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Öğe Empowering minds and fostering inclusion: ELT graduate students' experiences with critical pedagogy(FRONTIERS MEDIA SA, 2025) Zaimoğlu, Senem; Dağtaş, AysunIntroduction This research focuses on how graduate students in a Master's level English Language Teaching (ELT) program in T & uuml;rkiye experienced transformative learning through a course on critical pedagogy (CP). Grounded in Mezirow's transformative learning theory and Freirean principles, the study explores how engagement with the sociopolitical dimensions of language education challenged participants' assumptions and transformed their cognitive, emotional, and relational understandings of teaching.Methods Data were collected from eight participants through weekly reflective journals structured around Gibbs' Reflective Cycle that guides individuals to reflect systematically on their experiences and follow-up semistructured interviews. Following Braun and Clarke's six-phase framework to thematic analysis, five overarching themes were identified that encapsulate the participants' experiences: Confronting Disorienting Dilemmas, Shifting Perspectives (Cognitive Transformations), Navigating Emotional Journeys, Evolving Classroom Relationships, and Embracing Transformative Learning Processes.Results The results revealed that participants encountered disorienting dilemmas that prompted self-examination and shifts in identity, beliefs, and pedagogical stances. While students valued dialogic learning, critical inquiry, and real-world connections, some reported discomfort when addressing controversial topics-highlighting persistent hierarchical dynamics within educational settings.Discussion Despite these tensions, participants demonstrated growing commitment to inclusive and socially engaged teaching. This research contributes to inclusive teacher education by demonstrating how structured reflection and emotionally responsive learning environments can foster transformation. It also calls for further research on the long-term enactment of critical pedagogy in diverse institutional contexts.Öğe Assessment of Green Logistics Market Performance of Selected Countries: A Comprehensive and Novel Multi-Criteria Decision-Making Approach(WALTER DE GRUYTER GMBH, 2025) Özekenci, Emre KadirThis study assesses the green logistics market performance of the top twenty emerging markets identified in the Agility Emerging Markets Logistics Index (AEMLI) report. The primary emerging markets-China, India, the United Arab Emirates, Saudi Arabia, Malaysia, Indonesia, Mexico, Qatar, Thailand, Vietnam, Chile, T & uuml;rkiye, Brazil, Oman, Russia, Bahrain, Jordan, Kuwait, Uruguay, and South Africa-serve as benchmarks for evaluating logistics efficiency and environmental performance. The decision model for this study encompasses seven criteria: Domestic Logistics Opportunity, International Logistics Opportunity, Business Fundamentals, Digital Readiness, Ecosystem Vitality, Environmental Health, and Climate Change. These criteria were derived from a thorough literature review. Data were obtained from the AEMLI and Environmental Performance Index (EPI) reports published by Agility & Transport Intelligence and the Yale Center for Environmental Law & Policy. Criterion weights were established using the Symmetry Point of Criterion (SPC). The ranking of alternatives employed several MCDM methods: Ranking of Alternatives with Weights of Criterion (RAWEC), Ranking the Solutions based on the Mean Value of Criteria (RSMVC), Stable Preference Ordering Towards Ideal Solution (SPOTIS), and the Extended Alternative Ranking Order Method with two-step normalization (AROMAN). The results were aggregated using the Borda Count Method. Findings from the SPC reveal that the international logistics opportunity is the most significant criterion, whereas business fundamentals rank as the least important. The Borda Count analysis indicates that China, the United Arab Emirates, Malaysia, Saudi Arabia, and Brazil consistently rank as top performers across various methods. Conversely, T & uuml;rkiye, Indonesia, Kuwait, Bahrain, South Africa, and Vietnam generally show lower rankings across most methods. Additionally, sensitivity and comparative analyses were conducted to enhance the robustness of the findings. The results of this study are anticipated to provide valuable insights into the green logistics market performance of selecting emerging markets.Öğe Adaptive market hypothesis: insights from BRIC-T countries' stock markets(WALTER DE GRUYTER GMBH, 2025) Özekenci, Süreyya YılmazComparing the Efficient Market Hypothesis and Behavioral Finance, the Adaptive Markets Hypothesis (AMH), which identifies the extremes of these two hypotheses and adapts them to each other, argues that calendar anomalies can coexist, but also focuses on how investor behavior reacts to changing market conditions. This study aims to investigate whether the stock markets of BRIC-T countries are consistent with the AMH, including crisis periods, using daily data for the period 01.01.2000-31.12.2023. To this end, daily index return series of each country were constructed and analyzed with the help of Wild-bootstrap Variance ratio test, BDS test and Ljung and Box Q Portmanteau tests. According to the Wild-bootstrap Variance ratio test, both EMH and AMH are not valid in the equity markets of BRIC-T countries; according to the BDS test results, AMH is valid and according to the Ljung and Box Q Portmanteau test results, AMH is valid. Therefore, it is concluded that AMH is more successful than EMH in explaining the equity markets of BRIC-T countries.