Journal of process management and new technologies
type: channel
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: sr-Latn
publication name: Journal of process management and new technologies
issn: 2334-735X
items: A DATA-DRIVEN MULTI-CRITERIA DECISION SUPPORT MODEL FOR ANALYZING SCIENTIFIC DEVELOPMENT OF OECD COUNTRIES
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: Engleski
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: Uticaj dizajna veb-sajta na zadovoljstvo korisnika i nameru kupovine
items: SECURITY AND DATA PROTECTION IN ARTIFICIAL INTELLIGENCE
items: English
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
items: Синергија техничке и фундаменталне анализе у предвиђању прекограничних токова капитала и алокације средстава
items: The effect of conventional bank credit, Islamic bank financing, and Zakat distribution on GDP
items: Трансформација отпада на Филипинима: Утицај циркуларне економије на пословање и животну средину
items: Logistics
items: CONOMIC AND ENVIRONMENTAL BENEFITS OF SUSTAINABLE MATERIALS ADOPTION IN AUTOMOTIVE MANUFACTURING
items: EXPLORING THE MODERATION ROLE OF TENDERPRENEURSHIP ON PROCUREMENT PLANNING AND VALUE FOR MONEY IN TANZANIA'S PUBLIC PROCUREMENT
items: OPTIMIZING FORECASTING STRATEGIES: EVALUATING HOLT-WINTERS MODELS FOR HOTEL RESERVATION TRENDS
items: QUIET QUITTING IN THE NIGERIAN HEALTHCARE SECTOR: INVESTIGATING UNDERLYING MOTIVES AND CONSEQUENCES ON CORPORATE PRODUCTIVITY
items: EVALUATING THE IMPACT OF MOTIVATION FACTORS ON EMPLOYEE ORGANIZATIONAL BEHAVIOR USING THE PIPRECIA S METHOD

A DATA-DRIVEN MULTI-CRITERIA DECISION SUPPORT MODEL FOR ANALYZING SCIENTIFIC DEVELOPMENT OF OECD COUNTRIES
type: item
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.
subject: Originalni naučni članak
  topic: section
creator: Şule BAYAZİT BEDİRHANOĞLU
rights: Sva prava zadržana (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

AN INTERVAL-VALUED SPHERICAL FUZZY SWARA-CRADIS APPROACH TO STRATEGIC PROBLEM-SOLVING IN LOCAL MEDIA BUSINESSES
type: item
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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Aleyna SARIGÜL MERT
creator: Ahmet AYTEKİN
rights: Sva prava zadržana (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
type: item
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: Pregledni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Shine EMENIDO
rights: Sva prava zadržana (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
type: item
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: Pregledni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Luka GLUŠČEVIĆ
creator: Rajko IVANIŠEVIĆ
rights: Sva prava zadržana (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
type: item
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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Ana ANUFRIJEV
creator: Anđelka ANIČIĆ
creator: Almaz GIZIEW
rights: Sva prava zadržana (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
type: item
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: Originalni naučni članak
  topic: section
creator: Selçuk KORUCUK
creator: Ahmet AYTEKİN
rights: Sva prava zadržana (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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Nenad PANIĆ
rights: Sva prava zadržana (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
type: item
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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Omkar KACHARE
creator: Vandana KALE
creator: Badri NARAYAN MOHAPATRA
creator: Nikhil NEHE
rights: Sva prava zadržana (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

Engleski
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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Stefan MILOJEVIĆ
creator: Tijana MATEJIĆ
creator: Miloš MILOŠEVIĆ
creator: Milan RESIMIĆ
rights: Sva prava zadržana (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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Jane ARTHUR-SAM
rights: Sva prava zadržana (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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Aadil Arshad FERHATH
rights: Sva prava zadržana (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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: BERFİN GÖKSOY SEVİNÇLİ
creator: Menaf TURAN
rights: Sva prava zadržana (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

Uticaj dizajna veb-sajta na zadovoljstvo korisnika i nameru kupovine
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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Tamara TOMIĆ
creator: Igor LAVRNIĆ
creator: Dejan Viduka
rights: Sva prava zadržana (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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Marko Marković
creator: Dragan SOLEŠA
rights: Sva prava zadržana (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

