The misalignment between a stated research gap and the corresponding research proposal was among the most common and consequential errors in academic research design, yet it received relatively little systematic attention in research methodology instruction. When researchers identified a gap in the literature but then design a study that does not substantively address that gap or when the research gap was so broadly or vaguely articulated that it cannot coherently motivate any specific study; the entire scholarly enterprise was compromised: the research questions become directionless, the methodology becomes unjustifiable, and the contribution of findings becomes unclear. This qualitative study explored how postgraduate students and academic supervisors in Ugandan universities understand, experience, and attempt to navigate the challenge of gap-proposal alignment. Drawing on in-depth interviews with 34 participants including 22 postgraduate students and 12 academic supervisors at five Ugandan universities the study generated rich phenomenological accounts of confusion, frustration, breakthrough, and development around this methodological challenge. Findings revealed that gap-proposal misalignment is nearly universal among early-stage postgraduate students, was frequently not diagnosed until late in the proposal development process, and was experienced by both students and supervisors as one of the most difficult intellectual challenges in graduate education. The study proposed a practical conceptual framework-the Gap-Purpose-Questions (GPQ) alignment model grounded in participants' accounts of what helped them achieve coherence, and illustrates its application through three detailed case examples drawn from Ugandan research contexts.

Emissions of carbon have recently been found to pose potential public health risks since they affect air quality, transmission of climate-sensitive diseases and the environment in which infectious disease agents thrive. Nonetheless, there is little known about the relationship between carbon emissions and infectious diseases in HIPCs. This paper investigates the aggregate and individual country effect of carbon emissions on infectious disease burden in 28 HIPCs in Africa between 1990 and 2023. Infectious diseases include adult HIV prevalence rate, incidence rate of tuberculosis per 100,000 inhabitants and incidence rate of malaria per 1,000 population at risk. The dependent variables used include carbon emissions measured in metric tons per capita while other control variables used are the percentage of urban population, GDP per capita, current health expenditure and percentage access to basic sanitation facilities. For the statistical analysis, second-generation panel procedures have been employed which include cross-sectional dependence tests and slope heterogeneity test followed by the Augmented Mean Group estimator. The findings show that carbon emissions have a positive and significant effect on all three infectious-disease indicators. In aggregate terms, 1% change in carbon emissions is associated with a 0.025% change in adult HIV prevalence rate, 0.201% in tuberculosis incidence rate and 0.049% in malaria incidence rate. The effect of carbon emissions on the above three indicators shows large heterogeneities across countries such as Senegal, Burkina Faso, Cameroon, Niger, GuineaBissau, Gambia and Zambia depending on disease outcomes. Thus, climate and pollution sensitive public health risks need to be incorporated in debt-sensitive development, urbanization and health system financing policies in African HIPCs. It has contributed to environmental health and development literature in that carbon emissions have not only environmental-growth consequences but also disease-burden consequences in fiscally constrained African economies.

This study investigated the relationship between conference facility quality and the attraction and retention of corporate clients at Jobia Hotel in Mukono, situated along the Kampala–Jinja highway-one of Uganda's most strategically positioned hospitality establishments serving the growing corporate travel and meetings, incentives, conferences, and exhibitions (MICE) market segment. As Uganda's business services and regional headquarters sector expanded following the country's return to political stability and sustained economic growth, the MICE market had become an increasingly important revenue source for Ugandan hotels, yet the specific facility attributes, service quality dimensions, and operational factors that differentiated hotels in their ability to attract and retain corporate conference clients had received little systematic empirical attention. Drawing on a survey of 294 respondents comprising corporate event managers, business travellers, hotel management staff, and conference coordinators, the study employed descriptive statistics, hierarchy-of-controls service quality analysis, bivariate correlation and chi-square analysis, and multilevel mixed-effects logistic regression to identify the determinants of corporate client attraction and retention. The results demonstrated that technological infrastructure quality including high-speed WiFi, audio-visual equipment, and video conferencing capability was the single strongest predictor of corporate client attraction (OR = 7.14, p < .001), followed by catering quality (OR = 4.83, p < .001) and accommodation integration (OR = 3.97, p < .001), while at the environmental level, location accessibility (OR = 3.24, p < .001) and hotel reputation score (OR = 2.87, p < .001) were significant structural determinants. The study benchmarks its technology findings against Asiimwe et al. (2026), drawing the parallel that digital infrastructure quality in conference hospitality settings operates with the same structural centrality as in educational settings as the non-negotiable foundational enabler of the service value proposition, without which other facility investments deliver substantially diminished returns.