Öğe Looking at the Eastern Mediterranean Through the Lens of Epistemic Community(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2026) Şahin, Sevgi Balkan; Çetiner, ÖzgeThis article examines how scholarly knowledge production shapes prevailing policy narratives regarding the Eastern Mediterranean. Relying on Haas's epistemic community concept, the article investigates how epistemic community on the Eastern Mediterranean influence particular conceptions of collaboration, conflict, and regional order. Rather than accepting academic studies as merely explicators of the regional status quo, the article emphasizes how these studies contribute to the creation and reproduction of Eurocentric, state-centric, and security-oriented perspectives. To provide a more in-depth engagement regarding the production, legitimization, and dissemination of knowledge within the academic community, the article examines academic studies on the Eastern Mediterranean indexed in the Web of Science (WoS) Core Collection between 1995 and 2025 through a combination of bibliometric analysis and systematic literature review methodologies. By employing a two-pronged methodology, including descriptive statistics, network analysis, textual analysis, and coding of authors' genders, and theoretical and methodological frameworks, this article presents a multifaceted perspective regarding the Eastern Mediterranean, illuminating both biases and knowledge gaps. Findings reveal a prevalence of discursive bias towards conflict rather than cooperation, dominance of Eurocentric approaches at the expense of non-Western or local perspectives, and gender disparities in authorship.Öğe Multidimensional trade performance assessment for integrating sustainability and economic diversification in OECD countries using a spherical fuzzy SIWEC-SPC-based decision support model(ELSEVIER, 2025) Yalçın, Galip Cihan; Kara, Karahan; Özekenci, Emre Kadir; Simic, Vladimir; Pamucar, DraganCountries participate in regional trade blocks to enhance their trade activities and trade performance. This study proposes a novel approach to trade performance assessment, introducing innovations both in terms of performance parameters and methodology. From a performance parameter perspective, the inclusion of sustainable development and economic diversity levels in trade performance evaluation differentiates this study from traditional trade performance measurement approaches. From a methodological perspective, a hybrid model that simultaneously considers both subjective and objective criterion weighting based on expert opinions is introduced. The spherical fuzzy (SF)-simple weight calculation (SIWEC)-symmetry point of criterion (SPC)-opportunity losses-based polar coordinate distance (OPLO-POCOD) model, developed as a decision support system, is proposed for evaluating the trade performance of country blocs. SF-SIWEC is employed as the subjective criterion weighting method, while SPC serves as the objective criterion weighting method. The OPLO-POCOD alternative ranking method is employed to calculate the trade performance of countries. The proposed methodology is applied to the Organization for Economic Cooperation and Development (OECD) countries. According to the subjective weighting method, "sustainable development (0.0978)" emerges as the most important criterion, whereas in the objective weighting method, "number of product types (export) (0.1612)" is identified as the most significant one. In the final criterion weights, "number of product types (export) (0.1232)" is also determined to be the most important criterion. Considering the final criterion weights, the United States (0.9871) has the highest trade performance among the OECD countries. Thus, when both sustainability and economic diversification are considered, it is understood that the most influential criteria in determining multidimensional trade performance are the number of exported product types and sustainable development. From this perspective, the United States stands out as the country with the highest multidimensional trade performance among OECD countries. This study contributes to the literature by integrating sustainability and economic diversification parameters into trade performance measurement as well as proposing a comprehensive methodology for performance evaluation in trade blocs.