Makale Koleksiyonu | İşletme Bölümü

Bu koleksiyon için kalıcı URI

https://hdl.handle.net/11729/4892

Listeleniyor 1 - 20 / 171

Backcasting Bitcoin volatility: ARCH and GARCH approaches
(Suat Teker, 2024-12-31) Teker, Dilek; Teker, Suat; Demirel Gümüştepe, Esin
Purpose- The primary purpose of this study is to model Bitcoin price volatility and forecast its future price returns using advanced econometric models such as ARCH and GARCH. The study aims to enhance risk management strategies and support informed investment decisions by addressing the time-varying nature of Bitcoin’s volatility. The research explores the persistence of volatility shocks and the clustering of price movements to provide insights into market dynamics. Methodology- This research examines daily Bitcoin closing prices over the period from January 2020 to October 2024. The data was preprocessed to ensure reliability, including applying logarithmic transformations to standardize the data and eliminate trends. Stationarity tests, such as the Augmented Dickey-Fuller (ADF), Phillips-Perron (PP), and KPSS tests, were conducted to confirm the series' stationarity. The ARCH-LM test was utilized to detect volatility clustering which is essential for validating the use of ARCH and GARCH models. Following this, ARIMA models were employed to define mean equations and GARCH models were used to estimate conditional variance and capture volatility dynamics. The dataset was split into training and validation subsets with data from July to October 2024 reserved for validation. Findings- The findings demonstrate that Bitcoin’s price movements exhibit significant volatility clustering and persistence of shocks which are key characteristics effectively captured by ARCH and GARCH models. These models provide valuable insights into the volatility patterns of Bitcoin, supporting their application in cryptocurrency analysis. Despite their robustness, the models face limitations in precise return forecasting during highly volatile periods, suggesting the need for further refinement or integration with advanced approaches. Conclusion- The research concludes that ARCH and GARCH models are effective tools for understanding and forecasting Bitcoin’s volatility. The study underscores the importance of acknowledging volatility persistence and clustering effects when analyzing cryptocurrency price behavior. However, it also highlights areas for improvement in econometric modelling by including the exploration of hybrid models and the integration of macroeconomic factors to enhance forecasting accuracy.
Impacts of cross-border e-commerce on growth of Turkish SMEs
(Suat Teker, 2024-12-31) Orman, Irmak; Teker, Suat
Purpose- Cross-border e-commerce has emerged as a critical enabler for the globalization of small and medium-sized enterprises (SMEs), particularly in the wake of the COVID-19 pandemic. This study explores the transformative impact of digital marketplaces, innovative payment systems, and logistics advancements on the internationalization of Turkish SMEs. Leveraging a mixed-methods approach, the research combines quantitative data analysis with qualitative insights from industry stakeholders. The findings highlight the significant role of platforms such as Amazon and Alibaba in reducing market entry barriers, the importance of secure digital payment systems in fostering trust, and the contribution of logistics innovations to the growth of small-package exports. By aligning with global consumer trends and leveraging digital tools, Turkish SMEs can overcome traditional trade barriers, enhance competitiveness, and access broader markets. The study concludes with strategic recommendations for policymakers and SMEs, emphasizing the need for regulatory support and investment in digital infrastructure to maximize the benefits of cross-border e-commerce. Methodology- The study was carried with a mixed-methods approach. Quantitative Analysis: Data from the Turkish Statistical Institute, Turkish Exporters Assembly (TİM), and global e-commerce platforms were analyzed to track export trends, marketplace performance, and consumer behavior. Qualitative Insights: Interviews with SME owners, e-commerce experts, and policymakers provided in-depth perspectives on challenges and opportunities. And as case studies, Successful Turkish SMEs from sectors like textiles and food were examined to identify strategies for internationalization. Findings- The COVID-19 pandemic has significantly accelerated e-commerce adoption in Turkey, leading to substantial growth in online spending and reshaping various sectors of the economy. Below are some of the main findings; platform Impact, global marketplaces significantly increase SME visibility and reduce market entry barriers; digital payment systems, enable secure, efficient transactions, fostering trust among international customers; small package exports, innovations in logistics, such as faster shipping, have fueled SME participation in global trade; post-Covid consumer behavior, the pandemic accelerated global e-commerce adoption, creating new opportunities for Turkish SMEs. Conclusion- Cross-border e-commerce represents a transformative opportunity for Turkish SMEs, enabling them to overcome traditional barriers and compete effectively in global markets. By leveraging digital platforms, payment innovations, and logistics advancements, SMEs can drive growth, internationalization, and competitiveness. Strategic support from policymakers will be crucial in maximizing the potential of this digital trade revolution.
