Template-Type: ReDIF-Article 1.0 Author-Name: Aras YOLUSEVER Author-Workplace-Name: Department of Economics, Faculty of Economics and Administrative Sciences, Istanbul Kultur University, İstanbul, Türkiye Title: Evolutionary Game Theory: A General Review Abstract: This article surveys the Evolutionary Game Theory (now EGT), encompassing its historical underpinnings, recent advancements, and future potential. Originating in the 1970s through the pioneering work of John Maynard Smith and George R. Price, EGT leverages game-the-oretic concepts to elucidate the evolution of strategies within various populations across biological, economic, and social domains. Notably, recent progress has seen the integration of advanced large language models (LLMs) such as GPT-3.5 and GPT-4 into agent-based simulations, thereby enriching the authenticity and intricacy of strategic interactions. Additionally, the study addresses the complexities associated with modeling diverse behaviors and bridging the insights derived from LLMs to practical applications in fields like biology, healthcare, education, and social sciences. Moreover, it highlights the importance of interdisciplinary collaboration and innovative methodologies in tackling the complex challenges associated with EGT. The article also reflects on potential directions for future research, stressing the integration of EGT with practical applications and the need for comprehensive models that capture the intricacies of evolutionary dynamics in adaptive systems. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Agent-based models, evolutionary game theory, large language models, replicator dynamicsJournal: Yildiz Social Science Review Pages: 85-98 Volume: 10 Issue: 2 Year: 2024 Month: December DOI: 10.51803/yssr.1525146 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1735566742-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:10:y:2024:i:2:p:85-98 Template-Type: ReDIF-Article 1.0 Author-Name: Jamilu ABDULKADIR Author-Workplace-Name: Department of Business Administration Faculty of Management Sciences, Kaduna State University, Nigeria Title: Enterprise Risk Management (ERM) Practices and Financial Performance: Evidence from Listed Insurance Firms in Nigeria Abstract: This study examined the Enterprise Risk Management (ERM) Practices on the performance of insurance firms in Nigeria. The study used panel and correlational designs in investigating the effect of ERM Practices measured by strategy and operations objectives of the Committee of Sponsoring Organisation (COSO) on the financial performance of insurance firms measured by Tobin’s Q. Secondary data obtained from the annual financial statements of the insurance firms for the periods of 2018-2022 were used in the analysis. The study used panel data regres-sion model to estimate the relationship. The findings revealed the existence of a positive signif-icant effect of strategic objectives on the financial performance of insurance firms in Nigeria. However, a negative significant effect of operational objective on the financial performance of insurance firms in Nigeria was documented. The study recommended that insurance firms in Nigeria should continue to ensure full conformity to the provision of COSO components while carrying out their business operation. They should also restrategize and monitor their financial performance outcomes in line with their established objectives in order to attain the holistic application of ERM strategic objectives in the overall business operations. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Enterprise risk management, insurance firms, financial performance, NigeriaJournal: Yildiz Social Science Review Pages: 99-109 Volume: 10 Issue: 2 Year: 2024 Month: December DOI: 10.51803/yssr.1461899 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1735566995-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:10:y:2024:i:2:p:99-109 Template-Type: ReDIF-Article 1.0 Author-Name: Fergül ÖZGÜN Author-Workplace-Name: Department of International Trade and Logistics, Faculty of Economics and Administrative Sciences, Yeni Yüzyil University, İstanbul, Türkiye Author-Name: Meral UZUNÖZ ALTAN Author-Workplace-Name: Department of Economics, Faculty of Economic and Administrative Sciences, Yıldız Technical University, İstanbul, Türkiye Author-Name: Ayten Nahide KORKMAZ Author-Workplace-Name: Department of Foreign Trade, İstanbul Aydin University, İstanbul, Türkiye Title: Bibliometric Analysis of Studies on the Relationship Between Environmental Quality, Economic Growth and Health Abstract: Economic growth impacts environmental quality based on how natural resources are used. The change in environmental quality is thought to be related to public health. This study examines 2041 publications from 1991 to 2023 through bibliometric analysis using the VOS Viewer software. The analysis focuses on publications related to economics, identified using the keywords “Environmental Quality, Economic Growth, and Health” in the Web of Science database. The key point of this study is aimed to have a detailed literature review of the line between economic growth, environmental quality, and health. As a conclusion, it is believed that “there is a need for studies examining the economic causes and consequences of environmental quality, economic growth, and health to become widespread nexus” For the studies to be widespread, previous studies on this subject should be searched and necessary gaps should be identified. Final aim is to provide to make offers to fill the gaps in the literature. