İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/11499/45993
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Article Türkiye’de Yol Güvenliği Performansının Çok Kriterli Değerlendirilmesi: Bütünleşik Centroidous-Ram Yaklaşımı(2025-12-03) Öztaş, TayfunRoad safety depends on numerous factors, and even the smallest error can result in severe injuries or fatalities.Therefore, with their irreversible consequences, traffic accidents have become a critical problem that threatens both public health and national economies. This study evaluates road safety in Türkiye’s 81 provinces through a Multi-Criteria Decision Making (MCDM) framework using official data from the Turkish Statistical Institute. The analysis follows a four-stage methodology. First, criterion weights were determined using the Centroidous method, the highest weight was assigned to the criterion of the number of traffic accidents per million population, while the lowest weight was assigned to the criterion of the number of licensed drivers. Second, provinces were ranked based on their road safety performance using the RAM method. As a result, Istanbul was identified as the best-performing province, whereas Muğla was identified as the lowest-performing province. Third, a sensitivity analysis was conducted under five different scenarios to analyze the effect of the changes in the criteria weights on the ranking results. Finally, a comparative analysis was carried out using the COPRAS, MABAC, TOPSIS, and WASPAS methods, and the validity of the proposed approach was verified with a correlation exceeding 91%.Article Time-Varying Inflation Co-Movement: Dynamic Factor Model with Global, Group, and Country-Specific Factors(Elsevier Science SA, 2026-05) Tunc, Ahmet; Nazlioglu, Saban; Yucel, Ali GokhanThis study examines global inflation co-movement by employing a dynamic factor model with time-varying parameters and stochastic volatility to extract global, group, and country-specific factors across 86 developed and developing economies from 1971 to 2023. The results reveal that (i) the global factor has gradually receded as the primary source of inflation variation, giving way to more group- or country-specific dynamics-though brief episodes of global synchronization reemerge during major crises; (ii) the group factor dominates inflation variation in developed countries; and (iii) the country-specific factor remains the main driver of inflation in developing countries.Article The Impact of Green Supply Chain Management Practices on Performance: An PLS-SEM Analysis for Environmentally Friendly Accommodation Enterprises(Springer, 2026-03-31) Karakas-Kelten, Zinnet; Savas, Halil; Balcioglu, Yavuz Selim; Sezen, BulentThis study examines the relationship between green supply chain management practices and performance outcomes in Environmentally Friendly Accommodation Facilities in Türkiye, using stakeholder theory as a theoretical lens. The research addresses a significant gap in the literature by investigating these relationships in the service sector using formative measurement constructs. Data were collected from 300 certified environmentally friendly accommodation facilities during February-March 2021, and relationships were tested using partial least squares structural equation modeling. The findings reveal that Internal Environmental Management has the strongest positive impact on all performance dimensions, with standardized path coefficients ranging from 0.420 to 0.493. Ecodesign and investment recovery positively influence both environmental and operational performance, while ecodesign also enhances positive economic performance. Customer collaboration demonstrates significant effects on cost management but shows no relationship with environmental or operational outcomes. Green purchasing does not show significant relationships with any performance dimension. These results indicate that accommodation facilities can improve performance by strengthening management support for environmental initiatives, implementing comprehensive environmental programs, and focusing on reduce-reuse-recycle strategies. This study contributes to the literature by employing formative constructs to examine green supply chain management in the underresearched accommodation sector, treating economic performance as a multidimensional construct that encompasses both benefits and costs, and providing insights specific to emerging economy contexts. The findings offer practical guidance for hoteliers seeking to balance environmental sustainability with performance improvement.Article Sürdürülebilir Kent Hareketliliği Performans Değerlendirmesi İçin Yeni Birçok Kriterli Karar Verme Yaklaşımı: Merec-Rawec Uygulaması(2026-01-15) Öztaş, TayfunThe continuous growth of urban populations worldwide has made urban mobility increasingly complex. As a multifaceted phenomenon shaped by diverse factors, urban mobility plays a critical role in shaping the quality of life. This study aims to evaluate urban mobility not only from a transportation perspective but also within a broader sustainability framework by assessing city performance through objectively determined criterion weights and ranking cities accordingly. For this purpose, the MEREC-RAWEC approach is proposed. The analysis was conducted using six criteria and seven alternatives aligned with the sustainability dimensions outlined in the ISO 37120 standard, drawing on data from the Sustainable Mobility Readiness Index. The MEREC results indicate that Finance (0.2848) is the most important criterion in sustainable urban mobility, while Transport Supply (0.0700) is the least significant. Using these weights, the RAWEC method ranked Buenos Aires as the highest-performing city, whereas Cape Town ranked the lowest. Sensitivity analysis under four scenarios showed that the rankings were largely stable with respect to variations in weights. To ensure robustness, the results were compared with those of the MABAC, EDAS, CODAS, and MAIRCA methods. The findings revealed full consistency with MABAC and MAIRCA and a strong correlation (89%) with EDAS and CODAS, confirming the reliability of the approach. Finally, the study offers policy recommendations for city administrations and decision-makers to foster the development of more livable and sustainable urban environments.Article Quantile Regression Evidence on Capital Flows to European Transition Economies: The Role of