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Exploring the Role of Emotions and Moods in Decision Making: Study on the Use of Structured Decision Approach and Intuition
140-149Views:638Emotions and moods can play a significant role in the decision making. The present paper contest this point by providing evidence on the two important approaches used in decision making that is structured decision approach and intuition. For this purpose data was gathered from 150 respondents in two different groups. Chi square test, independent sample t-test and logistic regression analysis were used to test the hypothesis. The results of the study reveal that individuals with positive and negative mood state vary significantly in their use of structured decision approach and intuition. The individuals with negative mood state are more likely to use all steps of structured decision approach as compared to the individuals in the positive mood state. The results of the study further reveal that the individual’s emotional state significantly predicted the use of structured approach and intuition in decision making.
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Theoretical Overview of Discrete Choice Experiment
62-73Views:365The purpose of this study is to present a preference evaluation method, the discrete choice experiment. The reader can gain information on the background, application areas (with particular emphasis on health economics), the process and about three models (multinomial logit, random parameter logit, nested logit). Based on the results of literature analysis it can be said that the method is very promising, but in many areas it still needs improvement.
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Present and Future of Industrial Robotisation
13-24Views:509The following paper analyzing the installation of industrial robotisation in sectors and regions, in addition carry out forcastings on historical data. In recent years, automation and the use of industrial robotics have increased exponentially in the manufacturing sector. Given that companies prioritize enhanced production efficiency, quality assurance, and safety, it is evident that substantial investment and implementation of automation continue to occur in manufacturing facilities worldwide. The number of industrial robots globally has been growing steadily since 2010. However, the rate of growth has slowed from 2020 onwards. The impact of the Covid-19 epidemic was still felt in 2020, but the deployment of industrial robots increased significantly in 2021. Global industrial robot deployment is projected to continue to grow in the coming years, although the rate of increase may vary between regions and countries. The analysis showed a number of differences between regions in the number and growth rate of industrial robot deployments. Asia and Australia are the largest markets for robots and the number of robots deployed is expected to continue to grow in the future. Europe is the second largest market and, although growing at a slower rate, industrial robot deployment is also increasing steadily. In the Americas, growth is slower than in other regions, but still increasing. Global growth trends suggest that there will be further growth in the coming years and that the deployment of industrial robots will become more widespread in different parts of the world.
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The Relationship between Family Background and Labor Market Success
88-97Views:661In our study, we undertake to explore the social background of fresh graduates (has absolutorium) by field of study. In doing so, we put great emphasis on the educational attainment of the parents and the financial situation of the family, as these factors can have a significant impact on young people's learning opportunities, attitudes and career paths. In the theoretical part of our research, we consider it important to present the experiences of domestic and international authors on the socio-economic situation. Subsequently, the 2015 Graduate Career Tracking System (DPR) database provided us an excellent opportunity to study the complex data collected by the 34 higher education institutions. In our analysis, we highlighted the different socio-economic backgrounds of graduates from different disciplines. Based on our research, we have concluded that young people from richer families are in a better position on the labor market, earning higher incomes than children of parents with lower social status
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Numerical analysis of effects of an open-pit coal mine to groundwater
70-74Views:356In this study we investigated the hydrogeological problems of an open-pit brown coal mine in the Borsod coal basin with Processing Modflow software. The coal mine is located in the valley of the Sajó-river with high transmissivity overburden layer where the traditional dewatering solutions were not encouraging due to inrush risks and low cost-efficiency. A new way of barrier forming was found out and numerically simulated to prove the efficiency of the solution. Since there are several contaminated sites in the surroundings it was a key factor to assure that the new mine dewatering technique has only a negligible effect on the groundwater regime that undisturbs the known contaminant plumes nearby.
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Analysis of Smart Photovolatic Systems
67-75Views:265Nowadays more attention should be paid to the electric power generation wi th renewables. The photovoltaic systems have several benefits. But this systems power output could drastically drop by numerous external phenome. To avoid these, we introduce the so called “TIGO” power opti mizing system features and the monitoring of the deployed system on an existing building. We examine the produced energy for a given time period.
