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New Research methods of Sales-Marketing Interfaces
160-183Views:504The energy invested in research in this topic is justified by the fact that the lack of optimal integration between SM (sales-marketing) can negatively affect overall corporate efficiency. The aim of this article is to present possible research methods that can reveal the impact of selected indicators, such as information exchange, coordination, vision and communication, conflicts, on the operation of the SM interface, according to Hungarian and foreign employees of international companies, and how they affect sales and marketing collaboration between pharmaceutical companies (PMC) and non-pharmaceutical companies (NPMC). It also attempts to demonstrate how the Partial Least Square (PLS) path modeling technique can provide valuable information on the consequences of management activity, and how the methods provided by Voyant Tools provide further research through quantitative analysis of qualitative data on the marketing sales interface (SMI), they can open up opportunities. The PLS-PM modeling technique was used to explore the relationships between the selected factors and possible hidden variables. These results clearly demonstrate that there are factors that influence SM collaboration that operate differently in PMCs and NPMCs, and that nationality differences can have a significant impact on how employees evaluate factors that affect SM collaboration. Of the methods we selected by Voyant Tools, the t-SNE (t-Distributed Stochastic Neighbour Embedding) tool proved to be the most sophisticated analysis, allowing the deepest analyzes by exploring relationships between groups of terms. -
Performance Management Innovation is a Medium-Sized Enterprises of Light Industry/
1-9Views:368To achieve the strategic objectives of the management of a company, has to monitor and coordinate continuously the tasks of the employees, they have to do to reach the targets. In this action, sometimes the management of the company has to make corrections in the work and motivations of the employees. This article presents a case study carried out on a medium-sized companies working on the light industry field. It presents a new motivation system for the employees to increase up those products, for those who are at the bottom of the producing rankings of the company, moreover to develop their performance to reach the average level. Here has to be mentioned that, the employees at the bottom of the performance rankings producing under the average levelobligates totally the same amount of circulating and standing capita of the company, lead to the intervention of the management. The norm based requirements within the framework of the production system were completed to provide the more efficient working of the employees, besides strengthen their skills and their loyalties to their colleagues. As a result of the innovation of the performance management the product of the employees standing at he bottom of the rankings increased up considerably. It has manifested formerly in the decrease of the pointing error fixed to the personal monthly norm, moreover it showed the catching up of the employees standing at the bottom of the ranking to the middle. The case that the employees at the bottom get closer to the others in the middle of the ranking helped to contribute to achieve the strategic objectives of the management through reducing the average cost of the producing, since increasing the budget of the producing activities.
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Manufacturing Process Optimization and Tool Condition Monitoring in Mechanical Engineering
72-89Views:403The optimization of manufacturing and production processes with various computer software is essential these days. Solutions on the market allow us to optimize and improve our manufacturing and production processes; one of the most popular software is called Tecnomatrix, which is described in this paper. Tool condition monitoring is a vital part of the manufacturing process in the industry. It requires continuous measurement of the wear of the cutting tool edges to improve the surface quality of the work piece and maintain productivity. Multiple methods are available for the determination of the actual condition of the cutting tool. Vibration diagnostics and acoustic methods are included in this paper. These methods are simple, it requires only high sensitive sensors, microphones, and data acquisition unit to gather the vibration signal and make signal improvement. Extended Taylor equation is applied for tool edge wear ratio. Labview and Matlab software are applied for the measurement and the digital signal processing. Machine learning method with artificial neural network is for the detection and prediction of the edge wear to estimate the remaining useful lifetime (RUL) of the tool.
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Polylactic Acid as a Potential Alternatives of Traditional Plastic Packagings in Food Industry
123-129Views:481Huge quantity of synthetic polymers is used as packaging materials in different fields of food industries. A significant part of these polymers applied as a primary, direct food contact construction. The scoped application area is the sweet industry. In this field Polystyrol (PS), Polypropylene (PP) and Polyethylene terephthalate (PET) have used but during the last fifteen years the usage of PET has been grown. In one hand the price of this material is efficient, form other hand the PET is the one of the most safe (for food industrial applications) petrol chemical plastic that can be used as primary or secondary food contact packaging material. To maximize the customer safety and minimize the environmental impact of traditional PET, a new bio-sourced and bio-degradable alternative polymer aimed to be used in this special food industrial segment. One of the potential alternatives is the Polylactic acid (PLA) that would be a possible substitute as it is compostable and produced from renewable sources and has good physical and mechanical properties [1].
