Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1926

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Now showing 1 - 20 of 53

Citation - WoS: 3
Citation - Scopus: 1
A Configurational Analysis of the Impact of Entrepreneurial Orientation and Global Mindset on Export Performance of Smes
(SAGE Publications Inc., 2024) Matemane, R.; Mintah, R.; Şahin, F.; Karadağ, H.
Although contemporary literature provides several important insights into the role of attributes of SMEs, there is much less evidence on what configuration of entrepreneurial orientation and global mindset makes this process successful, that is, contributing to the export performance of SMEs. This study uses a fuzzy set qualitative comparative analysis on a sample of 97 SMEs in Ghana to explore the potential complementary role between the entrepreneurial orientation dimensions and global mindset for superior export performance. The results indicate two different yet equifinal configurations of these factors that lead to a high level of export performance of SMEs. One of the configurations shows that proactive and innovative SMEs with managers high on global mindset achieve superior export performance regardless of their willingness to take risks. Another configuration indicates that regardless of the global mindset of managers, SMEs can achieve higher export performance by being proactive, innovative, and willing to take high risks. Several implications for theory and practice are discussed based on the findings. © The Author(s) 2024.
Citation - WoS: 3
Citation - Scopus: 2
A New Learning Community for Educating Future Teachers: Online Baboratory School
(Taylor and Francis Ltd., 2022) Pekkan, Tunç Zelha; Taylan, Didem Rukiye
To provide quality mathematics education for disadvantaged groups of middle school students and continue to offer quality practicum experience to future teachers during the Covid 19 outbreak, we founded the Online Laboratory School. This school was free and open to public school students: 130 middle school students throughout Turkey attended for a 5-week period. There were 25 pre-service teachers actively involved in teaching, under the close supervision of 7 university supervisors. The entire gamut of planning, teaching and reflection sessions for each virtual class were recorded via an e-learning platform. Additionally, survey data was collected from the participating students, parents, pre-service teachers and supervisors. Our findings indicate that we were able to build a unique and virtual learning community. While pre-service teachers and middle school students benefited the most, university supervisors also reported improving their skills on when and how to give feedback. We describe how the school functioned and the range of opportunities it provided to all participants considering situated-learning perspectives and building online-learning communities. We also discuss how this model can be used in the future as a strong asset for teacher education programs and adaptation of fieldwork practices.
Citation - WoS: 3
Citation - Scopus: 4
A Novel Graph Transformation Strategy for Optimizing Sptrsv on Cpus
(Wiley, 2023) Yılmaz, Buse
Sparse triangular solve (SpTRSV) is an extensively studied computational kernel. An important obstacle in parallel SpTRSV implementations is that in some parts of a sparse matrix the computation is serial. By transforming the dependency graph, it is possible to increase the parallelism of the parts that lack it. In this work, we present a novel graph transformation strategy to increase the parallelism degree of a sparse matrix and compare it to our previous strategy. It is seen that our transformation strategy can provide a speedup as high as 1.42x$$ 1.42x $$.
Citation - WoS: 3
Citation - Scopus: 4
Adaptive Reuse of High-Rise Buildings for Housing: a Study of Istanbul Central Business District
(Cogitatio Press, 2024) Aydemir, Ayşe Zeynep; Akın, Tomris
The abrupt shift to remote work due to the Covid-19 pandemic increased vacant office spaces globally, especially in high -rent central business districts (CBDs). These vacant office spaces offer the potential for conversion into housing, addressing the shortage of affordable housing in central areas. Additionally, this topic presents a unique experimental ground for architecture students. This study focuses on the Istanbul CBD as a case study, examining the historical developments that led to a rise in office vacancy rates and housing inequality, and exploring the potential for adaptive reuse of these vacant office buildings. A key focus of this study is to underline the pedagogical value of adaptive reuse, highlighting how such projects can inspire more diverse and equitable housing models, fostering experimental and sustainable design approaches. It systematically evaluates the outcomes of a 4th -year architectural design studio that focuses on the adaptive reuse of the Tat Towers in the Istanbul CBD, a structurally vacant high-rise office building, and asks: How does the context of adaptive reuse enable a different design approach, and, potentially, new spatial norms and standards to emerge, and how might this hold a pedagogical value for architecture education? Following these questions, the article discusses how norms and standards are not only culturally but also typologically contextual, and how the students have explored how norms and standards might change, outlining new design approaches to adaptive reuse.
