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Sağlık profesyonellerinin stratejik sağlık turizmi değerlendirmeleri: Türkiye çalışması
This study aims at examining the dynamics of health tourism in the Turkish health sector. It captures the actual state of Turkiye's position in health tourism that accelerates in line with the expansion of global health tourism market, advances in technology, and with increasing international patient demands. The study employs data gathered from questionnaires filled out by 52 health professionals from 46 different hospitals in Turkiye. The findings of the study highlight the areas of concern for such issues as the impact of health tourism certifications on foreign patient admissions, strategic development recommendations that impact hospital choices, and technology spending. The study presents the competitive strengths, Turkiye's challenges, and development opportunities for health tourism market. It also emphasizes how Turkiye should pursue strategic steps towards boosting its foreign patient reception for the health tourism sector by outlining policy recommendations.
Yapay zeka düzenlemelerı̇nı̇n karşılaştırmalı hukukı̇ analı̇zı̇: AB ve Türkı̇ye örneklerı̇
This thesis provides a comparative legal analysis of AI regulations, focusing on the EU AI Act and how it would affect the case of Türkiye. The thesis will first elaborate on the driving factors and documents leading to the EU AI Act. It analyzes the possibility of a Brussels effect of the AI Act. By decoding the main pillars of the act, it provides an understanding of the legal nature surrounding the act, and discusses the effects of one of the most important features of the act, which are the risk-based approach and human-centric governance on the strategic autonomy of the European Union. After understanding and analyzing these features, the thesis will further discuss how the concepts of Brussels Effect and Strategic Autonomy can affect Türkiye's regulatory attempts on AI, which could be beneficial to understand what can really shape the future for Türkiye's AI governance.
Yeşil mutabakat ve türkiye'de tekstil ve ayakkabı sektöründeki e-ticaret firmalarının hazırlık durumu
Today, sustainability has become critical not only for environmental policies but also for economic and political issues, and many new regulations or incentives have been prepared. The Green Deal announced by the European Union in 2019 has been one of the most comprehensive examples of these developments. The regulaton directly affects companies and organizations in countries that have commercial relations with the European Union. Türkiye is among these countries affected due to both its economic and geographical location and political relations with the EU. This study examines the awareness and readiness levels of e-commerce companies operating in the footwear and textile sectors in Türkiye regarding these environmental issues. This study aims to assess the companies' knowledge levels, strategic planning and readiness to implement the Green Deal and related regulations. The study uses primary data collected via a survey. Data analyses reveal that many companies do not have sufficient knowledge in the field of sustainability and aren't sufficiently prepared to comply with The EU Green Deal strategeically and operatonally. This study contributes to the literature on understanding the effects of the Green Deal on e-exporting companies and provides implications for decision makers.
Zorunlu ESG açıklamalarıyla birlikte kazanç duyuru toplantılarında ton değişimi
This thesis investigates whether mandatory Environmental, Social, and Governance (ESG) disclosure regulations influence the tone of corporate communication during earnings conference calls (ECCs). Using a large global panel of transcripts from 16,327 firms across 95 countries (2005–2024), the study employs advanced natural language processing tools to quantify tone. Specifically, FinBERT-Tone is used to detect sentence-level sentiment (positive, neutral, negative), while FinBERT-ESG and ESG-BERT models classify ESG-related content across environmental, social, and governance dimensions. For each ECC, the most optimistic ESG-related sentence is extracted to construct ESG_Tone_max, E_Tone_max, S_Tone_max, and G_Tone_max indicators. A Difference-in-Differences (DiD) approach compares tone changes in firms from countries with ESG mandates (treatment group) to those without (control group), while controlling for firm, year, and sector-year fixed effects. Results indicate a statistically significant increase in social tone (S_Tone_max) following ESG mandates, whereas environmental and governance tones show no robust change. Overall ESG tone improves slightly but is sensitive to model specification. Firms with stronger ESG performance consistently use more positive ESG language. This study bridges NLP and causal inference to show that regulation affects not only what firms disclose but also how they speak about ESG, enriching the literature on corporate communication and sustainability.