Rising value of data in contemporary higher education
(Suat Teker, 2024-12-31) Eşkinat, Ali; Teker, Suat
Purpose - The purpose of this study is to reflect the importance of effective use of data to predict and improve academic success as an essential criterion for assessing the quality of higher education institutions in the 21st Century. This paper intends to clarify importance of data and its evaluation components, namely Educational Data Mining (EDM), Learning Analytics (LA), Artificial intelligence (AI) and Machine Learning (ML), as integral part of Fifth Generation Universities (UNIVERSITY 5.0) era in the globalized competitive higher education sector. For this reason, this paper advocates “Rising Value of Data in Contemporary Higher Education” for the university of the new age. Methodology - The study employs a literature review aiming to reflect the new atmosphere and requirements in the higher education system based on selected topics. A comprehensive analysis on the game changer role of data in the higher education institutions was considered. The aim was to identify the difference created by effective use of data in higher education institutions to predict and improve academic success in the competitive academic environment of the new era. Findings - The analysis reveals that higher education institutions should understand the essential role of educational data with the expansion of digital revolution and rapid change in technologies in the 21st Century and design their strategies accordingly. Notably, it is clearly seen that the universities have not only effectively use educational data and its evaluation components namely Educational Data Mining (EDM), Learning Analytics (LA), Artificial intelligence (AI) and Machine Learning (ML) but also internalize the reality of their rising value to predict and improve academic success as well as creating a significant financial contribution to their development. As a matter of the fact, universities established many projects and effectively used their Learning Analytics (LA) tools. Besides, the emergence of Artificial intelligence (AI) and Machine Learning (ML) enhanced the efficiency and effectiveness of management operations. Conclusion - Findings may be concluded that universities need to apply the effective use of data particularly in the context of new era like Industry 5.0, Society 5.0 and University 5.0 to obtain academic success, which is considered as an essential criterion for assessing the quality of higher education institutions. Indeed, universities have to follow a data- driven culture as greater demands of universities already appeared for retention, completion and graduation rates of students to improve student success. As a matter of fact, the effective use of Educational Data Mining (EDM) and Learning Analytics (LA) is going on for the last two decades in higher education institutions. Indeed, Artificial intelligence (AI) and Machine Learning (ML) are effective in data management as two impressive game changers for universities changing educational world from the financial perspective. For this reason, it may be argued that the effective use of data and its evaluation components, namely Educational Data Mining (EDM), Learning Analytics (LA), Artificial intelligence (AI) and Machine Learning (ML) are considered as the integral part of Fifth Generation Universities (UNIVERSITY 5.0) era in the globalized competitive higher education sector of 21st Century.
Türkiye’de bölgesel işsizliğin belirleyicilerinin mekânsal panel veri modelleriyle analizi
(TÜİK, 2024-12-31) Demirci, Beyda; Yerdelen Tatoğlu, Ferda
İşsizlik, ekonomik kalkınmanın önünde büyük bir engel olup, bireylerin yaşam kalitesini doğrudan etkileyen önemli bir sorundur. İşgücü piyasasındaki dengesizlikler, yetersiz istihdam olanakları ve bölgesel farklılıklar, işsizlik oranının dalgalanmasına yol açmaktadır. Bu nedenle, bölgesel düzeyde işsizliği etkileyen sosyo-ekonomik faktörlerin belirlenmesi, işgücü piyasasında etkili politikalar geliştirmek için önemlidir. Bu çalışmada, Türkiye’nin İBBS Düzey 2’deki 26 bölgesi için 2014-2022 yıllarına ait verilerle işsizlik oranında mekânsal etkilerin olup olmadığı ve işsizlik oranını açıklayan faktörler mekânsal panel veri modelleri yardımıyla incelenmiştir. Test sonuçlarına göre, mekânsal hata modeli (SEM) uygun model olarak belirlenmiş ve bu modelin tahmin sonuçlarına göre bölgesel büyüme oranı, girişim sayısı ve genç nüfustaki artışın bölgesel işsizliği azalttığı; diğer yandan üniversite mezun sayısı ve yoksulluk oranındaki artışın işsizlik oranını arttırdığı tespit edilmiştir. Bu sonuçların, bölgesel işsizliği azaltmaya yönelik politikaların belirlenmesinde katkı sunacağı düşünülmektedir.
Marx’ın kâr oranının düşme eğilimi yasasına yönelik eleştiriler üzerine bir değerlendirme
(Birleşik Metal İş Sendikası, 2024-07-31) Güzelsoy, Halit; Çakmak Şahin, Senem
Kâr Oranının Düşme Eğilimi Yasası (KODEY), Marksist iktisat literatüründe sıkça tartışılan konulardan biridir. KODEY, kâr oranının zamanın her anında düşmekte olduğunu belirtmemekte fakat uzun dönemde ortalama kâr oranının düşme eğiliminde olacağını ifade etmektedir. Yasa, Marx’ın Kapital’inin yayımlandığı tarihten günümüze kadar birçok tartışmaya neden olmuştur. Söz konusu tartışmalar konuya ilişkin zengin bir literatür oluşmasını sağlamıştır. Özellikle kriz dönemleri, ilgili tartışmaları yeniden canlandırmaktadır. Bu çalışmada Kâr Oranının Düşme Eğilimi Yasası’na ilişkin günümüze kadar gelen tartışmalar gözden geçirilmektedir. Yasaya ilişin tartışmalar iki temel izlek üzerinden takip edilmiştir. Bunlardan ilki (Okishio Teoremi) fiziksel çıktı miktarına odaklanmakta ve yasanın tutarsızlığını iddia etmektedir. İkincisi ise yasanın gerçekte işleyip işlemediğinin belirtilemeyecek kadar muğlak ve belirsiz olduğu iddiasına dayanmaktadır. Söz konusu tartışmalar yine aynı izlek korunarak yöntemsel olarak da ayırt edilebilmektedir. Yasaya getirilen eleştiriler ve bu eleştirilere verilen cevaplar gözden geçirildiğinde, yasanın Marksist iktisatçılar arasında kapitalist sistemin içsel çelişkilerini gösteren önemli ölçüde bütünlüklü bir kriz teorisi olarak kabul edildiği söylenebilmektedir.
