today, yet it remains relatively understudied, leading to limited awareness among users about this syndrome and its preventive measures. This study aims to draw attention to this syndrome among authors and researchers and encourage further research in this area. Data were retrieved from the databases PubMed, Lens, Scopus, and Google Scholar, compiling existing articles and publications from the CVS domain. Analyses cover the period from 1 January to 31 December 2023. Zotero 6.0.27, VOSviewer 1.6.20, and Microsoft Excel software were used for data analysis. A total of 893 papers were reviewed, with 578 papers included in our analysis. The study presents five different analyses showing top authors and publishers, publication trends over the years, as well as papers by source, and, finally, the most frequently used keywords. The results highlight trends in various aspects related to this issue, through the analysis of published articles over the years, along with prominent authors and their respective countries. The focus of this research is on computer vision syndrome and its representation in scientific databases. What is clearly evident from this study is the increasing trend in research over the years, as well as the leading countries in these studies. However, it is also apparent that further research in this area is needed to bring new insights to researchers and raise awareness among users who encounter computers in their daily work.

bibliometric analysis; computer vision syndrome; human–computer interaction; occupational diseases; computer users; computer terminals

M22 – Rad u međunarodnom časopisu

Electronics

Modeling Cybersecurity Risk: The Integration of Decision Theory and Pivot Pairwise Relative Criteria Importance Assessment with Scale for Cybersecurity Threat Evaluation

Šijan A., Viduka D., Ilić L., Predić B., Karabašević D.

https://www.mdpi.com/2079-9292/13/21/4209

This paper presents a comprehensive model for cyber security risk assessment using the PIPRECIA-S method within decision theory, which enables organizations to systematically identify, assess and prioritize key cyber threats. The study focuses on the evaluation of malware, ransomware, phishing and DDoS attacks, using criteria such as severity of impact, financial losses, ease of detection and prevention, impact on reputation and system recovery. This approach facilitates decision making, as it enables the flexible adaptation of the risk assessment to the specific needs of an organization. The PIPRECIA-S model has proven to be useful for identifying the most critical threats, with a special emphasis on ransomware and DDoS attacks, which represent the most significant risks to businesses. This model provides a framework for making informed and strategic decisions to reduce risk and strengthen cyber security, which are critical in a digital environment where threats become more and more sophisticated.

cybersecurity risk; decision theory; PIPRECIA-S; threat evaluation; risk assessment model

M22 – Rad u međunarodnom časopisu

Electronics

Research trends in artificial intelligence and security – Bibliometric analysis

Ilić L., Šijan A., Predić B., Viduka D., Karabašević D.

https://www.mdpi.com/2079-9292/13/12/2288

This paper provides a bibliometric analysis of current research trends in the field of artificial intelligence (AI), focusing on key topics such as deep learning, machine learning, and security in AI. Through the lens of bibliometric analysis, we explore publications published from 2020 to 2024, using primary data from the Clarivate Analytics Web of Science Core Collection. The analysis includes the distribution of studies by year, the number of studies and citation rankings in journals, and the identification of leading countries, institutions, and authors in the field of AI research. Additionally, we investigate the distribution of studies by Web of Science categories, authors, affiliations, publication years, countries/regions, publishers, research areas, and citations per year. Key findings indicate a continued growth of interest in topics such as deep learning, machine learning, and security in AI over the past few years. We also identify leading countries and institutions active in researching this area. Awareness of data security is essential for the responsible application of AI technologies. Robust security frameworks are important to mitigate risks associated with AI integration into critical infrastructure such as healthcare and finance. Ensuring the integrity and confidentiality of data managed by AI systems is not only a technical challenge but also a societal necessity, demanding interdisciplinary collaboration and policy development. This analysis provides a deeper understanding of the current state of research in the field of AI and identifies key areas for further research and innovation. Furthermore, these findings may be valuable to practitioners and decision-makers seeking to understand current trends and innovations in AI to enhance their business processes and practices.

