İktisadi ve İdari Bilimler Fakültesi

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Americanization of Political Campaigns: a Comparison of the Cases of Forza Italia and the Young Party
(Turkiye Orta Dogu Amme Idaresi Enstitusu, 2010) Turk, Hasan Bahadir; Türk, Hasan Bahadır; Siyaset Bilimi ve Uluslararası İlişkiler
Similar to political institutions and structures, political campaigns have also undergone dramatic transformations. The Americanization of political campaigns, which are characterized by certain peculiarities, such as the personalization of politics, weakening of party organizations, wide use of media channels in the political marketing process, need for specialization, primacy of opinions over ideologies and conceptualization of citizens as policy consumers, is a by-product of these dramatic transformations. This paper aims to compare Forza Italia and the Young Party through the Americanization of political campaigns with special emphasis on the connection between the transformation of political campaigns and the crisis of representative democracy.
Citation - WoS: 2
Citation - Scopus: 2
An Alternative Mean Reversion Test for Interest Rates
(Central Bank Republic Turkey, 2018) Ozel, Ozgur; Ilalan, Deniz
A number of empirical studies assert that interest rates are governed by unit root processes rejecting any form of reversion to a long term mean by resorting to certain tests, among which the Augmented Dickey Fuller (ADF) is the most widely used one. In this study, we propose an alternative testing methodology that can be applied along with ADF test, in the sense that there are times where it can capture stationarity when the other fails to do so. Moreover, our test has more power than ADF test. As an application to real-data, we consider 10-year US and Turkish T-bond rates. (C) 2017 Central Bank of The Republic of Turkey. Production and hosting by Elsevier B.V.
Citation - WoS: 4
Citation - Scopus: 5
Analysis of Distinct Asymmetries in Financialintegration-Growthnexus for Industrial, Emerging and Developing Countries
(Wiley, 2022) Ocal, Nadir; Yolcu Karadam, Duygu
This paper examines the threshold conditions in financial integration and growth relationship for a large set of threshold variables and different income group of countries employing Panel Smooth Transition Regression Models. Except developing countries, our findings strongly indicate nonlinear dynamics and imply that the impact of financial integration on growth is asymmetric depending on a number of indicators such as countries' degree of institutional quality, financial sector development, trade openness, budget deficit, inflation volatility and the level of financial integration. Our results show that these threshold effects substantially differ for emerging and industrial countries. As far as whole set of countries is concerned, our findings imply that countries having developed financial systems, qualified institutions and stable macroeconomic environment benefit from financial integration. Moreover, threshold effects are stronger and different for emerging countries compared to the industrial countries. Unlike emerging economies, higher levels of financial integration and trade openness decrease benefits from financial openness for the industrial countries. Besides, high fiscal deficit has more pronounced negative effect on the growth of the industrialized countries compared to emerging economies and other indicators.
Analyzing the Effect of Antecedents of Turnover Intention According To Generations
(Future Acad, 2019) Karabay, Melisa Erdilek; Seiler, Irge; Elci, Meral; Ensari, Sebnem
There are many predictors that determine the turnover intention of employees. Among these predictors, mobbing behaviour can be disruptive in the workplace since workplace deviance is a matter which most organizations wrestle today. Organizational commitment is an important variant for employees to achieve organizational success whereas ethical climate is the picture of an organization which demonstrates its' moral philosophy. This study examines the main effects of ethical climate, mobbing, and organizational commitment in predicting turnover intention among the sample of 166 employees, working in a municipality, particularly in Istanbul province, Turkey. The findings indicate that mobbing affect turnover intention positively, while ethical climate has no effect in estimating turnover intention. Study results also suggest that commitment (continuance and affective) is also found to be negatively related to turnover intention of employees. In addition, for Generation-X members, continuance commitment and for Generation-Y members, affective commitment has a significant effect on turnover intention. (C) 2019 Published by Future Academy www.FutureAcademy.org .UK
Citation - WoS: 3
Assessment of Cluster Potential and Decision Making Criterion in the Textile and Apparel Sector Using the Analytic Hierarchy Process (Ahp)
(Academic Journals, 2011) Aluftekin, Nilay; Tas, Aysegul; Yuksel, Oznur; Cakar, Gulsen Erenler; Bayraktar, Fatma
In this study, the potential of specific-sector clustering and the relevant decision-making criteria are identified for 10 provinces of Turkey based on the clustering approach and using the Analytic Hierarchy Process (AHP) and through one-to-one interviews and surveys administered on 2,327 firms active in the textile and apparel sector. When identifying this potential, the clustering tendencies of companies with input-output relations and included in the value chain were also used in addition to survey data. At the end of the study, according to the data obtained through the AHP and the surveys held in 10 provinces, two provinces came to fore, meeting the highest number of criteria in terms of clustering potential. These are the provinces of Istanbul and Gaziantep. The provinces of Izmir and Bursa were identified as being closer to having a clustering potential compared to other provinces. In addition, it is expected that this study will make a significant contribution to literature as this study uses the AHP method for the first time in identifying the potential of clustering.