An innovative approach for higher education
(Suat Teker, 2024-07-30) Eşkinat, Ali; Teker, Suat
Purpose- The purpose of this study is to reflect the position of higher education institutions facing to adapt their strategies to the competitive priorities of the digital transformation era. This paper intends to clarify the new needs and demands of the prospective college students and the required response of universities to stay competitive in the new atmosphere. For this reason, this paper advocates “An Innovative Approach for Higher Education” model for the contemporary university of the new age. Methodology-. The study employs a literature review aiming to reflect the new needs and conditions in the higher education system based on selected topics. A comparative analysis of the needs of higher education institutions against the demands of college students and employers of the world of 2020s was considered. The aim was to analyze the required actions of the universities in the competitive environment concerning demands of the prospective college students including non-educational services and examine the potential for a model of An Innovative Approach for Higher Education. Findings-. The analysis reveals that higher education institutions should adapt themselves to the expectations of new student generations and design their strategies accordingly. Notably, it is clearly seen that the universities have not only be digitalized in their conventional noneducational services but also be ready to supply the demands and conditions of the competition in the digital transformation era. As a matter of the fact, over the Covid-19 crisis most universities keep increasing the use of hybrid model in all disciplines in their education system forced by the market demand. Furthermore, new concepts like industry 5.0 and Society 5.0 provide a basis for the University 5.0 model in parallel to the expectations of the new student generations. Under these circumstances, the results reveal that contemporary universities of this age should concentrate on such topics as understanding Generation Z’s perspective on embracing digital technologies, academic excellence, effective digital transformation in non-educational services and supplying employers’ demands to build a model of An Innovative Approach for Higher Education. Conclusion-. Findings may be concluded that students of digital age extend minor interest in conventional non-educational facilities. Indeed, their priorities have changed in parallel to technological advantages of digital transformation era and their value expectation from undergraduate education towards their career. As a matter of fact, the Covid-19 period brought a serious momentum towards a digital transformation of universities. For this reason, it may be argued that there may be no need for usual conventional non-educational components, and related elements for higher education in the near future. Instead, a significant need for a clear perception to meet the expectations of college students and prospected employers reflecting the new conditions of 21st Century is valid. For this reason, universities should rethink and redesign their structures. Indeed, blended learning in traditional universities and inevitable growth of digital higher education institutions named as University 5.0 will be seen after 2030s.
Export potential of Turkish SMEs
(Suat Teker, 2024-07-30) Teker, Suat; Teker, Dilek; Orman, Irmak
Purpose- Digital channels are gaining more and more share from trade and commerce, especially after Covid 19 pandemic. People have adopted to online buying and marketplaces became important retailing tools for manufacturers. E-commerce is rising not only in closed commercial areas but also across different countries, even continents with developments in cross-border e-commerce. Governments, global digital platforms, consumer habits are creating and supporting the demand of buying online from anywhere and numbers are showing that this creates an opportunity for Turkish businesses to become exporters. This study aims to highlight the potential for small and medium sized businesses in Turkey to become exporters. Methodology- The study examines historical export growth data of Turkey in detail using secondary data. The historical data is used to make a projection for future and highlight the potential of growth for Turkish SMEs. Current marketplace platforms’ business models are also examined and carefully analyzed to present an understanding of the potential business models. Findings- The numbers are showing that Turkish exports are growing in Europe and USA. Capex heavy industries have the highest share among the exports but e-commerce is also growing. Some industries like textile, jewellry and small appliences has a higher growth potential withing cross border e-commerce. Conclusion- Adoption to online retail is getting higher and higher. More people are buying from online marketplaces and the origin of the transaction is losing its importance with one-day deliveries. It is important to open shops not only physical but also on different platforms. It is easier for business owners to sell across the world and become exporters. By having international customers, businesses distribute regional risks and also become financially stronger. It is important for Turkish SMEs to understand their risks and seek international growth opportunities, such as doing exports. Turkey’s unique geographical location is a very important asset but Turkish businesses should keep in mind that all international producers are now seeking opportunities to create through online platforms.