Citation - Scopus: 27
An Analysis of the Causes of Water Crisis in the Euphrates-Tigris River Basin
(Springer, 2014) Kibaroğlu, Ayşegül; Maden, Tuğba Evrim
The Euphrates-Tigris river basin now faces severe water crisis that have been fueled by national development projects in a mainly water-scarce region. Increasing demand-induced scarcity is further complicated by a history of international tensions between the three riparian nations of Turkey, Syria and Iraq and has occurred in a changing climate. Water is a critical security issue for these nations. This essay analyses the causes of the water crises by reviewing the historical hydropolitical international relations of the region.
Citation - WoS: 15
Citation - Scopus: 16
An Analysis of Turkey’s Water Diplomacy and Its Evolving Position Vis-À International Water Law
(Taylor & Francis, 2014) Kibaroğlu, Ayşegül
This article analyzes Turkey’s transboundary water policy by examining its institutional framework and basic principles. It explores the reasons why Turkey voted against the UN Watercourses Convention. Turkey’s harmonization with the water law of the European Union is also scrutinized with an aim to assess its implications for transboundary water policy making. Turkish water diplomacy faces new challenges, such as the devastating impacts of prolonged droughts as well as ongoing instability and conflicts in Syria and Iraq. Hence, it is imperative for Turkey to systematically reconcile its water policy objectives in accordance with the global norms that are adopted in this field
Citation - WoS: 2
Citation - Scopus: 2
Approximate Closed-Form Solutions for Vibration of Nano-Beams of Local/Non-local Mixture
(Springer, 2022) Ruta, Giuseppe; Eroğlu, Uğurcan
This paper presents an approach to natural vibration of nano-beams by a linear elastic constitutive law based on a mixture of local and non-local contributions, the latter based on Eringen's model. A perturbation in terms of an evolution parameter lets incremental field equations be derived; another perturbation in terms of the non-local volume fraction yields the variation of the natural angular frequencies and modes with the 'small' amount of non-locality. The latter perturbation does not need to comply with the so-called constitutive boundary conditions, the physical interpretation of which is still debated. The possibility to find closed-form solutions is highlighted following a thorough discussion on the compatibility conditions needed to solve the steps of the perturbation hierarchy; some paradigmatic examples are presented and duly commented.
Citation - WoS: 17
Citation - Scopus: 24
Cash, Receivables and Inventory Management Practices in Small Enterprises: Their Associations With Financial Performance and Competitiveness
(Taylor & Francis, 2018) Karadağ, Hande
This article examines cash, receivables and inventory management in small businesses and their associations with financial performance and competitiveness. The data used in the study is collected from 188 small and medium-sized enterprises through structured questionnaires and four hypotheses are tested by using structural equation modelling (SEM). Findings of the regression analyses show that the higher degree of conduct of receivables and cash management practices is positively associated with financial performance while a weaker degree of association is found for inventory management practices. The results also indicate a significantly strong positive correlation between financial performance and business competitiveness. The study aims to contribute to both financial management and small business management literatures with its focus on working capital management practices and competitiveness associations through improved financial performance and offers valuable implications to small business owner/managers and regulators, by proposing financial performance as a crucial factor that enhances competitiveness in small businesses.
Citation - WoS: 4
Citation - Scopus: 6
Consumer Loans' First Payment Default Detection: a Predictive Model
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL, 2020) Sevgili, Türkan; Koç, Utku
A default loan (also called nonperforming loan) occurs when there is a failure to meet bank conditions and repayment cannot be made in accordance with the terms of the loan which has reached its maturity. In this study, we provide a predictive analysis of the consumer behavior concerning a loan’s first payment default (FPD) using a real dataset of consumer loans with approximately 600,000 records from a bank. We use logistic regression, naive Bayes, support vector machine, and random forest on oversampled and undersampled data to build eight different models to predict FPD loans. A two-class random forest using undersampling yielded more than 86% on all performance measures: accuracy, precision, recall, and F1-score. The corresponding scores are even as high as 96% for oversampling. However, when tested on the real and balanced dataset, the performance of oversampling deteriorates as generating synthetic data for an extremely imbalanced dataset harms the training procedure of the algorithms. The study also provides an understanding of the reasons for nonperforming loans and helps to manage credit risks more consciously.
