Template-Type: ReDIF-Article 1.0 Author-Name: Author-Workplace-Name: Title: Full Issue Abstract: Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Journal: Yildiz Social Science Review Pages: - Volume: 12 Issue: 1 Year: 2026 Month: June DOI: File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1782977932-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:12:y:2026:i:1:p:- Template-Type: ReDIF-Article 1.0 Author-Name: Jia-Ying LYU Author-Workplace-Name: Adjunct Assistant Professor, National Kaohsiung Normal University, Kaohsiung, Taiwan Title: Evolutionary Dynamics of Tax Compliance Under Institutional Trust Abstract: This study investigates the evolutionary dynamics of tax compliance in an agent-based Public Goods Game (PGG) framework, where institutional trust (T) conceptually informed by the World Bank Governance Indicators (WGI) enters as an exogenously specified parameter that modulates the perceived return to public good provision We develop an Agent-Based Model (ABM) using the Mesa framework, where institutional trust (T) modulates the perceived return on public goods, thereby affecting the evolutionary payoff of compliant agents. Simulation results demonstrate that institutional trust acts as a strategic complement to deterrence. In high-trust environments (T=0.8), high compliance rates (PC* > 0.9) are achieved with minimal enforcement effort, while low-trust environments (T=0.2) require disproportionately high fine rates (f > 8.0) to maintain even moderate compliance. The findings provide a dynamic validation of the Slippery Slope Framework, showing that the effectiveness of coercive power is fundamentally mediated by institutional legitimacy. The study concludes that prioritizing governance quality is the most efficient long-term strategy for fostering stable tax compliance, shifting the policy focus from mere deterrence to building a robust social contract. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Agent-based modeling (ABM), evolutionary game theory, institutional trust, public goods game, tax complianceJournal: Yildiz Social Science Review Pages: 1-14 Volume: 12 Issue: 1 Year: 2026 Month: June DOI: 10.51803/yssr.1831209 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1782824796-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:12:y:2026:i:1:p:1-14 Template-Type: ReDIF-Article 1.0 Author-Name: Şermin ÖNEM Author-Workplace-Name: Department of E-Commerce and Marketing, İstanbul Atlas University, İstanbul, Türkiye Title: Green Supply Chain Management and Artificial Intelligence: Bibliometric Analysis Based on Web of Science (WoS) Platform* Abstract: This study aims to provide a comprehensive bibliometric analysis of the intersection between green supply chain management (GSCM) and artificial intelligence (AI). As environmental sustainability and digital transformation have become critical priorities for businesses, the integration of AI into GSCM practices has attracted increasing scholarly attention. In this context, the study analyzes the intellectual structure, development trends, and research patterns in this emerging field. Bibliometric data were collected from the Web of Science (WoS) database using relevant keywords, and the dataset was analyzed using the Biblioshiny application based on RStudio. The findings reveal a significant increase in the number of publications, particularly after 2017, indicating growing academic interest driven by sustainability concerns and technological advancements. The analysis also identifies the most influential authors, keywords, and thematic clusters, highlighting the evolution of research from conceptual discussions to more application-oriented studies focusing on performance, sustainability, and digital transformation. The results suggest that AI plays a transformative role in enhancing the efficiency, transparency, and environmental performance of supply chains. This study contributes to the literature by offering a structured overview of the research landscape and providing insights for future academic and practical developments in the field of AI-driven sustainable supply chain management. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Artificial intelligence, bibliometric analysis, green supply chain management, supply chain management, sustainabilityJournal: Yildiz Social Science Review Pages: 15-27 Volume: 12 Issue: 1 Year: 2026 Month: June DOI: 10.51803/yssr.1830824 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1782824892-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:12:y:2026:i:1:p:15-27 Template-Type: ReDIF-Article 1.0 Author-Name: Ezgi GÖKMEN Author-Workplace-Name: Department of Political Science and International Relations, İstanbul, Türkiye Author-Name: Fulya MEMİŞOĞLU ZAİMOĞLU Author-Workplace-Name: Department of Political Science and International Relations, İstanbul, Türkiye Title: Contextual (De)Securitization of Migration in Turkish Parliamentary Debates Abstract: A significant strand of the migration–security literature approaches migration through a largely singular security discourse, an orientation that tends to obscure its articulation across different political and policy arenas. Drawing on parliamentary debates on migration in the Turkish Grand National Assembly (TGNA), this article shows that migration in Türkiye is framed not through a unified security logic but across multiple security registers that vary by context. Based on qualitative discourse analysis supported by MAXQDA-assisted coding, the study traces how migration is articulated across debates on security policy, the economy, public services, social cohesion, demographic change, as well as foreign policy relations. The findings indicate that securitization and desecuritization operate through contextual reconfiguration rather than a fixed trajectory. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Bağlamsal güvenlikleştirme, söylem analizi, göç, güvenlikleştirme, TürkiyeJournal: Yildiz Social Science Review Pages: 28-39 Volume: 12 Issue: 1 Year: 2026 Month: June DOI: 10.51803/yssr.1896510 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1782825045-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:12:y:2026:i:1:p:28-39 Template-Type: ReDIF-Article 1.0 Author-Name: Klemens KATTERBAUER Author-Workplace-Name: Department of Earth Science and Global Management, Euclid University, Banjul Republic of The Gambia, West Africa Author-Name: Sema YILMAZ Author-Workplace-Name: Department of Economics, Yıldız Technical University, İstanbul, Türkiye Author-Name: Rahmi Deniz ÖZBAY Author-Workplace-Name: Department of Economics, İstanbul Ticaret University, İstanbul, Türkiye Title: AI-Enabled Drug Discovery Platforms: Navigating the Confluence of Software, Medical Device, and Pharmaceutical Regulation in Sino-African Trade Relations Abstract: The integration of artificial intelligence into