Journal of process management and new technologies
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description: The Faculty of Applied Management, Economics and Finance (MEF), Belgrade, University of Business Academy in Novi Sad, is the publisher of the Journal of Process Management and New Technologies. The journal is published jointly with the University of Novi Pazar, as a co-publisher. The Journal of Process Management and New Technologies (JPMNT) ISSN: 2334-7449 (Online) | 2334-735X (Print) is an international, peer-reviewed, open-access scientific journal that publishes original research and review papers in the fields of management, process management and new technologies. The journal provides a scholarly platform for research integrating organizational and managerial perspectives with quantitative methods and advanced technologies that support decision-making, including information systems, information technologies, data analytics, artificial intelligence, computational intelligence and decision support models, with a strong emphasis on real-world applications. Peer Review The journal applies a double-blind peer-review process to ensure objectivity and to avoid potential bias. Each manuscript is reviewed by at least two independent reviewers. Final decisions are made by the Editors-in-Chief, based on a reviewers’ reports. Open Access and Article Processing Charges The journal operates under a full open-access model. There, are no submission fees, publications fees, or article processing charges (APCs) for authors. Publication Frequency The journal is published biannually, with two double issues per year (Issue 1-2 and 3-4). Submission and Publication Ethics All manuscript must be submitted through the journals’ official online submission system https://aseestant.ceon.rs/index.php/jouproman/index. Following an initial editorial screening, all submission are checked using the iThenticate plagiarism and detection software to ensure a comprehensive similarity assessment, including the identification of potential plagiarism and AI-generated content. Manuscripts that pass t…
publisher: Faculty of Applied Management, Economics and Finance – MEF, Belgrade
language: en
publication name: Journal of process management and new technologies
issn: 2334-735X
items: FROM INNOVATION TO RISK: STABLECOINS AND FINANCIAL STABILITY IN DIGITAL FINANCIAL INFRASTRUCTURE
items: A DATA-DRIVEN MULTI-CRITERIA DECISION SUPPORT MODEL FOR ANALYZING SCIENTIFIC DEVELOPMENT OF OECD COUNTRIES
items: A FRAMEWORK FOR QUANTITATIVE CYBER RESILIENCE ASSESSMENT OF NETWORK ARCHITECTURES IN EDUCATIONAL INSTITUTIONS
items: BIBLIOMETRIC RESEARCH IN THE FIELD OF CYBERSECURITY: FOCUS ON ARTIFICIAL INTELLIGENCE AND ATTACK DETECTION
items: BUSINESS PROCESS ANALYSIS OF STUDENT ACTIVITY FUNDING DISBURSEMENT IN A PRIVATE UNIVERSITY IN INDONESIA
items: SMART CONTRACTS FOR FINANCIAL SECURITY: PROCESS AUTOMATION, RISK MITIGATION, AND ORGANIZATIONAL IMPLICATIONS
items: A DECISION-SUPPORT FRAMEWORK FOR BANKRUPTCY PREDICTION USING EXPLAINABLE ENSEMBLE LEARNING
items: DATA-DRIVEN ORGANIZATIONAL CHANGE MANAGEMENT: INNOVATION, LEADERSHIP, COMMUNICATION, AND TEAMWORK
items: DIGITAL PLATFORMS ECOSYSTEMS AND BUSINESS MODEL DYNAMICS: AN EMPIRICAL ANALYSIS OF INTERNATIONAL AWARD-WINNING PROJECTS
items: STRATEGIC INTEGRATION OF GASTRONOMIC HERITAGE IN GREEN TOURISM: AN EMPIRICAL STUDY FROM SERBIA
items: AN INTERVAL-VALUED SPHERICAL FUZZY SWARA-CRADIS APPROACH TO STRATEGIC PROBLEM-SOLVING IN LOCAL MEDIA BUSINESSES
items: FACTORS INFLUENCING INDIVIDUAL SAVING BEHAVIOR: A LITERATURE REVIEW
items: THE ROLE OF ARTIFICIAL INTELLIGENCE IN DECISION-MAKING AND INNOVATION IN PRODUCT DEVELOPMENT: A SYSTEMATIC LITERATURE REVIEW
items: THE DEVELOPMENT SCOPE AND PERSPECTIVES OF SOCIAL BONDS AS AN INNOVATIVE INSTRUMENT FOR FINANCING SOCIAL IMPACT
items: PRIORITIZATION OF CRITERIA FOR PRODUCTION PLANNING SOFTWARE SELECTION USING PICTURE FUZZY PIPRECIA METHOD: A CASE OF THE ORDU PROVİNCE
items: THE IMPACT OF DEMOGRAPHIC COMPOSITION IN UTKFACE AND APPA-REAL DATASETS ON FAIRNESS IN AGE ESTIMATION MODELS
items: IMAGE PROCESSING BASED PLANT FERTILIZER SPRAYING ROBOT
items: TOWARDS INTEGRATING FORENSIC ACCOUNTING IN UNIVERSITY CURRICULA: EVIDENCE FROM STUDENT PERCEPTIONS
items: AN ANALYSIS OF THE DETERMINANTS AFFECTING THE PERFORMANCE OF MICROFINANCE INSTITUTIONS IN GHANA
items: MACHINE LEARNING: TECHNIQUES, APPLICATIONS, AND METRICS FOR ENHANCED VEHICLE PERFORMANCE
items: URBAN CLIMATE ACTION PLANS IN THE AGE OF CRISIS: PATHWAYS TO SUSTAINABLE AND RESILIENT CITIES
items: THE IMPACT OF WEBSITE DESIGN ON CUSTOMER SATISFACTION AND PURCHASE INTENTION
items: SECURITY AND DATA PROTECTION IN ARTIFICIAL INTELLIGENCE
items: PYTHON-BASED STATISTICAL ANALYSIS OF THE ECOLOGICAL VARIABLES IN THE ITALIAN ALPS
items: OPTIMIZING MULTILAYER PERCEPTRON NEURAL NETWORK HYPERPARAMETERS
items: DIGITALISATION OPPORTUNITIES AS DRIVERS OF CONFIDENTIALITY RULES IN PUBLIC PROCUREMENT: ORGANISATIONAL INFORMATION CULTURE AS A MODERATOR
items: ANALYSIS OF THE IMPORTANCE OF DIGITAL MARKETING IN ENTREPRENEURIAL BUSINESS: THE CASE OF THE REPUBLIC OF SERBIA
items: TRENDS AND BEST PRACTICES FOR ENSURING DIGITAL ACCESSIBILITY IN THE WORKPLACE
items: ANALYSIS OF KEY ISSUES FOR TRANSPORT DANGEROUS GOODS IN SERBIA
items: THE PERSPECTIVE OF GAS DISTRIBUTION FROM THE RUSSIAN FEDERATION ON THE WORLD MARKET