Citation - WoS: 1
Citation - Scopus: 2
Dataseton Maternal Attitudes About Child Maltreatment in Nine Countries Using a Q-Sort Methodology
(Elsevier, 2020) Mels, Cindy; Alink, Lenneke; Branger, Marjolein; Carcamo, Rodrigo; Van Ginkel, Joost); Wang, Lamei; Yavuz Müren, Melis; Asanjarani, Faramarz; Soares, Isabel; Emmen, Rosanneke; Selcuk, Bilge; Hsiao, Celia; Woudstra, Mi-lan; Mesman, Judi
Analyses of the present data are reported in the article "Crossing Boundaries: A Pilot Study of Maternal Attitudes about Child Maltreatment in Nine Countries"[8]. Data were collected during home visits using the Maltreatment Q-Sort (MQS). A total of 466 mothers from nine different countries gave their opinion about child maltreatment by sorting 90 cards with parenting behaviors taken from the literature that reflect four types of child maltreatment, into 9 evenly distributed stacks (with 10 cards each) from least to most harmful for the child. This data article provides an overview of the content of the 90 items, which type of maltreatment they reflect, and the source of the items. The percentage of mothers labelling each of the MQS items as maltreatment is also presented. In addition, instructions are included about the administration of the MQS as well as data-entry and analyses of Q-sort data, accompanied by example datasets and syntaxes. This can serve as a manual for researchers interested in using Q-sort data.
Citation - WoS: 2
Citation - Scopus: 3
Determinants of Turkish Female Labour Force Participation: an Analysis With Manufacturing Firm-Level Data
(Taylor & Francis, 2020) Karamollaoğlu, Nazlı; Soybilgen, Barış
Compared to other developing countries, Turkey has a very low female labour participation rate. Previous studies usually focus on the labour supply side of female employment. Unlike the previous literature, this paper investigates firm-level determinants of female employment in manufacturing firms using a unique micro data set constructed using different sources. After controlling for geographical variation, firm, and industry-specific factors, our results show that larger firms, exporter firms, firms with higher part-time worker ratio, and foreign-owned firms have higher female employment rate whereas younger firms, firms with higher labour productivity, and firms with long working hours have lower female employment rate.
Citation - WoS: 1
Citation - Scopus: 2
Determining and Evaluating New Store Locations Using Remote Sensing and Machine Learning
(Tübitak, 2021) Ünsalan, Cem; Turgay, Zeynep Zerrin; Küçükaydın, Hande; Höke, Berkan
Decision making for store locations is crucial for retail companies as the profit depends on the location. The key point for correct store location is profit approximation, which is highly dependent on population of the corresponding region, and hence, the volume of the residential area. Thus, estimating building volumes provides insight about the revenue if a new store is about to be opened there. Remote sensing through stereo/tri-stereo satellite images provides wide area coverage as well as adequate resolution for three dimensional reconstruction for volume estimation. We reconstruct 3D map of corresponding region with the help of semiglobal matching and mask R-CNN algorithms for this purpose. Using the existing store data, we construct models for estimating the revenue based on surrounding building volumes. In order to choose the right location, the suitable utility model, which calculates store revenues, shouldbe rigorously determined. Moreover, model parameters should be assessed as correctly as possible. Instead of using randomly generated parameters, we employ remote sensing, computer vision, and machine learning techniques, which provide a novel way for evaluating new store locations.
Citation - WoS: 6
Citation - Scopus: 8
Development of an Improved Mathematical Model for the Dynamic Response of a Sphere Located at a Viscoelastic Medium Interface
(IOP, 2021) Körük, Hasan
A comprehensive investigation on the static and dynamic responses of a sphere located at elastic and viscoelastic medium interfaces is performed in this study. First, the mathematical models commonly used for predicting the static displacement of a sphere located at an elastic medium interface are presented and their performances are compared. After that, based on the finite element analyses, an accurate mathematical model to predict the static displacement of a sphere located at an elastic medium interface valid for different Poisson's ratios of the medium and small and large sphere displacements is proposed. Then, an improved mathematical model for the dynamic response of a sphere located at a viscoelastic medium interface is developed. In addition to the Young's modulus of the medium and the radius of the sphere, the model takes into account the density, Poisson's ratio and viscosity of the medium, the mass of the sphere and the radiation damping. The effects of the radiation damping, the Young's modulus, density and viscosity of the medium and the density of the sphere on the dynamic response of the sphere located at a viscoelastic medium interface are explored. The developed model can be used to understand the dynamic responses of spherical objects located at viscoelastic medium interfaces in practical applications. Furthermore, the proposed model is a significant tool for graduate students and researchers in the fields of engineering, materials science and physics to gain insight into the dynamic responses of spheres located at viscoelastic medium interfaces.