National income distribution: a countrywise analysis
(Suat Teker, 2024-07-30) Teker, Suat; Teker, Dilek; Güzelsoy, Halit
Purpose- This study aimsto analyze the changes in income distribution for selected developing countries over a time period in between 2015 and 2022, 8 years of observations. It hypothesizes that Covid19 pandemic period of 2020 and 2021 significantly impacted income distribution in all developing countries investigated. Methodology- Income distribution data for this study are extracted from the World Inequality Database addressing household income adjusted for after-tax income. Each household’s income is equally divided among the adult population aged 20 or older. The data are categorized into 10% income groups resulting in ten distinct income levels for the analysis. The study examines income distribution of five developing comprising Turkiye, Czechia, Greece, Hungary, and Romania. Findings- The top 10% of the population in the developing countries take 33% of national income on average. The average per capita income was $34,849 in 2015 and increased to $42,610 in 2022 after a dip of with a similar Covid19 dip. However, social policies generally failed resulting in income shifting from lower and middle-income groups to the top 30%. Conclusion- All countries implemented various social programs to support those most affected by Covid19. The social policies and measures implemented by governments to mitigate the effects of Covid19 appear to have been more successful in some of the developing countries comparing to the other developing countries. Although the developing countries could manage to increase their overall national income, they failed to restore their pre-pandemic income distribution. Significant income transfer occurred from the bottom 20% and middle 50% to the top 30% in these countries.
Determinants of Bitcoin price movements
(Suat Teker, 2024-07-30) Teker, Dilek; Teker, Suat; Demirel, Esin
Purpose- Investors want to include Bitcoin in their portfolios due to its high returns. However, high returns also come with high risks. For this reason, the volatility prediction of Bitcoin prices is the focus of attention of investors. Because Bitcoin's volatility is used as an important input in portfolio selection and risk management. This means that the models to be used in predicting Bitcoin volatility increases the importance of performance. In this research; A comparative examination of the models applied for Bitcoin shows an effective performance in volatility prediction. It is very important for evaluation. The aim of this study is to model Bitcoin price returns and to examine future return predictions and return directions using historical Bitcoin prices. Methodology- Many models have been used in studies on financial instruments and price predictions. Models such as linear and nonlinear regression, Random Walk Model, GARCH and ARIMA fall into this category. Nonlinear econometric models such as ARCH and GARCH are used for financial time series with variable volatility. These models assume that the variance is not constant. In this study, first Bitcoin price returns for the period between January 2020 and December 2023 will be modeled with the GARCH model, and then the ARCH-GARCH models will be used for future prediction of returns for the period between January 2024 and June 2024. Finally, the actual values will be compared with the forecasted values. In other words, the primary aim of this study is to use the daily Bitcoin closing price between May 2020 and December 2023 to estimate the returns for the periods of 2024 and compare it with the actual returns. Findings- The analysis reveals that GARCH Model results showed that in the mean and variance equations, it is seen that all variables are except intercept of the mean equation significant according to the error level of 0.05. Namely, the reaction and persistence parameters are significant accourding to 0.05 in the variance equation. Both the coefficient of the reaction parameter and the coefficient of the persistent parameter are higher than zero (positive). Also, the coefficient of the reaction parameter plus the coefficient of the persistent parameter approximately equals 0.72. That is, it is lower than 1 and higher than zero (positive). The level of persistence is not too high. So, we do not think about non-stationary variance in the model. Reaction parameter’s coefficient is 0.13. And persistence parameter’s coefficient is 0.58. As we can see, persistent parameter is much higher than reaction parameter. That is, when there is a new shock that creates the persistent parameter, that shock will be in effect for a long time, it will not disappear immediately. That is, a significant part of the shock that occurs in one period flows into the next period. After determining the appropriate mean and variance models, a forecast is made using Automatic ARIMA forecasting for BITCOIN return forecasting. This forecast is made for the first five months of 2024, without adding the actual values of the first five months of 2024 to the data. The program ranks the most appropriate model. The program chose GARCH(3,3) as the most appropriate model in "bitcoin return prediction". Conclusion- The results of the test applied in the study can be summarized that the unit root test results showed that it was necessary to work with return series. GARCH(1,1) model results show when there is a new shock that creates the persistent parameter, that shock will be in effect for a long time, it will not disappear immediately. That is, a significant part of the shock that occurs in one period flows into the next period. According to GARCH automatic forecasting results, the best GARCH model that models Bitcoin return is the GARCH(3,3) model. According to these model results, although the slopes of the actual and forecasted return series move in the same direction, the model remains weak for forecasting. In future studies, it may be recommended to estimate Bitcoin returns with non-linear models.
