Çağdaş rekabet ortamının bir gereği olarak perakendecilikte de mağaza özelliklerinin, somut şekil özelliklerinden ziyade, tüketicilerin algısından başlayarak düzenlenmekte olduğu yeni bir dönem yaşanmaktadır. Mağaza özellikleri, somut nitelikteki objelere dayalı olarak değil; müşterinin algısından başlayarak müşteri isteğine göre yapılmalıdır. Bu süreçte “Tüketici nasıl bir yerde, nasıl bir mağaza atmosferinde, hangi mağazada ve nasıl bir deneyim yaşamak istiyor?” sorularına yanıt vermek için yazılan bu kitap ile işletmelere farklı bir bakış açısı sunulmaya çalışılmıştır.

This book offers a comprehensive journey through the evolving world of cryptocurrencies and their intersection with modern econometric forecasting. From the origins of Bitcoin and the rise of decentralized finance to the emergence of smart contracts and digital communities, readers gain a deep understanding of blockchain’s economic and societal impact. Bridging theory and practice, the book explores ARIMA models, machine learning, and neural networks as powerful tools for forecasting in a data-driven economy. It also addresses critical issues such as model interpretability, ethics, and regulatory challenges. Ideal for economists, data scientists, and crypto enthusiasts alike, this work emphasizes the importance of interdisciplinary thinking in navigating the future of finance, technology, and economic modeling in an increasingly digital world.

The determinants of local government performance have long been of interest, and have been empirically investigated in a number of recent studies. A general question in this area is: why have some local governments across the countries achieved high rates of performance whilst the others remained at lower levels? Evidence from the relevant literature indicates that some local governments or municipalities, particularly in developed countries, achieve very good performance. Others, in particular those from underdeveloped or developing, have very little or almost no performance.

This research empirically investigates the budgeting conditions in North Cyprus and evaluate how budgeting conditions vary from one municipality to the other in the five major municipalities; Lefkosa, Magusa, Girne, Guzelyurt and Iskele over the period 2004Q1 to 2012Q4. Two types of methodologies are conducted. First; it empirically investigates the determinants of local government deficit by using cointegration techniques. The Johansen co-integration and The Vector Error Correction model (VECM) are applied to test the effect of each element such as own-source revenue, grants, expenditures and debt services on the budget deficit. Second, the study test the convergence hypothesis if similar regions within the country converge to the same long-run steady state by considering five major Cypriot municipalities in the North Cyprus economy.

The results from the empirical analysis on budget deficit findings show that there is evidence of a long-run relationship between general deficit and its determinants. The evidence of causality is found from expenditure and debt to general deficit for Lefkosa municipality. There is unidirectional causality from grant and revenue through deficit for Magusa municipality. Third empirical analysis on convergence introduced that the municipalities with the lowest number of people per staff, commonly diverge from the group mean.