At the Convergence of Energy Corridors: Energy Situation in Turkey and a Critical Evaluation With Porter's Model
(Igi Global, 2017) Gokmen, Aytac; Nakip, Mahir
Turkey is at the threshold of Eurasia connecting various energy corridors. It has an improving economic volume and is one of the 20 largest economies in the world. Energy and economic development are highly correlated. Turkey is dependent on imported energy. In order to keep up with the economic expansion, the energy requirements of Turkey must be met in a diversified, timely and reliable way. Thus, the aim of this paper is to define the geographic disposition of Turkey at the convergence of energy lines, review its energy situation comprehensively and make critical evaluations on energy and economy related issues, also with using the diamond model developed by Michael E. Porter resting on credible national and international publications and data.
Citation - WoS: 13
Board Composition and Gender Diversity: Comparison of Turkish and Nigerian Listed Companies
(Elsevier Science Bv, 2014) Karaye, Abubakar Balarabe; Sener, Irge
The research related with board of directors is an important research stream. One of the most noteworthy dimensions related with board composition is board gender diversity. Although, many research is undertaken in developed countries related with board gender diversity, related research is still at infancy in developing and emerging market economies. This study aims to contribute to the literature by comparison of important board composition dimensions, that are board gender diversity, presence of independent directors and board size between Turkey and Nigeria. The findings indicate no statistically significant difference between the two countries in terms of board gender diversity and underrepresentation of female directors. According to the research findings, the underrepresentation of female directors is more obvious in Turkey. On the other hand, there exists statistically significant difference in terms of board size and presence of independent board members among the two countries. (C) 2014 The Authors. Published by Elsevier Ltd.
Citation - WoS: 1
Citation - Scopus: 10
Board Composition and Organizational Performance: Environmental Characteristics Matter
(Elsevier Science Bv, 2011) Varoglu, Abdulkadir; Aren, Selim; Sener, Irge
Concern for board of directors considerably increased with the recent developments in the corporate governance field. Despite that extensive research was conducted, the understanding of the board and its effects is still limited. This is mainly because that the majority of the corporate governance research focused mostly on the direct relation of board characteristics with organizational outcomes, and neglected the effect of intervening variables, leading to inconclusive research findings. Deriving on this limitation, in this study, the effect of board composition on organizational performance was investigated for different environmental conditions, which are measured in terms of munificence and dynamism of the industry in which the organizations operate and product complexity of the organizations. In addition, the moderating effects of these dimensions of organizational task environments on the relationship between board composition and organizational performance were also addressed. Building on resource dependence theory, it is suggested that under different environmental conditions, different compositions of boards will positively influence organizational performance. Based on the data from 80 companies which shares are publicly traded in Istanbul Stock Exchange, the findings indicate that the effect of board composition on organizational performance vary among different environmental conditions. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility 7th International Strategic Management Conference
Citation - WoS: 21
Citation - Scopus: 21
Business Groups and Internal Capital Markets
(Routledge Journals, Taylor & Francis Ltd, 2007) Gonenc, Halit; Kan, Ozgur B.; Karadagli, Ece C.
We compare the performance of firms affiliated with diversified business groups with the performance of unaffiliated firms in Turkey, all emerging market. We address the question of whether group-affiliated firms create internal capital markets or control large cash flows. Our findings indicate that group affiliation improves a firm accounting performance, but not stock market performance. Deviation of cash-flow rights front voting rights has a negative but insignificant effect on accounting performance, but a significant effect on market performance. We also find that a firm's accounting, but not stock market, performance increases with the level of group diversification. Our results show that internal capital markets play an important role for the existence of business groups in all emerging market context.