Ageism and glass ceiling: barriers to advancement for women in Turkish banking
(Suat Teker, 2024-07-30) Dönmez, Sena; Tuncay Çelikel, Aslı
Purpose- The Turkish banking industry is known for its dynamism, where customer issues demand swift resolution, decisions must be made expeditiously, and employees are persistently pressured to meet targets. This engenders a highly stressful and demanding work environment. This paper examines the role of ageism in this industry, emphasising how gender and age-related biases intensify the “glass ceiling” as a chronic syndrome for employees. The objective of the research is to comprehend the impact of these biases on women across different age groups. Methodology- In-depth interviews were conducted with 20 female banking employees in Istanbul, Turkey. The participants included managers and branch employees from 16 different banks. A convenient sampling method was employed, and participants were invited to respond to open-ended questions regarding their experiences and motivations. Findings- The banking sector is characterised by a high level of stress, tight deadlines and the pressure to achieve key performance indicators (KPIs), which can have a significant impact on the well-being of women employees across all age groups. The study revealed a generational divide in motivations and expectations. Younger women prioritised favourable work conditions and salary, while senior women expressed a desire for early retirement due to burnout. Despite this, women of all age groups articulated a desire for career advancement and recognition, underscoring the pivotal role of managerial support and transparent expectations for future success. While extrinsic rewards remained a primary motivator, intrinsic rewards also played a role. Additionally, generational differences in expectations regarding motivation were observed. Conclusion- The dissolution of the glass ceiling necessitates the creation of an environment wherein individuals from disparate generational cohorts are able to provide mutual support, and age-based discriminatory practices are reduced. The acknowledgement and remuneration of employees’ competencies and expertise, in conjunction with the promotion of collaborative endeavours, can facilitate the development of a more equitable and nurturing work environment.
Finans sektöründe dijital dönüşüm uygulamaları ve dolandırıcılık tespiti
(Işık Üniversitesi Yayınları, 2024-10-31) Aktay, Habibe; Soykut Sarıca, Yeşim Pınar
Teknolojik inovasyonlarda yaşanan gelişmeler ışığında rekabet şartları küresel düzeyde değişmiştir. Bu değişim ve dönüşümlerden finans sektörü de nasibini almıştır. Artan rekabet ile şirketlerin sürdürülebilir rekabet avantajı elde etmeleri, müşteri memnuniyeti sağlamaları ve pazar paylarını arttırmalarının yolu tüm iş süreçlerini dijitalleştirmelerinden geçmektedir. Dolayısıyla örgütlerin manuel olarak yürüttükleri tüm iş sistemlerini bilişim sistem ve teknolojilerine entegre etmeleri gerekmektedir. Bu sayede örgütsel hedeflere ulaşma noktasında daha etkili ve verimli bir yol tercih edilmiş olacaktır. Tüm bunların sistem güvenliğinin sağlanarak yapılması gerekmektedir. Bu çalışmanın amacı mevcut literatür incelenerek finans sektöründe dijitalleşme olgusuna değinme ve dolandırıcılık tespitinde kullanılacak strateji ve algoritmalar hakkında uygulayıcılara ve teorisyenlere faydalı olacak kurumsal alt yapı ve içgörü sağlamaktır. Araştırma kapsamında finansal hizmetlerde dijital dönüşümü sağlayan kavramların temel unsurları ve bileşenleri verilmiş olup, dolandırıcılık tespitinde kullanılan algoritmalar incelenmiştir. Bu çalışma sonucunda dijitalleşmenin finansal ve örgütsel süreçleri büyük oranda iyileştirdiği fakat dijital sistemlerin siber saldırıları da olanaklı kıldığı sonucuna ulaşılmıştır. Dolandırıcılık tespitinde veri madenciliği ve makine öğrenmesi algoritmalarının faydalı olduğu sonucuna ulaşılmıştır. Makine öğrenmesi algoritmaları arasında Sinir Ağları(Neural Networks), Rastgele Orman(Random Forest), Destek Vektör Makineleri(Support Vector Machines (SVM)) ve Gradyan Güçlendirme Ağaçları (Gradient Boosting Trees) algoritmalarının her biri doğruluk ve performans kriterleri açısından değerlendirildiklerinde yüksek performans gösterdikleri sonucuna ulaşılmıştır. Dolandırıcılık tespitinde algoritmalar ve farkındalık stratejilerinin uygulanmasının kurumlar lehine olduğu sonucu çıkarılmıştır.
Gender difference in risk and confidence perception: implementation with logit model
(Suat Teker, 2024-12-31) Teker, Dilek; Teker, Suat; Demirci, Beyda
Purpose - This study aims to understand individuals’ behaviors and perceptions regarding investment preferences. Specifically, it examines the differences in investors’ perceptions of “concerns about losing money due to investment decisions” and “confidence in their knowledge of portfolio creation and management” based on the gender variable. Methodology - The study utilizes survey data from 69 participants (29 female and 40 male). It employslogit models to analyze two dependent variables: (1) the stress level due to concerns about investment decisions and (2) confidence in portfolio management and financial knowledge. Gender is the key independent variable, with marginal effects calculated for unambiguous interpretation. Findings - The results indicate that gender has a statistically significant impact on both stress and confidence levels. Women are 21.2% more likely than malesto experience stress due to concerns about investment decisions. Conversely, females are 18.5% less likely to feel confident about their financial knowledge and portfolio management abilities than males. These findings reflect the gender-based differences in risk perception and confidence. Conclusion -The study highlights the critical role of gender in shaping investment behaviors. Women tend to exhibit higher risk aversion and lower financial confidence than men. To address this disparity, targeted financial education programs and awareness initiatives are recommended to enhance women’s financial literacy and confidence. Bridging this gap can contribute to improved financial participation and decision-making among women.
