Journal of Research Administration

Geovani Da Costa Nogueira; Marlene Valerio Dos Santos Arenas; Valmir Batista Prestes De Souza PDF

Urban land regularization is a strategic instrument for the realization of the right to housing and the management of cities. This study analyzes the Urban Land Regularization (REURB) process, established by Federal Law No. 13,465/2017, focusing on the results obtained in the municipality of Porto Velho, Rondônia, between 2017 and 2023. The methodology adopted consisted of qualitative research based on document analysis of reports from the Municipal Secretariat of Land Regularization, Housing, and Urbanism (SEMUR), a literature review, and interviews with stakeholders involved in the process. The results indicate that although the municipality has achieved significant progress through the "Regularizar é Progresso" program and the implementation of "REURB Online," there is a disconnect between the increase in allocated financial resources and the actual number of regularized properties, demonstrating that capital investment alone does not guarantee the speed of the processes. It is concluded that land regularization in the Amazon region still faces structural challenges, such as bureaucratic complexity, the need for basic infrastructure, and socioeconomic hurdles. For the future, administrative simplification and greater coordination among federal entities are recommended to promote truly sustainable and inclusive urban development.    

Ayasal Anthony Auya (PhD), Ekaette, Glory Edem (PhD), Ugonna Obi-Emeruwa (PhD). PDF

Artificial Intelligence (AI) is fundamentally transforming global aviation, yet empirical evidence regarding its operational implications in emerging economies remains scarce. This study examined the impact of AI adoption on airline operational efficiency within Nigeria's major international aviation hubs: Murtala Muhammed International Airport, Lagos, and Nnamdi Azikiwe International Airport, Abuja. Adopting a quantitative cross-sectional research design, data were collected from 327 airline operational personnel, airport administrators, and aviation support staff, representing a 93.4% response rate from a population of 1,240. Structural Equation Modeling (SEM) analysed the relationship between multidimensional AI adoption—comprising predictive analytics, automated scheduling, decision-support systems, and customer service platforms—and operational efficiency indicators such as turnaround time reduction, operational reliability, and resource optimization. Grounded in Knowledge Management Theory, the Resource-Based View, and the Technology–Organization–Environment framework, the study posits AI as a strategic knowledge capability. The findings revealed a significant positive effect of AI adoption on operational efficiency (β = 0.64, p < 0.001), explaining 41% of the variance. Specifically, AI-enabled decision-support systems emerged as the strongest predictor (β = 0.31), followed by predictive analytics (β = 0.28), indicating that real-time intelligence and proactive planning are critical for mitigating operational uncertainties in resource-constrained environments. Conversely, customer service systems showed a modest impact, suggesting a strategic prioritization of backend operational technologies over front-end automation in this context. The study contributes to literature by validating these theoretical frameworks within an African aviation context, bridging a critical geographical gap. It concludes that AI represents a strategic capability for enhancing competitiveness and resilience. Practical implications include prioritizing investment in decision-support infrastructure, developing aviation-specific AI training programs, and fostering regulatory frameworks that enable digital transformation. These insights offer actionable guidance for airline operators, regulators, and policymakers seeking to enhance operational performance through strategic technology adoption in emerging markets.