English
type: item
description: Високоалпски регион северне Италије карактеришу јединствени екосистеми, сложено хидрогеолошко окружење, стрми топографски градијенти, разноврсност типова вегетације и пејсажних делова, и разноврсност климатских и метеоролошких фактора. Алпски екосистем је још сложенији када у саставу вегетације доминирају четинари, јер услови и правци подземних токова имају непредвидиве количине воде. Моделирање таквих екосистема захтева напредне алате програмирања и рачунарских приступа, као што је Питхон. Овај чланак је фокусиран на моделирање дистрибуираног водног биланса у алпским сливовима. Подручјем доминирају четинарске шуме (смрека, бор) са дрвећем различите старости (старо >200 година и младо, <30 година). Одабрано дрвеће прекривено је епихитима (лишајевима). За ефикасно планирање и управљање коришћењем водних ресурса, Питхон подржане процене и статистичко моделирање су неопходни приступи за праћење шума у ​​животној средини. Конкретно, највиша погодна просторна резолуција која се може постићи у проценама водног биланса процењује се у компликованом топографском окружењу Јужнотиролских Алпа са ограниченим познавањем физиографских фактора шума и метеоролошких варијабли (падавине, температура, влажност ваздуха).
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Polina Lemenkova
rights: Sva prava zadržana (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

English
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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Ivana Petkovski
rights: Sva prava zadržana (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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Baraka ISRAEL
rights: Sva prava zadržana (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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Boban PANOVSKI
creator: Miloš STOJANOVIĆ
creator: Milica POPOVIĆ
creator: Filip CVETKOVIĆ
creator: Nemanja STANKOVIĆ
rights: Sva prava zadržana (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
description: <!-- [if gte mso 9]><xml> <o:OfficeDocumentSettings> <o:RelyOnVML/> <o:AllowPNG/> </o:OfficeDocumentSettings> </xml><![endif]--><!-- [if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:TrackMoves/> <w:TrackFormatting/> <w:DoNotShowRevisions/> <w:DoNotPrintRevisions/> <w:DoNotShowMarkup/> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:DoNotPromoteQF/> <w:LidThemeOther>EN-GB</w:LidThemeOther> <w:LidThemeAsian>X-NONE</w:LidThemeAsian> <w:LidThemeComplexScript>X-NONE</w:LidThemeComplexScript> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/> <w:DontGrowAutofit/> <w:SplitPgBreakAndParaMark/> <w:EnableOpenTypeKerning/> <w:DontFlipMirrorIndents/> <w:OverrideTableStyleHps/> </w:Compatibility> <m:mathPr> <m:mathFont m:val="Cambria Math"/> <m:brkBin m:val="before"/> <m:brkBinSub m:val="--"/> <m:smallFrac m:val="off"/> <m:dispDef/> <m:lMargin m:val="0"/> <m:rMargin m:val="0"/> <m:defJc m:val="centerGroup"/> <m:wrapIndent m:val="1440"/> <m:intLim m:val="subSup"/> <m:naryLim m:val="undOvr"/> </m:mathPr></w:WordDocument> </xml><![endif]--><!-- [if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" DefUnhideWhenUsed="false" DefSemiHidden="false" DefQFormat="false" DefPriority="99" LatentStyleCount="376"> <w:LsdException Locked="false" Priority="0" QFormat="true" Name="Normal"/> <w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 1"/> <w:LsdException Locked="false" Priority="9" SemiHidden="true" UnhideWhenUsed="true" QFormat="true" Name="heading 2"/> <w:LsdException Locked="false" Priority="9" SemiHidden="true" UnhideWhenUsed="true" QFormat="true" Name="heading 3"/> <w:LsdException Locked="false" Priority="9" SemiHidden="true" UnhideWhenUsed="true" QFormat="true" Name="heading 4"/> <w:LsdException…
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Radka NACHEVA
rights: Sva prava zadržana (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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Aleksandra PETROVIĆ
creator: Nebojša ARSIĆ
creator: Predrag STANOJEVIĆ
creator: Živče ŠARKOĆEVIĆ
creator: Miloš PLJAKIĆ
rights: Sva prava zadržana (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: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
creator: Milan VESELINOVIĆ
creator: Jelena STANOJEVIĆ
creator: Damir GASHI
rights: Sva prava zadržana (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