Öğe Metaverse Perception Scale Development and Validation(SAGE PUBLICATIONS INC, 2025) Aslan, Mustafa; Sağtaş, Saadet; Özkaynar, KürşadThe metaverse, perceived as the next phase of the Internet, promises to transcend mere upgrades by integrating transformative technologies such as artificial intelligence, virtual reality, and blockchain, which form the foundations of its structure. However, the absence of a standardized scale to assess perceptions of the metaverse poses a considerable limitation to studies in social science on this topic. This study developed a measurement tool that can be used in social science investigations to address this gap. Working with experts in the field, we created a pool of items encompassing six dimensions and 67 items. Exploratory factor analysis examined the data collected from 209 participants, and the confirmatory factor analysis assessed data from 247 participants. The proposed scale comprises 25 statements and six dimensions: (i) anxiety, (ii) education, (iii) entertainment, (iv) psychosocial effect, (v) knowledge-sharing, and (vi) business.Öğe A HYBRID MPSI-EXTENDED AROMAN DECISION-MAKING MODEL FOR ASSESSING GREEN LOGISTICS PERFORMANCE: THE CASE OF ASIA-PACIFIC COUNTRIES(POZNAN SCH LOGISTICS, 2025) Özekenci, Emre KadirBackground: This study examines the green logistics performance of Asia-Pacific countries (Australia, Bangladesh, Cambodia, China, India, Indonesia, Japan, Laos, Malaysia, New Zealand, Papua New Guinea, Philippines, Singapore, South Korea, Sri Lanka, Taiwan, Thailand and Vietnam) using nine criteria: climate change, environmental health, ecosystem vitality, customs, infrastructure, international shipments, logistics competences and quality, timeliness, and tracking and tracing. The criteria were determined based on a literature review. Data were obtained from Logistics Performance Index (LPI) and Environmental Performance Index (EPI) reports. Methods: This study combines the Modified Preference Selection Index (MPSI) and the Extended Alternative Ranking Order Method Accounting for the Two-Step Normalization (AROMAN) model to assess the green logistics performance of Asia-Pacific countries. The criteria weights were calculated using the MPSI method, while countries' green logistics performance was evaluated using the Extended AROMAN method. Results: The MPSI results show that environmental health, climate change, and infrastructure are the most important criteria, while tracking and tracing, international shipments, and timeliness are the least important. The Extended AROMAN results show that Japan, Australia, Singapore, New Zealand, and South Korea have the highest green logistics performance. In contrast, Indonesia, Vietnam, Bangladesh, Cambodia, and Laos have the lowest green logistics performance. Sensitivity and comparative analysis were conducted to assess the robustness of the results. Conclusion: This study presents a decision support system tailored to help the private sector, policymakers, and various stakeholders assess and improve nations' logistics performance, with a strong emphasis on green logistics. This model is a vital tool for analyzing key logistics metrics, promoting sustainable practices, and enabling informed decision-making to advance environmental responsibility and efficiency within logistics operations.Öğe The Impact of Energy Intensity, Renewable Energy, and Financial Development on Green Growth in OECD Countries: Fresh Evidence Under Environmental Policy Stringency(MDPI, 2025) Nur, Tuğba; Topaloğlu, Emre Esat; Özekenci, Süreyya Yılmaz; Koycu, ErolThis study examines the impact of financial development, renewable energy, energy intensity, and stringent environmental policies on green growth in twenty-three Organization for Economic Cooperation and Development countries from 2000 to 2023. Additionally, it examines how stringent environmental policies moderate the link between financial development and green growth. Economic complexity, trade openness, and green technology variables are also included in the model as control variables. The index is constructed using economic growth, education, health, CO2 emissions, net forest, and mineral components for green growth, the main variable explained in the research. The Fully Modified Ordinary Least Squares method is applied to estimate elasticity coefficients in the study. The findings show that financial development and energy intensity have a negative impact on green growth, whereas strict environmental policies and renewable energy support green growth. Moreover, the interaction between financial development and stringent environmental policies promotes green growth. At the same time, the control variables of trade openness and economic complexity have a negative impact on green growth, while green technology makes a positive contribution. Furthermore, financial development and energy intensity have the most significant quantitative impact on green growth, while trade openness and stringent environmental policies have the least impact. In line with these findings, environmentally friendly financial instruments and green investments should be supported instead of directing financial resources only to industry-intensive sectors in Organization for Economic Cooperation and Development countries. In this context, implementing energy efficiency policies and increasing incentives for renewable energy are of great importance.