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Examining the employees and sectors of the economy according to the digital competence in the EU memeber states
344-357Views:453In this study, the challenges of digital development and its sectoral effects were examined between 2015 and 2017 in the EU Member States, based on data of OECD, Eurostat, and the World Bank. The connection between the countries' digital development and sector dominance was analyzed. I found - in line with international research - that in countries that belong to the developed group, the high value-added service sector is dominant. The statistics of developing countries’ supported the assumption, that industry is the engine of the economy. The analysis of the underdeveloped countries revealed that agriculture and industry are the most important sectors compared to other countries. Measuring the demand of developed countries for ICT professionals, I examined the relationship of individuals with different digital competencies to one kind of self-education. In line with international research, my database showed that digitally unskilled people are the least likely to take advantage of online courses. As a continuation of the research, it would be worthwhile to carry out this study in other economic areas as well. Especially in areas where salaries for high-digital occupations do not differ significantly between countries in the region.
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Demand and Supply in the Talent Market
142-149Views:455In Hungary, the emergence of a talent market for organizations is due to the growing demand for talented workers. The talent's definition, the exploration of the factors affecting the talent market's demand and his supply are necessary to the overview. With the emergence of the talent market, we will also carry out an important analysis of the changes in the labor market in Hungary as well as the shortage of labor shortages. In the labor market today, different generations are present, who have different expectations for their employer and work environment. The lack of skilled workers is attempted by organizations with different methods. One of these is the ability of companies to become a talent-magnet, resulting in a higher number of employees in their area of activity. In areas where labor shortages are high, more and more attention is paid to automating processes. During the research, I worked on the related literature and studies to determine the factors influencing the talent market.
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The Relationship Between Sports Civic Organizations and Human Resources
146-154Views:386Every spring the Hungarian Central Statistical Office records through its ELEKTRA database system the human and economic related operation data of the past year of civic organizations. This data source is usually considered as a standard at the evaluation of the domestic civic sphere. Still, the available handout titled “Most important features of the non-profit sector”, applying mainly descriptive statistics only provides a brief picture of specifications of the sector. Parallel with it, its background database is available yearly, which provides a unique possibility for a researcher to perform secondary analysis aiming to reveal deeper relationship. The objective of our study is purely to reveal a minor part of this considerable field, the relationship between subsidies and human resources mainly due to the fact, that human resource in this sector is composed of employees and volunteers, and it is questionable whether subsidies have an impact on employment. Results revealed that there is a relationship between human resources and subsidies, where mainly private nature subsidies have a strong impact equally on voluntariness and work related employment
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Design and Implementation of BHN Testing Equipment To Measure Remaining Stress Of Wheelset Parts (Tie Rod and Stabilizer Bar)
337-341Views:377Nowadays in the automotive industry both production and service, requires accurate lifetime calculations. Today we have big amount of theoretical background and nowadays the importancy of technical and industrial databases become more and more important. By materials scientific and fracture mechanics aspects are well covered, but the remaining stresses which are present in every step of production, we can not clearly identify the origin of them. There are different paralell methods to mesure them, but the application of different methods are depending on the engineers, and their expreiences at the company. This part of the analysis is not standardised yet, so there are differences even in the same company.
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Survey of the Dynamic Modeling Methods of Light Vehicles
723-727Views:462Vehicle dynamics models can be classified into two groups based on the model simplification. There are simplified models based on neglections, these models do not contain all body directions: longitudinal, lateral and vertical directions. There are several reasons for the simplification: control, estimation and analysis methods can be used only with simplified models, or another reason is the computational cost. Apart from simplified models, there are detailed/truth vehicle dynamics models which aim is to provide a virtual plant of the real vehicle for virtual prototype-based development. In this paper, some simplified vehicle models are presented, after a short introduction.