A qualitative study of women employees in banking regarding the context of gender inequality and the glass ceiling syndrome
(Işık Üniversitesi Yayınları, 2025-04-30) Dönmez, Sena; Tuncay Çelikel, Aslı
In this research, we aim to address the glass ceiling syndrome arising from inequalities in business due to individual and environmental pressures, focusing on understanding the barriers women employees face in advancing their careers. The theoretical framework is based on theories that explain gender dynamics, including gender role conformity, human capital, statistical discrimination, career ladder barriers, social exclusion, social closure, and gendered organizations. Mismatched preferences, conflict, boundary management, attribution biases, stereotypes, feminist approaches, and capability-based theories also support this framework. A country-specific analysis was conducted by examining the history of women’s labor force participation. Using convenience sampling, in-depth interviews were conducted with 20 white-collar female bank employees across 16 banks. Content analysis was used to explore the perceptions of female employees regarding the glass ceiling in the sector. The primary challenges hindering women’s advancement include stereotypical perceptions, sticky floors rooted in social roles, mismatched aspirations, ageism, communication conflicts, managerial biases based on marital status, and discomfort in the workplace. Future-oriented solutions are provided by exploring root causes. Managers must recognize that motherhood does not inherently impede women’s Professional capabilities. Comprehensive training and awareness programs are crucial for management and female employees to address the sticky floor phenomenon.
Financial sustainability of higher education system
(PressAcademia, 2024-01-15) Eşkinat, Ali; Teker, Suat
Purpose- Financial sustainability is vital for the higher education systems in the global competitive atmosphere of the world of 2020s. This paper reviews a comparative analysis between the budgets and expenditures of the Turkish and British higher education systems, beside a view on those of the OECD countries. This paper intends to clarify Turkish higher education system’s difficulties in financial sustainability to provide required academic standards due to increasing costs and number of students versus the economic strength of significant actors such as the United Kingdom in the globalized competition. For this reason, this paper advocates cost advantages provided by the application of effective online education model to acquire financial sustainability clarifying the rise of digital universities by the 2030s. Methodology-. The study employs a literature review aiming to perform a comparative analysis on the financial structures of Turkish and British higher education systems. Moreover, OECD data were also reflected. The aim was to identify the possible difficulties of Turkish higher education system in financial sustainability to provide required academic standards in the competitive global area and find a contemporary solution. Findings- The analysis reveals that the Turkish higher education system have disadvantages in providing financial sustainability under the conditions of increasing costs as well as number of students in order to reach the required standards in the global league. Notably, it is clearly seen that efective application of online education strategy is an opportunity to balance revenues and expenditures in this way. As a matter of the fact, the effect of digital transformation era and the attitude of Generation Z students have already prepared this atmosphere. Conclusion-. Governments highly financed higher education systems after 20th Century. However, financial problems emerged due to increasing number of students and increasing costs. Eventhough the budgets had continuously been increased, Turkish higher education system have realized lower expenditures in the OECD average. Problems in financial sustainability to provide required academic standards have clearly been noticed in the global competitive atmosphere while compared with the example of the United Kingdom. Over the Covid19 crisis, universities successfully implemented hybrid education around the world increasing the effect of online systems forced by Generation Z’s perspective on embracing Digital Technologies. So, effective application of online education model appeared as a new opportunity for Turkish higher education system to provide financial sustainability decreasing costs and also efficiently compete in the global area. Indeed, blended learning in traditional universities and inevitable growth of digital higher education institutions named as University 5.0 will be seen after 2030s.
