The tax collected from taxpayers has a very important place in the financing of public expenditures and therefore in the services to be provided by the state to the citizens of the country. Therefore, developments in the number of taxpayers also play a major role in this regard. The aim of this study is to examine the change in the number of taxpayers in terms of certain taxes and to reveal the differences in the number of taxpayers in terms of liability types and geographical regions. In this study, the number of taxpayers of income tax, income withholding tax, real estate income, income tax taxed in simple method, corporate tax and value added tax between 2001-2022 are discussed. According to the findings, the biggest increase in the number of taxpayers by years has occurred in the income from real estate, while the least increase has been in the income tax taxed in the simple method. It was determined that the change in the number of taxpayers showed a significant difference according to the type of tax liability. In addition, it has been determined that the number of taxpayers in income tax, income withholding tax and corporate tax differs significantly according to geographical regions.

The Convergence Hypothesis, one of the basic assumptions of the Neoclassical growth model introduced to the literature by Solow, constitutes one of the most fundamental topics of economic growth literature. This hypothesis reveals that over time, countries with low income levels will converge to countries with high income levels due to reasons such as the decreasing productivity of capital and the gradual spread of technology. The aim of this study is to analyze the validity of the convergence hypothesis using the per capita income level data covering the period 1990-2021 for E-7 countries with the Cross-Section Extended Im, Pesaran and Shin (CIPS) panel unit root test. As a result of the tests, it was found that convergence was valid in E-7 countries. This result shows that the low-income countries in the E-7 country group will catch up with the other countries in the group in the long run.

In the tourism sector, the demands and needs of the guests can be different in line with their cultures, tastes, psychological structures and perceptions, which can make zero error-free service difficult. Dissatisfaction may be caused by the hotel service, employees, other guests or the guests themselves. The important thing is that wherever the dissatisfaction stems from, the problem should be solved immediately by taking a moderate approach to the guest, measures should be taken to prevent recurrence and guest suggestions should be taken into consideration. Because the reaction of the business to the guest can affect the satisfaction and behavioral intentions of the guests. From this point of view, the study aims to investigate the compensation strategies developed by a five-star corporate hotel operating in Antalya Belek region for guest feedback and the reflection of these strategies on guest behavioral tendencies. In the research, content analysis was carried out by using the documents of the guests who stayed at the hotel. A qualitative data analysis program ATLAS.ti 8 was used in the analysis of the data. As a result of the research, it was determined that different compensation strategies were applied by the business according to the degree of guest feedback, and the thoughts of the guests generally changed positively as a result of the compensation strategies. It has been determined that guests show behavioral tendencies such as thanking, writing positive comments on online review sites and agency surveys, giving high ratings to the hotel, choosing the hotel again, recommending the hotel to others, rebooking immediately for the next holiday, etc., while at the same time they show behavioral tendencies such as not reacting at all and seeing it as a task that the hotel should have done before. This study is expected to guide the tourism sector and tourism enterprises and help them develop solution strategies.

The conducted study the success levels of the 8th-grade students in the Secondary Education Institutions Central Placement Exam (LGS) was examined by data mining methods. The data used in the study are official data consisting of different attributes belonging to the students studying in the Aksu district of Antalya province. In the study, two different clustering method algorithms, one of the descriptive techniques of data mining, were used. Data analysis was performed on the dataset by using two-step clustering and K-means methods. As a result of the two-step clustering process, while 62% of the students were found to be in the 200-250 score band, students were divided into four clusters according to their success levels in the clustering process with k-means and the center score values of each cluster and a grouping process according to all students’ distance to these centers has been made. As a result of the analysis, it was seen that the school type, gender and the environment where the school is located were the dominant factors in student success.

In this study, it is discussed whether Elon Musks tweets about crypto assets cause herd behavior on crypto assets and the findings were evaluated within the scope of high and low returns, high and low volatility, pandemic period and nonpandemic period, within the framework of the dates Elon Musk tweeted and didnt. In the study, 17 currencies with the highest market capitalization as of July 2022, excluding Tether, Binance and USD Coin, were used and a total of 84 separate tweets were analyzed on 59 different days between 01.04.2019 and 14.07.2022. As a result of the study, findings revealed that Elon Musks tweets about crypto assets do not cause herd behavior in the crypto asset market, on the contrary, they causes reverse herd behavior in all other periods except the pandemic.

Debt policy is one of the decisions that a firm should consider. Managers should set a sound debt policy, taking the right risks and ratios into consideration to ensure the growth of the firm. There are factors that need to be taken into consideration when determining debt policy. These are the asset structure of the firm, firm size and profitability. The aim of this study is to determine the impact of firm growth, asset structure, and profitability on debt policy. Financial statement data of 312 firms traded on the BIST between 2012 and 2021 were used. Panel data analysis was conducted as the methodology in the study. According to the findings of the analysis, firm growth has a positive and statistically significant impact on debt policy. However, other independent variables have no statistically significant impact on the dependent variable.

