İHÜ Araştırma ve Akademik Performans Sistemi
DSpace@İHÜ, İbn Haldun Üniversitesi’nin bilimsel araştırma ve akademik performansını izleme, analiz etme ve raporlama süreçlerini tek çatı altında buluşturan bütünleşik bilgi sistemidir.
Güncel Gönderiler
Dijital ve fiziksel arasında hibrit bir performans mekânı: Üsküdar Uncular Sokağı’nın mekânsal dönüşümü ve yeni Müslüman gençlik pratikleri
(Fecr Yayın, 2026) Yeşil, Yunus; Başak, Mehmet Ali; İnsan ve Toplum Bilimleri Fakültesi, Sosyoloji Bölümü
[No Abstract Available]
Language as power in the language teacher education ecosystem
(Cambridge University Press, 2026) Kamali, Jaber; Rektörlük, Yabancı Diller Okulu
This Element aims to examine how language operates as power across the ecosystem of language teacher education (LTE). It maps how language-as-power (LaP) works at three layers: microsystem (teachers and classrooms), mesosystem (institutions), and macrosystem (socio-politics). Section 1 surveys LaP historically, tracing its historical evolution from Plato to contemporary theorists and showing how these ideas shape LTE. Building on this history, Sections 2–4 unpack LaP across ecological layers: microsystem, mesosystem, and macrosystem. Section 5 looks forward, analyzing AI’s redistribution of power at each scale, and applying a 3Ps (possible, probable, and preferable) futurology to chart potential pathways. Anchored in experiences from the Global South, the Element argues that LaP in LTE needs awareness and action. It offers ideas on how to address these issues in LTE through solutions such as widening epistemic access, contesting monolingual norms, and institutionalizing dialogic, justice-oriented professionalism and trans-speakerism, to name a few.
Frugal innovation in the Turkish leather industry: Roles of knowledge management, transformational leadership, and sustainable investment
(Conscientia Beam, 2026) Şahin Edlbi, Şeyma; Yılmaz, Mustafa Kemal; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This study examines the impact of knowledge management, transformational leadership, and investments on frugal innovation in 40 Turkish small and medium-sized leather companies for the year 2024. Quantitative data were collected using a semi-structured questionnaire and analyzed with PLS-SEM. Additionally, interviews with senior managers were categorized and coded for qualitative analysis of frugal innovation and knowledge management practices. The results indicate that transformational leadership, knowledge management, and investments significantly contribute to frugal innovation. Moreover, knowledge management is the strongest predictor of frugal innovation (β=0.421, p<0.001), followed by investments (β=0.313, p=0.042), whereas transformational leadership is the strongest predictor of knowledge management (β=0.521, p<0.001). These findings demonstrate that organizations' intangible capabilities, such as knowledge, skills, and organizational culture, facilitate frugal innovation when operating under resource constraints. The evidence further suggests that effective knowledge management practices can serve as an alternative to additional investments in tangible assets, such as machinery or technology. The results offer valuable insights for managers to align investments with a knowledge-driven strategy and to adopt transformational leadership that promotes knowledge sharing for frugal innovation. From a practical perspective, this research provides managers and policymakers with useful, evidence-based recommendations to enhance competitiveness and sustainability in traditional manufacturing sectors through frugal and knowledge-based innovation approaches.
Retraction Note: Does environmental sustainability afect the renewable energy consumption? Nexus among trade openness, CO2 emissions, income inequality, renewable energy, and economic growth in OECD countries
(Springer Nature, 2026) Muhammad, Iftikhar; Özcan, Rasim; Jain, Vipin; Sharma, Paritosh; Shabbir, Malik Shahzad; Yönetim Bilimleri Fakültesi, İktisat Bölümü
The Publisher has retracted this article in agreement with the Editor-in-Chief. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised peer review process, inappropriate or irrelevant references, containing nonstandard phrases or not being in scope of the journal. Based on the investigation's findings the publisher, in consultation with the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. Iftikhar Muhammad stated on behalf of all authors that they agree with this retraction.
The predictive role of artificial intelligence applications in enhancing psychological flourishing & sustainable development among Fayoum University students
(Springer Nature, 2026) Elwakeel, Sayed; Bulut, Sefa; Hamza, Tarek; Ewees, Arzak; Eğitim Bilimleri Fakültesi, Rehberlik ve Psikolojik Danışmanlık Bölümü
Purpose: This study examines the extent to which artificial intelligence (AI) applications predict psychological flourishing and sustainable development among Fayoum University students. It further explores gender differences in AI usage, flourishing levels, and sustainability orientations, as well as the interrelationships among the three variables. Methods: A quantitative correlational design was employed using validated scales measuring AI application use, psychological flourishing, and sustainable development. The sample consisted of 190 university students from Fayoum University (Egypt) there ages were between 20 and 25 years. The mean age was 22.54 years, with a standard deviation of 3.22 years. Data were analyzed using t-tests, Pearson’s correlation coefficients, and simple linear regression to test the study hypotheses. Results: Findings revealed no significant gender differences in AI application use, while significant differences were found in psychological flourishing and sustainable development in favor of male students. Significant positive correlations emerged among AI use, flourishing, and sustainability. Regression analyses showed that AI application use moderately predicted psychological flourishing (R2 = 0.098) but strongly predicted sustainable development (R2 = 0.604), indicating that AI plays a substantial role in shaping students’ sustainability-related behaviors. Conclusions: The study demonstrates that AI applications contribute meaningfully to enhancing students’ well-being and sustainability practices, with a stronger influence on sustainability outcomes. These findings underscore the growing relevance of AI-driven learning environments in promoting sustainable education and student development. Implications: The results highlight the need for integrating AI-based tools into higher education policies, fostering responsible AI use, and developing institutional initiatives that enhance students’ well-being and sustainability competencies.