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Possible ways of IP Commercialisation in the European Higher Education Ecosystem
56-74Views:476Strong links between universities, and companies can play crucial role in promoting taking into practice of ideas that drive the knowledge society, and in raising competitiveness and living standards. In academic terms of IP management, all activities aimed at sharing knowledge generated in research institutions as a knowledge transfer including scientific publishing, conference presentations, collaborative research with external partners, and contract-based clustering activities, such as licensing and spin-offs. In a narrower sense, the IP management means technology transfer is aimed at placing a given technology on the market, and includes any process by which the recovery partner becomes able to produce new products or services. IP with traditional university mission, values, and activities primarily focusing an active university role in entrepreneurship and contracts with private sector for IP commercialization. This paper gives a comprehensive overview about IP management in universities of the European Higher Education System including the following aspects: partnerships (licensing, industry collaborators); IP invention (disclosures, patenting); proof of concept research bridging the gap between lab discoveries and market application (highly innovative R&D to solve practical problems and commercialization research aiming patented technologies towards business exploitations) and commercialization (start-up incubators and strengthening the entrepreneurial attitudes and competencies). The methodology based on secondary research analysing EU, OECD, on-line literature sources and relevant, up-to date statistical data as well. The conclusions and recommendations based on this „desk research” work reflects the authors.
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Investigation of the Luxury Yachts Condition and Their Maintenance
95-105Views:361Surveying the condition of yachts and their maintenance is of great importance for their functionality and efficiency. Finding the right approaches, expertise at different levels, design benchmarking are essential for all yacht maintenance and security, resulting in crew and passenger safety. This report presents an evaluation and expertise in a real environment and documentation of decision-makers for the strength and functionality of a luxury motor yacht. For a good understanding of the problem, detailed photographic material has been documented showing in detail the required technical corrections. The research would be of interest to a wide range of yacht design and industry professionals, academic and research representatives, yacht users and all interested stakeholders.
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Prediction of FLD using Abaqus and Gurson Model for Simple Flat Spacemen
32-44Views:221In the past century, in many industries, such as, metal forming industry, it has been important to predict ductile damage and fracture of metals under complex loadings. Regarding damage mechanics, one of the most classical models is the GTN, which was originated from Gurson and later enhanced by Tvergaard and Needleman. The inprovement was achieved by introducing an equivalent void volume fraction f and two more parameters called q1 and q2 into the yield function of Gurson’s model.
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VET 4.0 and Vocational Teacher Training
12-23Views:239Vocational Teacher Training is a small but important element of the regional industrial development. Nowadays the state-of-the-art industrial organisations and processes generate new jobs and positions, and additionally, need new competences. To be able to establish the successful carrier of young professionals these requirements have to be taken into consideration. Teacher Training Programmes of Universities provide new generations of Teachers of Engineering and their approach will determine the nature of the teaching process at VET (Vocational Education and Training) schools. Universities have to adapt to the current requirements of the industry and have to support VET with updated curriculums and training methods.
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Digital Twin and Shadow in Smart Pork Fetteners
515-520Views:414This paper introduces our ongoing research in the field of smart livestock farming. The base idea in this research is to take some industry based concepts, and adapt them into agriculture. In Industry we live the fourth industrial revolution, which is not a technical, but an organization revolution. So in this concept there are two key ideas, which are digital twin, and digital shadow. This article is about creating digital twin and digital shadow of a modern pig fattener. These models are based on the literature, and are identified on the data shared in these. However, these models can’t be used on real systems before identifying them on the actual circumstances. At this stage of research only digital twin of the product was created, and only some aspects of it. This however can simulate an average porkers feed consumption, weight growth and calculate the weight on certain stages of breeding. Further development is ongoing and our target is to make a fully functional model of a pig fattener.