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Case Study of Unilever's Zero-Emission Target Realization
16-36Views:1262This paper presents a detailed case study of Unilever’s strategy and progress toward achieving zero carbon emissions, focusing on Scope 1, 2, and 3 emissions. The study analyzes a 10-year time series of both financial and non-financial data to assess the relationship between sustainability indicators, such as greenhouse gas (GHG) emissions, total and renewable energy use, and the company’s operating profit. Forecasting techniques were applied to project future emission levels based on historical data, while correlation analysis was used to evaluate the relationships between key variables. The results show a strong positive correlation between total energy use and CO₂ emissions, highlighting the importance of energy efficiency in emission reduction efforts. However, no significant correlation was found between operating profit and CO₂ emissions or energy use, suggesting that sustainability initiatives have not yet had a measurable direct impact on profitability. Despite this, Unilever has demonstrated substantial progress toward its climate targets, including a 91% reduction in CO₂ emissions per ton of production (compared to a 2008 baseline) and the transition to 100% renewable electricity in many of its facilities. The study concludes that while sustainability measures may not immediately influence profit margins, they are essential for long-term competitiveness and corporate responsibility. This case provides valuable insights for firms aiming to integrate environmental performance into strategic decision-making.
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Water Shortage in Jordan
277-286Views:791Water shortage in Jordan is considered to be one of the main challenges that face the country throughout the years. In this manuscript all aspects of this issue will be highlighted. In this article, first, the water situation inputs, contests and outputs will be discussed. Secondly, there will be a detailed study about the ‘WADI AL-ARAB’ Project which is funded by the European Investment Bank and managed by the Yarmouk Water Company, its missions, assets and workflow. Finally, the Improvement of Energy Efficiency in the water sector, project aims, framework, and the major findings expected as a result of these analysis will be highlighted. This document presents the essential elements of a work that required a long time, an enormous effort and a hard work to collect all the data from several sources such as the Jordanian Ministry of Water and Irrigation (MWI), the Water Authority of Jordan (WAJ) and the European Commission (EU Official Website) and analyze them. Also, all the information listed about “WADI AL ARAB” Project was collected from multiple site visits.
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Analysis of Activity Times in the Process of a Wooden Box Manufacturing
475-484Views:341The main target of companies is to earn money and achieve profit. In order to fulfil these needs, companies have to reduce their costs. Cost reduction is often associated with bad quality products, but it could be done in a different way. Sometimes it is enough to examine only their own processes and then benefit from the process optimization, process improvement or process scheduling. In this article a case study is presented, in which the differences in a production scheduling are evaluated with the application of Monte-Carlo simulation and descriptive statistics. At the end of the paper the most efficient material sequence is selected at the manufacturing company by using weighted sum model
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Business Process Development with the Application of Simulation Technique
109-118Views:399The object of our work to increase production efficiency with the use of cost-efficient development tools at a Hungarian small enterprise. We apply data gathering techniques besides process modelling and diagnostic methods to reduce the total process time of the assembly process so as to induce cost reduction in the production. In this respect we investigate and rank root causes of wastes by cost-effective process development tools, like timebased FMEA (failure mode and effects analysis) as well as the 5 whys method. With the use of Monte-Carlo simulation companies can evaluate the change in the process, therefore, they can decide whether they want to carry out corrective measures or not. The accomplished changes can generate increasing competitive edge in the long run.
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Quality Development of a New Type Pharmaceutical Formulation
112-127Views:466The aims of companies to understand internal and external customer demands in order to improve their existing products and develop new ones. Product development aims at understanding customer demands that may influence the production of the product to be manufactured. As a first step in the process, the customer voice method was used to define demands with measurable parameters. A questionnaire survey was used to prioritise them, which were then compared and ranked using a preference matrix. Within the QFD method, technical parameters influencing the satisfaction of customer demands were determined. A correlation matrix was established and the relationship between the technical parameters was investigated. A competition analysis of technical parameters and customer demands was carried out. From the absolute and relative weights, it is easy to establish the order of the technical parameters, so that the most important parameter in terms of meeting the defined customer demands is the determination of the ratio of raw materials, and important parameters are chemical stability, pharmaceutical formulation and particle size.