FROM INNOVATION TO RISK: STABLECOINS AND FINANCIAL STABILITY IN DIGITAL FINANCIAL INFRASTRUCTURE
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description: Stable cryptocurrencies represent one of the most significant innovations in the field of digital finance. Their accelerated development and increasing representation in modern financial flows have raised numerous questions regarding their potential benefits, risks, and impact on financial stability. The goal of this work is to analyze the technological characteristics of stablecoins, assess their potential effects on financial stability, and review the regulatory approaches. The research is based on a qualitative approach, using the method of content analysis of relevant scientific and professional literature, regulatory documents, and market data, with the analysis of case studies of four representative models of stablecoins. Research results show that stablecoins can contribute to improving the efficiency of payment transactions, reducing transaction costs, strengthening financial inclusion, and modernizing the digital financial infrastructure. At the same time, their application can generate liquidity, operational, regulatory, and systemic risks that require adequate mechanisms of supervision and management. It is concluded that for the sustainable development of the market of stablecoins, it is necessary to establish a balance between encouraging technological innovations, transparent management of reserves, and the application of a comprehensive regulatory framework that will contribute to the preservation of financial stability.
subject: Review Paper
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creator: Vesna MARTIN
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-06-24
publication date: 2026-06-24
starting page: 153
ending page: 166
doi: 10.5937/jpmnt14-64433

A DATA-DRIVEN MULTI-CRITERIA DECISION SUPPORT MODEL FOR ANALYZING SCIENTIFIC DEVELOPMENT OF OECD COUNTRIES
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description: In the global science ecosystem, countries' academic outputs are a key determinant of their strategic development level. The aim of this study is to examine the development dynamics of higher education systems over a period of approximately thirty years using integrated decision analytics. The scientific dynamics of OECD countries between 1996 and 2024 were analyzed using integrated LODECI and RAWEC methods based on the SCIMAGO database. The study compares long-term trends with current data from 2024 from a comparative perspective. The criterion weighting analysis conducted with LODECI determined that the Citations criterion is the most important determinant of academic competitiveness. This finding shows that the positioning of higher education institutions at the national and international levels is shaped in the context of scientific impact and productivity, beyond mere quantity. Countries were ranked according to their performance by integrating the weights into the RAWEC method. This study, which synthesizes innovative MCDM methods with long-term data, offers a unique methodological framework for analyzing countries' scientific development.
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creator: Şule BAYAZİT BEDİRHANOĞLU
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-04-27
publication date: 2026-04-27
starting page: 1
ending page: 16
doi: 10.5937/jpmnt14-66270

A FRAMEWORK FOR QUANTITATIVE CYBER RESILIENCE ASSESSMENT OF NETWORK ARCHITECTURES IN EDUCATIONAL INSTITUTIONS
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description: This paper investigates the development and application of an integrated framework for the quantitative assessment of cyber resilience of network architectures in educational institutions. Resilience assessment criteria were identified and mapped to the NIST Cybersecurity Framework to cover key functional areas of cybersecurity, while the ISO 31000 standard was applied to assess disruption scenarios, including cyber-attacks and network infrastructure failures. The PIPRECIA-S method enables precise weighting of criteria based on expert assessments, and the H-SCRM methodology allows quantitative evaluation of network alternatives according to defined criteria and scenarios. The results show that the hybrid cloud-managed network architecture achieves the highest level of cyber resilience, while software-defined networking and traditional LAN architecture achieve lower global resilience index values. Sensitivity analysis confirms the stability of the ranking of alternatives and the robustness of the proposed model. The paper provides practical guidelines for improving network security and decision-making in educational institutions through an integrated approach to risk and resilience management.
subject: Original Scientific Paper
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creator: Ana BAŠIĆ
creator: Dejan VIDUKA
creator: Dražen JOVANOVIĆ
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-05-28
publication date: 2026-05-28
starting page: 31
ending page: 49
doi: 10.5937/jpmnt14-66564

BIBLIOMETRIC RESEARCH IN THE FIELD OF CYBERSECURITY: FOCUS ON ARTIFICIAL INTELLIGENCE AND ATTACK DETECTION
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description: This paper presents a comprehensive bibliometric analysis of the field of cybersecurity, with a specific focus on the application of artificial intelligence (AI) in attack detection. The study aims to provide insights into the trends, research areas, and key contributions in this rapidly evolving field, while also exploring the theoretical underpinnings of security and the challenges associated with the implementation of AI in attack detection. The integration of AI in cybersecurity has introduced significant advancements in detecting and mitigating cyber threats. However, it also poses several challenges, including the need for large datasets to train AI models, the complexity of accurately identifying novel and sophisticated attacks, and concerns regarding the transparency and interpretability of AI decisions. Theoretical frameworks in cybersecurity emphasize the importance of robust and adaptive defense mechanisms, which AI technologies strive to enhance. Despite these advancements, the dynamic nature of cyber threats necessitates continuous innovation and interdisciplinary collaboration. The search spanned publications from 2004 to 2024 and was performed on June 13, 2024. The findings of this bibliometric analysis provide valuable insights into the development and current state of research at the intersection of cybersecurity and AI. The study highlights the most influential works, prominent authors, and emerging trends in this critical area of study. Additionally, it shed light on the theoretical aspects of cybersecurity and the practical challenges faced in implementing AI for attack detection. This comprehensive analysis aims to serve as a valuable resource for researchers, practitioners, and policymakers, fostering a deeper understanding of how AI technologies can be effectively leveraged to enhance cybersecurity measures and address the complexities of modern cyber threats.
subject: Review Paper
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creator: Aleksandar ŠIJAN
creator: Luka ILIĆ
creator: Dejan VIDUKA
creator: Chulung LEE
creator: Bratislav PREDIĆ
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-06-21
publication date: 2026-06-21
starting page: 133
ending page: 152
doi: 10.5937/jpmnt14-66097

