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In order to meet increased demand for services, municipalities are compelled to use their resources in a most efficient manner. The regular collection of revenues in municipalities, while making expenditures in  most efficient ways depend on the healthy functioning of the budget and accounting and the financial control system correspondingly. In is necessary for municipalities to continuously control the balance of incomes and expenses, determining and eliminating the negativities in this balance. For this purpose, financial analyses and management ratios are needed. With the financial analyses made, a financial control system may be established in a municipality and used for management purposes. Municipalities which continuously produce information by means of financial control, will be able to take corrective measures in line with these information, take expenditure decreasing measures by determining which items cause the increases and decreases in incomes and expenditures and undertake income increasing procedures. For this purpose, financial analysis varieties were mentioned in the study and a practice made by the Beylikdüzü Municipality  for the analysis of financial statements, obtained as a result of the accrual based accounting system, in public institutions included herein.

In this study, the extent of flexible working patterns beginning to replace the conventional working models is examined in companies in Turkey and Germany and the extent of flexible working patterns in the two countries is compared. The objectives of the study are to determine the prevalence of these patterns and to find out the similarities and differences regarding flexible working in the two countries. The flexible working patterns focused on in this study are weekend work, shiftwork, overtime work, part-time work, job sharing, flexitime, fixed-term contracts, home-based work, telecommuting, and compressed workweeks. The research, which is designed with the last round database of the CRANET Survey on Comparative Human Resource Management Research, includes the companies in Turkey and Germany of the 35 participating countries (154 companies from Turkey and 278 companies from Germany which makes a total of 432 companies). In the findings section, first of all, the prevalence of each flexible working pattern in the two countries has been presented. Chi-square analysis has been conducted for each of the flexible working patterns to find out if there are any significant differences in the prevalence of these models in the two countries. As a result, it is determined that the extent of the nine flexible working patterns differed in the two countries. This is to say that the prevalence of several flexible working patterns ensuring the work-life balance of the employees is higher in Germany whereas flexible patterns used for economic reasons and do not add value to the work-life balance of the employees are usually prevalent in Turkey. The only similarity between the two countries is the use of home-based work.  

In the labour relations literature, groups such as women, students, youth, youth who are neither employed nor in education or training (15-29-year-olds) disabled people, and retirees are accepted as “disadvantaged”. Although the employment of disadvantaged groups or unemployment indicators vary across countries, the employment of disadvantaged groups appears to be a common problem in many countries. In this context, in this study, it was conducted to investigate the dissimilarity of some disadvantaged groups in terms of employment and unemployment among OECD countries, including women, youth, youth who are neither employed nor in education or training. The most dissimilar countries tried to be determined in terms of variables handled within OECD countries. This determination was considered important to make comparisons correctly between countries. Since the most recent data in OECD and World Bank databases belong to 2018, countries that belong to this year and cover the most variables whenever possible are tried to be addressed. Multidimensional scaling analysis (MDS) was used in the research. In macro studies, Cluster or MDS analyses are generally preferred for cross country comparisons. MDS analysis is a method especially used to determine the dissimilarity between units. In this study, it was found that Turkey was the most dissimilar country in other OECD countries in terms of the variables that are used in the study. This study is due diligence and the results should not be considered as good or bad. There are very good examples of countries in the field of employment and social policy, and it is also important to evaluate the locations according to these countries in determining the main results.  

In a data set, an outlier refers to a data point that is considerably different from the others. Detecting outliers provides useful application-specific insights and leads to choosing right prediction models. Outlier detection (also known as anomaly detection or novelty detection) has been studied in statistics and machine learning for a long time. It is an essential preprocessing step of data mining process. In this study, outlier detection step in the data mining process is applied for identifying the top 20 outlier firms. Three outlier detection algorithms are utilized using fundamental analysis variables of firms listed in Borsa Istanbul for the 2011-2014 period. The results of each algorithm are presented and compared. Findings show that 15 different firms are identified by three different outlier detection methods. KCHOL and SAHOL have the greatest number of appearances with 12 observations among these firms. By investigating the results, it is concluded that each of three algorithms makes different outlier firm lists due to differences in their approaches for outlier detection.


 
 
 Academic engagement used to refer to the extent to which students identify with and value schooling outcomes, and participate in academic and non-academic school activities. This study aims to investigate the academic engagement and satisfaction from the school among the university students. The data is taken from the undergraduate students in School of Transportation & Logistics in Istanbul University. We used a questionnaire that consisted of two parts. First part of the questionnaire is about to measure the students’ academic engagement that is improved by Schaufeli et al. Second part of the questionnaire is about to measure the students’ satisfaction from the school. K-means cluster analysis is used to determine two groups of students, group the students in to two clusters based on their school satisfaction scores. We named these two groups as “satisfied” and “unsatisfied” students. Secondly we investigate the relationships between the satisfaction scores and the academic engagement. By means of T Test we investigate whether the academic engagement differs between the clusters that are determined according to the students’ satisfaction scores. Finally we found that academic engagement differs according to the identified clusters.
 
