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Both in Turkey and in the world in 1980 was a year of major structural transformations. Globalization has been accelerated in this time and countries have implemented some liberal policies for opening borders to foreign capital. Economies began to be led by export-oriented industrialization and liberalization policies after 1980 and these policies continue since then. Turkey is one of these countries that began liberalization after 1980. While decreasing trade barriers exerts a downward pressure on prices trade liberalization represents a structural break. This study aims to examine the relationship between trade openness and inflation over the period 1980-2011 for Turkey by using OLS method. The proportion of foreign trade volume (exports plus imports) to GDP and real exchange rates are used as measures of trade openness besides inflation rate. As a result of the study, it has been determined that there was a negative correlation between trade openness and inflation rate for the dedicated years in Turkey. The effects of crisis and election years in Turkey have been also tested and found statistically insignificant.

Big Data has recently been used for many purposes like medicine, marketing and sports. It has helped improve management decisions. However, for almost each case a unique data warehouse should be built to benefit from the merits of data mining and Big Data. Hence, each time we start from scratch to form and build a Big Data Warehouse. In this study, we propose a Big Data Warehouse and a model for universities to be used for information management, to be more specific gossip management. The overall model is a decision support system that may help university administraitons when they are making decisions and also provide them with information or gossips being circulated among students and staff. In the model, unsupervised machine learning algorithms have been employed. A prototype of the proposed system has also been presented in the study. User generated data has been collected from students in order to learn gossips and students’ problems related to school, classes, staff and instructors. The findings and results of the pilot study suggest that social media messages among students may give important clues for the happenings at school and this information may be used for management purposes.The model may be developed and implemented by not only universities but also some other organisations.

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.

Contemporary companies are giving considerable importance to satisfaction of their internal customers as well as satisfying their exterior customers by their goods and products. In tis context, employer branding-  an important concept developed by Simon Borrow- has been accepted as one of the most important developments of 1990s and myriad of companies has started to give importance to the mentioned point (Tüzüner, et al., 2009). Difficulties in finding talented employees, has made employer branding popular especially in service sector (Berthon vd. 2005; Knox and Freeman, 2006). According to information supplied from career portals, nowadays the highest number of job applications are being made to banking sector hence we were curious about this spesific sector in our study. Main sample of this study is composed of applicants that made job application to Albaraka Türk Participation Bank in the last three months prior to the design of this study. Aim of the study is measuring effects of employer branding dimensions in these applicant’s applicaitons behaviours and analyzing the relationship between their brand perceptions related to Albarak Türk Participation Bank and their levels of education and job experiences. With these purposes we used Berthon’s Employer Attractiveness Scale. Our survey has been applied to 500 job applicants from various education and experience levels and we used easy sampling method in choosing these applicants. Our survey, composed of 25 questions and Likert answer key with 7 answers has been brought to applicants via email and results have been analyzed by SPSS program. Our findings showed that rather than experience leves, education levels makes difference in appilicants perceptions about employer brand of the bank.

<p>The success of economic transition for countries mainly requires economic and politic stability. However the conflict paradigm affects the nature of economic transition. In this process, innovations have changed product technologies which have been required by economic growth. Presently, automation in standardized production industry is used as if it will take over the wage labor. Crises brought uniformities into agenda. Computer integrated manufacturing appeared in the midst of 1990s. However, production still tended to move to other countries with cheaper labor. The study focuses on interaction between the conflict and market mechanism in the light of the knowledge-based economic development.</p>

<p>Considering the impacts of the conflict on the economic parameters in terms of macroeconomics, the following factors might affect the profitability of the company: foreign capital outflows, decrease in exports, increase in the interest rates, disruption of the investment climate, increase in the exchange rates, increase in the costs of import entry etc. Due to the expectable decrease in profit shares as to the investors, the contraction in the risk appetite will cause volatility in the prices of equity securities markets based on the impacts of the conflict, and the equity securities will depreciate. In this study, the main contributions on conflict risk and related econometric models have been discussed.</p>

<p>The World Bank is the most important financier for international investment. The bank opens credits mostly for investment projects in developing countries. Turkey has received various investment credits since its membership to the World Bank on March 11, 1947. The credits were used for economic and social domains. Turkey has also been granted credits from the European Investment Bank (EIB). The credits received are composed of micro credits that belong to small and medium enterprises (SMEs). A regional development bank, Islamic Development Bank, has also received credits through Eximbank and Industrial Development Bank of Turkey (TSKB) to finance Turkish SMEs. This paper deals with Turkish investment strategies in the framework of basic principles of investment – development banks.</p>

<p>Banks, one of the most significant economic means of the nations and international organizations, have occasionally become one of the institutions mostly affected by the financial crisis in the world. Especially in the economies of the developed countries, one of the most important aspects of the financial sector is measured by the size of the financial resources and assets of the banks. The size and place of the investment banks depends on the investment and existing credit reserves appropriated by its members. From this perspective, scrutinizing the Investment and Developments Banks, which is one of the economic growth criteria, is of high importance. To this end, in addition to the operation of the Investment and Development Banks, financial products of these banks in Turkey are also analyzed in this study.</p>

As being a psychosocial creature, the human composing the organization has series of behavioral talents like feeling, idea, desire, ambition, hope and fear. Humans, besides their technical abilities, bring their hopes and concerns, their life philosophy, all exclusive behaviors with them to organizations where they belive they realize their porsonel hopes and desires and establish cooperation. As aresult, established organization has social, human structural property including different personal ideas and behaviors. It was understood that, humans in the organization do not always behave according to rules, which were set by management, and the economical human logic. Human behave in accordance with their emotions and feeling. Because organizations can not satisfy all needs of humans by assigning formal tasks and physical facilities. As a result of these complex reasons generally the members of the organizations, which are established to perform certain official tasks, establish unofficial organizations by developing relations among themselves in order to satisfy their personal needs and feelings. In this study, accepting the value and importance of the official organization, it is desired to tell that unofficial organization is real and important at least the official organization. Becouse at the same time organizations are feelings system, it is beneficial to determine the role of the human in the organization and to regulate the organizationto this fact.

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.