This study focuses on the coaching processes experienced by individuals. It is assumed that the coaching process and the behavior of seeking advice on coaching services will activate the situational motivation of individuals related to coaching, situational motivation will increase individuals’ involvement in these services, and this may ultimately result in a tendency to give advice regarding coaching. In order to analyze the relationships between these variables and the differentiation of demographic characteristics in terms of these discussed variables, responses were obtained from 270 participants with an online survey application included in the quantitative research method. The answers obtained were analyzed in the SPSS 24 program. As a result of the analyzes made, statistically significant relationships were determined between all the variables. Advice-seeking and the coaching process affected situational motivation, situational motivation affected involvement, and involvement affected the tendency to give advice. Demographic characteristics such as gender, age, education and income revealed significant differences in terms of some variables.

In this study, in addition to being an indicator in monitoring the current economic situation, the causality relationship between the economic confidence index, which allows to take precautions by early seeing the economic crisis and possible risks, and the export volume index and import volume index, which expresses the change in the export and import volumes when the prices are stable, have been investigated. During the analysis, the Fourier Granger causality test developed by Enders and Jones (2015), which also took into account the large number of smooth transition structural breaks in the data sets, was used. According to the results of the study, in which the monthly frequency data between January 2013 – July 2021 were discussed; A bidirectional causality relationship was found between the economic confidence index and both the export volume index and the import volume index. Empirical findings show that economic decision-makers should benefit from the changes in the economic confidence index in making import or export decisions. At the same time, these results reveal the role of changes in export volume index and import volume index values in terms of providing perspective to policy makers and creating political maneuvers in establishing economic confidence.

In this study, it is aimed to determine the mediating role of stress in the effect of emotional intelligence on online learning during the Covid-19 pandemic period. Data were collected from individuals belonging to the Z-Generation, who are actively involved in online learning at Karamanoglu Mehmetbey University in Turkey, using the questionnaire technique. Three scales were included in the questionnaire form used in the research. These are the “Emotional Intelligence Scale” developed by Salowey and Mayer, the “Readiness Scale for Online Learning” developed by Hung et al., and the “Perceived Stress Level Scale” developed by Cohen et al. In order to examine the relationship between the variables, a questionnaire was distributed to four hundred thirty six individuals by the snowball sampling method. The collected data were analyzed with the structural equation model (PLS-SEM) Smart PLS 3 statistical program using the Partial Least Squares method. According to the results; emotional intelligence affects online learning positively, and perceived stress negatively. In addition, it has been found that while stress affects online learning negatively, it has a partial mediating role in the effect of emotional intelligence on online learning. Even though some of the variables of the study were studied together in different studies, the fact that these variables were considered together for the first time reveals the originality of the study. Examining the online learning process, which is nowadays more important and valuable than ever before, and the effects of emotional intelligence and stress on it, and providing guiding and enlightening findings to policy makers and practitioners in the following periods constitute another value of the study

Researches on financial markets and the volatility of instruments in these markets have found a place in both national and international literature in recent years. With the effect of globalization, the price volatility of financial markets and instruments can affect other financial assets in many cases. As a result, these issues are important for capital owners and investors. The aim of this study is to examine the volatility interaction, transmission and correlation between Dollar, Euro, CDS and BIST 30, BIST Bank and BIST Insurance variables by using the CCC-GARCH model. The daily opening values of the related variables were used for the periods 02.01.2017-31.12.2021. As a result of the research, there was a volatility and correlation relationship between the BIST variables of the Dollar and the Euro, while there was a volatility relationship between the CDS premium and BIST variables, and no correlation was found.

The aim of this study is to investigate whether the attitudes of young people who have received social work education towards disabled people differ positively from those who do not receive social work education. The universe of this cross-sectional and descriptive study; It consists of young people living in the provinces of Burdur, Isparta and Antalya. The research was carried out between 06.04.2022 and 16.06.2022. The sample is; consists of 385 young people surveyed online. The data of the study were collected by means of a questionnaire. In the questionnaire form; Along with the questions about socio-demographic information organized by the researchers, the Multidimensional Attitude Scale towards the Disabled (EYÇBÖS), which was adapted into Turkish and evaluated in terms of reliability and validity by Yelpaze and Türküm (2018), was used. The scale consists of 3 dimensions: emotion dimension, thought dimension and behavior dimension. SPSS 25.0 program was used in the analysis of the data collected for the research. As a result of the analyzes made; It was determined that the positive attitude levels in the dimensions of thought and behavior were higher in the participants who received training on social work than in the participants who did not receive any training. However, it was determined that there was no difference in the dimension of emotion.

One of the most important transactions of the financial system is stock trading. Stock price data is handle as a financial time series. Stock price predictions using time series analysis are the activity of determining the future value of stocks listed on the stock market. Predicting the price of the stock correctly reduces the risk factor in the decisions to be taken by the investors. Therefore, it is an important issue for the investor. However, because there are many variables that affect the stock price, it is a very complex process to predict. Machine learning methods, especially deep learning algorithms, are frequently used in prediction in the field of finance, as in many other fields. In this study, stock price prediction was made using Long-Short-Term Memory networks, which is one of the deep learning methods. Four stocks within the scope of Borsa Istanbul Technology Index were determined and a 2578-day data set was created between 2012 and 2022, and training and testing was carried out with the established model. As a result of the test process, consistent and realistic predictions were obtained.

This research was carried out to determine the technostress resources and technostress levels of academicians. The population of the research consists of 543 academicians working at Mardin Artuklu University in March-May 2022. The sample of the research consists of 285 academicians reached by the convenience sampling method. The data obtained through online questionnaires were tested using the SPSS 23 program. The tests performed are correlation, frequency analysis, ANOVA test and independent groups t test. It has been observed that workhome conflict, negative affectivity and strain dimensions are formed as technostress sources. Among the hypotheses developed about technostress resources and technostress levels, it has been determined that there is a positive significant relationship between technostress resources and technostress levels, strain, work-home conflict and negative affectivity, and technostress level, technological overload and technological complexity. In addition, no significant relationship was found between technological uncertainty, which is the sub-dimension of technostress, and other variables. As a result of the regression analysis, strain positively and significantly predicts the technological overload, and negative affectivity positively and significantly predicts the technological overload. According to the results of the analysis, it is seen that the work-home conflict, which is the sub-dimension of the source of technostress, does not explain the technological overload.