Sürdürülebilir Kalkınma Amaçları

• 6
• 2
• 2
• 1

Araştırmacılar(6)

• Çavdar, Orhan
• Çelik, Tuncay
• Küçükosman, Asiye
• Polat, Merve Kevser
• Soydaş, Şafak Sönmez
• Yiğit, Necdet

• MakaleAçık Erişim2026/r/gumushane/13717
  Toward Sustainable Financial Behavior: The Role of Financial Socialization and FinTech in Enhancing Green Financial Literacy

  Soydaş, Şafak Sönmez; Özbek, Adem; Çam, Alper Veli; Radulescu, Magdalena; Alofaysan, Hind

  This study examines how financial literacy and financial socialization influence green financial literacy through the mediating role of FinTech usage within a sustainability-oriented framework. Green financial literacy is treated as a proxy for sustainable financial behavior rather than a direct behavioral measure. Based on financial socialization theory, the study proposes an integrated model linking individual competencies, social learning processes, and digital financial technologies. Data were collected from 539 individuals using a structured questionnaire and analyzed with structural equation modeling (SEM) employing a robust weighted least squares estimator. The findings show that financial literacy (β = 0.76, p < 0.001) and financial socialization (β = 0.23, p < 0.001) significantly increase FinTech usage. While financial literacy does not directly affect green financial literacy (β = −0.13, p > 0.05), FinTech usage has a strong positive impact (β = 0.88, p < 0.001), indicating a full mediation effect. Bootstrapping results further confirm the robustness of the mediation effects. Financial socialization also has a direct positive effect (β = 0.20, p < 0.01). The results suggest that financial knowledge alone is insufficient to support sustainability-oriented financial awareness unless it is supported by digital financial technologies. The study highlights the key role of FinTech in facilitating the integration of financial knowledge and social learning into sustainability-oriented financial awareness and decision-making and offers practical implications for promoting sustainable finance.

  • 
  İncele
• MakaleAçık Erişim2026/r/gumushane/13607
  The effect of behavioral factors related to cashlessness on the perception of green finance

  Özbek, Adem; Çam, Alper Veli; Soydaş, Şafak Sönmez; Barut, Abdulkadir; Sharabati, Abdel-Aziz Ahmad

  This study aims to examine the effects of behavioral factors shaping cashless payment behaviors in Turkey on green finance perception. The study focuses on subconscious factors such as functional benefit, economic benefit, psychological benefit, attitude toward technology, and perceived behavioral control. Data were collected from 520 participants aged 18 and older via an online survey and analyzed using Structural Equation Modeling (SEM). The findings reveal that functional benefit, perceived behavioral control, and attitudes toward technology significantly and positively influence perceptions of green finance, while economic and psychological benefits do not have a significant effect on behavioral control. The results reveal that behavioral factors such as ease of use and attitudes toward technology play a more significant role in individuals’ adoption of cashless payment systems than rational economic gain expectations. The study contributes to the literature by showing that cashless payment behaviors contribute to the development of sustainable finance and environmental awareness. It also provides practical recommendations for policymakers and financial institutions on improving digital payment infrastructure and user experience to promote green finance.

  • 
  • 
  İncele
• MakaleAçık Erişim2026/r/gumushane/12260
  Financial literacy and psychological vulnerability to financial exploitation: the roles of financial anxiety, self-confidence, and behavior

  Çam, Alper Veli; Soydaş, Şafak Sönmez; Özbek, Adem; Çam, Handan

  Background: Financial exploitation constitutes a significant psychological vulnerability shaped by cognitive resources, emotional regulation, and financial decision-making behaviors. While financial literacy is widely recognized as a protective factor, limited empirical evidence disentangles the distinct psychological roles of financial knowledge, attitudes, and behaviors in reducing vulnerability to financial exploitation. Methods: This cross-sectional study analyzed survey data from 565 adults in Türkiye. Financial literacy was conceptualized as a multidimensional construct comprising financial knowledge, financial attitude, and financial behavior. Vulnerability to financial exploitation was assessed through three psychosocial indicators: self-confidence, financial anxiety, and financial satisfaction. Structural Equation Modeling (SEM) was employed to examine the relationships among cognitive, behavioral, and emotional components. Results: Financial knowledge was significantly associated with lower financial anxiety and higher financial satisfaction but showed no direct effect on self-confidence. Financial behavior emerged as the most robust protective factor, significantly enhancing self-confidence and financial satisfaction while substantially reducing financial anxiety. Financial attitude was positively related to financial satisfaction but did not significantly influence anxiety or self-confidence. Financial anxiety demonstrated a strong negative association with both self-confidence and financial satisfaction. Conclusions: Financial exploitation vulnerability is driven by interconnected psychological mechanisms rather than cognitive factors alone. The findings highlight the central role of behavior-based financial competencies and emotional regulation in strengthening financial resilience. Interventions aimed at preventing financial exploitation should prioritize behavioral skill development and psychological risk screening alongside traditional financial education approaches.