Синергија техничке и фундаменталне анализе у предвиђању прекограничних токова капитала и алокације средстава
type: item
description: In an increasingly interconnected global financial landscape, investors seek effective strategies for managing portfolios across borders. This review paper examines the integration of Technical Analysis (TA) and Fundamental Analysis (FA) in forecasting cross-border capital flows, focusing on the unique contexts of Thailand, United Kingdom, and Japan. TA utilizes historical price data and indicators such as moving averages and Relative Strength Index (RSI) to inform short-term trading decisions (Murphy, 1999), while FA assesses the intrinsic value of securities based on economic indicators, financial health, and market conditions to guide long-term investment strategies (Graham & Dodd, 2009). By synthesizing existing literature, this paper highlights the theoretical frameworks that support the combined use of TA and FA, aiming to bridge the gap between immediate market movements and long-term economic fundamentals. The review identifies key studies that demonstrate the efficacy of integrating both approaches, suggesting that this combined methodology can enhance forecasting accuracy and improve investment outcomes. Through case studies of Thailand, United Kingdom, and Japan, the paper illustrates the practical applications of this combined analysis. In Thailand, local economic indicators and political events shape capital flows in the UK, macroeconomic factors such as Brexit and monetary policy play crucial roles and in Japan, unique market characteristics and technological advancements influence investor behavior. Ultimately, this review advocates for a holistic approach to investment analysis, emphasizing the need for further research into the synergistic effects of TA and FA in international portfolio management.
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
creator: Sorranan Rongrodejanarug
rights: Sva prava zadržana (c) 2024 Journal of process management and new technologies
date: 2024-12-22
publication date: 2024-12-22
starting page: 132
ending page: 147
doi: 10.5937/jpmnt12-54615

The effect of conventional bank credit, Islamic bank financing, and Zakat distribution on GDP
type: item
description: The growth of gross domestic product (GDP) is subject to a number of different influences. The objective of this study is to analyse the impact of conventional bank credit, Islamic bank financing and zakat distribution on gross domestic product. The study employs a sample comprising data from 33 provinces in Indonesia, spanning the period from 2018 to 2022. The data analysis technique employed is dynamic panel data regression utilising the Generalised Method of Moments (GMM) method. The findings indicated that partial conventional bank credit and zakat distribution exerted a notable positive influence on GDP. In contrast, the impact of Islamic bank financing on GDP is not statistically significant. This is due to the fact that the market share of Islamic banking in Indonesia remains relatively low, and access to financing in this sector is also still quite complex. Concurrently, conventional bank credit, Islamic bank financing, and zakat distribution exert a significant influence on GDP. The findings of this study suggest that the financing provided by Islamic banks has not yet been fully capable of boosting GDP, given that the share of Islamic bank financing in Indonesia remains relatively modest in comparison to conventional banks. Consequently, the results of this study can be utilized to inform the development of programs and policies for relevant stakeholders.
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
creator: Muhammad Ali Imran CANIAGO
creator: Jeihan Ali AZHAR
creator: Muhammad Ghafur WIBOWO
creator: Joko SETYONO
rights: Sva prava zadržana (c) 2024 Journal of process management and new technologies
date: 2024-12-22
publication date: 2024-12-22
starting page: 118
ending page: 131
doi: 10.5937/jpmnt12-55062

Трансформација отпада на Филипинима: Утицај циркуларне економије на пословање и животну средину
type: item
description: Повећана пажња која се посвећује циркуларној економији (CE) доводи до тога да многе земље усвајају овај приступ и користе га као политички алат за унапређење одрживости, како је наведено у истраживању (Падилја-Ривера и др., 2020). Ово истраживање се фокусирало на то како CE може утицати на пословање и животну средину, конкретно на Филипинима, како би се решио очигледан недостаци прегледа литературе која се бави овом темом у контексту Филипина. Истраживање је идентификовало теме као што су недостатак регулаторног оквира, потреба за јачањем и стандардизацијом за бољу имплементацију и ниска свест. Студија је показала да је решавање ових проблема и подстицање пракси које промовишу одрживост и економски раст од кључне важности. На крају, ово истраживање пружа бољи увид у то како правилна имплементација циркуларне економије може утицати на пословање и животну средину.
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
creator: Justine Marc Salvacion
creator: Karl Kampos
rights: Sva prava zadržana (c) 2024 Journal of process management and new technologies
date: 2024-12-10
publication date: 2024-12-10
starting page: 101
ending page: 117
doi: 10.5937/jpmnt12-54560

