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Vol 19, No 37 (2025)

Volume 19 Issue 37 2025

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Edited by:

Vitomir Starčević

Vol 19, No 37 (2025):

Novi Ekonomist

Published: 27.06.2025.

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56 DAYS

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28.05.2025. Review Online First
APPLICATION OF ARTIFICIAL INTELLIGENCE IN CLUSTER ANALYSIS FOR ENHANCING PRODUCTIVITY AND SUSTAINABILITY IN AGRICULTURAL PRODUCTION IN THE REPUBLIC OF SRPSKA

By Mirela Mitrašević, Radomir Bodiroga, Katica Radosavljev, Biljana Chroneos Krasavac

This research investigates how cluster analysis and artificial intelligence (AI) can be used to increase agricultural productivity and sustainability in the Republic of Srpska. More accurate strategic planning and effective resource management were made possible by the identification of particular clusters with comparable traits through the analysis of climatic parameters and the classification of regions. While the use of machine learning techniques allows for more precise forecasting of the effect of climatic conditions on yields, the suggested insurance models, which are based on cluster analysis, have the potential to improve farmers' financial protection. This research emphasizes the necessity of creating customized insurance models that account for particular climatic risks and implementing contemporary technology to enhance the claims resolution procedure. Through these approaches, it is possible to significantly increase the resilience of the agricultural sector to climate change and ensure better financial stability and safer production.

Current issue
27.06.2025. Scientific article
SUBSIDIES FOR SUSTAINABLE AGRICULTURE IN SERBIA AND THE EU: POLICY ANALYSIS AND ITS EFFECTS

By Jadranka Đurović Todorović, Marina Đorđević, Ivana Filipović, Milica Ristić Cakić

27.06.2025. Review
ENHANCING SOCIAL MEDIA AD CAMPAIGNS THROUGH ENSEMBLE-BASED OPTIMIZATION

By Safiye Turgay, Mustafa Kavacık, Yunus Emre Torkul, Muhammed Sercan Şahin, Rabia Ayşe Güzel

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Review
THE CONCEPT OF CLOUD MARKETING

By Mirjana Maksimović, Zvjezdana Gavrilović

Industry 4.0 can be interpreted as a business discipline that has led to the automation and digitalization of business systems thanks to Internet of Тhings, Cyber Physical Systems, Cognitive computing, but also Cloud computing that is crucial to the continuous development of Industry 4.0, because Cloud-based technology connects and centralizes information essential for business, and in addition provides an open source platform that improves research for the entire industry. In order to meet customer needs, different industrial branches apply Cloud computing which allows companies to adapt more easily to ongoing technological innovations. Cloud computing with unlimited networking capabilities enables businesses to optimize their business processes and activate their applications, which provide them with data necessary for business analytics. Additionally, thanks to innovative applications on the Cloud platform, personal adaptation to the individual needs of users is made. All of this has also affected the emergence of Cloud-based marketing, which implies the activity of organizations focused on the digital delivery of products and services tailored to users’ individual needs. This paper analyzes the concept of Cloud marketing and defines Cloud marketing platforms that contribute to the optimization of marketing strategies, and the increase in return on investment.

Review
CREDIT RISK OF SMALL AND MEDIUM-SIZED ENTERPRISES IN THE CONDITIONS OF THE COVID-19 CRISIS

By Miloš Pjanić, Stevan Luković, Mirela Mitrašević

The subject of the paper is assessment of the credit risk of small and medium-sized enterprises (SMEs) in the conditions of the COVID-19 crisis. The paper gives the overview of the theoretical and professional literature on the existing accounting standards related to the assessment of expected loss and banking regulations in terms of capital adequacy, as well as their applicability in the current crisis. Bearing in mind the share of SMEs in total gross domestic product and employment in emerging and developing markets, and dependence of these companies on bank funding, special attention is paid to the researches dealing with the impact of stress tests and an increase in capital requirements on credit supply. Since the paper was written at a time when the COVID-19 crisis was well under way, and the final effects could not be fully analysed, except for only certain projections, future researches will focus on the effectiveness of the existing credit risk assessment models in crisis conditions.

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