Öğe Turkiye's Carbon Emission Profile: A Global Analysis with the MEREC-PROMETHEE Hybrid Method(MDPI, 2025) Pelit, İrem; Avşar, İlker İbrahimThis study conducts a comparative evaluation of Turkiye's carbon emission profile from both sectoral and global perspectives. Utilizing 2022 data from 76 countries, it applies two widely recognized multi-criteria decision-making (MCDM) methods: MEREC, for determining objective weights of criteria, and PROMETHEE II, for ranking countries based on these criteria. All data used in the analysis were obtained from the World Bank, a globally recognized and credible statistical source. The study evaluates seven criteria, including carbon emissions from the energy, transport, industry, and residential sectors, along with GDP-related indicators. The results indicate that Turkiye's carbon emissions, particularly from industry, transport, and energy, are substantially higher than the global average. Moreover, countries with higher levels of industrialization generally rank lower in environmental performance, highlighting a direct relationship between industrial activity and increased carbon emissions. According to PROMETHEE II rankings, Turkiye falls into the lower-middle tier among the assessed countries. In light of these findings, the study suggests that Turkiye should implement targeted, sector-specific policy measures to reduce emissions. The research aims to provide policymakers with a structured, data-driven framework that aligns with the country's broader sustainable development goals. MEREC was selected for its ability to produce unbiased criterion weights, while PROMETHEE II was chosen for its capacity to deliver clear and meaningful comparative rankings, making both methods highly suitable for evaluating environmental performance. This study also offers a broader analysis of how selected countries compare in terms of their carbon emissions. As carbon emissions remain one of the most pressing environmental challenges in the context of global warming and climate change, ranking countries based on emission levels serves both to support scientific inquiry and to increase international awareness. By relying on recent 2022 data, the study offers a timely snapshot of the global carbon emission landscape. Alongside its contribution to public awareness, the findings are expected to support policymakers in developing effective environmental strategies. Ultimately, this research contributes to the academic literature and lays a foundation for more sustainable environmental policy development.Öğe A Multi-Criteria Framework for Economic Decision Support in Urban Sustainability: Comparative Insights from European Cities(Scientific Oasis Publisher, 2025) Özekenci, Emre KadirSustainable urban development has become an economic imperative as cities grapple with escalating environmental, social, and financial pressures. This study evaluates the economic performance and fiscal sustainability of European capitals-Stockholm, Oslo, Copenhagen, Lahti, London, Berlin, Madrid, Paris, Amsterdam, and & Idot;stanbul-through a robust Multi-Criteria Decision-Making (MCDM) framework. The analysis incorporates twelve key indicators that reflect not only environmental resilience but also resource efficiency, infrastructure investment, and the economic viability of sustainability policies. These include Scope 1 Emissions, Consumption-Based GHG Emissions, Particulate Air Pollution, Open Public Space, Road Infrastructure Efficiency, Sustainable Transport, Vehicle Dependence, Water Access, Water Consumption, Solid Waste Generated, Climate Change Resilience, and Sustainable Policy Implementation. A hybrid MCDM model combining MEREC-based RAWEC with Extended AROMAN and MARA methods was applied. The MEREC method was used to derive economically weighted priorities among criteria, while final rankings were aggregated using RAWEC, Extended AROMAN, MARA, and Borda Count methods. Results identified Scope 1 emissions as the most economically impactful criterion, while particulate air pollution had a lower fiscal weighting. Cities such as Stockholm, Oslo, and Copenhagen consistently emerged as top performers due to their cost-effective and forward-looking urban sustainability policies. In contrast, Paris, & Idot;stanbul, and Amsterdam demonstrated lower cost-efficiency scores. Sensitivity analysis further validated the model's reliability. This framework not only supports environmental assessment but also informs economic decision-making by guiding policymakers toward fiscally responsible and sustainable urban planning strategies.