artificial intelligence; deep learning; machine learning; security; blockchain

M22 – Rad u međunarodnom časopisu

Sinteza 2024

Application of the Agile Method of Project Management in Education of IT Students

Bašić A., Viduka D., Balaban P.

https://portal.sinteza.singidunum.ac.rs/paper/982

Scrum is one of the agile process frameworks used for better planning, organization and prioritization of work. Implementing the Scrum methodology in the educational process enables active student participation, teamwork, and the cultivation of problem-solving skills. The paper presents the basics of the Scrum framework, defines roles in the Scrum team, explains Scrum events and artifacts. The problems that may arise during the implementation of Scrum in the teaching process are analysed. The advantages of applying this agile method are emphasized and explanations are given on how the implementation of Scrum in teaching can improve the quality of teaching and learning, as well as the motivation of students.

Agile, IT education, Project-based Learning, Project management, Scrum

M33 – Saopštenje sa međunarodnog skupa štampano u celini

Sinteza 2024

Comparative Analysis of Potential Frameworks for Agile Development of Large Software Projects

Balaban P., Viduka D., Bašić A.

https://portal.sinteza.singidunum.ac.rs/paper/981

The current business environment requires an agile approach to software development in order to deliver products quickly and efficiently. This paper explores several different but well-known agile frameworks and analyzes their strengths and weaknesses in the context of large and complex software projects. Through comparison, we discover that each of these frameworks offers specific approaches to scaling project tasks with their unique characteristics. The final choice of framework depends on the specific needs and goals of the organization or the preferences of the decision-making team managers. The paper emphasizes the importance of careful assessment and analysis of each framework, consulting with experts, and gathering feedback in order for organizations to effectively scale their operations on a given project and deliver high-quality products within the set deadlines and expected quality.

Agile Framework, High-Quality Software, Software Projects, Large Software Projects, Complex Software Projects

M33 – Saopštenje sa međunarodnog skupa štampano u celini

ALFATECH – Smart Cities and Modern Technologies

Overview of wireless technologies in wireless personal area networks for IoT integration in smart cities

Bašić A., Ratovac D., Viduka D.

https://conference.alfatech.rs/proceedings/

The main goals of the development of smart cities are to improve the quality of life of citizens, to improve energy efficiency and to reduce the emission of greenhouse gases. The use of modern technologies, such as wireless networks and Internet-based applications, has made smart cities a reality. The development of wireless communication technologies enabled the application of the Internet of Things (IoT) concept. IoT technology is key for development of smart cities because it has made it possible to connect all devices and city infrastructure via the Internet. The goal of the research was to review wireless technologies in Wireless Personal Area Networks (WPANs) for IoT applications. The characteristics of Bluetooth, ZigBee and Z-Wave technologies, their application in the IoT concept, advantages and disadvantages are analyzed. The aim of the research was to compare these three technologies in terms of speed, coverage, energy efficiency, accessibility, cost and network capacity.

Bluetooth, ZigBee, Z-Wave, WPAN, Internet of Things (IoT)

M33 – Saopštenje sa međunarodnog skupa štampano u celini

ALFATECH – Smart Cities and Modern Technologies

Transformation of urban spaces of smart cities through advanced graphical user interfaces (UI)

Alebić L., Viduka D., Vrandečić D.

https://conference.alfatech.rs/proceedings/

This paper explores the key aspects of user interface design for smart cities. We analyze the key elements and challenges in creating smart city interfaces that support the needs of diverse populations, the complexity of urban environments, data security, and the integration of technology platforms. Implementation and evaluation of the user interface are key steps in ensuring efficiency and compliance with user needs. We study the processes of testing, evaluating and optimizing interfaces, as well as metrics for measuring performance and user satisfaction. We also explore future directions and trends in user interface design, including integration of advanced technologies, personalization of experience, connectivity and interoperability, innovative models of citizen participation, and an emphasis on sustainability and social responsibility. Through the application of these insights and approaches, it is possible to create interactive, user-oriented platforms that support the vision of inclusive, sustainable and technologically advanced smart cities. Continuous monitoring and adaptation to new trends and technologies are key to ensuring that user interfaces are ready for the challenges of the future and provide an optimal experience to their users.