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Bibliometric analysis, economic growth, environmental quality, health, VOS viewer, Web of ScienceJournal: Yildiz Social Science Review Pages: 110-135 Volume: 10 Issue: 2 Year: 2024 Month: December DOI: 10.51803/yssr.1588559 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1735567340-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:10:y:2024:i:2:p:110-135 Template-Type: ReDIF-Article 1.0 Author-Name: Burak YERLIKAYA Author-Workplace-Name: Department of Economics, Faculty of Yildiz Technical University, İstanbul, Türkiye Title: Time Series Analysis on Credit Default Swap (CDS) and Market Indicators: The Case of Türkiye Abstract: Regional and global cyclical fluctuations in the world economy reveal the importance of the CDS premium for developing countries such as Türkiye, which has fragile macroeconomic indicators and is highly dependent on international funds. This study deals with the influ-ence of key economic indicators on CDS premiums with a focus on Türkiye in the period from January 2010 to March 2022, a period characterized by unconventional low-interest rate policies and economic crises, including the COVID-19 pandemic. By leveraging Türkiye’s unique policy environment and crisis experiences, the study provides a natural experiment environment for understanding the mechanisms driving CDS premiums. Using recent and monthly data, the ARDL method has been employed to determine possible long- and short-run relationships among CDS premiums, and the exchange rate ($/TL), interest rates (applied to consumer loans in TL), Istanbul Stock Exchange 100 indexes, official reserves ($1,000,000), and total domestic credit volume ($). The Granger causality test further reveals the directional relationships among these variables. The general results provide strong evidence that exchange rate volatility and credit expansion contribute to increased CDS premiums, while official reserves and stock market performance help to mitigate country risk perceptions. The bidirectional Granger causality between CDS premiums and reserves further highlights the dynamic relationship between risk perceptions and policy responses. This paper provides new insights into the economic channels influencing country risk and highlights the critical role of financial stability policies in a developing country context. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: ARDL, CDS premium, granger causality test, time series, TürkiyeJournal: Yildiz Social Science Review Pages: 136-147 Volume: 10 Issue: 2 Year: 2024 Month: December DOI: 10.51803/yssr.1588759 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1735567560-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:10:y:2024:i:2:p:136-147 Template-Type: ReDIF-Article 1.0 Author-Name: Murat ÇEMBERCİ Author-Workplace-Name: Department of Administration, Management and Organization, Faculty of Economic and Administrative Sciences, Yıldız Technical University, İstanbul, Türkiye Author-Name: Ercan KARAKEÇE Author-Workplace-Name: Department of Foreign Trade, Vocational School of Social Sciences, Istanbul Medipol University, Istanbul, Türkiye Title: Connecting the Wings of Dynamism: Bibliometric Analysis of Artificial Intelligence and Entrepreneurship Fields* Abstract: This study aims to create a holistic viewpoint by concentrating on two dynamic areas of artificial intelligence and entrepreneurship with the rigorous application of bibliometric analysis. The concept of artificial intelligence, constantly heard as the digital world gradually penetrates our lives, and entrepreneurship referred to as the atomic element of economic infrastructure, are addressed in the same pot as this research. The attitude of both areas against varying circumstances constitutes the essential basis of this examination. The view that the effectiveness in the areas can be increased with the synergy to be created between the two focuses is supported. With this intention, the study commences with an informative literature section, where the introductory elements of the areas are conveyed. Afterward, it tries to clarify why these zones need to be examined together. Following this, a robust method frequently used to bring unfamiliar kinds of literature cooperatively is a bibliometric analysis study conducted using data obtained from the Web of Science database and subjected to various analyses. In the last stage, the study is completed by examining these outputs and analyzes. As a result, conclusions support “the duo” can be investigated jointly. The study contributes to the idea that artificial intelligence and entrepreneurship are wings working in synchrony for the re-quirement of success. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Artificial intelligence, bibliometric analysis, entrepreneurshipJournal: Yildiz Social Science Review Pages: 148-157 Volume: 10 Issue: 2 Year: 2024 Month: December DOI: 10.51803/yssr.1535749 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1735567821-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:10:y:2024:i:2:p:148-157