Öğe Promoting transition towards sustainable air transport systems: A hybrid decision support system for effective national-level performance evaluation(ELSEVIER SCI LTD, 2025) Kara, Karahan; Yalçın, Galip Cihan; Özekenci, Emre Kadir; Bilek, Günal; Simic, Vladimir; Tunçsiper, Çağatay; Pamucar, DraganAir transport plays a pivotal role in enhancing economic development by supporting trade, tourism, and regional competitiveness. The growing environmental concerns and social expectations have necessitated the transition towards sustainable air transport systems. Sustainable air transport refers to aviation activities that balance environmental, economic, and social objectives, aiming to minimize carbon emissions, promote renewable energy usage, and enhance socio-economic welfare. In this study, a novel multi-criteria decision-making (MCDM)based decision support system (DSS) is proposed to evaluate the sustainable air transport performance of the European countries. The main objective of this research is to develop a comprehensive and integrative framework for measuring and ranking the sustainable air transport performance of nations. A hybrid method, termed fractional fuzzy-ranking comparison-response to criteria weighting (RANCOM)-response to criteria weighting (RECA)-ranking technique by geometric mean of similarity ratio to optimal solution (RATGOS), is introduced. DSS consists of five main stages: expert-based subjective weighting using fractional fuzzy RANCOM, objective weighting via RECA, aggregation of weights, and final performance ranking through the RATGOS method. The results indicate that Germany ranks highest, while Cyprus has the lowest sustainable air transport performance among the evaluated countries. The criterion "commercial aircraft fleet by age of aircraft" is determined to have the highest importance among the sustainable air transport performance indicators. The study provides a comprehensive, replicable framework for policymakers and stakeholders aiming to monitor and improve sustainable aviation systems. It contributes to the literature by addressing the gap in national-level sustainable air transport performance evaluation.Öğe Performance Measurement of the Logistics Companies on the Fortune 500 by Swara and Merec-Based Cradis Methods(SCIENDO, 2024) Ozekenci, Emre KadirThe aim of this study is to evaluate the performance of logistics companies on the Fortune 500 Turkey list using the SWARA-MEREC based CRADIS methods. The weight of criteria was determined by subjective and objective approaches, namely SWARA and MEREC, respectively. The performance of companies was ranked by the CRADIS method. The findings highlighted that net sales (NS) and export (EXP) were most and least important criteria, respectively. The result of the CRADIS method showed that Netlog, Borusan and Ekol had the highest performance, while Noatum, BDP International and Horoz had the lowest performance in 2022, respectively. The reliability and robustness of the proposed model was tested with sensitivity and comparative analyses. The results of the sensitivity analysis and comparative analysis showed that the proposed model provides consistent results.Öğe The Mediating Role of Forgiveness and The Moderating Role of Perceived Partner Responsiveness in The Relationship Between Victim Sensitivity and Subjective Well-Being in Romantic Relationships(ÇUKUROVA ÜNİVERSİTESİ, 2025) Doğruyol, Sena; Aslan, AslıUnderstanding how the concept of victim sensitivity in romantic relationships is perceived by married adults and evaluating this concept within the framework of subjective well-being is of great importance. The primary aim of the current research is to assess an individual's subjective well-being in the context of victim sensitivity, perceived partner responsiveness, and forgiveness variables. In this direction, the mediating roles of forgiveness (avoidance, retaliation, and benevolence) in the relationship between victim sensitivity and subjective well-being have been tested first. Subsequently, the moderating role of perceived partner sensitivity in the relationship between victim sensitivity and forgiveness was examined. The study group consists of a total of 398 participants, including 230 women and 168 men. Data were obtained using Satisfaction with Life Scale (SWLS), Positive-Negative Affect Scale (PANAS), Marital Forgiveness Scale-Event (MFS-E), Perceived Partner Responsiveness Scale (PPRS) and Victim Sensitivity in Romantic Relationships Scale (VSRRS). Furthermore, a demographic information form prepared by the researcher was used to collect personal information such as gender, age, monthly income, duration of marriage, and education level. Before analyzing the data, assumptions such as sample size, outliers, missing values, linearity, normality, and multicollinearity were also tested. The results indicated that avoidance and benevolence serve as mediating roles in the relationship between victim sensitivity and subjective well-being, while retaliation does not have a significant role. Furthermore, when analyzing the results of the moderating variable, it suggests that perceived partner responsiveness does not have a moderating role in the relationship between victim sensitivity and forgiveness. In conclusion, high levels of victim sensitivity in romantic partners may lead to negative experiences within the relationship. Therefore, the development of intervention programs targeting this domain may offer valuable guidance for future research and therapeutic practices.