BUSINESS PROCESS ANALYSIS OF STUDENT ACTIVITY FUNDING DISBURSEMENT IN A PRIVATE UNIVERSITY IN INDONESIA
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description: In addition to formal academic activities in university, student activities play an important role in developing students holistically; consequently, an adequate funding process is needed to ensure the smooth running of these activities. A study conducted at a private university in Indonesia showed that the funding disbursement process often involves multiple phases and actors/units and requires complex procedures. This results in inefficiencies, delays, and a lack of transparency. The goal of this study is to analyze the business process of funding disbursement at a private university in Indonesia and propose improvements to the existing business processes. This study used a qualitative approach in which data collection was conducted through semi-structured interviews with people involved in the process. The data was analyzed by mapping the business process based on Standard Operating Procedures (SOPs) and comparing it with the actual process. The findings of this study disclosed several weaknesses in the existing process, including a lack of digital system utilization, no standard processing time, a time-consuming verification phase, and the persistence of manual processes and documents. Business process improvement is then proposed, including a self-verification mechanism using mandatory checklists in a digital platform by student organizations, system automation, real-time status notification, and standardized processing times. To clarify the roles and responsibilities among stakeholders in the process, the Responsible Assignment Matrix (RACI) was developed. Through this process improvement, efficiency and transparency can be increased while a balance between control and operational effectiveness is still maintained.
subject: Original Scientific Paper
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creator: Imelda JUNITA
creator: Fanny KRISTINE
creator: Sri ZANIARTI
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-06-21
publication date: 2026-06-21
starting page: 117
ending page: 132
doi: 10.5937/jpmnt14-66434

SMART CONTRACTS FOR FINANCIAL SECURITY: PROCESS AUTOMATION, RISK MITIGATION, AND ORGANIZATIONAL IMPLICATIONS
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description: Smart contracts are one of the most prevalent and important blockchain-based technologies in the field of financial security, as the automatic execution of predefined rules provides additional efficiency, lowers costs and minimizes the involvement of intermediaries. This research will examine the use of smart contracts for process automation, risk reduction and organizational restructuring in the financial sector. In particular, the interaction between centralized and decentralized financial systems, the technology behind the implementation of blockchain and security issues associated with the use of smart contracts will be considered. At the same time, escrows will be presented as an example of the practical use of smart contracts for financial operations. The results of this analysis will show that smart contracts can be used as a means to increase the reliability of financial operations; however, their widespread use depends on proper regulation, security assessment and integration with the existing financial infrastructure.
subject: Original Scientific Paper
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creator: Svetlana MARKOVIĆ
creator: Radovan VLADISAVLJEVIĆ
creator: Marko MARKOVIĆ
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-06-14
publication date: 2026-06-14
starting page: 104
ending page: 116
doi: 10.5937/jpmnt14-68025

A DECISION-SUPPORT FRAMEWORK FOR BANKRUPTCY PREDICTION USING EXPLAINABLE ENSEMBLE LEARNING
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description: Bankruptcy prediction is a challenging problem in the field of risk management of financial assets due to the rarity of bankruptcy events, the class imbalance that results from such rarity, and the regulatory requirements regarding the interpretability of AI-based decision systems. Given the gradual development of bankruptcy, it is necessary to use AI-based models that can capture non-linear relationships among financial metrics and detect early signs of issues in a company’s financial health. These requirements suggest using AI models beyond linear models and financial metrics alone. In this article, a Stacking Ensemble model is developed with both linear and non-linear models in order to investigate the ability of the models to predict bankruptcy with an emphasis on analyzing prediction trade-offs under severe class imbalance, as well as utilizing methods from the field of Explainable Artificial Intelligence (XAI) to investigate the models within the ensemble framework to determine the reasons for the ensemble’s performance on the evaluation metrics. Results indicate that the model has good discriminatory power, but is conservative in its decisions to recognize financial distress within companies. However, the requirement for model interpretability is still met, and the model’s performance across different evaluation thresholds is considered in the article.
subject: Original Scientific Paper
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creator: Zineb REDOUANE ALI
creator: Mohamed DEHANE
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-06-14
publication date: 2026-06-14
starting page: 82
ending page: 103
doi: 10.5937/jpmnt14-67029

DATA-DRIVEN ORGANIZATIONAL CHANGE MANAGEMENT: INNOVATION, LEADERSHIP, COMMUNICATION, AND TEAMWORK
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description: This paper examines the determinants of organizational change within the contemporary business environment, with a particular focus on innovation, leadership, business communication, and teamwork. The objective is to theoretically conceptualize and empirically determine the key factors that drive the dynamics and success of corporate transformational processes. The theoretical findings indicate that innovation serves as the primary vehicle for competitive advantage, leadership acts as the critical catalyst for change, business communication constitutes the foundational platform for information exchange, and teamwork facilitates the collective execution of strategic goals. The empirical results confirm the high predictive power of the model (R2=0.982), with the level of innovation exerting the most substantial impact (β=0.416), followed by leadership (β =0.217), business communication (β=0.206), and teamwork (β=0.152). The study concludes that organizational change emerges from a synergistic relationship among the analyzed determinants, with innovative processes playing a dominant role.
subject: Original Scientific Paper
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creator: Oliver MOMČILOVIĆ
creator: Dragan DOLJANICA
creator: Mouhamed Bayane BOURAIMA
creator: Suzana DOLJANICA
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-06-13
publication date: 2026-06-13
starting page: 66
ending page: 81
doi: 10.5937/jpmnt14-68235