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The Future of AI-Integrated Project Management: A Structured Literature Review Based Risk Identification
1-27.Views:51The evolution of AI is changing the landscape of project management. The integration of AI into project management brings many advantages, yet it is also accompanied by prominent weaknesses and serious challenges. In addition, rapidly evolving technologies continue to transform the field’s dynamics. These evolving dynamics result in ambiguity about the current state of the field, and consequently, create an uncertainty regarding a roadmap for future advancements. The purpose of this paper is to address this challenge by developing a well-grounded conceptual insight that identifies the risks associated with AI adoption in project management, guiding both academia and industry towards a structured approach to its future advancements. This paper conducts a detailed structured literature review, adhering the PRISMA protocol, to evaluate the impact of AI on key facets of project management, its potential benefits and implementation challenges. Then it analyzes the literature and synthesizes the key findings. Finally, it conducts comprehensive analysis to identify both positive and negative risks i.e. opportunities and threats. This in-depth analysis and its findings enable us to understand the nature of the risks, and how those can be harnessed or mitigated to advance the field. Furthermore, it provides both academia and industry the foundation to plan improved risk mitigation strategies and to develop a structured adoption framework. This study is expected to make a significant contribution to the advancement of the field.
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Utilisation and Quality Management of Power Plant Fly Ash
329-337Views:314Over the past decades, both the residential and industrial energy demand has increased due to the continuously growing consumption and production. As a large share of the electricity is still produced using fossil fuels, the utilisation of the by-products is a contemporary and pervasive issue. Fly ash is generated in large quantities in coal-fired power plants and has been proven to be an appropriate raw material for various industrial uses. Among others, it is applicable as an additive and lightweight aggregate in the cement and concrete industry, can be used for CO2 sequestration, glass foam production, catalyst production, or as a base material for geopolymers, as well. Geopolymers are inorganic polymers produced via the reaction between solid alumina and silica containing or alkali silicate materials in alkali media. Due to their numerous advantageous properties and wide variety of utilisation possibilities, research on fly ash base geopolymers became widespread topic. The quality of fly ash is determined by technical requirements, and the degree of quality control requirements depends on the final use. In certain fields of applications, standards and regulations have already been created to ensure the consistent quality of the final products made from fly ash, e.g. in the cement and concrete industry. There are various methods for fly ash processing, however, the methods to achieve the necessary properties are not standardised.
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Introduction to Design and Analysis of Torsional Vibration Dampers in Vehicle Industry
310-324Views:463The crankshaft of today’s internal combustion engines with high performance output are exposed to harmful torsional oscillations originated from the unbalanced gas and inertial forces. To avoid the fatigue damage of engine components, caused by the undesired vibrations, torsional vibration dampers can be applied. Viscodampers are one type of the torsional vibration dampers, which operational fluid is silicone oil. For cost-effective R&D activities and production, finite element and finite volume numerical discretization methods based calculation techniques must be involved into the engineering work supported by the modern computer technology. The aim of this paper is to provide an insight into the multidisciplinary design and development process of visco-dampers in vehicle industry applications. Four different examples as structural, fatigue, CFD analyses and structural optimization have been introduced in the present work. It turned out from the static structural and fatigue analyses, that the investigated damper has safety factor over the limit for both static structural and fatigue analyses, so it is suitable for the given load conditions. In the structural optimization process 34.36% mass reduction has been achieved. According to the coupled fluid dynamic and heat transfer simulations a rather stagnating air zone evolved between the engine and the damper during the operation, which can cause efficiency reduction of cooling fins mounted onto the housing. In light of the numerical results, the suitable damper position has been determined for the highest heat transfer.