Öğe Teacher Cognition and Practices in Using Generative AI Tools to Support Student Engagement in EFL Higher-Education Contexts(MDPI, 2025) Zaimoğlu, Senem; Dağtaş, AysunAs Generative Artificial Intelligence (GenAI) tools become increasingly embedded in higher education, English as a Foreign Language (EFL) teachers are challenged to rethink their pedagogical identities and practices. While policy discourses often promote GenAI for its potential to enhance instructional efficiency, little is known about how language teachers conceptualize and employ these tools to foster meaningful student engagement. This study explores how university-level EFL teacherinterpret and implement GenAI technologies to support student engagement through narrative inquiry. Drawing on three-level narrative approach, story, Story, and STORY, it examines nine language teachers' retrospective experiences with GenAI tools across personal, contextual, and sociopolitical dimensions. The findings indicate that teachers' interactions with GenAI are shaped by their pedagogical affordance, as well as their teaching values, imposed political agendas, and professional agency. This study calls for professional development programs specifically designed for teachers' narrative identities to ultimately facilitate the ethical use of GenAI in learner-centered EFL contexts.Öğe Body Image And Body Dissatisfaction In Early Childhood(ÇUKUROVA ÜNİVERSİTESİ, 2024) Kale, Mustafa; Gül, Ebru Deretarla; Kaya, Muhammet Talha; Çakmak, SonerIn this study, the relationship between body image scores perceived and desired by children in early childhood and body dissatisfaction was investigated. The relational survey method, one of the quantitative research methods, was used in the study. A total of 539 children (268 boys and 271 girls) between the ages of 4 and 6 attending seven state kindergartens in Adana were included in the study. The pictogram scale for children developed by Colllins (1991) was used to determine body image. In addition, anthropometric measurements were made to calculate the body mass index of the children. Data were analyzed according to the distribution of BMI z-scores of boys and girls according to current body shape. Given that the data were not normal, the Spearman correlation coefficient was used to confirm the correlation between the BMI z-score and the current body size and degree of body dissatisfaction in both sexes. The SPSS 26 statistical package program was used in the analysis of the data. While girls want a slimmer body from their children, boys, on the contrary, want a larger body. It shows that about 34% of children have body dissatisfaction.Öğe Effect of trade on ecological quality: a case of D-8 countries (Retracted article. See vol. 31, pg. 61341, 2024)(SPRINGER HEIDELBERG, 2019) Ahmed, Khalid; Öztürk, İlhan; Ghumro, Ikhtiar Ali; Mukesh, PirihSustainable development inculcates the process of preserving the environment for future generations while maintaining existing human needs. This study attempts to empirically investigate the relationship between CO2 emissions, GDP, energy consumption, and imports and exports using yearly data between 1980 and 2014 for the panel of eight developing countries (i.e., Bangladesh, Egypt, Iran, Indonesia, Malaysia, Nigeria, Pakistan, and Turkey). All the tests for cointegration establish the long-run association among the variables and confirm the environmental Kuznets curve (EKC) hypothesis for the panel of eight countries. GDP and energy consumption remained significant factors for emission intensity both in the long and short run. However, exports found to be positive factor for emissions in the long run only and imports spur emissions in the short run. The country-specific results validate EKC hypothesis for Bangladesh, Iran, Nigeria, Pakistan, and Turkey. The findings are policy oriented and suggest that the countries' economic growth along with energy consumption and exports are highly emission intensive which require necessary adjustments at sustainable development policy front.Öğe Enhancing well-being in higher education: the role of job satisfaction and resilience among ELT instructors(FRONTIERS MEDIA SA, 2025) Zaimoglu, Senem; Dağtaş, AysunIntroduction As academic demands intensify and institutional pressures increase, university-level English Language Teaching (ELT) instructors face growing risks to their psychological well-being. Understanding the factors that contribute to their well-being is essential for ensuring sustainable professional engagement. This study investigates the role of job satisfaction and teacher resilience in promoting psychological well-being among ELT instructors in higher education settings.Methods A quantitative research design was employed, involving 173 ELT instructors working at universities in T & uuml;rkiye. Data were collected through three validated instruments: the Teacher Job Satisfaction Scale, the Teacher Resilience Scale, and the Psychological Well-Being Scale. Multiple regression analyses were used to explore the predictive relationships among the variables.Results Findings revealed that both job satisfaction and resilience significantly and positively predicted psychological well-being. Among the two, job satisfaction emerged as the strongest predictor. In addition, teacher resilience was found to partially mediate the relationship between job satisfaction and psychological well-being.Discussion The results highlight the importance of fostering emotionally resilient and professionally satisfied ELT instructors. Institutional policies that enhance autonomy, promote professional development, and support well-being are critical for sustaining mental health and effective teaching performance in demanding higher education contexts.