The effects of policy rate announcements on the exchange rates
(PressAcademia, 2024-01-15) Teker, Suat; Teker, Dilek; Demirel, Esin
Purpose- Exchange rate is the value of a country's national currency against foreign national currencies. In this context, the exchange rate is considered an important macroeconomic indicator in evaluating the country's economy. The failure to control the exchange rate may damage economy significantly. It is possible to understand this from the 2001 crisis in Turkey, known as 'Black Wednesday', and the foreign Exchange crisis that started in Thailand in 1997 and affected many East Asian countries. Interest rate is one of the critical determinants affecting the exchange rates. Therefore, changes in interest rates are expected to affect the level of exchange rates. When there is an increase in interest rates, foreign capital flow is expected for that particular country. Hence, a decrease in exchange rates is expected for the excess capital flows. This study aims to analyze the relationship between exchange rates and interest rates, considering the last 10 announcements of the interest policy of the Central Bank of the Republic of Turkiye. These announcements are between January 19, 2023 and October 26, 2023. The study used the TL/USD exchange rates and 10-year government bond interest rates to measure the relationship in between these two variables. Methodology-The aim of this study is to analyze the relationship between the dollar exchange rate and government bond interest rates for Turkiye. For this purpose, data is collected for the days when the last 10 policy rates published by the CBRT were announced. Data is obtained investing.com. Vector Autoregression (VAR) is used to measure the relationship in between two variables. The VAR system is based on empirical regularities embedded in the data. The VAR model may be viewed as a system of reduced form equations in which each of the endogenous variables is regressed on its own lagged values and the lagged values of all other variables in the system. Vector Autoregressive models are widely used in time series research to examine the dynamic relationships exist in between variables that interact with one another. In addition, VAR models are viable forecasting tools used often by macroeconomic or policy -making institutions. . In this study first, the stationary levels of the variables are determined by using Unit Root Test. Second, pre-tests of autocorrelation, heteroscedasticity and normality are conducted for the validity of the VAR model. Third, the short-term relationship between variables is tested by using VAR Granger Causality Test. Fourth, VAR analysis is utilized by applying Impulse-Response Analysis and Variance Decomposition Analysis . And finally, the long-term relationship between variables is tested by using Johansen Cointegration Test. Vector Autoregressionmodel is employed in this study. Findings- According to the results of Granger Causality test, government bond interest rates strongly affect the changes of exchange rate. However, there is no causality from exhange rates to interest rates. Therefore, the changes of interest rates are the main determinants of the changes of exchange rates in this short period. The results of Impulse-Response Test show that an unexpected shock (an unexpected increase) in government bond interest rates affects the exchange rates and increases it significantly. More, an unexpected increase in the exchange rates causes the interest rates on government bond to increase. The results of the variance decomposition test show that 50% of the change in the variance of the exchange rates in the first period is explained by changes in bond interest while 30% of the change in the variance of bond interest rates is explained by the changes in exchange rates. The results of Johansen cointegration test support that there is a stable long-term relationship between dollar exchange rates and government bond interest rates. Conclusion-This study focuses on the relationship between government bond interest rates and the dollar exchange rates in Turkiye for the last 10 policy interest rates announcements by Cenral Bank of Turkiye. In summary, the changes in interest rates on bonds affect the changes in exchange rates more. Data for the days that the CBRT issued the last ten policy rates is gathered for this purpose. The association between two variables is measured using Vector Autoregression (VAR). According to overall results, the changes in interest rates on bonds affect the changes in exchange rates more.
Turkiye as a regional hub
(PressAcademia, 2024-01-15) Dilek, Teker; Teker, Suat; Orman, Irmak
Purpose- This study examines Türkiye's strategic importance and potential to serve as a pivotal regional hub for businesses. The study alsoinvestigates the various fields of businesses for being a potential hub. A review of common concerns that needs further developments are analysed. Methodology- The study utilizes an analytical literature survey and investigates the various business fields for becoming a regional hub. Findings- Turkiye is the 7th largest economy by GDP in Europe by IMF among 22 countries for the year 2022. Turkiye is ranked as the 1st in ease of setting and welcoming categories at Expat Explorer Index, and 7th in the world in the year 2019. More, Turkish international airports serve for 342 direct flights for 128 countries with Turkish Airlines and proximity to these markets with a total GDP of 46 trillion USD within 4 hours flight. Conclusion- Turkiye's unique geographical position bridges Europe and Asia providing a natural gateway between the East and the West. Proximity to major markets enhances its appeal as a strategic center for trade and commerce. Ongoing investments in infrastructure, including transportation networks and logistics facilities, are positioning Türkiye as a key hub for the efficient movement of goods and services. Modern ports, airports, and road networks facilitate seamless connectivity within the region. Türkiye's growing economy attracts foreign investments, fostering the development of financial services and encouraging multinational companies to establish reg ional headquarters.
Gender difference in financial behavior: a comparative analysis
(PressAcademia, 2024-01-15) Teker, Dilek; Dönmez, Sena
Purpose- Definition of financial inclusion; FI enables adults to access and efficaciously use a range of proper financial services. It plays a crucial role in raising economic growth in point of industry, firm and national level. Accessing to the products and services are achievable with financial inclusion. In the world, financial access is not reachable due to socio-economical reasons. Financial inclusion should involve the obstacles facing, reaching out access. This has an effect on decision makings and financial behaviors. However, gender disagregated statistics are not common in literature. All economies may reach economic growth, recognizing gender differences, and enhancing awareness among households. Aim of this study is to figure out the investing / borrowing behaviors of households. This study seeks “is there a gender difference in the level of financial behavior for Turkiye?”. Methodology- We employ a questionnaire to figure out if there exists a gender difference about various metrics in financial behavior. In the research method of this study, comparative analysis was made to reach out gender differences of respondents regarding financial behavior using excell with the help of coding. Google questionnaire prepared by authors was pre-tested and then authors maintaing to send the questionnaire via social media. 102 respondents were reached out. Firstly, it was made demographic analysis of respondents, a nd then it was analysed the financial behavior of respondents. Findings- Findings prove the fact that there is gender difference in behavior of making payments, savings, daily life, auto and home needs, making decisions, QR Code usage, awareness of Fintech products and number of credit cards. Majority of respondents feel confident about private pension system.. However, there is slightly difference in number of private pension contracts. In general, all respondents own a bank account. Money transfer, using a bank application behavior, does not differ among individuals. Conclusion- Based upon the analysis, it may be concluded that financial behavior affects individuals’ choices and this generates differences in terms of usage, needs, decisions and awareness. Socio-economical factor plays a crucial role regarding generating awareness in financial behavior.