DIGITAL PLATFORMS ECOSYSTEMS AND BUSINESS MODEL DYNAMICS: AN EMPIRICAL ANALYSIS OF INTERNATIONAL AWARD-WINNING PROJECTS
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description: Digital transformation and digital platforms have led to significant changes in the way value is created, delivered, and captured in the economy and modern business. The aim of this paper is to analyze the structure of business models, monetization models, and the geographical scope of digital platforms awarded within the World Summit Awards (WSA) program in the period 2021–2025. The research is based on a mixed-method approach with a primary focus on qualitative analysis, applying content analysis and comparative analysis to a selected sample of 25 digital platforms. The results indicate the dominance of marketplace and fintech models, which account for more than two-thirds of the analyzed sample, while SaaS and AI platforms have a smaller but globally oriented presence. From a monetization perspective, transaction-based fees represent a significant revenue generation mechanism, while subscription models are primarily applied to standardized technological solutions. The findings reveal a clear correlation between the type of business model, monetization structure, and market expansion strategy. Interaction-based platforms tend to achieve regional growth, whereas standardized models demonstrate higher global adaptability. The contribution of this paper lies in the empirical analysis of platform development patterns across different environments, thereby enhancing the understanding of growth dynamics and internationalization of digital platforms, particularly in developing countries.
subject: Original Scientific Paper
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creator: Nađa PETROVIĆ
creator: Milica NESTOROVIĆ
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-05-31
publication date: 2026-05-31
starting page: 50
ending page: 65
doi: 10.5937/jpmnt14-66690

STRATEGIC INTEGRATION OF GASTRONOMIC HERITAGE IN GREEN TOURISM: AN EMPIRICAL STUDY FROM SERBIA
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description: Traditional gastronomy is an important part of intangible cultural heritage and plays an increasingly important role in the development of sustainable tourism. Bearing in mind the rise of interest in environmentally friendly tourism, traditional gastronomy may add to the ecological, socio-cultural, and economic sustainability of tourism destinations. In addition to cultural significance, traditional food products may also influence tourists’ attitudes toward environmentally friendly tourism. This study aims to investigate the role of traditional gastronomy in the green transition of tourism in the Republic of Serbia, with particular emphasis on tourists’ perceptions and intentions. A quantitative research approach, based on a structured survey of 95 tourists who have previously consumed traditional gastronomic products at various tourism destinations in the Republic of Serbia, was used. The respondents rated 32 items on a seven-point Likert scale. The results indicated high reliability since the internal consistency reliability coefficient for the instrument was high, with Cronbach’s alpha = 0.961. Descriptive analysis and Spearman’s rank correlation method were used to determine the relationship between gastronomic motivation factors and tourists’ intentions on green tourism. The results indicated a statistically significant positive relationship between gastronomic motivation factors and tourists’ intentions. This suggests that traditional gastronomy could be a major influence on tourists’ attitudes towards green tourism. Therefore, it shows the importance of incorporating gastronomic heritage in green tourism.
subject: Original Scientific Paper
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creator: Andrija MILUTINOVIĆ
creator: Danijela PANTOVIĆ
creator: Jovan BUGARČIĆ
rights: Copyright (c) 2026 Journal of process management and new technologies
date: 2026-05-26
publication date: 2026-05-26
starting page: 17
ending page: 30
doi: 10.5937/jpmnt14-64922

AN INTERVAL-VALUED SPHERICAL FUZZY SWARA-CRADIS APPROACH TO STRATEGIC PROBLEM-SOLVING IN LOCAL MEDIA BUSINESSES
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description: This research aims to identify the key challenges faced by local media businesses, assess their severity, and propose strategic solutions. As social media and technological advancements continue to transform the media landscape, local media organizations are struggling with a wide range of problems. However, most existing strategies have failed to achieve their intended outcomes. The study employs a two-stage data collection process conducted in Artvin province, Turkey. In the first stage, the main challenges and potential strategic solutions were identified based on expert opinions. The problems of local media companies were categorized under the following dimensions: economic issues, technological and digital infrastructure, employment and skilled personnel shortages, structural and institutional challenges, legal and administrative barriers, content production and journalistic quality, distribution and accessibility, and media–political relations and ethical concerns. In the second stage, these problems and strategic solution proposals were evaluated based on experts’ assessments using the Interval-Valued Spherical Fuzzy SWARA-CRADIS methodology. The findings indicate that local media businesses struggle not only with limited economic resources but also with difficult working conditions, insufficient leave, excessive workloads, and the migration of qualified personnel. The proposed strategic solutions focus on strengthening legal and regulatory support, focusing on local community engagement, and enhancing accessibility and content diversity.
subject: Original Scientific Paper
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creator: Aleyna SARIGÜL MERT
creator: Ahmet AYTEKİN
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-11-30
publication date: 2025-11-30
starting page: 54
ending page: 77
doi: 10.5937/jpmnt13-62481

FACTORS INFLUENCING INDIVIDUAL SAVING BEHAVIOR: A LITERATURE REVIEW
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description: Saving is crucial for financial stability and economic growth. However, many struggles to balance saving and spending due to low financial literacy and insufficient income. This study examined the factors that influence saving behavior of individuals in the Philippines to address barriers to effective saving habits. Specifically, this research aims to fill the gap in identifying the factors influencing saving behavior among Filipinos. Using a qualitative methodology, the study systematically reviewed and compared prior literature's methodologies, objectives, and findings, to identify significant and common factors influencing saving habits. The results showed the factors influencing saving behavior are as follows: parental socialization, financial literacy, self-control, and peer influence; sociodemographic factors including education, income and gender, family background, attitude, financial literacy, and locality, financial attitude toward saving and self-efficacy. Furthermore, this research may help address issues that result in Filipinos not having enough income to set aside savings. In conclusion, this study emphasizes the importance of saving as it can impact a nation's growth by contributing to capital accumulation, financial resilience, and economic stability, driving long-term growth, and reducing the vulnerability of the Philippine economy to external shocks.
subject: Review Paper
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creator: Shine EMENIDO
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-12-21
publication date: 2025-12-21
starting page: 129
ending page: 140
doi: 10.5937/jpmnt13-58158

THE ROLE OF ARTIFICIAL INTELLIGENCE IN DECISION-MAKING AND INNOVATION IN PRODUCT DEVELOPMENT: A SYSTEMATIC LITERATURE REVIEW
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description: Artificial intelligence is changing how organizations develop products and make decisions. This literature review shows that AI is now a key driver for innovation and efficiency in product management. Companies use AI tools to improve every stage of the product lifecycle, from idea creation to final delivery and ongoing updates. AI helps managers analyze large sets of data, predict market trends, and speed up decision processes. Instead of replacing people, AI often supports human work by allowing teams to solve complex problems and test new ideas faster. However, successful AI adoption depends on quality data, organizational readiness, and clear strategies. Main challenges include technical questions, data trust, ethical issues, and staff training. Best practices highlight the importance of combining human expertise with AI tools, using agile methods, and developing transparent, responsible systems. Research gaps remain in understanding AI’s long-term effects, especially in non-digital sectors and on employee motivation. This review provides a structured overview of trends, challenges, and future research directions for AI in product management and decision-making.
subject: Review Paper
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creator: Luka GLUŠČEVIĆ
creator: Rajko IVANIŠEVIĆ
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-12-21
publication date: 2025-12-21
starting page: 118
ending page: 128
doi: 10.5937/jpmnt13-62991