This study examined corporate risk management frameworks, crisis response capabilities, and the structural determinants of effective risk governance at Kampala Capital City Authority; Uganda's most complex local government institution, managing the capital city's infrastructure, services, planning, and enforcement functions across a metropolitan area of over 3.5 million residents and serving as the primary institutional vehicle for Kampala's economic and spatial development. KCCA's operational environment combined the risk complexity of a major municipal government encompassing public infrastructure failure, environmental hazards, urban flooding, fire outbreaks, pandemic response, and regulatory compliance risks with the political complexity of a directly appointed authority operating under dual accountability to the elected Kampala Mayor and the appointed Executive Director in a governance arrangement that created distinctive risk management challenges not present in conventional local government or private sector risk frameworks. Drawing on a cross-sectional survey of 247 respondents comprising KCCA departmental directors, technical officers, risk management unit staff, Kampala Metropolitan Police, urban planning officials, civil society representatives, and business operators in Kampala's central division, supplemented by analysis of KCCA's risk register documentation, crisis response incident records, and audit reports, this study employed descriptive statistics, hierarchy-of-controls crisis response analysis, bivariate Pearson correlation and chisquare association, and multilevel mixed-effects logistic regression to examine the determinants of risk management effectiveness and crisis response quality. The findings demonstrated that risk identification comprehensiveness (β = 0.574, p < .001), inter-departmental risk communication quality (β = 0.541, p < .001), and crisis response plan activation fidelity (β = 0.512, p < .001) were the strongest independent predictors of risk management effectiveness, while institutional factors including leadership risk culture (OR = 7.12, p < .001), digital early warning system adoption (OR = 5.84, p < .001), and staff risk management training (OR = 5.41, p < .001) were the strongest structural predictors. The study benchmarks its findings against Asiimwe et al. (2026), drawing the parallel that KCCA's crisis response effectiveness depended on the same complementarity of institutional infrastructure and human capacity that Asiimwe et al. demonstrated for CBE implementation readiness with digital early warning systems constituting the infrastructure dimension and staff risk management training constituting the human capacity dimension whose joint development was required for effective crisis response. The study recommended KCCA risk register operationalization, inter-departmental crisis coordination protocol strengthening, and digital urban risk monitoring investment, leadership risk culture development, and community risk communication improvement as the five priorities for a comprehensive corporate risk management reform agenda.

This study examined the relationship between debt financing and the financial performance of small and medium enterprises (SMEs) in Wakiso District, Uganda. Wakiso District; the most populous district in Uganda, surrounding Kampala and characterised by a dense concentration of SMEs across manufacturing, trade, services, and agroprocessing — provided an ideal research context for examining debt financing dynamics given the diverse range of SME types, financing needs, and lender relationships present in the district. Drawing on a cross-sectional survey of 178 SME owner-managers, finance managers, and lenders across 84 selected SMEs in Wakiso District, the study employed descriptive statistics, Pearson correlation, multiple linear regression, and SEM path analysis to examine how short-term debt financing, long-term debt financing, and debt cost management influenced SME profitability, liquidity, and growth performance. Descriptive statistics revealed moderate levels of debt financing effectiveness across all dimensions (means 3.24–3.61). Pearson correlation confirmed significant relationships between all debt financing dimensions and financial performance (r = 0.541–0.682, p < .001). Multiple regression demonstrated that the three dimensions collectively explained 59.8% of variance in SME financial performance (R² = 0.598, F = 29.74, p < .001). SEM analysis revealed long-term debt financing as the strongest total effect predictor (total β = 0.467), with debt cost management partially mediating its relationship with performance. Recommendations address debt structure optimisation, interest cost reduction, and financial literacy strengthening for SME owner-managers.