user interface (UI), user experience design (UX), smart cities, computer graphics and digital transformation

M33 – Saopštenje sa međunarodnog skupa štampano u celini

Journal of Process Management and New Technologies

Comparative Analysis of the Computer Vision Syndrome Between the EU and Serbia

Viduka D., Bašić A., Balaban P.

https://scindeks.ceon.rs/Article.aspx?artid=2334-735X2403001V

It is hard to envisage any business activity nowadays without the use of computers. The users who in their work utilize computers or some other displays for viewing electronic contents are exposed to the computer vision syndrome effects. This paper defines the computer vision syndrome and explains occurrences of the syndrome, setting out also its consequences. Analysis has been made of the viewpoints of users from the developed EU countries regarding the computer vision syndrome. Comparison has been made of the obtained data with the data showing viewpoints of the users in the Republic of Serbia. The aim of this analysis is to form a comprehensive picture of the computer vision syndrome issues. At the end of the paper, solutions are depicted for reducing the consequences and preventing the computer vision syndrome occurrences.

computer display, eye aids, computer vision syndrome – CVS, engineering work, eye morphology

M52 – Rad u nacionalnom časopisu

Facta Universitatis, Series: Teaching, Learning and Teacher Education

Bibliometric analysis of artificial intelligence applications in higher education using Web of Science database

Šijan A., Ilić L., Predić B., Viduka D., Rančić D.

https://casopisi.junis.ni.ac.rs/index.php/FUTeachLearnTeachEd/article/view/13172

Artificial intelligence (AI) is becoming increasingly important in higher education, which has resulted in the accelerated development of research in this area. This paper conducts a bibliometric analysis of scientific papers researching AI applications in higher education, using the Web of Science database. The analysis covers the period from 1996 to February 2024 and focuses on the most cited works in this field, a total of 82 papers, with 1011 citations (944 without self-citations). Our analysis shows that interest in AI has increased significantly over the past few years, with the most dominant research in the fields of education, computer science, and engineering. The largest number of papers was published in 2023, which indicates the growing importance of this topic. These results provide a foundation for future research on the impact of AI on educational practices, its challenges, and its potential to transform education in the future.

artificial intelligence, higher education, bibliometric analysis, research trends, Web of Science

M52 – Rad u nacionalnom časopisu

Napredne tehnologije u obrazovanju i privredi, Vrnjačka Banja

Akademsko proučavanje optimizacije veb stranica (SEO) kao važne kompetencije za buduće IT inženjere

Viduka D., Đurković Marić T., Vladisavljević R.

https://napredneteh.vtsns.edu.rs/NTP_2024/radovi/elektrotehnika/43.pdf

Značaj i uticaj Interneta konstantno rastu, kao i potreba za znanjem koje se na njega primenjuje. Akademske institucije stalno pokušavaju da ostanu u koraku sa tehnologijom i pripreme svoje studente za rad. SEO je tema koja je slabo obrađena u naučnim krugovima, stoga ima malu primenu u formalnom visokom obrazovanju. S druge strane, u profesionalnim krugovima, ova tema je izuzetno aktuelna i kao takva se prezentuje diplomskim studentima koji nisu previše upoznati s njom. Cilj i želja autora je da istakne važnost proučavanja ove teme kao posebnog kursa unutar akademskih studija putem ovog rada. Zadatak svake akademske institucije je da pripremi svoje studente, između ostalog, za tržište rada u oblasti za koju studiraju, a jedan od načina za to je konstantna inovacija u planovima i programima. Baš SEO je jedna od tema koja bi trebalo da se primeni na postojeće planove i programe kako bi se stvorilo najkompetentnije osoblje u oblasti informacionih tehnologija.

Optimizacija pretraživača, SEO, kompetencije IT inženjera, web optimizacija, akademski kurs o SEO-u

M63 – Saopštenje sa skupa nacionalnog značaja štampano u celini