Digital banking during the COVID-19 era in Turkiye
(Sivas Cumhuriyet Üniversitesi, 2023-31-12) Oğuz, Ahmet Bünyan; Soykut Sarıca, Yeşim Pınar
The Covid-19 pandemic which began in early 2020 in Wuhan, China and spread around the world, created a serious impact on personal and business life for all. While individuals tried to protect themselves from the pandemic and continue their lives, businesses also tried to cope with the change in individual consumer behaviour. This study analyses the digital banking usage trends in Türkiye, focusing on the Covid-19 pandemic period, between January 2020 and June 2022, under the precautions imposed by the government such as lock-downs, curfews and public access limitations to businesses, using available quarterly transaction and usage data on virtual credit cards, mail order and phone payments, contactless cards, domestic credit cards, number of credit and bank cards, digital banking, internet banking and mobile banking. Research findings suggest that while internet and digital banking usage increased, significant changes have been observed in contactless card, virtual credit card transactions indicating a shift in user preference in banking during the pandemic period either voluntarily or with the effects of the restrictions and intention to realize their transactions distancing themselves from the crowds. Further research analysing whether this shift is permanent or not is recommended.
Şirketlerin toplumsal cinsiyet eşitliği ilkelerine bağlılık beyanları ile uygulamaların beyanlarla uyumu
(Işık Üniversitesi Yayınları, 2023-10-25) Zeybek Arslanboğa, Sinem; Soykut Sarıca, Yeşim Pınar
Bu araştırmada, seçili beş (Borusan, Odeabank, Anadolu Hayat Emeklilik, Garanti BBVA, Tüpraş) ulusal ve küresel ölçekli şirketin Birleşmiş Milletler Sürdürülebilir Kalkınma Hedefleri arasında yer alan toplumsal cinsiyet eşitliği ilkeleri doğrultusunda yürüttükleri çalışmalar incelenmiştir. Ele alınan şirketlerin sürdürülebilirlik raporları incelenerek, pazarlama ve marka yönetimi faaliyetlerinin toplumsal cinsiyet eşitliği ilkeleri ile ilişkisi irdelenmiştir. Araştırmada yer alan şirketlerin kurumsal internet sitelerinde yayınladıkları bilgilere ek olarak, sosyal medya ve diğer kanallarda yürütülen çalışmaları incelenmiş ve söz konusu şirketlerdeki mavi ve beyaz yakalı (kadın-erkek) 50 çalışanın katıldığı 16 sorudan oluşan bir anket düzenlenerek anket sonuçları analiz edilmiştir. Anket katılımcıları kartopu örnekleme yöntemi benimsenerek farklı sektörlerde çalışanlardan oluşacak şekilde seçilmiş ve benzer nitelikteki bireylerin yanıtlarına başvurulmuştur. Katılımcıların ankete verdikleri yanıtlar analiz edildiğinde; çalışma hayatındaki bireylerin kadın ve erkeklere yönelik toplumda kabul görmüş geleneksel yargı ve rolleri (kadınların evcimen, erkeklerin ise para kazanmakla sorumlu olması gibi) benimsemediği görülmüştür. Ayrıca, çalıştıkları şirketlerde toplumsal cinsiyet eşitliği konusunda eylem ve yatırımların olduğunu beyan eden katılımcıların, bahsedilen konuların etkisine dair yeterli farkındalığının olmadığı sonucuna varılmıştır.
Comparative analysis of fragile fives with panel var models
(Int Journal Contemporary Economics & Administrative Sciences, 2023-01) Demirel, Esin; Akgül, Şevket Işıl
This study aims to show the similarities and differences between the fragile five classifications, which include countries that are quite different from each other, and to show whether there is a need for a different classification of fragile five, econometrically. In this context, the data set consists of old fragile five and new fragile five classifications. Seven independent variables that are thought to affect the gross domestic product of the countries have been determined. The data are annual for the period 2001-2018. Panel data analysis and Panel vector autoregression are used as a methodology in this paper, respectively. As a result of the analysis, the effects of the independent variables used in the analysis on the dependent differ in the countries included in fragile fives. Also, a change in one of the countries included in fragile fives will affect other countries. Therefore, it concluded that the variables in the models of fragile fives generally have different coefficients from each other. Based on this, it is understood that the revision of old fragile five does not conform to new fragile five, econometrically. It can be suggested as a policy implication that a different classification of fragile five is necessary.

Güncel Gönderiler