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
From aid to autonomy: Rethinking structural dependency in sustainable African digital development
(Ibn Haldun University Press, 2026) Blama, Keita; Alidu, Abdul-Baaki
The rapid digitalisation of governance systems across Africa has been propelled in large part by foreign aid and donor-driven initiatives. However, recent global aid cuts exacerbated by shifting geopolitical priorities, economic crises, and post-pandemic retrenchment have disrupted these efforts, revealing deep structural vulnerabilities in many African states, particularly at the local government level. This paper thus comparatively examines how the withdrawal of USAID support affects specific digitalisation projects/programmes in different African countries, with a specific focus on the USAID Ubora Mashinani program (Kenya) and Governance for Local Development (GoLD) / GoLD+(Senegal). Framed through the lenses of dependency theory and world-systems theory, the study situates the donor-recipient relationship within a broader historical and economic structure that reinforces technological dependence and peripheral positioning in the global digital economy. By analysing empirical cases in sub-Saharan Africa, the paper explores the cascading effects of aid cuts on the achievement of Sustainable Development Goals (SDGs) 11 (sustainable cities and communities) and 16 (peace, justice, and strong institutions). Ultimately, the paper argues that Africa’s digital future must be reimagined through regional and locally supported strategies that reduce reliance on external actors and build resilient institutions from the ground up.
Inclusive AI in diverse linguistic contexts: A phenomenological exploration of user experiences with ChatGPT
(Ibn Haldun University Press, 2026) Armağan Boğatekin, Merve; İnsan ve Toplum Bilimleri Fakültesi, Psikoloji Bölümü
Purpose: This study investigates how using a first or second language influences user perceptions of ChatGPT. It aims to better understand how multilingual contexts shape AI-human interactions. Design/methodology/approach: After participants interacted with ChatGPT in both their native language (Turkish) and second language (English), semi-structured interviews were conducted. We conducted a phenomenological analysis that examined emotional engagement, human likeness, cultural fluency, and perceived intelligence in both languages. Findings: Participants with lower English proficiency attributed more humanlike qualities to ChatGPT in their native language, Turkish. They also reported stronger emotional engagement in their native language. However, most participants perceived English interactions as more efficient and intelligent, and concerns arose over ChatGPT’s cultural fluency. Research limitations/implications: Balancing emotional connection with linguistic and cultural accuracy is tricky for non-native speakers of English. These results show the importance of language and cultural context in shaping perceptions of AI The study was conducted with 33 participants, and the findings are not generalizable to the whole population. Practical implications: The study offers valuable insights that help researchers and professionals achieve a broader understanding of AI-human interaction across languages. Therefore, AI systems must improve linguistic proficiency and cultural fluency to be more inclusive and humanlike. Originality/value: This study explores the experiences of non-native English speakers with AI.
Effects of biomass energy extraction and agricultural land use on land use emission in Nigeria
(Ibn Haldun University Press, 2026) Baita, Abubakar Jamilu; Hussein, Mohammed Andani
The harnessing of biomass energy resources and agricultural land expansion have consequences on land use emission. Both agricultural expansion and biomass energy production continue to drive land use change due to their direct connection to forestry. High demand for biomass to produce biofuel might cause agricultural expansion, leading to biodiversity reduction, degradation of soil quality and higher land use emission. On this background, the research examines the effects of biomass energy extraction and agricultural land use on land use emissions in Nigeria. The study compiles data from FAO and WDI and covers the 1990- 2022 period. We employ fully modified ordinary least square (FMOLS) model with land use emissions as the dependent variable. Meanwhile, the explanatory variables include biomass energy extraction, hectares of agricultural land, and hectares of forest land...
Assessing the impacts of digital impacts of Digital Finance Services on Financial Inclusion in the Americas
(Ibn Haldun University Press, 2026) Ali, Usman
This research aims to examine the diverse effects that Digital Financial Services (DFS) exerts on promoting Financial Inclusion (FI) in the Americas. Indeed, we fill the gaps explored from the literature, such as a lack of studies for both American regions, the use of classical probit and logit models by most existing studies, and the lack of employing interaction terms. This research’s primary objectives are to determine how DFS impacts FI in the region, examine which socio-economic factors significantly influence FI, and explore the interactive impacts of DFS with socio-demographic attributes on FI...
Economic and institutional drivers of social welfare expenditure in emerging economies
(Ibn Haldun University Press, 2026) al-Ziyadi, Nuha; Yerlikaya, Murat
This research examines the economic and institutional factors influencing public social welfare spending in eight emerging countries –Bulgaria, Chile, Colombia, Hungary, Korea, Romania, Poland, and Turkey– over the period from 2010 to 2023. By employing a fixed effects panel regression model with robust standard errors, we assess how employment rates, government consumption, GDP per capita, government effectiveness, regulatory quality, and control of corruption affect levels of social spending. The findings indicate that higher employment rates and enhanced government effectiveness are significantly linked to reduced welfare expenditure, implying that better labor market conditions and administrative competence may lessen the necessity for extensive social support. Conversely, increased government consumption, elevated GDP per capita, stronger regulatory quality, and improved control of corruption show a positive relationship with social welfare expenditure, highlighting that both economic capacity and institutional integrity are vital in increasing public investment in social programs. These results emphasize the need to align macroeconomic policies with institutional reforms to maximize the scale and effectiveness of social welfare spending in emerging economies.