THE DEVELOPMENT SCOPE AND PERSPECTIVES OF SOCIAL BONDS AS AN INNOVATIVE INSTRUMENT FOR FINANCING SOCIAL IMPACT
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description: The paper analyzes the development, functioning mechanisms and prospects of social bonds as an innovative financial instrument aimed at achieving measurable social impact. Social bonds are based on a results-based financing model, in which private capital is mobilized for the implementation of projects of public importance, while the return on investment is paid only if predefined social outcomes are achieved. The paper discusses the key characteristics of social bonds, their advantages and limitations, with an analysis of international experiences and the implementation of different models. Special emphasis is placed on institutional prerequisites, the quality of performance measurement, the distribution of risks between actors and the importance of transparent evaluation. Through a review of available case studies, examples of the application of social bonds in the areas of employment of vulnerable groups, education, social protection and public health are presented. The findings suggest that social bonds can contribute to more efficient and sustainable financing of social policies, but their success depends on the regulatory framework, institutional capacity and the quality of available data. The paper provides a basis for assessing the feasibility of applying this instrument in developing countries and provides guidelines for future research. Keywords: Social bonds, innovative financial instruments, performance-based financing, social impact, public policies, sustainable financing, performance evaluation.
subject: Original Scientific Paper
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creator: Ana ANUFRIJEV
creator: Anđelka ANIČIĆ
creator: Almaz GIZIEW
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-12-21
publication date: 2025-12-21
starting page: 107
ending page: 117
doi: 10.5937/jpmnt13-63386

PRIORITIZATION OF CRITERIA FOR PRODUCTION PLANNING SOFTWARE SELECTION USING PICTURE FUZZY PIPRECIA METHOD: A CASE OF THE ORDU PROVİNCE
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description: With technological transformation, businesses have begun to carry out more effective production planning and have increasingly needed production planning software programs for short-, medium-, and long-term planning activities. Research shows that production planning software provides significant benefits to businesses in various operational areas such as time management, workforce allocation, production scheduling, overtime control, and inventory management. In addition to enhancing operational efficiency, these software systems also contribute to reducing costs, using resources more effectively, and improving overall organizational performance. However, determining the criteria used in selecting the most suitable production planning software is crucial and requires careful consideration. Within the scope of this study, the criteria used in production planning software selection in manufacturing enterprises were identified and prioritized. For this purpose, the Picture Fuzzy PIPRECIA method was applied. According to the analysis results, among the criteria used in selecting production planning software in manufacturing enterprises, the most important criteria were identified as “Security” and “Reporting and Analysis,” while the least important criteria were found to be “Support and Training” and “Updating and Maintenance.
subject: Original Scientific Paper
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creator: Selçuk KORUCUK
creator: Ahmet AYTEKİN
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-12-08
publication date: 2025-12-08
starting page: 97
ending page: 106
doi: 10.5937/jpmnt13-62702

THE IMPACT OF DEMOGRAPHIC COMPOSITION IN UTKFACE AND APPA-REAL DATASETS ON FAIRNESS IN AGE ESTIMATION MODELS
type: item
description: This paper analyzes the impact of demographic composition on fairness in facial age estimation models trained on the UTKFace and APPA-REAL datasets. Building on previously published empirical results, the study provides a theoretical and analytical interpretation of how dataset imbalance affects model bias. Through comparative evaluation of group-wise performance metrics including Mean Absolute Error, Standard Deviation, Disparate Impact, and Equality of Opportunity, the paper introduces the concept of a Distributional Fairness Baseline (DFB) as a diagnostic framework for separating dataset-driven bias from model-induced bias. The analysis reveals that fairness is primarily a function of the representativeness and internal structure of training data, rather than model architecture. Contrary to common assumptions, full data equalization through oversampling does not necessarily enhance equity and may even amplify disparities due to overfitting and redundancy. Instead, moderate redistribution, particularly controlled undersampling of dominant groups often achieves an optimal balance between accuracy and fairness. These findings emphasize that equitable model performance depends on both quantitative and qualitative diversity within datasets, establishing data design as the central determinant of fairness in automated age estimation systems.
subject: Original Scientific Paper
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creator: Nenad PANIĆ
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-12-07
publication date: 2025-12-07
starting page: 78
ending page: 96
doi: 10.5937/jpmnt13-62440

IMAGE PROCESSING BASED PLANT FERTILIZER SPRAYING ROBOT
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description: The application of smart technologies in agriculture has transformed conventional farming practices, significantly increasing productivity and sustainability. In this research, we propose a novel method of agricultural automation through the development of an Autonomous Plant Spraying Robot. The system integrates Raspberry Pi and ESP32 microcontrollers along with servo motors to provide a flexible and robust solution for various agricultural operations. The Raspberry Pi functions as the central processing unit, offering substantial computational power and connectivity for real-time data processing and decision-making. The ESP32 microcontroller manages wireless communication and sensor integration, enabling remote monitoring and control of agricultural activities. Servo motors are employed for precise and efficient actuation, allowing the robot to carry out tasks such as spraying, irrigation, and harvesting with high accuracy and consistency. Key features of the project include modular design, scalability, and ease of customization. By leveraging open-source hardware and software platforms, the system remains adaptable and easily integrated with existing agricultural machinery and infrastructure. Furthermore, the use of servo motors enables the robot to navigate a variety of terrains and complex environments, broadening its applicability across diverse farming practices and landscapes. Through field testing and performance evaluation, we demonstrate the effectiveness of the robotic system in enhancing operational efficiency, reducing labor costs, and minimizing environmental impact. Future developments will focus on system optimization, integration of advanced sensing technologies, and real-world deployment to maximize its contribution to global food production.
subject: Original Scientific Paper
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creator: Omkar KACHARE
creator: Vandana KALE
creator: Badri NARAYAN MOHAPATRA
creator: Nikhil NEHE
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-10-19
publication date: 2025-10-19
starting page: 44
ending page: 53
doi: 10.5937/jpmnt13-59013

