Milan Gligorijević

Journal of Business Economics and Management

Multi-criteria decision analysis of e-commerce software selection using AHP-NWA hybrid model

Rade Rakić; Milan Gligorijević; Dejan Viduka; Nikola Gligorijević; Danilo Strugarević

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. Results indicate that security and functionality are the most critical factors. The proposed hybrid approach offers practical implications for digital business strategy and theoretical insights into combining hierarchical and network-based MCDM methods.

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

M21

In the Book of the Proceedings of IRASA International Scientific Conference, Science, Education, Technology and Innovation, SETI VII

Methodological approach to educating students in the field of marketing in the age of artificial intelligence.

Brkljač, M., Gligorijević, M., Gligorijević, N.

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The dynamic nature of marketing development and the contemporary influence of information communication technologies on most marketing strategies and tactics have led to the need to review traditional learning methods in the field of marketing. This paper analyzes methodological approaches to education in marketing and provides critical observations and suggestions by emphasizing the relevance of applied methods in the context of artificial intelligence tools. The analyzed models include PBL, project-based learning, simulations, and AI-based tools (adaptive learning, interactive chatbots, predictive analytics).

Methodology, marketing education, learning models, AI based tools, proactive learning, critical thinking and innovation.

M33

Proceedings of International Scientific Conference „ALFATECH – Smart Cities and modern technologies“

Robotization and artificial intelligence in the function of Industry 4.0

Nebojša Denić; Milan Gligorijević; Saša Mihaljović; Jelena Stojanović; Kostadinka Stojanović

https://doi.ub.kg.ac.rs/doi/alfatech25-067d/

This paper presents how advances in robotics and artificial intelligence affect economic and social transformation. Based on literature review and practice, the study discusses the evolution of AI in robotics, its applications, benefits, and challenges. Results indicate that robotics and AI are key players in global transformation and optimization of business processes, while emphasizing the need for adequate ICT infrastructure, user training, ethical use, and caution regarding potential risks.

Digitization, Industry 4.0, Robots, Artificial Intelligence

M33

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.; Milan Gligorijevic; Barzut S.

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

This study investigates the utilization of wireless technologies within WPANs in smart buildings, including Bluetooth BLE 4.2, Bluetooth BLE 5.0, ZigBee, and Z-Wave. A multiple-criteria decision-making approach (PIPRECIA-S model) was applied to evaluate technologies according to connectivity, mobility, energy consumption, scalability, flexibility, and interoperability. Results indicate that ZigBee and Bluetooth BLE 5.0 provide superior performance.

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

M21

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

This study maps research on Computer Vision Syndrome (CVS) using data from PubMed, Lens, Scopus, and Google Scholar for the period 1 January to 31 December 2023. A total of 893 papers were reviewed, with 578 included in the analysis. The results highlight publication trends, leading authors and publishers, and frequently used keywords, while emphasizing the need for further research and awareness.

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

M22 – Rad u međunarodnom časopisu

IRASA International Scientific Conference Science, Education, Technology and Innovation – SETI V 2023, Book of Proceedings

Aspects of communicating corporate security towards consumer behavior.

Brkljač, M., Gligorijević, M., Simić, M.

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This paper points out the aspects of communication of corporate security elements and their impact on consumer behavior and decision-making in purchasing products and services. It emphasizes that quality communication of positive aspects of corporate security can contribute to a strong company image. The paper uses the historical method and desk research to analyze the impact of corporate security on consumer behavior.

Corporate security, consumer behavior, communications, organizational behavior, safety.

M31

Maejo International Journal of Science and Technology

Detection of nanoparticles in images supported by hybrid edge detection method

Petar Bisevac, Ratko Ivkovic, Petar Spalevic, Milan Simic, Milan Gligorijevic

http://www.mijst.mju.ac.th/Vol17/index.htm

This paper presents an approach for identification and localization of nanoparticles in digital images by using a hybrid edge detection method and multiple image-processing techniques. Matlab software was used for mathematical support and analysis across a large number of samples. The results demonstrate advancements in edge detection components and consistent performance across different detection scenarios.

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M23

Procedings of IRASA International Scientific Conference Science, Education, Technology and Innovation SETI V 2023, Belgrade, Serbia

Student discipline as today’s social security problem – the role of the education system in removing this problem

Stefan Popović, Jovan Ničković, Sonja Đukić Popović, Vladimir Čabrić, Jovan Veselinović, Milan Gligorijević, Dejan Đukić

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Student indiscipline is presented as a major problem of both education and modern society. The paper identifies key causes of student indiscipline and explores ways to prevent them, emphasizing the role of the educational system as the earliest link between youth and the state apparatus. Students, teachers, and parents from several schools in the Belgrade and Niš school administrations participated in the preparation of the paper.

student indiscipline, national security, upbringing, education

M33

Procedings of 9th Virtual International Conference on Science, Technology and Management in Energy, Belgrade, Serbia

Neural networks in pellet combustion control - an overview of the group's research work in 2022/2023

Stefan Popović, Dejan Đukić, Sonja Đukić Popović, Milan Gligorijević

https://energetics.cosrec.org/previous-energetics/

The paper discusses the need for stronger application of artificial intelligence, machine learning, and neural networks in combustion control in boilers with automatic firing. It presents the experimental application on the ATI Terming Ozone 55 boiler and a brief overview of obtained results, with a focus on environmental protection and improved combustion management.

boilers with automatic firing, neural networks, environmental protection

M33