Öğe Emotions inspire transformation: delving into EFL teachers' emotions and professional identities(FRONTIERS MEDIA SA, 2025) Dağtaş, Aysun; Zaimoğlu, SenemEmotions are increasingly recognized as central to the teaching and learning process, particularly in the context of language education. This study aimed to explore the intricate relationship between emotional experiences of language teachers and their evolving professional identities. Drawing on the theoretical frameworks of teacher emotions and identity, the research addresses the shift from cognitive to sociocultural and critical perspectives in studies about language teachers' emotions. Situated in a Turkish university context, the study involved semi-structured interviews and narratives from seven English language teachers. Participants shared insights into their emotional experiences, professional development, and challenges encountered in institutional and cultural settings. Thematic reflexive analysis revealed three main themes: (1) navigating emotional diversity, (2) dealing with emotional diversity and regulation, and (3) emotional alignment. The results revealed the complex and dialogic nature of the relationship between teacher emotions and identity, which points the need for emotionally supportive professional environments. This study contributes to a broader understanding of identity work as an emotional process, offering implications for teacher education and well-being in language teaching contexts.Öğe Examining the Role of Food Technology Neophobia in Shaping Consumer Attitudes and Intentions to Purchase Genetically Modified Foods(MDPI, 2025) Ozelturkay, Eda Yasa; Dogrul, Umit; Oguz, Suzan; Yalçıntaş, Deniz; Gülmez, MuratIn recent years, significant changes in food consumption habits have emerged due to various factors, including climate change, population growth, urbanization, and the depletion of natural resources. These changes pose a threat to the stability of global food systems and raise serious concerns about food security. Although this process encourages innovative and sustainable food consumption, it also makes individuals more skeptical and concerned about new foods. In this context, understanding consumer intentions regarding behaviors such as purchasing genetically modified (GM) foods is critical for predicting consumer responses and promoting responsible consumption patterns within the scope of sustainability. This study examined the effects of food technology neophobia and perceived information on attitudes and purchase intentions toward genetically modified (GM) foods. Survey data were collected from 324 participants across Turkey and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that food technology neophobia reduces perceived benefits and increases perceived risks, whereas perceived information enhances perceived benefits and lowers perceived risks. Additionally, attitudes were found to influence the intention to purchase GM foods significantly. Global issues, such as climate change and the depletion of natural resources, highlight the importance of innovations in food technology for sustainable food production. Understanding consumer concerns and perceived knowledge levels regarding genetically modified (GM) foods is critical to ensuring that these products are accepted at the societal level in an informed and conscious way. This study contributes to the promotion of sustainable food technologies and responsible consumer behavior, in line with the objectives of Sustainable Development Goal 12 (Responsible Consumption and Production).Öğe Determining the Factors Affecting University Students' Green Entrepreneurship Intention(MEHMET AKIF ERSOY UNIVERSITY, 2025) Yalçıntaş, Deniz; Ozelturkay, Eda YaşaIt is essential that people, businesses, and the government provide sustainable solutions to the environmental problems the globe suffers. Green entrepreneurship is one way to address these issues. In the research model based on the Value Identity Norm Model, the primary goal is to determine the moderating influence of variables (such as family, education, support of government & university) as well as the impact of these factors on university students' intention to participate in green entrepreneurship. Through a face-to-face survey, information was gathered from 475 students enrolled at four higher education institutions in the province of Mersin. Using the SmartPLS 4 tool, the data was analyzed in the context of structural equation modeling using partial least squares. The study's findings showed that university students' intents for green entrepreneurship were strongly influenced by biospheric values, environmental self-identities, personal norms, and green entrepreneurship self-efficacy. It showed that the decision to participate in sustainable enterprises is affected by personal norms and environmental self-identities. It was found that families, schools, colleges, and the government had little to no moderating effect.