drug discovery platforms presents a fundamental challenge to established regulatory taxonomies worldwide, raising a deceptively simple question with profound implications: Should AI-enabled drug discovery platforms be regulated as software, as medical devices, or as pharmaceuticals? This article examines this regulatory trilemma through the dual lens of comparative global frameworks and Sino-African trade relations. The analysis reveals that major jurisdictions—including the United States, European Union, and China—have adopted hybrid approaches that defy simple categorization, with the FDA emphasizing Predetermined Change Control Plans for adaptive algorithms, the EU layering AI Act requirements atop Medical Device Regulation frameworks, and China advancing a specialized AI medical device guidance architecture. For African regulatory environments, where the African Medicines Agency is newly operational and most National Regulatory Authorities function at WHO Maturity Level 3, this global fragmentation presents both peril and opportunity. The article argues that China's emergence as a leading developer of AI-enabled drug discovery technologies, combined with its deepening pharmaceutical trade relationships across Africa under FOCAC frameworks, creates unprecedented possibilities for regulatory leapfrogging through Sino-African cooperation. By examining trade patterns, investment flows, and capacity-building initiatives, this research demonstrates that the regulatory classification question is not merely a technical matter of legal taxonomy but a strategic determinant of market access, technology transfer, and ultimately, health equity across the African continent. The article concludes with concrete recommendations for harmonized approaches, South-South regulatory cooperation mechanisms, and African-specific adaptation of global AI governance principles. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: AI-enabled drug discovery, medical device regulation, pharmaceutical governance, regulatory classification, Sino-African tradeJournal: Yildiz Social Science Review Pages: 40-54 Volume: 12 Issue: 1 Year: 2026 Month: June DOI: 10.51803/yssr.1937910 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1782825333-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:12:y:2026:i:1:p:40-54 Template-Type: ReDIF-Article 1.0 Author-Name: Syed Shahnawaz MOHSIN Author-Workplace-Name: South Asian Institute for Policy and Governance (SIPG), Dhaka, Bangladesh Title: Institutional Syncretism in the Digital Age: The Adaptive Institutional Fusion (AIF) Framework Abstract: This paper introduces the adaptive institutional fusion (AIF) framework, a mid-range sociological theory explaining how formal and informal institutions interact under conditions of digital exposure. Research question: How do offline–online hybrid institutional arrangements form, adapt, and influence governance, education, labor, and social norms in transitional societies? Theoretical gap: The existing literature treats informal practices primarily as governance deficits, while digital sociology examines platform governance in isolation. Neither approach explains how hybrid systems evolve when locally embedded authority intersects with global digital visibility. AIF conceptualizes "fusion nodes" where formal regulations and informal practices converge, shaped by adaptive legitimacy, elasticity versus rigidity, and feedback loops generated by online exposure. Propositions: (1) Greater online visibility heightens legitimacy contests around hybrid institutions; (2) elastic hybrids with open digital interfaces formalize faster than rigid, patronage-bound systems; (3) digital exposure reinforces positive feedback in responsive institutions but amplifies dysfunction under elite capture; (4) hybrid nodes are durable, not transitional anomalies, and can be deliberately shaped by policy. Drawing on Bangladesh cases—madrasa digital curricula, shalish arbitration on Facebook, online labor markets, and activism campaigns—and global parallels such as M-Pesa, Brazilian favela leadership, and the gig economy, the paper argues that hybrid systems can deliver public value if recognized and governed rather than eradicated. The AIF framework offers a basis for rethinking institutional reform strategies and future research on algorithmic governance and cross-national validation. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Adaptive institutional fusion, digital exposure, fusion nodes, hybrid governance, transitional societiesJournal: Yildiz Social Science Review Pages: 55-72 Volume: 12 Issue: 1 Year: 2026 Month: June DOI: 10.51803/yssr.1884173 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1782825447-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:12:y:2026:i:1:p:55-72 Template-Type: ReDIF-Article 1.0 Author-Name: Turgut ÇILĞIN Author-Workplace-Name: Department of Administrative and Financial Affairs, Adıyaman University, Adıyaman, Türkiye Title: Dialectical Analysis of Scientific Ethics and Human Rights Violations in the Era of Artificial Intelligence Abstract: This article examines the stage reached in the transformation of Artificial Intelligence from a simple data processing tool into an autonomous socio-technological and potentially transhumanist entity capable of making independent decisions, as well as the scientific ethical and human rights paradoxes that this transformation has brought about due to algorithmic reasons. When evaluated alongside its goals such as scientific progress and technological promise research findings reveal that systemic risks, including hallucinations that undermine academic integrity and reliability, as well as algorithmic discrimination that exacerbates historical inequalities, constitute fundamental crisis points for the legitimacy of artificial intelligence. The article aims to access current data using literature review research method. It examines efforts to align AI with human rights and scientific ethics in light of regulations established by international organizations and proposes strategies to resolve these paradoxes. In conclusion, given the algorithmic risks of AI in academic processes where knowledge is produced, it is essential for authors and reviewers to adhere to ethical guidelines. The rapid advancement and growing power of AI highlight the need to align it with international norms and values focused on scientific ethics and human rights worldwide. Classification-JEL: F00,F30,G00,G10,K00,K20,M00,M20,O10 Keywords: Artificial intelligence, algorithmic discrimination, human rights, scientific ethicsJournal: Yildiz Social Science Review Pages: 73-88 Volume: 12 Issue: 1 Year: 2026 Month: June DOI: 10.51803/yssr.1831209 File-URL: https://yssr.yildiz.edu.tr/storage/upload/pdfs/1782977790-en.pdf File-Format: Application/pdf Handle: RePEc:aye:journl:v:12:y:2026:i:1:p:73-88