TOWARDS INTEGRATING FORENSIC ACCOUNTING IN UNIVERSITY CURRICULA: EVIDENCE FROM STUDENT PERCEPTIONS
type: item
description: <!-- [if gte mso 9]><xml><o:DocumentProperties><o:Revision>1</o:Revision><o:Pages>1</o:Pages><o:Lines>1</o:Lines><o:Paragraphs>1</o:Paragraphs></o:DocumentProperties></xml><![endif]--><!-- [if gte mso 9]><xml><o:OfficeDocumentSettings></o:OfficeDocumentSettings></xml><![endif]--><!-- [if gte mso 9]><xml><w:WordDocument><w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel><w:DisplayHorizontalDrawingGridEvery>0</w:DisplayHorizontalDrawingGridEvery><w:DisplayVerticalDrawingGridEvery>2</w:DisplayVerticalDrawingGridEvery><w:DocumentKind>DocumentNotSpecified</w:DocumentKind><w:DrawingGridVerticalSpacing>7.8 磅</w:DrawingGridVerticalSpacing><w:PunctuationKerning></w:PunctuationKerning><w:View>Normal</w:View><w:Compatibility><w:AdjustLineHeightInTable/><w:DontGrowAutofit/><w:BalanceSingleByteDoubleByteWidth/><w:DoNotExpandShiftReturn/></w:Compatibility><w:Zoom>0</w:Zoom></w:WordDocument></xml><![endif]--><!-- [if gte mso 9]><xml><w:LatentStyles DefLockedState="false" DefUnhideWhenUsed="true" DefSemiHidden="true" DefQFormat="false" DefPriority="99" LatentStyleCount="260" > <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="Normal" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 1" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 2" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 3" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 4" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 5" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 6" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 7" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 8" ></w:LsdException> <w:LsdException L…
subject: Original Scientific Paper
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creator: Stefan MILOJEVIĆ
creator: Tijana MATEJIĆ
creator: Miloš MILOŠEVIĆ
creator: Milan RESIMIĆ
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-10-19
publication date: 2025-10-19
starting page: 29
ending page: 43
doi: 10.5937/jpmnt13-59441

AN ANALYSIS OF THE DETERMINANTS AFFECTING THE PERFORMANCE OF MICROFINANCE INSTITUTIONS IN GHANA
type: item
description: Microfinance Institutions (MFIs) are crucial in providing services to the underprivileged, particularly those with limited incomes and the unorganized sector in a sustainable manner. In the Ghanaian business industry, these firms are primarily seen as vital institutions for progress against poverty and an excessive dependence on national and local governments. Thus, the goal of this study is to identify the factors affecting the performance of Microfinance institutions in Ghana. Multiple regression and descriptive statistics were used to analyze the secondary data gathered from the 133 MFIs in Ghana with SPSS. The study's conclusions showed that efficiency and liquidity have significantly positively impact on the firms' return on equity (ROE). Capital adequacy ratio (CAR) and non-performing loans (NPL) had no statistically significant effect on the Microfinance institutions' performance (ROE). Additionally, the study discovered a significant positive effect of CAR on the performance of the return on assets (ROA) on the MFIs. However, liquidity, efficiency and NPL had no statistical significant impact on the performance (ROA) of the companies. The research contributes to literature on the studies conducted on MFIs in Ghana and practically assists in improving and enhancing their performance. This study also promotes ways on how the government and stakeholders can support MFIs for a long-term sustainability and the economic growth in the country.
subject: Original Scientific Paper
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creator: Jane ARTHUR-SAM
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-10-18
publication date: 2025-10-18
starting page: 12
ending page: 28
doi: 10.5937/jpmnt13-60280

MACHINE LEARNING: TECHNIQUES, APPLICATIONS, AND METRICS FOR ENHANCED VEHICLE PERFORMANCE
type: item
description: Machine learning allows systems to autonomously learn from data and improve performance without direct programming, providing robust tools for identifying patterns, forecasting outcomes, and optimising complex processes. This paper offers a comprehensive overview of machine learning, beginning with an examination of its core categories: supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and deep learning. The review considers essential algorithms associated with each machine learning category, providing insights into their functions and real-world applications. The paper also discusses widely used evaluation metrics for regression models, including Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared (R²), which are essential for assessing predictive performance and guiding model selection. The article examines numerous real-world applications of machine learning across various sectors, including healthcare, banking, transportation, marketing, and cybersecurity, illustrating how these technologies are transforming modern processes and delivering tangible benefits.
subject: Original Scientific Paper
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creator: Aadil Arshad FERHATH
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-10-04
publication date: 2025-10-04
starting page: 1
ending page: 11
doi: 10.5937/jpmnt13-58995

URBAN CLIMATE ACTION PLANS IN THE AGE OF CRISIS: PATHWAYS TO SUSTAINABLE AND RESILIENT CITIES
type: item
description: Cities are at the forefront of both contributing to and being affected by climate change. In order for cities to achieve sustainability and resilience, they need to develop policies against climate change. At this point, climate action plans come to the fore. This study investigates how urban climate action plans integrate risk management into spatial planning to promote sustainability and adaptive capacity. Focusing on five metropolitan cities (Bursa, Konya, Gaziantep, Copenhagen and New York), the study uses document analysis to assess mitigation targets, sectoral priorities and implementation frameworks. This study examines how local governments design and implement climate strategies within various regional and institutional frameworks. The analysis reveals a convergence around key themes such as energy transition, sustainable mobility and green infrastructure, despite administrative capacity and geographical differences. While Turkish municipalities, such as Konya and Gaziantep, have begun to emphasize climate adaptation, Bursa distinguishes itself with its relatively early strategic planning. In contrast, global cities such as Copenhagen and New York are disseminating practices against the impacts of climate change to society. By situating these examples in a comparative context, the study highlights the need for climate strategies that are both locally grounded and internationally best practice.
subject: Original Scientific Paper
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creator: Berfin GÖKSOY SEVİNÇLİ
creator: Menaf TURAN
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-06-24
publication date: 2025-06-24
starting page: 124
ending page: 142
doi: 10.5937/jpmnt13-59217