  • 
  İncele
• MakaleAçık Erişim2025/r/gumushane/19761
  Portfolio Selection with AHP and TOPSIS Methods: An Application in BIST

  Soydaş, Şafak Sönmez

  In this study, the intend is to create portfolios at low, medium, and high-risk levels for firms operating in the fabrication sector in 2023 by utilizing efficiency analysis and multi-criteria decision-making methods, AHP and TOPSIS. The sample of the study comprises companies from the basic metal and textile, apparel, and leather industries listed in the BIST manufacturing sector. In the mentioned year, there were 28 firms in the basic metal industry and 27 firms in the textile, apparel, and leather industries. From the overall of 55 companies, data from 48 firms were available for the year 2023 due to recent initial public offerings, and these were included in the analysis. According to TOPSIS analysis results, companies in the low-risk group, based on firm codes, are (T1, T2, T6, M4, T15, T3), medium-risk group companies are (T5, T10, T24, T16, M14, M10), and high-risk group companies are (M16, M17, M20, M18, M22, M19). Based on risk group criteria, firms in the high-risk group include (T15), companies in the medium-risk group are (T1, T2, T3, T5, T6, T10, T24), and firms in the low-risk group are (T16, M4, M10, M14, M16, M17, M18, M19, M20, M22). As indicated by aftermath of the Spearman correlation analysis, a positive correlation was observed amid the TOPSIS scores and the risk groups (r = 0.412); however, this connection is not statistically important (p = 0.090).

  İncele
• MakaleAçık Erişim2025/r/gumushane/19755
  Machine learning methods in capital structure decisions; application in bist

  Soydaş, Şafak Sönmez

  This study was conducted to create a model based on machine learning methods to determine and develop firm-specific factors that significantly affect the funding decisions of firms. The study consists of firms listed in the forest, paper and printing index of Borsa Istanbul between 2014-2023, and their capital structure decisions were analyzed with machine learning methods. As a result of the analyzes made using machine learning methods, it was determined that the performance values of the model created with the XGBoost method and the Random Forest model, in particular, performed better than the AdaBoost and SVM models. It was seen that the models created with the XGBoost and Random Forest methods were a better option for determining corporate capital structures. It was understood that the SVM model had the worst performance value.

  • 
  İncele
• MakaleAçık Erişim2025/r/gumushane/19754
  Panel kantil regresyonu ile şirket değerini etkileyen faktörler: bıst taş ve toprağa dayalı imalat sektörü örneği

  Soydaş, Şafak Sönmez

  Bu çalışmanın amacı panel kantil regresyonu kullanarak kâr marjı, borç oranı ve şirket büyüklüğünün şirket değeri üzerindeki etkisini belirlemektir. Şirket değeri, halka açık şirketler için finansal performansın temel bir göstergesi olup paydaşlar için beklenen kârlılığı yansıtır. Araştırma, 2014-2023 döneminde Borsa İstanbul'da (BİST) listelenen taş ve toprağa dayalı üretim sektörü şirketlerine odaklanmaktadır. BİST'te işlem gören taş ve toprağa dayalı üretim sektöründeki 26 şirketten erişilebilir verisi olan 17'si analize dahil edilmiştir. Amaçlı örnekleme kullanılmış ve veri değerlendirmesi Stata 17 ve Eviews 10 ekonometrik yöntemleri kullanılarak gerçekleştirilmiştir. Çalışmanın bulguları, borç oranının şirket değerini olumlu yönde etkilediğini, kâr marjı ve şirket büyüklüğünün ise olumsuz etkileri olduğunu göstermektedir. Bu sonuçlar, bu finansal oranların şirket değerini nasıl etkilediğine dair içgörüler sunarak, taş ve dünyaya dayalı sektördeki paydaşlar ve karar vericiler için rehberlik sunmaktadır.