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Examination of macro- and micro elements in the artificial bathwater samples
61-69Views:379During our research, micro- and macro element content of synthetically produced bathwater was examined. Previous studies, which were conducted at the Department of Environmental Engineering at the Faculty of Engineering, University of Debrecen, proved that the quality of domestic greywater is greatly varied. This diversity can also be observed in the case of greywaters. The examination of bathwater samples covered the contentanalysis of Al, Ba, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Sr, Zn, Ca, K, Mg, Na, Li elements with the application of MP-AES method. The analysis of greywater’s micro and macro content is essential part in the control of irrigation systems, flushing as well as car washing, because its heavy metal content can have a significant effect on the environment. In this study, we would like to present the concentration values of micro and macro elements of the examined greywater samples. Furthermore, we would like to make a comparison among our result, previously examined greywater samples and drinking water samples, too.
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Advancing Maintenance 4.0 through an Asset Management Framework: a South African Petrochemical Industry Case Study
1-20Views:322The rapid advancement of digital technologies has raised uncertainty about the adequacy of traditional maintenance models to meet Industry 4.0 requirements. This study develops and validates an asset management framework to support the South African petrochemical industry’s transition to Maintenance 4.0. The framework was validated through a quantitative survey conducted within a leading petrochemical company in South Africa, ensuring its practical applicability. Descriptive statistical analysis confirmed 15 of 17 framework characteristics and supported five of seven theoretical propositions. Key enablers of Maintenance 4.0 adoption include the integration of human intelligence, machine learning, and real-time data, as well as the role of organizational culture and asset resilience in shaping outcomes. The study offers both theoretical contributions and practical guidance for maintenance professionals seeking to align maintenance practices with Industry 4.0 principles, with relevance extending beyond the immediate case context.
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Transformation of the Decisional Leadership Role
26-40Views:457Leadership decision-making is important for the successful functioning of organizations, so it is necessary for leaders to understand the factors that impact their decisions. Decision-making is always the responsibility of the leader, but in a changing world, it becomes an even more crucial factor for success. Making good decisions requires time, experience, and thorough problem-solving skills. In my research, through the analysis of scholarly sources, I have identified several role factors that clearly influence the decision-making process and its implementation. Furthermore, I have developed a self-designed questionnaire to examine the decision-making role in modern organizations. I analyzed the data from 230 respondents using various statistical methods. Based on my findings, conflict management, risk-taking, and a thorough understanding of the problem strongly determine leadership decision-making processes. The ability of leaders to effectively manage conflicts significantly impacts their decisions. Risk-taking is also of key importance, as leaders need to recognize the risks associated with a given situation and make decisions accordingly.
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Why do not people attend football matches in Hungary?
11-22Views:557Both international and domestic research on passive sport consumption focuses on the motivations of fans. However in Hungary, unlike the examples of North America and Western Europe, we have to look for answers to the question of why people do not go to football matches. In order to find an answer to this question, we conducted an online survey with a number of items of 347 people. For the latter a scale measuring absence from sport consumption was used and the reliability of the scales was tested by Cronbach's alpha calculation. After our principal component analysis, we developed 5 internal and 5 external factors, on which we conduct hypothesis test along demographic and sports consumption variables. Based on our results, we have established that, contrary to public opinion, the low number of spectators in Hungarian football matches is not only and primarily due to unsucces and the low quality of matches. Our respondents are mostly kept away from stadiums by football-related government measures, as well as by preferring to participate in other recreational program opportunities.
