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Öğe Investigating energy consumption in hospitals by text mining method(Springer Science and Business Media Deutschland GmbH, 2024) Gökalp, Yaşar; Eti, SerkanEnergy consumption in hospitals can reach significant levels. However, it is essential to provide health services without compromising service quality. Accordingly, the need for energy cannot be ignored. Because hospitals need energy to provide services, therefore, energy consumption in hospitals is unlikely to be reduced to zero. Accordingly, efficiency is a more reasonable option. For this purpose, the Web of Science database is searched with the keywords “hospital” and “energy consumption.” These studies are analyzed using the text mining method with the KNIME program. As a result, the most recurring words are ranked as single, double, triple, and quadruple. The recurring words show that the studies are mostly on energy consumption and energy efficiency dimensions. For future studies, unit-specific energy consumption calculations and efficiency actions to be implemented accordingly can be presented as suggestions.Öğe Evaluation of psychosocial risk factors encountered for energy sector employees by MAIRCA method(Springer Science and Business Media Deutschland GmbH, 2024) Tepe, Serap; Eti, Serkan; Moda, Haruna Musa; Kahraman, ZeynebPsychosocial risk factors faced by those working in the energy sector is an important issue that can cause negative effects. These risk factors can adversely affect both the physical and mental health of employees and thus have negative effects on work efficiency and employee satisfaction. In this study, the renewable energy sector was evaluated in terms of psychosocial risk factors it presents to its employees. These risks include factors such as heavy workload, constant work demands, and time pressure. In addition, long working hours, irregular work schedules, and job instability are other factors that negatively affect the psychosocial health of employees. Psychosocial risks such as stress, burnout, job dissatisfaction, and job instability can negatively affect employee motivation and performance. Therefore, it is necessary to consider proactive measures aimed at prevention and management of psychosocial risks in the workplace. Reducing psychosocial hazards can be achieved by taking proactive measures around accommodating employees’ needs for frequent breaks and relaxation periods, helping them manage their workload and time, and setting up work schedules. Further assessment with regards prevailing psychosocial risk factors associated with working in the energy sector should be considered and appropriate measures taken for the health and work efficiency of employees. This will bring about a healthier and more productive work atmosphere in the workplace as well as improve the well-being of the employees. In the study, psychosocial risk factors in energy sector were introduced, and these risk factors for different energy sectors were evaluated using the MAIRCA method.Öğe Evaluating critical points for the improvement of nuclear energy investments via text mining methodology(Springer Science and Business Media Deutschland GmbH, 2023) Eti, Serkan; Gökalp, YaşarThe study aims to determine the developments in nuclear energy. In addition, it is aimed to determine strategies for future study and research areas. For this purpose, the studies in literature are included in the scope of analysis. In the literature, studies with the keyword “nuclear energy” in the web of science database have been taken into consideration. When the studies were examined, it was seen that there were 333 articles on nuclear energy between 1993 and 2022. It is seen that the studies on nuclear energy have increased after 2015. In recent years, the interest of researchers on this subject has increased and text mining methods have been used to determine the subject or topics discussed. As a result of the analysis made for the frequency of the words in the abstracts of the articles containing the keyword nuclear energy, it is seen that words such as renewability, economy, emissions, development, and growth come to the forefront. As a result, it is seen that academic studies on nuclear energy compare this energy source with renewable and clean energy. It is also concluded that they investigated the effects of nuclear energy on the country’s economy and its reflections on economic growth.Öğe SERVQUAL-based evaluation of service quality in Turkish health industry with fuzzy logic(IGI Global, 2020) Dinçer, Hasan; Yüksel, Serhat; Gökalp, Yaşar; Eti, SerkanThe aim of this study is to analyze the service quality in the Turkish health sector. In this context, a literature review is conducted, and 16 different criteria based on SERVQUAL are determined. Fuzzy DEMATEL method is used to determine which of these criteria are more important. The findings indicate that operating hours and quality of equipment have the highest weights. In addition to these items, experience of personnel and individual attention to patient are other important factors with respect to the service quality in Turkish health industry. Hence, it is strongly recommended that hospitals in Turkey should operate in an extended time because Turkish people prefer to go to the hospitals after working hours. It is also obvious that Turkish hospitals should make investment to quality equipment. Finally, it is a good idea for new hospitals to have qualified employee. This situation has a positive contribution to the service quality of these hospitals.Öğe Selecting the optimal clean energy projects for emerging economies(Springer Science and Business Media Deutschland GmbH, 2022) Eti, SerkanIn this study, it is aimed to determine the most accurate renewable energy investment alternative for developing economies. In this context, firstly, a very large-scale literature analysis was made. As a result, four different issues were identified that could have an impact on this decision. Financial analysis contributes to the determination of the efficiency of investments. Another factor to be considered in the selection of the optimal clean energy investment is customer satisfaction. Customer expectations should be taken into consideration when making investment decisions. Technological investments are also very important in this process because renewable energy investments involve complex engineering steps. Additional factor to consider in the selection of the most suitable renewable energy investment is personnel quality. By considering these four different factors, a decision-making model is created to identify the most optimal renewable energy alternative. For this ranking, the MAIRCA method based on expert opinion was preferred. The most optimal renewable energy alternative has been determined as geothermal energy. Secondly, biomass was determined as the most suitable renewable energy type. Geothermal energy and biomass energy types were followed by wind, solar and hydroelectricity energy types, respectively. It has been determined that hydroelectricity energy type is the most unsuitable renewable energy type. Considering the results obtained, it would be appropriate for developing countries to prioritize their geothermal energy investments. In this context, the types of risks encountered in this process should be determined. In addition, actions specific to these risk types need to be taken. This will allow the risks to be managed effectively. In this way, it will be possible to increase the performance of geothermal energy investments. One of the most important risks in geothermal energy investments is the damage of water resources. Otherwise, there will be significant reductions in water resources. This situation will cause some problems especially in agricultural production. Insufficient water resources will lead to a decrease in the production of agricultural products. Therefore, it would be appropriate to pay attention to this issue in geothermal energy investments.Öğe Analysing customer satisfaction of civil aviation companies of Turkey with text mining(Springer, 2020) Eti, Serkan; Mızrak, FilizThis study is aimed to determine the issues that affect customer satisfaction in mobile applications to airline companies. In this context, five of the largest airlines operating in Turkey (Turkish Airlines, Pegasus, Atlasjet, AnadoluJet, SunExpress) were included in the study. Customer reviews in the Apple Store application of these companies were provided. On the other hand, these comments were analysed by data mining method using KNIME program. Thus, the single word, binary word and triple word groups were determined the most in these comments. These words were then categorized according to their respective fields. As a result, it has been determined that customers pay attention to the functionality in mobile applications. In addition, technical competence ranks second among customer expectations. In this context, airlines need to offer different services in the online application in order to increase customer satisfaction. For this purpose, it is important that customers can access different issues such as purchasing tickets, choosing seats, different payment methods and obtaining tickets through mobile applications. This will both increase the satisfaction of the customers and increase the performance of the companies.