THE IMPACT OF WEBSITE DESIGN ON CUSTOMER SATISFACTION AND PURCHASE INTENTION
type: item
description: <!-- [if gte mso 9]><xml><o:DocumentProperties><o:Revision>1</o:Revision><o:Pages>1</o:Pages><o:Lines>1</o:Lines><o:Paragraphs>1</o:Paragraphs></o:DocumentProperties></xml><![endif]--><!-- [if gte mso 9]><xml><o:OfficeDocumentSettings></o:OfficeDocumentSettings></xml><![endif]--><!-- [if gte mso 9]><xml><w:WordDocument><w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel><w:DisplayHorizontalDrawingGridEvery>0</w:DisplayHorizontalDrawingGridEvery><w:DisplayVerticalDrawingGridEvery>2</w:DisplayVerticalDrawingGridEvery><w:DocumentKind>DocumentNotSpecified</w:DocumentKind><w:DrawingGridVerticalSpacing>7.8 磅</w:DrawingGridVerticalSpacing><w:PunctuationKerning></w:PunctuationKerning><w:View>Normal</w:View><w:Compatibility><w:AdjustLineHeightInTable/><w:DontGrowAutofit/><w:BalanceSingleByteDoubleByteWidth/><w:DoNotExpandShiftReturn/></w:Compatibility><w:Zoom>0</w:Zoom></w:WordDocument></xml><![endif]--><!-- [if gte mso 9]><xml><w:LatentStyles DefLockedState="false" DefUnhideWhenUsed="true" DefSemiHidden="true" DefQFormat="false" DefPriority="99" LatentStyleCount="260" > <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="Normal" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 1" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 2" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 3" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 4" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 5" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 6" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 7" ></w:LsdException> <w:LsdException Locked="false" Priority="99" SemiHidden="false" Name="heading 8" ></w:LsdException> <w:LsdException L…
subject: Original Scientific Paper
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creator: Tamara TOMIĆ
creator: Igor LAVRNIĆ
creator: Dejan VIDUKA
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-01-20
publication date: 2025-01-20
starting page: 1
ending page: 13
doi: 10.5937/jpmnt13-51904

SECURITY AND DATA PROTECTION IN ARTIFICIAL INTELLIGENCE
type: item
description: The development of artificial intelligence contributes to the digital transformation of the entire society, improving numerous processes, automation and better decision-making. In addition to the many opportunities it offers, it also brings with it great risks in data security. The problem is further complicated by unauthorized access to data processed by artificial intelligence models, data theft, ethical dilemmas and lack of algorithm transparency. This paper analyzes artificial intelligence through different fields and the problems it can cause. A special emphasis is on the research into user attitudes, which shows us what kind of knowledge respondents have about artificial intelligence and all the risks it can cause. The results help us to see what the biggest problems regarding the use of such models are. The work provides guidelines for minimizing risks and creating problems, while dictating the trend for responsible use of artificial intelligence for legally correct purposes.
subject: Original Scientific Paper
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creator: Marko MARKOVIĆ
creator: Dragan SOLEŠA
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-06-22
publication date: 2025-06-22
starting page: 113
ending page: 123
doi: 10.5937/jpmnt13-58872

PYTHON-BASED STATISTICAL ANALYSIS OF THE ECOLOGICAL VARIABLES IN THE ITALIAN ALPS
type: item
description: The high Alpine region of northern Italy is characterized by unique ecosystems, a complex hydrogeological setting, steep topographic gradients, variety of vegetation types and landscape patches, and varied in climatic and meteorological factors. Alpine ecosystem is even more complex when the vegetation composition is dominated by coniferous trees, since underground flow conditions and directions have unpredictable water quantities. Modelling such ecosystems requires advanced tools of programming and computing approaches, such as Python. This article is focused on the distributed water balance modelling in alpine catchments. The area is dominated by the coniferous forests (spruce, pine) with trees of different age (old >200 years and young, <30 years). Selected trees are covered by epyhytes (lichens). For effective planning and management of the use of water resources, Python-supported estimations and statistical modelling are a necessary approach for environmental forest monitoring. In particular, the highest suitable spatial resolution that can be achieved in water balance estimations is evaluated in a complicated topographical setting of South Tyrolean Alps with limited knowledge of physiographic factors of forest and meteorological variables (precipitation, temperature, air humidity).
subject: Original Scientific Paper
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creator: Polina LEMENKOVA
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-06-22
publication date: 2025-06-22
starting page: 102
ending page: 112
doi: 10.5937/jpmnt13-57672

OPTIMIZING MULTILAYER PERCEPTRON NEURAL NETWORK HYPERPARAMETERS
type: item
description: Predictions across multiple disciplines rely on the efficacy of fundamental artificial neural networks, such as multilayer perceptron (MLP). Optimization is a key step in improving predictive performance of these models. In this study, a global nonlinear neural model was developed to predict the impact of using the digital technology in society, the economy and public administration on economic development. By conducting 17 experiments on the basic MLP neural network, authors investigated the effects of modifying the network architecture, learning rate and type of activation function. Standard measures of model errors and coefficient of determination were employed as criteria to prioritize configurations using the PROMETHEE II multi-criteria approach. The results reveal that models featuring two hidden layers, reduced learning speed and adequate activation functions achieve optimal performance with MSE16=0.012, RMSE16=0.110, MAPE16=12.186 and R²16=0.719. Conversely, too complex models complicate the learning process and lead to imprecise predictions as in the case of MSE5=0.019, RMSE5=0.138, MAPE5=17.225 and R²5=0.559. The results indicate the importance of adjusting the neural network hyperparameters to the nature of the research problem. Additionally, the study reveals the important role of MCDM in choosing the most adequate configuration when considering diverse criteria with different targets.
subject: Original Scientific Paper
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creator: Ivana PETKOVSKI
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-06-21
publication date: 2025-06-21
starting page: 81
ending page: 101
doi: 10.5937/jpmnt13-58965