Land conflict remains one of the most pervasive and destabilizing forces in Uganda's rural communities, undermining household welfare, social cohesion, and economic productivity in ways that formal statistics inadequately capture. In Kigezi Region-a densely populated highland area in south-western Uganda comprising Kabale, Kisoro, Rukiga, and Rubanda districts; the combination of land scarcity, population pressure, cultural inheritance norms, gender discrimination, and weak land governance creates a particularly volatile conflict environment where disputes routinely spiral from minor boundary disagreements into multigenerational feuds that consume families financially, emotionally, and socially. This qualitative study investigates the drivers of land conflict progression among households in Kigezi Region, employing an interpretive phenomenological design to capture the lived experiences, emotions, perceptions, and coping strategies of community members enmeshed in land disputes. Data were collected through 42 in-depth interviews and 6 focus group discussions with purposively sampled participants including household heads, women, youth, elders, local council leaders, and land tribunal officers. Thematic analysis using NVivo 12 was employed to generate rich, grounded interpretations of conflict progression dynamics. Findings reveal that land conflicts in Kigezi Region are driven by a complex interplay of inheritance disputes, boundary encroachments, population-induced land fragmentation, corruption in land administration, gender discrimination in land rights, alcohol-fuelled dispute escalation, and the emotional trauma of displacement and dispossession. Participants described feelings of helplessness, anger, shame, and hopelessness that compound material losses and generate intergenerational cycles of grievance. The study concluded that addressing land conflict in Kigezi Region requires not only legal and administrative reforms but culturally sensitive, trauma-informed conflict transformation approaches that address the emotional and relational dimensions of land dispossession alongside its legal manifestations.

This study examined the prevalence, causes, and effects of drug abuse among youths in Arua District, located in the West Nile sub-region of northwestern Uganda; a geographically strategic, economically transitional, and demographically young district whose proximity to the Democratic Republic of Congo and South Sudan, history of armed conflict, and rapid post-conflict urbanisation had created conditions associated with elevated drug abuse vulnerability among its youth population. Drawing on a cross-sectional survey of 342 respondents comprising youth aged 15–35, community health workers, schools, law enforcement, and social welfare officials, supplemented by district health management information system data and key informant interviews, this study employed descriptive statistics, hierarchy-of-controls substance exposure analysis, bivariate chi-square and Pearson correlation analysis, and multilevel mixed-effects logistic regression to examine the determinants of drug abuse initiation, escalation, and the multi-domain effects of drug abuse on educational attainment, economic productivity, family relations, health, and community safety. The findings demonstrated that peer influence (OR = 7.84, p < .001), unemployment or economic idleness (OR = 6.42, p < .001), and early exposure to substance use within the family (OR = 5.87, p < .001) were the strongest independent predictors of drug abuse initiation, while the effects of drug abuse on educational dropout (OR = 8.14, p < .001), criminal justice involvement (OR = 6.73, p < .001), and family breakdown (OR = 5.41, p < .001) were the most severe documented consequences. The study benchmarks its multi-level analytical approach against Asiimwe et al. (2026), whose structural equation modelling in the education sector demonstrated that outcomes were determined by the interaction of individual-level capacity and structural-institutional enablers — arguing that drug abuse similarly operated through the interaction of individual vulnerability factors and structural social determinants that required simultaneous intervention at both levels. The study called for integrated youth drug abuse prevention programming, community-based treatment and rehabilitation, livelihood support for youth, family strengthening interventions, and strengthened drug supply control as a comprehensive response package for Arua District.