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Long Container Dwell Time at Seaport Terminals: An Investigation Study from a Consignee Perspective
Views:730Many companies are concerned about the problem of increasing average dwell time for their import containers at the port of the final destination and therefore incurring additional shipping costs in form of demurrage charges for the port administration and detention charges for the shipping line. Previous studies have addressed this topic by analyzing terminal operations and evaluated its effects on port productivity and competitiveness; however few studies have explicitly explored long container dwell time causes from a consignee perspective. This research aims to identify the causes of long dwell time for the import containers at port storage yards for one of the leading FMCG companies in Jordan. To that end, the data of import containers whose stay at the terminal exceeded the free storage days in the period between 2019 and 2020 were collected by referring to the set of shipping documents and reviewing the correspondences between the consignee and other parties in the supply chain. Based on the timelines that have been analyzed for each case of delay to the collection of shipping documents in consideration with the payment terms, as well as the clearance and delivery timelines, ten causes for the long container dwell time have been identified and classified into three main categories according to the types of flow in the supply chain; five causes related to information flow, two causes related to cash flow, and three causes related to physical flow. The impact of these causes has been evaluated using the demurrage and detention charges as a measure indicator and the findings of this research have also revealed that the causes related to cash flow have a greater impact than the other types of causes.
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Inbound and Outbound Tourism in China: A Perspective Article
91-107Views:885The tourism industry in China has undergone significant changes due to globalization, technology, and changing consumer preferences. This perspective article, based on a systematic literature review, examines examines trends, challenges, and opportunities in inbound and outbound tourism in China, focusing on the industry's dynamism. Both inbound and outbound tourism have been negatively impacted by the COVID-19 pandemic, which has prompted new strategies and environmental adaptations. China has changed its priorities within the country to encourage domestic travel and support local firms. The rise in internationalisation and the growing middle class in China have led to an unprecedented rise in outbound travel. Chinese travellers are affecting travel habits and spending all around the world in the tourism sector. Language barriers, cultural differences, and safety concerns are some of the challenges that come with travelling abroad. To reach its full potential, China needs to adapt to the shifting global environment and take into account the specifications and preferences of both inbound and outgoing tourists.
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Battery Measurement Methods and Artificial Intelligence Applied in Energy Management Systems
428-436Views:258Diagnostics of batteries using advanced methods have gained remarkable roles in the past few years. This study focuses on the type of measurements, tests and methods to reveal and classify them. During manufacturing and operation several faults could emerge in batteries including non-optimal operation conditions, operators without experience, and finally, random changes in batteries under physical and nonphysical conditions. Improper handling of batteries and battery cells man cause operation failures or, in the worst case, accidents. To reveal these problems several methods are applied in industry and in scientific laboratories. For a comprehensive analysis of battery management, artificial intelligence and Industry 4.0 methods can be used very effectively. Big Data analysis in its standard form is not a new achievement, but other mathematical tools could be applied to control monitoring such as Fuzzy Logic or Support Vector Machine (SVM). They are efficient tools to analyse the deviation of batteries condition because it can detect sudden changes, parameter deviations and anomalies, and the user’s behaviour and habits. This article gives a description about the most important battery testing methods and the connection between Big Data and Operation Management with Artificial Intelligent (AI) methods.
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Examining the employees and sectors of the economy according to the digital competence in the EU memeber states
344-357Views:368In 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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Literature Overall of Fatigue Analysis Approaches of Vehicle Components Made of Rubber
130-140Views:271Generally, the most frequently used structural materials are metals which have high strength and stiffness. However, there are many cases when other important properties come to the front, as well as high deformation capacity with elastic behavior, high viscosity namely good damping effect. Due to its above mentioned properties, rubber is widely used in vehicle and automotive industry. Vehicle components made of rubber usually exhibit large deformations. Cyclic finite deformations generate temperature in hyperelastic materials. Furthermore it is necessary to take into consideration the effects of ambient temperature. The mechanical properties of rubber depend on temperature and temperature changes can accelerate chemical alteration processes which lead to the material deterioration and fatigue processes. Research on fatigue behavior and fatigue properties of rubber has a great significance for predicting fatigue life and improving durability of rubber products. There are several studies on the fatigue behavior of rubber-based materials, but there is less research in the fatigue life prediction considering the influence of temperature and temperature changes. First purpose of this paper is summarizing the influence of temperature and temperature changes on the fatigue behavior of rubber. The second purpose of this study is to provide an overview of the state of the art on the fatigue life prediction of rubber with primary focus on the different methods available for prediction of fatigue life under the influence of temperature and temperature changes.