Can Term Structure of Interest Rate Predict Inflation and Real Economic Activity: Nonlinear Evidence From Turkey
(Springer, 2011) Omay, Tolga
A Case Study: Internet Based Collaborative and Cooperative Learning
(int inst informatics & Systemics, 2007) Demirbulak, Dilara; Aşkun, Ali Rıza; Demirbulak, Dilara; Askun, Ali Riza; Ortak Dersler Bölümü; İngiliz Dili ve Edebiyatı
The Internet has improved the quality and quantity of communication all over the world by providing opportunity to electronically deliver and share knowledge instantly all over the world. As for the impact of this on education the ones relevant for this study are the need to integrate educational technology and collaborative learning into curriculum. This is the third phase of a longitudinal study. It was carried out at an English Language Teacher Training Certificate Program, "Methodology" course at a Higher Education institution. The same course was being given by one instructor to two different groups of learners who had not met each other. Each week a different method was focused on by different groups of learners. Each group presented the principles of the method using the method itself and then discussions were carried out. The presentations were video-taped and discussions were carried out based on key points presented via power-point. The learners in the two courses focusing on the same methodology were asked to interact by means of the internet and their output was evaluated, Based on the results of data gathered it could be said that virtual teams learner outputs were, effective and in some cases were more effective than the face to face teams.
The Causal Relationship Between Stock Markets and Policy Uncertainty in Oecd Countries
(Bc Grup inc, 2017) Pirgaip, Burak
In this study, we examine the causal relationship between economic policy uncertainty (EPU) and stock market prices in OECD countries. We provide strong evidence that stock markets mostly Granger cause EPU. Such causality may also exist in the opposite direction for a few cases and we find no causality in some countries as well. Our results do not provide any support for bidirectional causality.
Citation - WoS: 1
Citation - Scopus: 1
Cointegration, Causality and the Transmission of Shocks Across Wheat Market in Pakistan
(Springer, 2009) Klasra, Mushtaq Ahmad
This paper uses quarterly price data and examines the transmission of shocks across different spatially separated locations besides identifying causality among these locations. Johansen and Juselius's (Econ. Stat., 52, 160-210, 1990) multivariate cointegration procedure identified two cointegrating vectors among these locations. Following Toda and Yamamoto (J. Econom., 66, 225-250, 1995), causality tests showed only one bi-directional causality and it was between Peshawar and Hyderabad locations. Faisalabad and Sargodha appeared independent (i.e. exogenous) market locations in price discovery process. Peshawar market showed maximum (i.e. 5) number of significant links. The generalized impulse response functions, though, suggested similar (cyclical) pattern of responses across the markets, but their time profile, which provides insight into the system's speed of convergence to long run equilibrium path, varied with different level of extent and persistency. Responses to shock originating in consumption markets (i.e. Karachi, Peshawar and Lahore) remained short lived; whereas the shocks stemming from surplus wheat producing locations (i.e Multan, Sargodha and Faisalabad) produced long and more persistent responses.
Citation - WoS: 2
Citation - Scopus: 1
Collaboration in Bologna Process: the Experience of Department of Interior Architecture in Cankaya University
(Elsevier Science Bv, 2011) Sakarya, A. Orcun; Kahraman, Z. Ezgi Haliloglu
Bologna Process studies in Cankaya University's Interior Design and Architecture Department have been initiated in 2008. This study analyzes the curriculum development efforts in a participatory point of view and the findings of the first stage by providing insights for the next step of the process. As a result of the consensus among professors and questionnaire, program qualifications have been identified and listed. Assessment of questionnaires conducted to students and graduates revised these qualifications. These new qualifications specifically involve the subject-specific ones related with the fundamentals of design processes, history and technical topics of interior architecture; design and construction issues. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the 2nd World Conference on Psychology, Counselling and Guidance.
Citation - WoS: 3
Citation - Scopus: 5
A Comparative Civilizational Reading for the Middle East and Turkey's New Role in It
(Routledge Journals, Taylor & Francis Ltd, 2016) Atac, C. Akca
The 1990s witnessed a bloom of studies on the standard of civilization', which all aimed to explore the future of the rift between the East and the West. The Arab Spring and its implications for the primordial competition between the East and the West has once again required the revisiting of certain, rather more contemporary, theoretical aspects of the grand debate on civilization. This paper aims to introduce current arguments pertaining to the grand debate on civilization into the context of the Arab Spring. In doing so, it seeks to offer a comparative perspective of the quest for understanding the current situation in the Middle East with particular reference to the civilization discourse which is currently on the rise in Turkish politics. Turkey is among the actors in the Middle East seeking to assume leadership in order to establish peace in the region.
Citation - WoS: 12
Compulsive Buying Behavior Tendencies: the Case of Turkish Consumers
(Academic Journals, 2010) Ergin, Elif Akaguen
Compulsive buying is a dysfunctional consumer behavior, a chronic failure to control the urge to purchase products and services. The two main goals of this study were to explore whether gender was a significant predictor of compulsive buying behavior and to determine the effect of two particular predispositional factors ( anxiety, depression) on compulsive buying. The primary data for this study was obtained from a questionnare that was administered in the capital city of Ankara. A convenience sample of three hundred and fourteen respondents participated in the study. Independent sample t - test, correlational and regression analyses were conducted for data analysis. The empirical findings showed that there are marked differences in compulsive buying tendencies of Turkish women and men, and factors such as age and anxiety are strongly related to compulsive buying behavior.