This study examined the intersection of emerging technologies including artificial intelligence, autonomous weapons systems, cyber capabilities, unmanned aerial vehicles, and surveillance technologies with international security frameworks, arms control regimes, and Uganda's national security policy landscape. As technologically advanced states accelerated the militarization of artificial intelligence and the deployment of autonomous lethal systems, developing nations including Uganda faced a dual challenge: managing the security implications of technologies whose proliferation they could not fully control, while seeking to leverage accessible digital and cyber capabilities for legitimate national security, public safety, and border management purposes. Drawing on a mixed-methods design comprising structured interviews with 186 respondents including Uganda People's Defence Force senior officers, Uganda Police Force cybercrime unit officers, Office of the President security advisors, Ministry of Foreign Affairs arms treaty compliance officials, civil society human rights researchers, and academic security studies scholars, supplemented by documentary analysis of Uganda's treaty commitments, security legislation, and technology procurement records, this study employed descriptive profiling, hierarchy-of-controls technology security assessment, bivariate chi-square and Pearson correlation analysis, and multilevel mixed-effects logistic regression to examine Uganda's regulatory readiness for emerging technology security challenges, the adequacy of existing arms control frameworks in the face of these technologies, and the structural determinants of effective national security technology governance. The findings demonstrated that regulatory framework comprehensiveness (β = 0.574, p < .001), interagency coordination quality (β = 0.541, p < .001), and technical capacity for technology assessment (β = 0.512, p < .001) were the strongest independent predictors of effective emerging technology security governance, while international partnership quality (OR = 6.41, p < .001), institutional digital literacy among security professionals (OR = 5.84, p < .001), and dedicated technology security legislative frameworks (OR = 5.12, p < .001) were significant structural predictors. The study benchmarks its institutional-capacity findings against Asiimwe et al. (2026), whose comparative structural equation modelling established that human capacity mediated 36.9% of infrastructure's total effect on implementation readiness arguing that Uganda's security institutions faced the same complementarity challenge in emerging technology governance: that technical infrastructure investment without corresponding human analytical capacity produced only partial security governance effectiveness. The study concluded that Uganda's engagement with emerging technology security challenges was reactive, under-resourced, and insufficiently institutionalized, and called for dedicated cybersecurity and emerging technology legislation, strengthened interagency security technology coordination, regional African Union engagement in emerging technology arms control, and sustained investment in security professional technical capacity as the priority reform agenda.

Incarceration fractures intimate partnerships with a force that few other life events can match. The removal of one partner from the shared domestic space, the imposition of supervised communication, the financial devastation of legal costs and single-income households, the social stigma that attaches to the families of the incarcerated, and the profound relational distance generated by years of separation together constitute a marital trauma of extraordinary intensity. Yet when the incarcerated partner is released, a further and often overlooked paradox confronts couples attempting reconciliation: even when the non-incarcerated spouse has extended genuine forgiveness, and even when the released partner has made sincere efforts at rehabilitation, systemic and structural barriers — parole conditions, employment restrictions, housing exclusion zones, sex offender registries,

This study examined the role of information and communication technology (ICT) usage in the management of higher education institutions in Uganda, with Metropolitan International University (MIU) as the primary case study. The study was motivated by growing recognition that effective ICT integration in university management spanning academic records management, student services, financial management, human resources administration, and institutional communication was a critical determinant of management efficiency, service quality, and institutional competitiveness in Uganda's rapidly growing and increasingly competitive higher education sector. Employing a cross-sectional survey design with quantitative and qualitative methods, data were collected from 124 respondents including academic staff, administrative staff, students, and senior management. ICT usage was operationalised through three dimensions: academic management ICT systems, administrative management ICT systems, and communication ICT systems, while management effectiveness constituted the dependent variable. Descriptive statistics revealed moderate to high levels of ICT adoption across all dimensions (means 3.41–3.78). Pearson's correlation analysis demonstrated significant positive relationships between all three ICT usage dimensions and management effectiveness (r = 0.584 to 0.714, p < .001). Multiple linear regression revealed that the three dimensions collectively explained 67.8% of the variance in management effectiveness (R² = 0.678, F = 42.37, p < .001), with academic management ICT systems emerging as the strongest individual predictor (β = 0.408, p < .001). The study concluded that ICT usage was a critical driver of management effectiveness at MIU and recommended systematic ICT infrastructure investment, staff capacity building, and integrated enterprise resource planning adoption.