  • 
  İncele
• MakaleAçık Erişim2025/r/gumushane/19753
  Doğrudan yabancı yatırım özümseme kapasitesinin ekonomik büyüme ve ar-ge harcamaları üzerine etkileri: türkiye ve seçilmiş ülkeler örneği

  Hayali, Ayça Sarıalioğlu; Küçükosman, Asiye

  Teoride, Doğrudan Yabancı Yatırımın (DYY) ekonomik büyümeyi, sermaye stokuna katkı ve yayılma etkileri yoluyla olumlu etkilediği üzerinde durulmaktadır. Bu yayılma etkileri, istihdam yaratma, Araştırma Geliştirme (Ar-Ge) merkezleri kurma, teknolojik bilgi ve beşeri sermaye gelişimine katkıda bulunma şeklinde sıralanabilir. Bunun yanı sıra özümseme kapasitesi, beşeri sermaye, finansal gelişme, ticarete açıklık, kurumların kalitesi, Ar-Ge harcamaları ve altyapı gibi faktörler ile DYY yayılmalarına aracılık etmektedir. Bu çalışmada, seçilen ülke grubu için seçilen özümseme kapasitesi faktörleri ile bir özümseme kapasitesi endeksi hesaplanmış, karşılaştırması yapılmış ve özümseme kapasitesi DYY ile birlikte ele alınarak ekonomik büyüme ve Ar-Ge harcamaları ile ilişkilendirilmiştir. 1999-2017 yıllarını kapsayan ve 16 ülke için yapılan panel veri analizi sonuçlarına göre, DYY ile özümseme kapasitesi bir araya geldiğinde ekonomik büyümeyi ve Ar-Ge harcamalarını pozitif yönde etkilemektedir.

  • 
  • 
  İncele
• DüzeltmeAçık Erişim2025/r/gumushane/19664
  Factors affecting company value with panel quantil regression: bist stone and soil-based manufacturing sector example

  Soydaş, Şafak Sönmez

  This study aims to determine the impact of profit margin, debt ratio, and company size on company value using panel quantile regression. Company value is a key indicator of financial performance for publicly traded companies, reflecting expected profitability for stakeholders. The research focuses on Stone and Earth-Based Manufacturing Sector companies listed on Borsa Istanbul (BIST) during the 2014-2023 period. Out of 26 companies in the stone and earth-based sector based on stone and earth traded on BIST, 17 with accessible data were included in the analysis. Purposeful sampling was used, and data evaluation was conducted using Stata 17 and Eviews 10 econometric methods. The study's findings suggest that the debt ratio positively influences company value, while profit margin and company size have negative effects. These results provide insights into how these financial ratios impact company value, offering guidance for stakeholders and decision-makers in the stone and earth-based sector.

  • 
  İncele
• Kitap BölümüYalnız künye2025/r/gumushane/14247
  An analysis of factors affecting the market value of airline companies: An application in Borsa, Istanbul

  Soydas, Safak Sonmez; Cam, Alper Veli

  The market value of firms is mainly affected by financial factors. Financial factors such as sales, profitability, changes in equity, debt structure, competitiveness, interest rates, and inflation affect the market value of firms positively or negatively. Additionally, even if the financial data of firms are investable, some nonfinancial factors can significantly affect the market value of firms. Many nonfinancial factors, such as political and social events, natural disasters, technological developments, government policies, investor confidence or distrust (behavioral finance), managerial changes, sectoral developments, and social media, can change the market value of firms by having a greater impact on their stock prices. Determining the level and timing of the impact of these financial or nonfinancial factors will help institutional or individual investors in their investment decisions. The primary objective of this study is to identify the financial and nonfinancial factors affecting the market value of firms operating in the aviation sector. In this context, the factors affecting the market value of the firms were analyzed using the fundamental analysis data of three firms whose stocks are traded in Borsa Istanbul, one of the emerging markets. In the study, abnormal declines in stock prices of these firms were identified, and the importance levels of the factors that caused them were tried to be revealed. In this direction, a fundamental analysis was performed using financial data obtained from the financial statements of airline companies from the years 2014-2023. The events in the world and Turkey during the relevant periods that affected the capital markets were analyzed and compared. The results of the study are important for both domestic and foreign investors who will invest based on the market value of companies operating in the aviation sector.

  İncele
• Kitap BölümüYalnız künye2025/r/gumushane/14031
  A theoretical framework of renewable energy financing

  Soydas, Safak Sonmez

  The renewable energy sector is an area that has received increasing attention in recent years and has significant growth potential worldwide. Factors such as limited traditional energy sources, environmental concerns, and climate change encourage using renewable energy sources. In this context, financing renewable energy companies has also gained great importance. Financing is a fundamental requirement for the implementation and expansion of renewable energy projects. However, the fact that renewable energy projects are generally high-cost and have long payback periods makes financing these projects difficult. Therefore, research on the financing of renewable energy companies is extremely important to understand and support the development of the sector. This study intends to ensure a theoretical viewpoint on the financing of renewable energy companies. The study will evaluate the general situation of the renewable energy sector, emphasize the importance of financing, and go over the impression of divergent financing sources on companies' growth strategies. Additionally, recommendations will be presented on the financing challenges faced by renewable energy companies and how these challenges can be overcome.

  İncele