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Defect Analysis of Bearings with Vibration Monitoring and Optical Methods
1-12Views:278Diagnosis of bearings with advanced methods gained remarkable roles in the previous years. This article focuses on the manufacturing defects and methods to reveal and classify them. During manufacturing several faults could emerge because of the grinding operation, tool wear and chatter vibration. Inproper handling of the bearing parts because of the collosion to each other and the storing box that causes deformation. To reveal these problems several methods are applied in industry. For deeper surface analysis nitric acid can be used to initate the finished surface of the roller then natrium-carbonate that nautralize the elements. Vibration analysis in its standard Fourier form is not a new achivement but other mathematical tools could be applied to condition monitoring such as wavelet transform. It is an efficient tool for analyzing the vibration signal of the bearings because it can detect the sudden changes and transient impulses in the signal caused by faults on the bearing elements. In this article five different wavelets, Daubechies, Gaussian, Coiflet, Mexican hat, Meyer are compared according to the Energy to Shannon Entropy ratio criteria to reveal their efficiency for fault detection.
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The Impact of Electrical Vehicles on Sustainability: Jordan as a Case Study
393-403Views:329The Global concern is moving toward making a revolution in favor of exploitation of renewable energy in order to improve environment conditions, limit emissions and minimizes consumption of non-renewable resources within the planet. In this context, it is necessary to focus on the transport sector as it contributes of at least 30% of the total primary energy consumption. Therefore, a set of rules must be developed to maintain economic, environmental and social sustainability to address the problems so as not to increase their severity and these cannot be done unless there are joint measures and regulations from governments, companies, manufacturers and users. Unfortunately, the Jordanian transport system mostly depend on the individual transport which supported by cars, and that because of the weak role played by the public transport sector, especially at the capital, Amman. Buying hybrid cars (internal combustion engine + electric motor) and Electrical Vehicles (EV), in the past few years in Jordan is increasing, which is compatible with the global trend to use Electrical Vehicles (EV) instead of Internal Combustion Engine vehicles (ICE) powered by fossil fuels, this issue will have a direct and indirect impact on gas stations companies, also it will have direct impact on labor sector and the current car industry since electric charging stations as well as EV manufacturing is not labor intensive. The main purpose of the study is to show how much it is necessary now to start theoretical assumptions through studying the expected annual increase in passenger cars and its impact on sustainability and predicting the future fuel consumption and emissions and compare them with the base situation.
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Future Power Plant Portfolio Analysis from the Point of View of Minimum Cost and Emission Optimization
61-77Views:193The article examines the expected composition of the power plant portfolio in Hungary by 2030. The indicators considered are the life-cycle unit costs (LCOE) and the life-cycle specific carbon dioxide emissions (LCA(CO2)) of the power plant types. The minimum of these two indicators, as objective functions, is determined by a linear programming method for the power plant portfolio. The results show that the LCOE minimum for the power plant portfolios in 2030 is worse in absolute terms and better in specific terms than in 2021. In both absolute and specific terms, the LCA(CO2) minimum is more favourable in 2021. These results are met under the thirty and twenty-five percent electricity import scenarios. With twenty percent imports, the absolute values are worse and the specific values are better for both indicators. On the other hand, the results of the calculations for 2030 fall short of the 2030 Agenda of the Institute for a Green Transition. This is due to the delay in commissioning a new nuclear power plant and the transformation of industry with increasing electricity demand. For the portfolios under review, a minimum of thirty percent of domestic generation from renewable sources is met. This contributes significantly to the European Union's ambition for the sector to be net greenhouse gas-free by 2050.
