Journal of process management and new technologies

The THE EFFECT OF ECONOMIC FREEDOMS ON PUBLIC DEBT IN TÜRKİYE

Salim Üre — 2024-03-26

While the fourth industrial revolution is happening at great speed, it is an inevitable fact that without significant economic investments, countries will enter a stagnant economy and lose their international competitiveness. Large amounts of funds are needed to invest in these areas. For this reason, countries that cannot provide sufficient funds through national and international trade need public borrowing to finance investments. Given these explanations, the study focused on analyzing a dataset encompassing the share of public debt in GDP and the sub-criteria of the economic freedom index for the years 1999-2022. The objective was to explore the influence of economic freedoms on the economy. Public debt in Türkiye ARDL (Autoregressive Distributed Lag) method was used to determine the short- and long-term relationship. According to the results of the analysis, business freedom and tax burden, which are the sub-criteria of economic freedom, have a positive effect on public expenditures; Monetary freedom, trade freedom, financial freedom and investment freedom have been found to have a negative impact. It is expected that these borrowings will turn into a burden on the country's economy in the short term and gain in the long term.

DIGITAL TRANSFORMATION IN HEALTHCARE REHABILITATION: A NARRATIVE REVIEW

Ayesha AFRIDI — 2024-03-26

The incorporation of digital technologies into healthcare rehabilitation is fundamentally changing patient care. This narrative study is aimed to explore the changing landscape of digital transformation in healthcare rehabilitation, concentrating on the skills and training needed for healthcare professionals, as well as their impact on patient outcomes. The narrative review progresses by delving into the history of healthcare rehabilitation, the growing role of digital technology, and their impact on rehabilitation methods. It defines the important areas of effect, goes into the applications of digital technology, and dissects the abilities required of healthcare professionals, classifying them as technical, soft, and cognitive. The review emphasizes the importance of interprofessional collaboration and skill exchange among healthcare professionals and technology. Furthermore, empirical evidence is used to examine the direct relationship between the adoption of digital technologies and patient outcomes. Ethical concerns, regulatory barriers, and efforts to bridge the digital gap and improve accessibility are explored. The narrative continues by highlighting the impact of these findings on healthcare professionals, institutions, and policymakers, and highlighting the importance of this research in the ongoing era of digital transformation.

DIGITAL NOMADS: THE WHOLE WORLD AS A GLOBAL OFFICE

Maja VIZJAK — 2024-05-19

New technologies and high-speed Internet have enabled great flexibility in work. A digital nomad is simultaneously independent and lives and works in several places! A digital nomad is an entrepreneur or employee who almost exclusively uses digital technologies for his business activity. Croatia has caught up with the global trend of regulating the status of digital nomads and ranks highly in the rankings of destinations desirable for digital nomads. Since January 2021, when the visa program for digital nomads was introduced, a total of 2,560 applications have been received and a total of 1,038 have been approved. Croatia is one of the first EU members to regulate one-year residence and strategically develop the offer of the interesting economic and tourism sector. Digital nomads are excellent potential tourism ambassadors since they often migrate and have rich experience of staying in other countries. In a survey, the majority of respondents confirmed that Croatia is the preferred destination for digital nomads. The aim of this paper is to confirm the potential of digital nomads. The scientific contribution is manifested in the detection of the benefits of the further development of digital nomads as a profession of the future.

CONCEPT SOLUTION OF AUTONOMOUS IOT SMART HIVE AND OPTIMIZATION OF ENERGY CONSUMPTION USING ARTIFICIAL INTELLIGENCE

Nebojša ANDRIJEVIĆ — 2024-05-19

In this paper the authors present a conceptual solution for an autonomous smart beehive with a focus on energy efficiency; the hive's existence is based on artificial intelligence. The hive is equipped with an advanced system for monitoring the entry and exit of bees, as well as for collecting data on the weather inside and around the hive. Using an array of sensors controlled by Espressif ESP32 and Arduino Mega microcontroller boards, the hive continuously optimizes the operation of the ventilation system and other components, monitoring energy consumption and adapting to changing conditions. Special accents in the work are dedicated to the monitoring of the solar panel and, consequently, the capacity of the battery for independent power supply of the system, as well as the application of artificial intelligence to predict meteorological changes and optimize energy efficiency. This paper provides a comprehensive overview of the solutions and technologies that enable the autonomous and energy-efficient functioning of the Smart Hive.

INTEGRATING ARTIFICIAL INTELLIGENCE INTO CENTRAL BANKING: OPPORTUNITIES, CHALLENGES, AND IMPLICATIONS

Vesna MARTIN — 2024-06-09

Artificial intelligence is increasingly being used in a variety of areas, including central banking, to improve decision-making, business efficiency, and risk management. Today, practically all central banks are investigating the use of artificial intelligence in their operations, such as economic forecasting, risk analysis, policy research, and market analysis. All of these can help to increase the financial system's resilience at a time when the global economy is becoming more interconnected and complex. On the other hand, it is vital to highlight the emerging obstacles of artificial intelligence, such as cyber security, data privacy, and algorithm transparency, which central banks must address to effectively utilize the benefits of artificial intelligence applications. When deploying artificial intelligence, central banks should take a thorough and balanced approach, considering the ethical, legal, and social implications while maximizing on all of the benefits that artificial intelligence may provide. Continuous monitoring of regulatory frameworks and international cooperation can assist central banks in realizing the potential of these technologies. In this paper, we will analyze the function of artificial intelligence in central banking. We will examine the benefits, challenges, and risks, as well as the use of artificial intelligence in the operations of leading central banks, with a particular emphasis on its use in Serbia's banking sector.