The research component in the missions of higher education institutions emphasizes scientific productivity and research impact. The results of this research are directly related to other components such as education and training and societal contribution. To monitor both scientific productivity and research impact on a global scale and to access literature sources, scientific databases or indexing mechanisms have been developed. Web of Science, PubMed, Scopus, and Google Scholar are among the most prominent ones, and different field indexes and national databases can also be encountered. Indexes and databases can share large-scale bibliographic data with their subscribers, in addition to publishing their statistics, providing sources for bibliometric and related research that will reveal the general structure of the subject or area. In bibliometric analyses, dimensions such as scientific productivity, topic sets, trends, researchers, institutions, countries, journals, and citations are taken into account. In this context, the aim of the study is to reveal the scientific portfolio of Manisa Celal Bayar University in TRDizin with bibliometric analyses. The original value of the study is to examine the national level scientific productivity of the university through TR-Dizin and to demonstrate it with customized and interactive dashboards developed in a business intelligence environment beyond traditional software for bibliometrics. In the analysis environment developed, firstly, comparisons are perfored by presenting the position of the institution at the macro level among its peers, and then the breakdowns of the publication portfolio are evaluated according to bibliometric dimensions at the micro level. Thus, by examining the current dynamics of the institution, recommendations are presented for the improvement of productivity and collaboration opportunities.

In recent years, informatics has permeated every aspect of life. Information systems are used in many areas from entertainment interfaces to transactions in public institutions. The IT sector, unlike many other sectors, continues to grow even in the face of economic crises. The number of companies producing and exporting software in Turkey, especially in the field of software, is increasing every year. In order to train more qualified personnel for the sector, various transformations have taken place in the academy, and in recent years, specific departments and programs have been opened in the field of informatics for various fields of expertise. In this study, statistical information is given about the IT sector market size and employee information in our country, and superficial information is given about the undergraduate departments that train expert personnel in this field at universities in our country. The focus of the study is the Information Systems and Technologies undergraduate program at our state universities. In the study, student placement statistics and academic staff information of the 8 colleges/faculties where this program is carried out are shown in tables. In addition, the courses taught were categorized according to their content, the programs were compared according to the courses, and the suitability of the courses taught to the needs of the sector was examined. As a result, it has been concluded that the units teaching in this field at state universities in our country have prepared curricula at a level that will meet the demands of the sector. In addition, according to the data obtained, it is predicted that the number of qualified female employees in the field of informatics will decrease day by day.

The Convergence Hypothesis, one of the basic assumptions of the Neoclassical growth model introduced to the literature by Solow, constitutes one of the most fundamental topics of economic growth literature. This hypothesis reveals that over time, countries with low income levels will converge to countries with high income levels due to reasons such as the decreasing productivity of capital and the gradual spread of technology. The aim of this study is to analyze the validity of the convergence hypothesis using the per capita income level data covering the period 1990-2021 for E-7 countries with the Cross-Section Extended Im, Pesaran and Shin (CIPS) panel unit root test. As a result of the tests, it was found that convergence was valid in E-7 countries. This result shows that the low-income countries in the E-7 country group will catch up with the other countries in the group in the long run.

This study was conducted to determine the effect of societal gender perception of university students on their attitudes towards womens work. To this end, 422 university students continuing their education and training were reached. The data set gathered by using a data form in which socio-demographic information was measured, the Societal Gender Perception Scale developed by Altinova and Duyan (2013), and the Attitude Towards Womens Work Scale developed by Kuzgun and Sevim (2004). As a result of the study, it was found that gender perception positively affected the attitude towards womens work. In addition, students perception of gender differs according to gender, fathers education level, mothers occupation, fathers occupation and family type variables. Students attitudes towards womens work differ according to gender and family type variables.

In this study, it was aimed to conduct a Turkish adaptation study of the “The Workplace Gender Discrimination”. The research sample consists of 357 white-collar private sector employees working in the finance sector in the center of Isparta. “The Workplace Gender Discrimination” scale was used to collect data. As a result of the research findings, the Cronbach alpha coefficient of the scale was determined as 0,86. As a result of the exploratory factor analysis and confirmatory factor analyses, the construct validity of the unidimensional “The Workplace Gender Discrimination” was confirmed. The statistical findings obtained as a result of the study show that the scale was adapted to Turkish culture.

The aim of this study is to conduct a literature review and develop a proposition for the possible relationship between entrepreneurial intention and the need for dominance concepts. For this purpose, the literature on the concepts of entrepreneurial intention and the need for dominance has been reviewed and the information obtained has been compiled. As a result of the compilation, it has been seen in the literature that there is a relationship between various compilation, it has been seen in the literature that there is a relationship between various personality traits and entrepreneurship, and information about the differentiation of entrepreneurs from other individuals in terms of these features has been reached. Within the scope of the information that the need for dominance is also a basic personality trait, it has been evaluated that there may be a relationship between entrepreneurship and the need for dominance. The fact that phenomena such as entrepreneurship and dominance significantly affect the lives of individuals and that there are still deficiencies in these concepts in the literature make it necessary to examine the related concepts.