Citation - Scopus: 4
Economic Impact and Complications of Treated and Untreated Hepatitis C Virus Patients in Turkey
(2015) Altinbaş, Akif; Baser E; Kariburyo, F; Başer, Onur
Background: According to the Turkish Ministry of Health’s guidelines,standard double therapy, a combination of pegylated interferon-alphaand ribavirin, was the only treatment option for patients withhepatitis C virus (HCV) infection until the end of 2011. Objective: Theprimary objective was to compare risk-adjusted clinical and economicoutcomes between treated and untreated patients with HCV infection.Methods: Patients with HCV infection were identified from theTurkish National Health Insurance Database (2009–2011) using International Classification of Diseases, 10th Revision, Clinical Modification codes.The first prescription date was designated as the index date. Mortalityand hepatocellular carcinoma (HCC) rates and health care costs oftreated and untreated patients were compared using propensity scorematching. Baseline demographic and clinical factors were controlledin the models. Subgroup analysis was conducted for patient groupswith and without a cirrhosis diagnosis. Results: Out of 12,990 patientsincluded in the study, 1,583 were treated for HCV infection. Out of2,467 patients who had a cirrhosis diagnosis, 231 were treated,whereas out of 10,523 patients without cirrhosis, 1,352 patients weretreated. Treated patients were younger, less likely to be diagnosedwith comorbid conditions, and less likely to reside in Central orEastern Anatolia. After adjusting for baseline demographic andclinical factors, mortality (2.27% vs. 5.31%; P o 0.001) and HCC rates(0.69% vs. 1.96%; P o 0.001) were found to be lower for treatedpatients. Differences were more significant among patients diagnosedwith cirrhosis. Treated patients incurred higher risk-adjusted annualcosts (€6172 vs. €1680; P o 0.001), mainly because of pharmaceuticalcosts (€4918 vs. €583; P o 0.001). Conclusions: HCV infection treatment, although costly, significantly reduces mortality and HCC ratesin Turkey.
Citation - WoS: 3
Citation - Scopus: 3
Efficiency Analysis of Social Performance – the Case of Turkish Super League
(Taylor & Francis, 2020) Donduran, Murat; Özaydın, Selçuk
Undoubtedly, due to its impact on both revenues and the home advantage, social performance is a key factor of success for football clubs. Growing revenues and the government’s eagerness to promote football in Turkey in recent years have created desirable conditions for Turkish clubs. However, research into the impact of social performance success has not received much attention, especially in Turkey, despite Turkey being one of the major leagues in Europe. This study aims to fill this gap in the literature. It does so by investigating social performance using a two-stage stochastic frontier analysis drawing on evidence from the Turkish Super League between the 2012/2013 and 2017/2018 seasons. Results from the first stage illustrate that social efficiency leaders change almost every season. Results from the second stage of research identify which specific factors are diminishing the social technical efficiency for clubs in the Turkish Super League. It emerges that the fundamental source of social inefficiency in Turkey is the Passolig, an identification system implemented in 2014. Furthermore, it transpires that heterogeneity among the clubs’ hometowns is also highly influential on social efficiency. However, even though attendance has managed to recover back to pre-Passolig levels, social efficiency is still lower than the pre-Passolig levels.
Empowering Electric Vehicle Adoption: Innovative Strategies for Optimizing Charging Station Placement Based on Projected Demand
(Wiley, 2025) Cekyay, Bora; Kabak, Ozgur; Ozaydin, Ozay; Isik, Mine; Toktas-Palut, Peral; Topcu, Y. Ilker; Ulengin, Fusun
Electric vehicles (EVs) are pivotal for reducing transportation-related emissions; however, the lack of adequate charging infrastructure remains a significant barrier to their widespread adoption. This study presents a comprehensive methodology for optimizing EV charging station placement. It combines a gravity model, scenario analysis, and mixed-integer linear programming (MILP) to ensure a thorough and robust approach. The model aims to maximize accessibility by ensuring both path-level and overall system demand coverage across diverse scenarios, providing reassurance about the validity of the findings. The methodology is tested on the Bursa-& Idot;zmir motorway in Turkey, a strategic intercity route with rapidly growing EV penetration. Results reveal that the optimal configuration involves locating charging stations in seven of the nine service areas. This allocation secures a minimum path coverage ratio of 0.903, meaning 90.3% of the route is covered by charging stations, and an overall demand coverage ratio of 0.935, indicating that 93.5% of total demand is covered across all scenarios. A sensitivity analysis further shows that increasing the network to 45 chargers elevates reachability levels to above 97%, indicating the infrastructure scale required for reliable service quality. The findings underscore the practical applicability of the proposed framework, providing policymakers and infrastructure planners with robust, data-driven guidance for charging network expansion. By integrating demand forecasting with resilient optimization, this study advances both methodological and empirical insights, empowering the audience to make informed decisions for sustainable EV adoption.