DIGITALISATION OPPORTUNITIES AS DRIVERS OF CONFIDENTIALITY RULES IN PUBLIC PROCUREMENT: ORGANISATIONAL INFORMATION CULTURE AS A MODERATOR
type: item
description: As public procurement increasingly relies on digital systems, protecting sensitive procurement data becomes critical. Drawing on information security control theory (ISCT), this study examines the impact of digitalisation opportunities (DOP) on the enforcement of confidentiality rules in public procurement (CRP), with a specific focus on the moderating role of organisational information culture (OIC). The study employs a cross-sectional quantitative research design, collecting data from 218 procurement practitioners across public organisations in the Dodoma region, Tanzania. A structured questionnaire survey was employed to collect the data. Confirmatory factor analysis (CFA) and Hayes PROCESS Macro were used to test the model hypotheses. The results reveal that while DOP positively influence compliance with CRP. This relationship is significantly strengthened when the organisation exhibits a strong information culture. In contrast, a weak information culture diminishes the effectiveness of DOP in maintaining confidentiality. The results underscore the importance of synergies between technological systems and a strong security-conscious culture in safeguarding sensitive procurement information. This study contributes to the literature on public procurement, supply chain, and information management by integrating ISCT to explore how both technical and cultural factors influence confidentiality in public procurement processes. It provides new insights into the interplay between DOP and OIC, offering valuable guidance for policymakers and procurement practitioners in enhancing data security in public procurement processes.
subject: Original Scientific Paper
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creator: Baraka ISRAEL
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-05-18
publication date: 2025-05-18
starting page: 38
ending page: 55
doi: 10.5937/jpmnt13-55680

ANALYSIS OF THE IMPORTANCE OF DIGITAL MARKETING IN ENTREPRENEURIAL BUSINESS: THE CASE OF THE REPUBLIC OF SERBIA
type: item
description: Nowadays, entrepreneurship plays an important role in the development of economy in the Republic of Serbia. However, in order for entrepreneurial ideas to really come to life and become successful, it is necessary for entrepreneurs to have an effective marketing strategy that will help them gain recognition and attract customers. Precisely in this context, digital marketing has imposed itself as an unavoidable factor in modern entrepreneurship. The modern era of digital transformation has changed the way entrepreneurs approach marketing. Today, digital marketing is one of the most effective ways to gain recognition, increase sales and attract new customers. Entrepreneurs in the Republic of Serbia increasingly recognize the importance of digital marketing, and apply different digital marketing strategies to improve their business. The goal of this paper is to investigate the importance of applying digital marketing in entrepreneurship in the era of the new digital economy. Through the analysis that was conducted, it was determined that entrepreneurs in the Republic of Serbia attach great importance to digital marketing. It was also concluded that those entrepreneurs who have been in business longer and have a larger number of employees, at the same time attach more importance to digital marketing channels.
subject: Original Scientific Paper
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creator: Boban PANOVSKI
creator: Miloš STOJANOVIĆ
creator: Milica POPOVIĆ
creator: Filip CVETKOVIĆ
creator: Nemanja STANKOVIĆ
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-05-18
publication date: 2025-05-18
starting page: 67
ending page: 80
doi: 10.5937/jpmnt13-57681

TRENDS AND BEST PRACTICES FOR ENSURING DIGITAL ACCESSIBILITY IN THE WORKPLACE
type: item
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subject: Original Scientific Paper
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creator: Radka NACHEVA
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-05-18
publication date: 2025-05-18
starting page: 56
ending page: 66
doi: 10.5937/jpmnt13-57500

ANALYSIS OF KEY ISSUES FOR TRANSPORT DANGEROUS GOODS IN SERBIA
type: item
description: The transport of dangerous goods poses a significant challenge for the industry, given the potential risks to safety and the environment. This paper analyzes key aspects of regulation and training that affect the efficiency and safety of this sector. Based on a literature review, a survey was developed and conducted in 2023 among 204 respondents, professionals in the field of dangerous goods transport in Serbia. The survey was distributed through electronic channels, allowing for broad access to various industry participants. It encompasses questions that describe six constructs: assessment of the dangerous goods transport environment, legal framework and regulatory familiarity, vehicle classification and documentation, training and certification, vehicle inspection and maintenance, and statistics and procedural aspects. The survey results indicate varying levels of satisfaction with regulation and training. According to the respondents, 35% rated the regulatory process for obtaining a professional competence certificate for dangerous goods advisors as "very good," while 24.8% rated it as "satisfactory." Regarding the training content for certificate renewal, 29.1% of respondents rated the content as "very good," but 10.2% expressed dissatisfaction, suggesting a need for improvement in training programs. The analysis of administrative costs reveals that only 5.8% of respondents rated these costs as "excellent," indicating a need for strategies to reduce costs to enhance accessibility and competitiveness in the dangerous goods transport sector.
subject: Original Scientific Paper
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creator: Aleksandra PETROVIĆ
creator: Nebojša ARSIĆ
creator: Predrag STANOJEVIĆ
creator: Živče ŠARKOĆEVIĆ
creator: Miloš PLJAKIĆ
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-03-07
publication date: 2025-03-07
starting page: 28
ending page: 37
doi: 10.5937/jpmnt13-56388

THE PERSPECTIVE OF GAS DISTRIBUTION FROM THE RUSSIAN FEDERATION ON THE WORLD MARKET
type: item
description: In recent years, the world has witnessed a concerning rise in unrest, causing considerable disruptions across multiple sectors. The Russian Federation's incursion into Ukraine has generated widespread consequences, affecting global production, trade, energy supplies, and inflation. European Union member states have been notably impacted, encountering difficulties in securing oil and gas supplies. As Germany and other EU countries contend with these challenges, particularly those arising from sanctions on Russia, the crisis holds the potential to pave the way for one of the most significant energy alliances in modern history. This development could strengthen and expand economic ties between Russia, a major global exporter of oil and gas, and China, one of the world's largest energy consumers. As these connections grow, a more pronounced political divide between the East and West is anticipated, underscored by extensive and strategic investments in infrastructure for the transportation, storage, and distribution of gas
subject: Original Scientific Paper
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creator: Milan VESELINOVIĆ
creator: Jelena STANOJEVIĆ
creator: Damir GASHI
rights: Copyright (c) 2025 Journal of process management and new technologies
date: 2025-02-09
publication date: 2025-02-09
starting page: 14
ending page: 27
doi: 10.5937/jpmnt13-56387