Logistics
type: item
description: Logistics companies are increasingly focusing more on technological transformation and development to save costs and transition to a more flexible structure, and their business objectives are closely tied with this framework. Changing business processes and technological revolutions force logistics companies to become more adaptive and agile, demanding the creation of organizational procedures in this context. To do this, the technology revolution, also known as logistics 4.0, is gaining popularity in the logistics industry and playing an essential role in cost savings for businesses. Logistics 4.0 applications are one approach for implementing procedures in logistics organizations in an effective and efficient manner. However, logistics 4.0 applications encounter many administrative and operational barriers. In this regard, the study identified and weighted barriers to logistics 4.0 applications in logistics companies with corporate identities. The polytopic fuzzy RANCOM approach was employed for this aim. The study found that "costs of implementing logistics 4.0" and "necessity of implementing process-driven management approaches" are the most significant barriers to implementing logistics 4.0, while "existence of cyber-attack threats" is the least important criterion.
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
creator: Selçuk Korucuk
creator: Ahmet AYTEKİN
rights: Sva prava zadržana (c) 2024 Journal of process management and new technologies
date: 2024-12-04
publication date: 2024-12-04
starting page: 90
ending page: 100
doi: 10.5937/jpmnt12-54800

CONOMIC AND ENVIRONMENTAL BENEFITS OF SUSTAINABLE MATERIALS ADOPTION IN AUTOMOTIVE MANUFACTURING
type: item
description: The automotive industry is undergoing a major transformation towards sustainability, driven by both economic and environmental concerns. Traditional manufacturing processes rely heavily on non-renewable resources like steel and plastics, contributing to environmental degradation and greenhouse gas emissions. However, with increasing regulatory pressures and consumer demand for eco-friendly products, automakers are adopting sustainable materials such as bio-based plastics, recycled metals, and natural fibers. These materials offer environmental benefits by reducing carbon emissions, conserving resources, and minimizing waste, while also providing economic advantages such as improved fuel efficiency, lower production costs, and reduced dependency on volatile resource markets. Integrating sustainable materials often requires changes in production processes, including retooling and new technologies, but these adjustments lead to long-term benefits, such as lighter vehicles, lower energy consumption, and enhanced recyclability. Additionally, innovations like 3D printing have facilitated the use of these materials, allowing for more efficient production with less waste. A lifecycle analysis approach reveals that sustainable materials can significantly reduce environmental impact throughout a vehicle's life, from production to disposal. This shift has also opened up new market opportunities, as consumers increasingly favor vehicles that align with their environmental values. Overall, by adopting sustainable practices, the automotive industry can address both economic and ecological priorities, positioning itself for future growth while leading the way in demonstrating how sustainability can drive innovation.
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Surajit MONDAL
creator: Shankha Shubhra Goswami
rights: Sva prava zadržana (c) 2024 Journal of process management and new technologies
date: 2024-12-03
publication date: 2024-12-03
starting page: 65
ending page: 89
doi: 10.5937/jpmnt12-54386

EXPLORING THE MODERATION ROLE OF TENDERPRENEURSHIP ON PROCUREMENT PLANNING AND VALUE FOR MONEY IN TANZANIA'S PUBLIC PROCUREMENT
type: item
description: This study investigates the moderating role of tenderpreneurship on the relationship between procurement planning and value for money within Tanzanian public procurement. Employing a cross-sectional research design, data were collected from procurement practitioners in Dodoma using structured questionnaires, with quantitative analysis conducted via SPSS and Hayes' moderation approach. The research explores the direct effects of procurement planning and tenderpreneurship on value for money, as well as the moderation effect of tenderpreneurship on this relationship. Findings reveal that while procurement planning positively impacts value for money, tenderpreneurship negatively moderates this relationship, suggesting it can undermine procurement effectiveness. The study's limitations include its cross-sectional design and regional focus, with recommendations for future research to employ longitudinal and qualitative methods. Practical implications highlight the need for transparency, capacity building, and technology adoption to enhance procurement practices. The research also calls for reforms to boost accountability and ensure value for money, offering original insights into the dynamics between tenderpreneurship, procurement planning, and value for money in public procurement.
subject: Originalni naučni članak
  topic: section
creator: Yohana Arsen RUTABA
rights: Sva prava zadržana (c) 2024 Journal of process management and new technologies
date: 2024-11-22
publication date: 2024-11-22
starting page: 51
ending page: 64
doi: 10.5937/jpmnt12-53583