Citation - WoS: 4
Citation - Scopus: 4
Engineered Rivers in Arid Lands: Searching for Sustainability in Theory and Practice
(Taylor & Francis, 2017) Schmandt, Jurgen; Ward, George; Kibaroğlu, Ayşegül
Beginning in the early twentieth century and progressing rapidly since the 1950s, large-scale water works have created engineered rivers. In dry-land basins they control flooding and provide water and energy to farms, cities and industry. Yet, they face numerous challenges. In 2013 we formed an interdisciplinary team to study future conditions of nine river basins worldwide. This paper presents the methodology and interim results for two of our basins, the Rio Grande and the Euphrates-Tigris. We conclude with a new definition of the sustainability of engineered rivers in arid lands, using dependable reservoir yield under drought conditions as the central indicator.
Citation - WoS: 1
Citation - Scopus: 1
Evaluation of Learning Management Systems Using Interval Valued Intuitionistic Fuzzy-Z Numbers
(Anadolu Üniversitesi, 2023) Ucal Sarı, İrem; Sergi, Duygu
The use of online education tools has increased rapidly with the transition to distance education caused by the pandemic. The obligation to carry out all activities of face-to-face education online made it very important for the tools used in distance education to meet the increasing needs. In line with these needs, radical changes have occurred in the learning management systems used in distance education. Therefore, in this study, it is aimed to determine the features that the systems used in distance education should have and to compare the existing systems according to these features. For this purpose, a novel fuzzy extension, interval valued intuitionistic fuzzy Z-numbers, is defined for modeling uncertainty, and AHP and WASPAS methods using proposed fuzzy numbers are developed to determine the importance of decision criteria and compare alternatives.
Citation - WoS: 3
Citation - Scopus: 3
Even Less Visible: Disadvantaged Children in Disadvantaged Countries
(Routledge, 2022) Tuncay, Ipek; Selçuk, Bilge; Can, Beril; Karakas, Cansel
In this paper, we have a quick look at the profile of developmental research in terms of its study samples, and then turn our attention to the findings of research on the COVID-19 pandemic and climate change, suggesting a notable increase in the number of people experiencing significant economic difficulties and a widening gap between the wealthy and the poor. While this is obviously a cause of concern for scientists, practitioners and policymakers, we suggest that the digital revolution which accelerated even more with the COVID-19 pandemic may open new ways to support healthy development and psychological wellbeing in socio-economically or developmentally disadvantaged populations. Moreover, acceleration of the digital transformation may also allow us to study the human mind and behaviour in countries economically categorized as 'under-developed' or 'developing', and under-represented in psychological science. Taking the recent advancements as a base, we contemplate the possibility that major technological changes facilitated by the recent COVID-19 pandemic might allow us to meet the scientific and applied goals of psychology more successfully.
Citation - WoS: 1
Citation - Scopus: 1
Examining the Role of Dark and Light Triad Traits on Sociosexuality
(Routledge Journals, Taylor & Francis Ltd, 2025) Urganci, Betul; Sevi, Baris; Dogruyol, Burak; Sakman, Ezgi
Sociosexual orientation-the tendency toward casual sex, is associated with dispositional components of personality such as higher scores of Dark Triad traits (narcissism, Machiavellianism, and psychopathy). Yet, it remains unknown which specific Dark Triad traits and Light Triad traits (Kantianism, Humanism, and Faith in Humanity) predict sociosexuality and its dimensions while controlling for the others. In the current study, using an online community sample (N = 308), we examined the links between Dark Triad traits, Light Triad traits, overall sociosexuality, and sociosexuality dimensions (attitude, behavior, desire). Using hierarchical regression, we found that only psychopathy emerged as the predictor of behavior, desire, attitude dimensions, and sociosexuality total score. This effect held when controlling for age, sex, relationship status, the other two Dark personality traits, and the Light Triad. Results suggest that individuals high on psychopathy have a greater tendency toward uncommitted relationships.

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