Siyaka, A. A., Junaid A. M.; Musa, H. D.; & Martins, V. I. PDF

Adequate provision of low income housing is a major issue of concern in many parts of the world.  This study assessed the affordability and accessibility of low-income housing in the Federal Capital Territory (FCT) of Nigeria, with a view to identifying key constraints and proposing practical strategies for improvement. A survey research design involving 373 respondents selected from low-income civil servants and private housing developers was adopted, using cluster and purposive sampling techniques. Data were collected through structured questionnaires and analysed using descriptive and inferential statistical methods, which include the Housing Price-to-Income Ratio (HPIR), Housing Expenditure-to-Income Ratio (HEIR), Chi-square, and Spearman’s rank correlation. The findings revealed a severe housing affordability crisis. The HPIR for the dominant income group (?70,000–?100,000), representing 50.7% of respondents, was 10.29 for a 1-bedroom unit, while values reached as high as 20.10 for a 3-bedroom unit, indicating severe unaffordability across all income categories. Similarly, HEIR results showed that households in the same income group spend 61.8% of their income on a 1-bedroom unit, 76.5% on a 2-bedroom unit, and 120.6% on a 3-bedroom unit, far exceeding the 30% affordability threshold. In terms of accessibility, although 69.2% of respondents were aware of housing programmes, 70% had never applied, mainly due to high costs (83.9%), complex procedures (65.9%), and lack of information (60.5%). Among the applicants, only 17% were successful, while 75% were unsuccessful due to low income (81%), inability to meet deposit requirements (73.8%), and lack of mortgage access (69%). Furthermore, 76.4% of respondents were tenants, reflecting limited homeownership. Inferential analysis showed a statistically significant relationship between income and housing accessibility (Spearman’s ρ = 0.504, p < 0.001; χ² = 36.240), indicating that higher-income earners have better access to housing opportunities. The study concludes that existing housing delivery mechanisms in the FCT are ineffective in addressing the needs of low-income earners due to structural, financial, and administrative constraints. It recommends the adoption of flexible financing models, simplified allocation processes, and strengthened public-private partnerships to improve housing affordability and accessibility. Implement a National Housing Affordability Guarantee (NHAG), where the FCT Government commits to ensuring that no civil servant spends more than 30% of their income on housing. Adopt the Integrated Affordability and Accessibility Framework for Low-Income Housing Delivery in the FCT (IAAF-FCT).    

Bala Fatimah Kawu, Felix Ale, Rajesh Prasad, Emmauel Segun Shokenu, Jude Adeleke, Abdullahi Ayegba PDF

This study examines the impact of cloud computing adoption on small and medium enterprises (SMEs) in Nigeria, focusing on performance, sustainability, and competitiveness. Using survey data from SMEs across diverse sectors, the research applied quantitative analysis to evaluate adoption trends, benefits, and challenges. The results reveal that 89.1% of respondents have adopted cloud services, with significant improvements reported in efficiency (86.8%), cost reduction (86.3%), enhanced security (85.7%), and revenue growth (86.5%). Sectoral analysis shows that technology driven industries such as Fintech and Information Technology derive the greatest benefits, while traditional sectors like Manufacturing and Pharmaceuticals demonstrate slower but growing adoption. Comparative findings indicate that adopters consistently outperform non-adopters in business outcomes, confirming cloud computing as a strategic enabler of growth and sustainability. However, challenges including high costs, limited infrastructure, regulatory uncertainties, and cybersecurity concerns continue to hinder full utilization. The study concludes that cloud adoption not only strengthens SME performance but also positions the sector as a driver of national economic development, while highlighting the need for policies, infrastructure investment, and awareness initiatives to address persistent barriers.  

Umar Faruk, S.O.E. Sadiku, S.U. Ibrahim, Abdullahi Ibrahim, A.M.Orire & H.F. Maradun PDF

This study was conducted to determine and compare the Bioaccumulation Factors (BAF) for Heavy Metals in Fresh Fish, Water and Sediment of Some water bodies in Sokoto State, heavy metals contents of all the samples were found by atomic absorption spectrometry (AAS), Clarias gariepinus consistently exhibited the highest median BAFs for cadmium (Cd) and zinc (Zn), followed by Oreochromis niloticus. At the same time, Bagrus bayad showed the lowest accumulation for these metals. The elevated BAFs for Cd—particularly in C. gariepinus—are ecologically and toxicologically significant. The baseline assessment of heavy metal contamination across four aquatic systems in Sokoto State—Wurno River, Rima River, Romo Lake, and Shagari Dam—revealed distinct spatial and matrix-specific pollution profiles, with Shagari Dam emerging as a hotspot for Zn (0.387 mg/kg) and Mn (0.336 mg/kg) in sediment. At the same time, Rima River showed elevated levels of Cu (0.198 mg/kg) and Cd (0.070 mg/kg). Temporal analysis of Zn in water revealed pronounced seasonal fluctuations, particularly at Wurno River and Romo Lake, where concentrations peaked during months March, April, and October, potentially linked to agricultural runoff or industrial discharge cycles (Figure 2) and The high Mn concentrations in water, particularly at Wurno River and Romo Lake (exceeding WHO guidelines of 0.05–0.1 mg/L). Therefore, monitoring and managing these potential pollution sources is crucial to protecting the lake's ecosystem and the local population's health. The concentrations observed in the fish, particularly in B. bayad, are a clear indication that the dam's ecosystem is under stress from these pollutants.