Bu çalışmada soğuk zincir taşıyıcı seçiminde kullanılabilecek bilimsel yöntemlerden birinin AHP tekniği olabileceği konusunda bir farkındalık yaratılmaya çalışılmıştır. AHP yöntemi uygulanmadan önce, ilk olarak yurt içi dondurma dağıtımı yapan taşıyıcı işletmelerin seçiminde kullanılacak kriterler literatürden yararlanarak belirlenmiştir. Daha sonra literatürden yararlanılarak belirlenen bu kriterlerin ağırlıklandırılması yapılmıştır. Bunun için Kahramanmaraş dondurma sektörüne hâkim büyük firmaların 10 yöneticisiyle uzman görüşü anketi gerçekleştirilmiştir. Anket çalışmasında öncelikle, literatür taraması sonucunda belirlenen kriterlerlerin her biri bir diğeriyle tek tek uzmanlar tarafından ikili karşılaştırmaya tabi tutulmuştur. Ardından AHP yönteminin tüm adımları uygulanmıştır. AHP yönteminin adımlarının uygulanması sonucunda; zamanında teslimat en önemli kriter, güvenilirlik ikinci, tecrübe üçüncü, ağ yönetimi dördüncü, soğuk zincir süreçlerinin inovasyonu ve etkinliği beşinci, bilgi teknolojileri altıncı, maliyet yedinci ve son olarak da esneklik sekizinci kriter olarak belirlenmiştir.

In this study that aims to prevent the attrition of human resource which is so important for enterprises, as well as to prevent the leave of employment which is the natural result of such attrition, employee attrition and factors causing attrition are tried to be determined by predictive analytics approaches. The sample dataset which contains 30 different attributes of 1470 employees was obtained for the analysis from a database provided by IBM Watson Analytics. In the study, seven different machine learning algorithms were used to evaluate the prediction achievements. The gain ratio approach was preferred in determining the factors causing attrition. The key point of the study was to cope with the imbalanced data through resampling with bootstrapping. Thereby, even in the blind test, prospering prediction performances reaching up to 80% accuracy were achieved in robust specificity without sacrificing sensitivity. Therewithal, the effective factors causing attrition were investigated in the study and it was concluded that the first 20 attributes ranked according to their gain ratio were sufficient in explaining attrition.

The world, which has become a global village, has faced many problems such as the increasing climate crisis, population growth, and carbon emissions. Adopting the philosophy of sustainability, which is seen as a solution to these problems, has become a necessity. One of the prominent areas in sustainable development in societies with different levels of development is the logistics sector. So determining the relationship between the logistics performances of the European Union countries, which have an important place in World Trade, and the environmental, economic and social dimensions of sustainability, and comparing them constitute the main motivation of the research. In this context, in this study, first of all, the data of 14 criteria, which are considered to be effective in determining the sustainability levels of the European Union countries, were compiled from the World Bank website. ROC technique was used to weight the criteria. Then, using these criteria weights and the criteria values of 2018, the European Union countries were ranked according to their sustainability levels with the help of the OCRA technique. Finally, as a result of the comparison made between the Logistics Performance Index and the sustainability levels, a positive and low level correlation was determined between the two data sets.

Banks are one of the most important elements of the financial system. Banks are organizations that are involved in the development of the money market by ensuring the collection of savings in the economy, transferring surplus funds to economic units that need funds. Banks expand the money supply through the credit channel and ensure that savings are converted into investments in the economy. Increasing investments in the country will contribute to production and employment. The rise in the number of goods and services produced will also lead to development in the rate of economic growth. From this point of view, this study analyzes the short and long-run effects of the aggregate domestic credit volume created by deposit banks, development and investment banks, and participation banks on economic growth in the Turkish economy by adopting the autoregressive distributed lag bounds testing (ARDL) approach for quarterly data covering 2008:01-2022:02 periods. As a result of the analysis, a cointegration relationship has been found between the aggregate domestic credit volume and economic growth. It is concluded that there is no long-term relationship between the aggregate domestic credit volume and economic growth, but they are in a relationship in the short term.