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Parametric Programming Applied to the Optimal Production Structure in Determining
375-389Views:287The agricultural planning often the question arises, how the different input (fertilizer, feed, irrigation, etc) from what to use on a production (land, animals) unit basis, and to what intensity. The input transformational efficiency experiments by setting analysis and evaluation. For example examined the nutrient replenishers fertilization experiments, the effect of nutritional values of the feed on the body weight gain, milk production in animal experiments. The input input efficiency to the external environment (weather, soil conditions, unexpected events), the technology used and the biological factors both influence. The farmer must be chosen in each sector, taking into account the magnitude of these inputs and environmental requirements. The economic optimum is usually trying to approach the sectoral level, which serves as the basis for future planning data. The mathematical programming models using relatively simply and quickly determine the optimal production structure. The models provide the specific resource requirements for, and the limitations of the objective function coefficients are calculated on the basis of sectoral. This becomes a deterministic model, and we can get the appropriate sectoral analyzes outstanding results of production structures. Therefore the relationships within sectors directly incorporate mathematical programming model and corporate interests placed above the interests of the industry to determine the intensity of the sectoral inputs. in their article a fertiliser application example, we present the production structure and the plant production sector fertiliser input of a time optimization, in which the fertilizer for specified sectoral relationships appear in the model objective function.
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The implementation of Balanced Scorecard System in social enterprises using the social-cooperatives – compliance with the needs of external organisations
300-317Views:437To discover the major economic problems of social cooperatives, we have made a survey. The analysis of this survey stated that the quality of available labour force and the finding of the proper target markets are the biggest concerns of social cooperatives. By this survey a Balanced Scorecard model (BSC) was implemented, which is an adaptation of Bull’s model (Bull, 2006). Present paper demonstrates the BSC modul to satisfy the needs of external partners and authorities. These needs and the tracing indicators were determined, furthermore the frequency of the indicator measurement was also proposed.
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The Role of Indonesia’s National Health Insurance Cadre: A Case Study in Bali
1-16Views:440The management of informal sector participants poses the most significant difficulty to universal coverage attempts throughout Indonesia's National Health Insurance era. As a result, in April 2017, BPJS Kesehatan established the JKN Cadre Program. This program intends to expand the number of participants while also improving the collectability of contributions from the informal sector. This study aims to investigate the role of the cadre and explore the supporting, and inhibiting factors of such a program. This study is a qualitative descriptive case study, with data gathered through in-depth interviews. Informants were chosen purposefully. Thematic Analysis was utilized to examine the data, which Source Triangulation subsequently confirmed. The study found that the JKN KIS cadre has five functions, the most important of which is to remind people and collect contributions. Cadre activities included education and outreach, as well as collecting payment arrears receipts. The study also identified three inhibiting and supportive elements for the role of cadre namely individual, environmental, and organisational factors. To reduce unfavourable perceptions of JKN-KIS, it is vital to increase cadre self-actualization, self-esteem, information dissemination, synergy, and quality.
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Food Security and Economic Growth: An Income Level Comparison
16-29Views:368Food security is a fundamental but often neglected aspect of economic growth and sustainable development. This paper examines the effect of food security on productivity (GDP/capita) over time, while taking the income level of various countries into account. Dynamic panel regression analyses suggest that food security is positively related to productivity, but this effect is stronger in more developed countries. The study highlights the complexity of the economic problems faced by the least developed countries, where increasing the consumption and supply of food is insufficient for significantly increasing economic performance.
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Use of IoT Tools to Support the Decision-making Process
125-141Views:453Nowadays sensor networks and other systems, based on the IoT concept demonstrate the benefits of their usage, which includes the support of the decision-making process, therefore achieving an optimal result in the context of more and more fields. In this experiment, an additional sensor network has been developed based on a modular system derived from a previous development by means of a target-specific modification of the required modules to measure environmental data in a drying chamber used in food industry. The main objectives include the development of the device, the verification of the measurements of the factory-built device, providing an interface, which is able access the measurement data and after gathering experience from the usage, further developing the system and extending the functionality of the web application. The built-in data acquisition and control system stores the data of the measurements in the form of text files, while our additional data acquisition and control system uses a unified measurement database to store the data. According to the structure, a task-specific application has been developed in order to unify the two sources. Analysis of collected data was performed after running the ETL (extract, transform, load) algorithm converting the transaction-oriented database. The experiment shows so far the benefits of the multi-point measurements by a significant difference between the measured values, so we certainly consider further developments.
