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
Digital finance and poverty in fragile states: Evidence from Somalia’s mobile money diffusion
(Ibn Haldun University Press, 2026) Hassan, Arab Dahir; Yönetim Bilimleri Fakültesi, İktisat Bölümü
Financial inclusion is increasingly recognized as a catalyst for achieving the Sustainable Development Goals (SDGs), particularly in reducing poverty (SDG 1), ensuring food security (SDG 2), and promoting reduced inequalities (SDG 10). In fragile states such as Somalia, where decades of conflict and institutional weakness constrain formal financial systems, digital financial services have emerged as a critical alternative. This study investigates the determinants of household wealth in Somalia using nationally representative data from the Somali Demographic and Health Survey (SDHS), comprising 26,180 households after cleaning. Wealth is measured via the standardized Wealth Index, with explanatory variables capturing demographic, socioeconomic, and infrastructural conditions-including household size, education, property ownership, electricity access, and mobile money use. Ordered logit and probit models are employed to assess these relationships. The results demonstrate that access to mobile money significantly enhances household wealth, alongside educational attainment, electricity supply, and secure home ownership. Spatial disparities are observed, with northern and eastern regions outperforming the conflict-affected south, while rural and nomadic households remain structurally disadvantaged. These findings highlight the transformative role of mobile money in advancing financial inclusion, while also emphasizing the need for complementary investments in infrastructure and education to ensure equitable development. Policy efforts should prioritize expanding digital financial services, bridging urban-rural divides, and addressing geographic inequalities to accelerate progress toward SDG 1, SDG 2, and SDG 10 in Somalia.
Rethinking phosphate infrastructure in Morocco: Technopolitics, extractivism, and Islamic environmental ethics
(Ibn Haldun University Press, 2026) Fadil, Safa
Following the 2020 global crisis, food security became a crucial focus, elevating Morocco’s phosphate industry to a new level of global significance. Phosphate production is not only linked to fertilizers but also influences green energy transitions and economic growth. Since its discovery, phosphate extraction has been viewed only as a technical objective economic resource for exploitation. However, scholarship reveals its subjective ideological nature, especially within the postcolonial context of Morocco, where large-scale projects often serve the interests of colonial powers and capitalism. This research examines Morocco’s phosphate industry not only as a system of material extraction and distribution, but as an epistemological regime that shapes which forms of knowledge and ethics are deemed legitimate. Drawing critiques from technopolitics, extractivism, and epistemic violence, the study explores how phosphate infrastructure and extraction establish certain knowledge and worldviews and erase other alternatives. In response, it proposes Islamic environmental ethics, grounded in concepts like khilāfa, mīzān, and ʿadl, as an alternative framework for rethinking the phosphate infrastructure. By reintroducing Islamic ethical thought into the academic realm, the project promotes a decolonial approach. It criticizes Morocco’s extractivist model by reviving neglected Islamic knowledge and highlighting its importance for sustainable governance. This approach adds to broader conversations on environmental justice, development ethics, and the re-politicization of infrastructure in the Global South.
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...