 

In the labour relations literature, groups such as women, students, youth, youth who are neither employed nor in education or training (15-29-year-olds) disabled people, and retirees are accepted as “disadvantaged”. Although the employment of disadvantaged groups or unemployment indicators vary across countries, the employment of disadvantaged groups appears to be a common problem in many countries. In this context, in this study, it was conducted to investigate the dissimilarity of some disadvantaged groups in terms of employment and unemployment among OECD countries, including women, youth, youth who are neither employed nor in education or training. The most dissimilar countries tried to be determined in terms of variables handled within OECD countries. This determination was considered important to make comparisons correctly between countries. Since the most recent data in OECD and World Bank databases belong to 2018, countries that belong to this year and cover the most variables whenever possible are tried to be addressed. Multidimensional scaling analysis (MDS) was used in the research. In macro studies, Cluster or MDS analyses are generally preferred for cross country comparisons. MDS analysis is a method especially used to determine the dissimilarity between units. In this study, it was found that Turkey was the most dissimilar country in other OECD countries in terms of the variables that are used in the study. This study is due diligence and the results should not be considered as good or bad. There are very good examples of countries in the field of employment and social policy, and it is also important to evaluate the locations according to these countries in determining the main results.  

In this study, the extent of flexible working patterns beginning to replace the conventional working models is examined in companies in Turkey and Germany and the extent of flexible working patterns in the two countries is compared. The objectives of the study are to determine the prevalence of these patterns and to find out the similarities and differences regarding flexible working in the two countries. The flexible working patterns focused on in this study are weekend work, shiftwork, overtime work, part-time work, job sharing, flexitime, fixed-term contracts, home-based work, telecommuting, and compressed workweeks. The research, which is designed with the last round database of the CRANET Survey on Comparative Human Resource Management Research, includes the companies in Turkey and Germany of the 35 participating countries (154 companies from Turkey and 278 companies from Germany which makes a total of 432 companies). In the findings section, first of all, the prevalence of each flexible working pattern in the two countries has been presented. Chi-square analysis has been conducted for each of the flexible working patterns to find out if there are any significant differences in the prevalence of these models in the two countries. As a result, it is determined that the extent of the nine flexible working patterns differed in the two countries. This is to say that the prevalence of several flexible working patterns ensuring the work-life balance of the employees is higher in Germany whereas flexible patterns used for economic reasons and do not add value to the work-life balance of the employees are usually prevalent in Turkey. The only similarity between the two countries is the use of home-based work.  

In psychology attitude is defined as favorable or unfavorable evaluations towards a person, group, object or event. Attitudes are formed by past and present experiences and are expected to change as a function of experience. Three components of the attitude defined as cognitive (what we know about the subject), affective (how we feel towards the subject) and behavioral (intention to behave towards the subject). Our behavior is defined as a complex combination of beliefs, feelings, capabilities and norms. The majority of consumer behavior literature examined the main antecedents of purchase behavior. Attitudes are described as one of the most important determinant of the behavior. There are several methods and techniques to assess attitude; the most used one is the self-report paper and pencil measures. Brand loyalty is another important concept related with repetitive purchasing behavior. While cognitive loyalty is related with the information, affective loyalty is related with feelings. Behavioral loyalty is described as the past behaviors or experiences. Some of our behaviors are determined by the cognitive component of the attitude while others may be directed by the affective part. Main focus of the research is to find out whether there is a level of compliance between cognitive, affective and behavioral attitude of consumers. 1000 forms are distributed in order to identify the attitudes and purchasing behaviors of consumers 783 forms are evaluated

Aim of this research is to investigate the relationship between intentional leadership styles and innovation. Research, was held in Istanbul Sisli, at the one of Turkey's largest logistics company. A total of 7000 people, including 1200 mid-level executives and 100 senior executives, are in operation. The survey was conducted with the participation of 100 senior managers. Working with this content is a case study. As a result of analysis of research data; it was found that there was a significant positive relationship between the general leadership scale and the autocracy, democracy, humanism, bureaucracy and charismatic subordinate to it. Another meaningful relationship was found between leadership scale sub-dimensions and autocracy and innovation scale. A statistically significant difference was not found between the variables except this.

The purpose of this study is to explore the importance and ranking of technical analysis variables in Turkish banking sector. Random Forest method is used for determining importance scores of inputs for eight banks in Borsa Istanbul. Then two predictive models utilizing Random Forest (RF) and Artificial Neural Networks (ANN) are built for predicting BIST-100 index and bank closing prices. Results of the models are compared by three metrics namely Mean Absolute Error (MAE), Mean Square Error (MSE), Median Absolute Error (MedAE). Findings show that moving average (MAV-100) is the most important variable for both BIST -100 index and bank closing prices. Therefore, investors should follow this technical indicator with respect to Turkish banks. In addition ANN shows better performance for all metrics.