Citation - WoS: 18
Citation - Scopus: 23
Computing Non-Stationary (S, S) Policies Using Mixed Integer Linear Programming
(Elsevier Science Bv, 2018) Xiang, Mengyuan; Rossi, Roberto; Martin-Barragan, Belen; Tarim, S. Armagan
This paper addresses the single-item single-stocking location non-stationary stochastic lot sizing problem under the (s, S) control policy. We first present a mixed integer non-linear programming (MINLP) formulation for determining near-optimal (s, S) policy parameters. To tackle larger instances, we then combine the previously introduced MINLP model and a binary search approach. These models can be reformulated as mixed integer linear programming (MILP) models which can be easily implemented and solved by using off-the-shelf optimization software. Computational experiments demonstrate that optimality gaps of these models are less than 0.3% of the optimal policy cost and computational times are reasonable. (C) 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 9
Citation - Scopus: 11
Confidence-Based Reasoning in Stochastic Constraint Programming
(Elsevier, 2015) Rossi, Roberto; Hnich, Brahim; Tarim, S. Armagan; Prestvvich, Steven
In this work we introduce a novel approach, based on sampling, for finding assignments that are likely to be solutions to stochastic constraint satisfaction problems and constraint optimisation problems. Our approach reduces the size of the original problem being analysed; by solving this reduced problem, with a given confidence probability, we obtain assignments that satisfy the chance constraints in the original model within prescribed error tolerance thresholds. To achieve this, we blend concepts from stochastic constraint programming and statistics. We discuss both exact and approximate variants of our method. The framework we introduce can be immediately employed in concert with existing approaches for solving stochastic constraint programs. A thorough computational study on a number of stochastic combinatorial optimisation problems demonstrates the effectiveness of our approach. (C) 2015 Elsevier B.V. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
The Crime of Genocide in International Law and Underlying Social Structures of the Crime: Rwanda Case
(Uluslararasi Iliskiler Konseyi dernegi, 2008) Coban, Ebru
Genocide is a crime which is defined under international law in the twentieth century and could not come about without the ideological, bureaucratic power of a modern state with its sanctions and modern discourses on identities and modern classifications. With a non-modern picture but with modem techniques of governing Rwanda was a place that genocidal killings occurred and is a place of a breaking case for modem theories. Rwanda has modern state characteristics in terms of monopoly of use of violence, giving orders and providing obedience of its people, surveillance, classification and registration of its people, and keeping discourses. Moreover, Rwandan culture that gives great importance to obedience and Rwandan geography that is so suitable to surveillance become additional factors. In that sense, Rwandan governments could influence to daily life of the people even to the smallest details of anyone. All factors provided a suitable base for the crime of genocide.
Citation - WoS: 15
Citation - Scopus: 15
Deep Learning Method for Compressive Strength Prediction for Lightweight Concrete
(Techno-press, 2023) Nanehkaran, Yaser A.; Azarafza, Mohammad; Pusatli, Tolga; Bonab, Masoud Hajialilue; Irani, Arash Esmatkhah; Kouhdarag, Mehdi; Derakhshani, Reza
Concrete is the most widely used building material, with various types including high-and ultra-high-strength, reinforced, normal, and lightweight concretes. However, accurately predicting concrete properties is challenging due to the geotechnical design code's requirement for specific characteristics. To overcome this issue, researchers have turned to new technologies like machine learning to develop proper methodologies for concrete specification. In this study, we propose a highly accurate deep learning-based predictive model to investigate the compressive strength (UCS) of lightweight concrete with natural aggregates (pumice). Our model was implemented on a database containing 249 experimental records and revealed that water, cement, water-cement ratio, fine-coarse aggregate, aggregate substitution rate, fine aggregate replacement, and superplasticizer are the most influential covariates on UCS. To validate our model, we trained and tested it on random subsets of the database, and its performance was evaluated using a confusion matrix and receiver operating characteristic (ROC) overall accuracy. The proposed model was compared with widely known machine learning methods such as MLP, SVM, and DT classifiers to assess its capability. In addition, the model was tested on 25 laboratory UCS tests to evaluate its predictability. Our findings showed that the proposed model achieved the highest accuracy (accuracy=0.97, precision=0.97) and the lowest error rate with a high learning rate (R2=0.914), as confirmed by ROC (AUC=0.971), which is higher than other classifiers. Therefore, the proposed method demonstrates a high level of performance and capability for UCS predictions.

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