Institutions and Global Risk (1997–2022)(Routledge Journals, Taylor & Francis Ltd, 2026-03-16) Akın, Tuğba; Güneş, Sevcan; Bolaman Avcı, ÖzgeThis paper examines the drivers of portfolio equity and debt flows to European transition economies using an instrumental-variables quantile regression approach. Results show that the importance of global push and domestic pull factors varies across the flow distribution. Among domestic variables, government effectiveness emerges as robust explanatory factor: its association with both equity and debt inflows is positive and statistically significant from the median to the upper quantiles, but weak at the lower quantile. Moreover, the magnitude of its effect increases toward the upper tail, indicating a crucial role in enhancing investor confidence in sovereign debt markets during high-inflow episodes.Article Evaluation of Cryptocurrency Exchanges Using the Integrated FSIWEC and FRADAR Methods(Emerald Group Publishing Ltd, 2026-03-31) Katranci, Ali; Kundakci, NilsenPurpose This study aims to evaluate and rank cryptocurrency exchanges to determine the most suitable platform for investors. Design/methodology/approach The study uses a multi-criteria decision-making (MCDM) framework by integrating the fuzzy simple weight calculation (FSIWEC) and fuzzy ranking based on the distances and range (FRADAR) methods. Based on expert evaluations, ten cryptocurrency exchanges - Binance, Paribu, BtcTurk, Bitexen, Bitlo, KuCoin, Icrypex, Coinbase, Bybit and Gate.io - were analyzed. Findings The results show that Binance is the best-performing cryptocurrency exchange, while Bitlo is the worst-performing alternative among the platforms analyzed. Research limitations/implications The analysis was conducted with a limited number of decision-makers and focused on a specific set of criteria and exchanges. Practical implications The integration of FSIWEC and FRADAR offers a reliable, comprehensive and context-sensitive methodology for the evaluation of cryptocurrency exchanges. Social implications This study integrates methodological innovation with practical utility, making a dual contribution to academia and investment practice while fostering better-informed choices in the evolving digital financial ecosystem. Originality/value The contribution of this study is twofold. Firstly, by applying FSIWEC and FRADAR methods together, it demonstrates the feasibility of integrating these techniques into an MCDM framework. Second, this is the first empirical study to apply these methods to the valuation of cryptocurrency exchanges, making an innovative contribution to the literature.Article Digital Innovation Performance Evaluation of European Union Member and Candidate Countries with IDOCRIW and CRADIS Methods(Scientific Oasis, 2026-01-01) Arman, Kevser; Kundakcı, Nilsen; Katrancı, AliArticle Avrupa Birliği’ne Aday Ülkelerin Pandemi Öncesi Ve Sonrası Siber Güvenlik Performansı: Centroidous Ve Raps Yöntemleri İle Bir Değerlendirme(2026-01-12) Öztaş, Gülin ZeynepDigital transformation introduces complex cybersecurity risks, and countries and institutions must evaluate their capacities to identify, anticipate, and address these threats effectively. Accordingly, there is a growing need for tools to assess digital security capabilities and evaluate cybersecurity performance. In parallel, the European Union has introduced legally binding cybersecurity obligations for both member and candidate countries through regulatory frameworks. As a result, assessing cybersecurity performance has become not only a technical matter but also a political and legal imperative. This study analyzes the cybersecurity performance of European Union candidate countries in two distinct periods: before and after the pandemic. Twelve performance indicators from the National Cyber Security Index were objectively weighted using Centroidous, and the performance of nine candidate countries was subsequently ranked using the RAPS method. By proposing an alternative methodology for objectively measuring cybersecurity performance, this study contributes to decision-making processes for policymakers. The findings reveal that, in the post-pandemic period, the importance of cybersecurity indicators changed considerably. Policy development, incident response, and training gained importance, while cyber threat sharing, electronic identity and trust services, protection of personal data indicators became relatively less significant. Furthermore, the analysis pointed out which countries were prepared for the rapid digitalization during the pandemic. According to the findings, Georgia and Ukraine transformed crisis into an opportunity by strengthen their cybersecurity capacities, whereas Moldova and Montenegro made insufficient progress. Türkiye has demonstrated a moderate level of cybersecurity performance, however, it needs to accelerate its cybersecurity efforts to enhance its competitive standing.Book Part A New Multi-Criteria Decision-Making Method Under Neutrosophic Environment: ARAS Method with Single-Valued Neutrosophic Numbers(World Scientific Publishing Co., 2025-11-10) Adalı, Esra Aytaç ; Öztaş, Tayfun; Özçil, Abdullah; Öztaş, Gülin Zeynep; Tuş, AyşegülArticle Türkiye’de Vergi Gelirlerinin Belirleyicileri: Kurumsal Kalitenin Etkisi(2023) Akçay, FatihDevletin varlık sebebi kamusal mal ve hiz- metlerin üretimini/sunumunu sağlayarak top- lumsal ihtiyaçların giderilmesidir. Bu süreç ka- mu harcamalarının yapılmasını gerektirmekte ve vergiler kamu kesiminin en temel finansman kaynağını oluşturmaktadır. Vergi gelirleri ise ekonomik, mali, sosyal, siyasi, kurumsal vd. faktörlerden etkilenmektedir. Bu çalışmada, ge- lişmekte olan ülkelerde çok önemli bir politika aracı olan vergi gelirlerinin düzeyini etkileyen ku- rumsal faktörler Türkiye için analiz edilerek, iyi bir vergi sistemi oluşturulmasında politika yapı- cılara kanıtlar sunulmaktadır. 1996-2021 dönemi için kurumsal kalite göstergesinin altı alt bileşeni ile vergi gelirleri ilişkisi ARDL sınır testi ile analiz edilmektedir. Değişkenler arasında uzun dönem ilişkisi bulunmaktadır. Analiz bulguları; yolsuz-luğun kontrolü ve hükümet etkinliği değişken- lerinin vergi gelirlerini pozitif etkilediğini, ifade özgürlüğü ve hesap verilebilirlik değişkenin ise negatif etkilediğini göstermektedir. Siyasi istik- rar, hukukun üstünlüğü ve düzenleyicilik kalitesi değişkenlerinin vergi gelirleri üzerinde anlamlı bir etkisi bulunamamıştır.