OPTIMIZING FORECASTING STRATEGIES: EVALUATING HOLT-WINTERS MODELS FOR HOTEL RESERVATION TRENDS
type: item
description: This study undertakes the task of forecasting seasonal time series data, employing Holt-Winters' multiplicative and additive forecasting models. The dataset under scrutiny comprises historical records detailing the daily count of reservations alongside corresponding prices across various room categories in a Vlora-based hotel in Albania, spanning the years 2021 to 2023, post the COVID-19 pandemic. The data originates from the hotel's internal records. Through the utilization of Holt-Winters exponential smoothing techniques, this study discerns distinct trend and seasonal patterns within the daily reservation counts for each room category during the aforementioned period. The process involves establishing initial values and smoothing parameters, crucial for unveiling these patterns. The primary aim is to identify the most effective forecasting method for both the reservation counts across room categories and the price fluctuations. Additionally, an analysis is conducted to compare the influx of foreign citizens arriving in Albania with the consequent impact on increased reservations and pricing within the hotel structure. The central focus of this study is to ascertain the optimal approach while determining the superior methodology for handling such forecasts. Through this comparative analysis, the research seeks to delineate the most favorable approach amidst varied methodologies.
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Arjola SINANI
creator: Majlinda GODOLJA
rights: Sva prava zadržana (c) 2024 Journal of process management and new technologies
date: 2024-11-22
publication date: 2024-11-22
starting page: 42
ending page: 50
doi: 10.5937/jpmnt12-52110

QUIET QUITTING IN THE NIGERIAN HEALTHCARE SECTOR: INVESTIGATING UNDERLYING MOTIVES AND CONSEQUENCES ON CORPORATE PRODUCTIVITY
type: item
description: Quiet quitting has become one of the prevailing workers attitudes affecting the productivity in many business organizations. Considering its prevalence in the healthcare sector, the present research seeks to investigate the underlying motives for quiet quitting among health workers and its consequences on corporate productivity in the Nigerian health sector. Adopting a quantitative methodology, the research utilized a well-structured questionnaire, and data was collected from the seventy-four staff of Lagos State University Teaching Hospital in Nigeria. In analyzing the research data, descriptive and inferential statistics was used to evaluate and predict the causes and consequences of quiet quitting among healthcare workers the Nigerian business industry. The findings of the study revealed that excessive workload emerged as a primal significant factor influencing quiet quitting behaviors, impacting job satisfaction and retention. Notably, the result highlights the long-term implications of silent disengagement, accentuating its enduring consequences. Although, the correlation between compensation and quiet quitting underscored the pivotal role of fair remuneration in addressing employee disengagement. Meanwhile, the emphasis on pays and rewards underscores the critical relevance of equitable compensation structures in improving staff engagement and retention in the Nigerian healthcare sector. Recognizing the impact of compensation on silent quitting habits, Nigeria government and public administrators are advised to plan and implement initiatives to ensure fair remuneration, potentially reducing disengagement and enhancing commitment among healthcare workers.
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Yusuf Olamitunji YISA
creator: Nuha Salihu AREMU
creator: Peter Abiodun ABOGUNRIN
rights: Sva prava zadržana (c) 2024 Journal of process management and new technologies
date: 2024-11-22
publication date: 2024-11-22
starting page: 30
ending page: 41
doi: 10.5937/jpmnt12-51667

EVALUATING THE IMPACT OF MOTIVATION FACTORS ON EMPLOYEE ORGANIZATIONAL BEHAVIOR USING THE PIPRECIA S METHOD
type: item
description: Motivation, as a key determinant of productivity, seeks to provide reciprocal benefit by satisfying both the worker's and the organization's requirements. The advent of globalization and rapid economic progress has presented novel issues in motivation and productivity. Organizations aim to address these rapid changes by seeking novel approaches to enhance motivation in their work environment, necessitating managers to exhibit creativity and innovation in devising and executing tactics to boost motivation. To attain the intended outcome, managers must identify the variables that lead to a decrease in motivation and devise strategies to eliminate or counteract these problems by incorporating positive elements that promote motivation. Motivation is a multifaceted process, as various aspects that drive motivation do not have the same impact on everyone. In other words, what motivates one person may not have the same effect on another one. This research aims to analyze the impact of motivation on employees' organizational behavior. The objective of the study is to ascertain the specific incentives that exert a favorable influence on organizational behavior, ultimately resulting in enhanced employee productivity.
subject: Originalni naučni članak
  topic: section
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
subject: Array
  topic: keywords
creator: Marija JANOŠIK
creator: Tijana ĐUKIĆ
creator: Marija MLADENOVIĆ
rights: Sva prava zadržana (c) 2024 Journal of process management and new technologies
date: 2024-09-15
publication date: 2024-09-15
starting page: 13
ending page: 29
doi: 10.5937/jpmnt12-52003