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Improving the Work Breakdown Structure of the Plant Installation - Case: Asphalt Plant
174-187Views:520The improvement of the project management forced the industrial organizations to focus on using the project management techniques in their industry, to plan and control the workflow to achieve their targets, further to increase the satisfaction of their customers. One of the most common project management tools are used is the work breakdown structure (WBS), which provide a framework for the implementation of the project scope including project planning, scheduling, monitoring, control, and estimation. Depending on the top-down approach the project activities will be broken into smaller parts that can be measured and controlled during the project implementation. The well-defined construction of the structure contributes to making the project more realistic and visual. However, the misunderstanding of the project WBS among the project team creates deflection and misinterpretation of the project scope. The main issue of this research is to improve the WBS of the installation plan and develop a standard WBS for plant installation. The research was limited to Asphalt plant installation WBS as a case study to identify the weaknesses of the current WBS at the case company which leads to extra installation time and cost. The research is offering a template WBS based on the company logic, defining the frequent risks that affect the plant installation based on the WBS and suggesting a suitable response strategy by recommending a control framework to monitor and control the WBS schedule throughout all installation phases.
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Temporal Changes of Pyrite Oxidation Rate in Bolivian Sulphidic Mining Wastes
194-202Views:169Since the 70's, when huge sulphidic open pits were developed, the acidic rock drainage (ARD) become the leader problem of the sulphidic mining industry. Although the recycling is an essential technology, it cannot cover the demand alone, thus mining activity needs to continue. Acidity in mine drainage commonly requires most of the attention, but the main problem is the caused elevated level of metal mobility and leaching, which are generated by the increased rates of sulphide weathering under acidic conditions. The Itos mine is a polymetallic vein deposit in Bolivia, had been mined for silver and tin until 1990, leaving behind much and huge tailings and mine waste heaps, where quite often the pyrite content exceeds 10 %. Serious ARD effects take place in the mine waste heaps. These processes can be well characterized with the pH 1 or 2 of the seepage water, which forms serious alteration in the waste itself and the neighbouring rocks. In three consecutive years, the pyrite oxidation rate was investigated on the same 7 samples by humidity cell test. 5-6 months pauses were left between the humidity cell test periods, which mimics the alternation of wet and dry periods, typical for the place. The results give much more information, than the oxidation rate in the individual test periods, showing the changes by time. This applied method gave good result to characterize the behaviour of the waste in long-term. The column test was complemented with mineralogical analyses, such as electron probe micro analysis. The mineralogical and column test analyses show, that the changes of the pyrite oxidation rate split the samples into three different groups, one where the oxidation rate decreases, second where it increases with time and the third where oxidation rate is maximal and stays stable for several years.
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The Economic and Social Effects of the COVID-19 Epidemic in the European Union over the Past Year, Especially in Hungary
67-79Views:2285The apparence of the COVID-19 pandemic at the beginning of 2020 affected all countries in the world, entailing major changes in everyday life. In our study – in a one year perspective – we summerize the socio-economic effects of the COVID-19 pandemic on various economic sectors and their consequences for the European Union and Hungary. As a result of the pandemic restrictions the role of some sectors were decreasing considerably, while on the other hand the other sectors emerged and underwent a significant improvement. The growing trend of working from home, as well as the decline of the tourism, the catering service and the entertainment industry has led to a change in the behavior of the population. . Changes during the pandemic period led to an increase in wealth inequalities.Changes during the pandemic period led to anincreas in economic inequality. The transformation of consumers’ values and income situation is having an huge impact on all sectors of the national economy. When reflecting upon the current situation, the following questions arise: When will the declining businesses be able to recover? Will they be able to achieve their pre-pandemic profit level, and if yes, how long will it take them?
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Parametric Programming Applied to the Optimal Production Structure in Determining
375-389Views:209The 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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Consumer Perception of Electric Cars in Hungary – Theoretical Considerations and Empirical Results
1-23Views:955Electric cars are becoming increasingly popular in the automotive industry and among consumers; partly as a result of their environmentally friendly characteristics. The aim of the study is to compare the main characteristics of electric and conventional cars in the context of environmental protection. In the first half of the study, we present the life cycle of electric and conventional cars and we compare the overall environmental impact traditional an electric vehicles. We point out that although the operation of an electric car does not pollute the environment locally, the manufacture, charging and disposal of batteries required for operation raises several issues related to environmental pollution. In the second part, we examine the respondents' attitudes towards electric cars based on our own questionnaire research. On the basis of the answers, it can be said that consumers still consider electric cars expensive and are aware that electric cars address some pollution issues to a small extent.