MACHINE LEARNING APPLICATIONS IN AUTOMOTIVE ENGINEERING: ENHANCING VEHICLE SAFETY AND PERFORMANCE

Surajit MONDAL — 2024-06-09

In recent years, the automotive industry has witnessed a significant paradigm shift with the integration of Machine Learning (ML) techniques into various aspects of vehicle design and operation. This paper explores the burgeoning field of ML applications in automotive engineering, particularly focusing on its role in augmenting vehicle safety and performance. ML algorithms, powered by advancements in data analytics and computational capabilities, offer unprecedented opportunities to enhance traditional automotive systems. From predictive maintenance to autonomous driving, ML techniques enable vehicles to perceive, interpret, and respond to complex real-world scenarios with remarkable precision and efficiency. This paper provides an overview of key ML applications in automotive safety, including collision avoidance systems, adaptive cruise control, and driver monitoring. Furthermore, it examines how ML algorithms contribute to optimizing vehicle performance through predictive modeling, fuel efficiency optimization, and dynamic vehicle control. Moreover, the challenges and future prospects of integrating ML into automotive engineering are discussed. These include issues related to data quality, model interpretability, and regulatory standards. Despite these challenges, the rapid advancements in ML technology hold immense promise for revolutionizing the automotive industry, paving the way for safer, more efficient, and intelligent vehicles of the future.

RISKS ASSOCIATED WITH ROBOTIC PROCESS AUTOMATION

Danijel HORVAT — 2024-06-09

Background: Companies follow new trends to keep up with changes and find better ways of doing business. As one of the latest technologies, Robotic Process Automation (RPA) is in line with the automation trend that has become more prevalent in the 21st century. Since this technology is relatively new, many questions remain unanswered and have not been adequately addressed. Robotic process automation is under-researched in terms of risks that may arise during its development, implementation, or use. Purpose: The aim of this paper is to identify potential risks that may arise during the implementation of the Robotic Process Automation project. Research design/methodology/approach: Using Web of Science and SCOPUS index databases, a systematic review of the literature was conducted to answer the research question and achieve the defined goal. Results/conclusions: According to the results of the systematic literature review, Robotic Process Automation poses not only the typical risks associated with implementing any technology but also risks that are specific to this technology. Limitations/future research: Identified limitations refer to a small number of papers addressing the risks associated with robotic process automation. Furthermore, it is proposed that future research should include additional bases of studies.

THE INFLUENCE OF GREEN COMPENSATION, GREEN APPRAISAL, AND GREEN SATISFACTION ON EMPLOYEE PERFORMANCE IN CONSTRUCTION COMPANIES

Ira Septi Ayu SAPUTRI — 2024-06-29

This inquire about points to analyze the impact of green compensation, green appraisal, and green satisfaction on employee performance in development companies in Indonesia. This research was conducted using a quantitative approach with a population of 8,769,798 employees working in Indonesian construction companies, then calculated using the Slovin formula to obtain a sample of 204 respondents. The sampling method in this research is non-probability using the Quota Sampling technique. The analysis technique uses a questionnaire in the form of a Google form which is distributed randomly to construction companies, and data testing uses an analysis tool in the form of PLS SEM. The research results prove that (1) green compensation has no effect on employee performance in construction companies, (2) green compensation has a positive and significant effect on green satisfaction in construction companies, (3) green appraisal has a positive and significant effect on green satisfaction in construction companies, (4) green appraisal has a positive and significant effect on employee performance in construction companies, (5) green satisfaction has a positive and significant effect on employee performance in construction companies in Indonesia.

UNVEILING THE CHARACTERISTICS OF THE EU CHARISMATIC LEADERS USING PIPRECIA-S METHOD

Vuk MIRČETIĆ — 2024-06-29

One of the popular leadership styles in politics is charismatic leadership, which implies that leaders possess unique qualities that set them apart from others, enabling them to mobilise the masses, gain support, win elections, and inspire them towards a common goal. Although many important studies have been undertaken regarding leaders and evaluating leadership qualities, there is a particular gap regarding examining charismatic leadership competencies using MDCM (Multiple-Criteria Decision-Making) methods. This paper aims to fill the scientific gap and provide a different insight into leadership competencies by evaluating the characteristics of the EU charismatic leaders in the 21st century using the PIPRECIA-S method. Drawing on previous research, this article provides a a more fine-grained perspective of the literature on leadership competencies and using PIPRECIA-S method to rank charismatic leadership competencies of EU leaders, and provide insights into European Union leaders' qualities, focusing on their strengths and areas for development. The findings highlight the importance of specific competencies in effective leadership, such as stability, discernment, education, analytical thinking, and learning from mistakes. This article also displays the effectiveness of MDCM methods in evaluating leadership competencies, providing a robust framework for estimating leadership in political and other contexts. The findings have implications for policymakers, organizations, and individuals seeking to develop leadership competencies in the European Union, candidate countries and beyond.

PREDICTIVE MODELING OF STROKE OCCURRENCE USING PYTHON FOR IMPROVED RISK ASSESSMENT

Đorđe PUCAR — 2024-06-29

This paper examines the use of Machine Learning (ML) techniques, particularly Logistic Regression and Random Forests, to predict the occurrence of strokes. It integrates demographic, clinical, and lifestyle factors. The study uses Python as the primary tool for model development and analysis, focusing on binary classification to categorize individuals as either having had a stroke or not. The dataset includes attributes such as age, gender, hypertension, smoking status, and more, which are used to train and evaluate the models. Through extensive experimentation and evaluation, the paper demonstrates the effectiveness of Logistic Regression and Random Forests in stroke prediction. Logistic Regression provides a straightforward baseline, while Random Forests offer higher predictive accuracy. The findings highlight the importance of ML-based approaches in healthcare risk assessment and showcase Python's versatility in facilitating such analyses.