This study examined the relationship between material handling systems and organisational productivity at Riham Cola Company Limited, Kawempe, Uganda. The study was motivated by persistent operational inefficiencies observed in the company's production and distribution processes, which were attributed to inadequate material handling practices. Using a cross-sectional survey design, data were collected from 120 respondents comprising production supervisors, warehouse managers, and line workers. Structured questionnaires and an interview guide were employed as primary data collection instruments. Descriptive statistics, Pearson correlation, and multiple regression analyses were used to analyse the data. The findings revealed a strong positive and statistically significant relationship between material handling systems — specifically storage and warehousing efficiency, material flow management, and equipment utilisation — and organisational productivity (r = 0.742, p < 0.001). The regression analysis further indicated that material handling systems collectively explained 61.4% of the variance in organisational productivity (R² = 0.614, F = 47.23, p < 0.001). The study concludes that investment in modern, efficient material handling systems substantially enhances organisational output, reduces waste, and improves delivery timelines. It is recommended that Riham Cola Company invest in automated conveyor systems, upgrade warehouse management software, and institute regular equipment maintenance schedules to sustain productivity gains.

This study investigated the relationship between monitoring practices and project performance in Kampala Capital City Authority (KCCA), Uganda. Guided by a positivist research philosophy and descriptive correlational design, the study drew a sample of 105 respondents from KCCA project staff using stratified random sampling. Data were collected using structured questionnaires and analysed using SPSS version 25. The study found that monitoring practices — comprising planning and scheduling, progress tracking, reporting systems, and feedback mechanisms — are positively and significantly correlated with project performance (r = .683, p &lt; .001). Regression analysis revealed that monitoring practices collectively explain 62.6% of the variance in project performance (R² = .626, F(4,100) = 41.87, p &lt; .001). The study concludes that robust monitoring practices are a critical determinant of project success in public institutions. It recommends that KCCA institutionalise real-time monitoring dashboards, invest in training project managers in monitoring and evaluation methodologies, and establish independent audit frameworks for all capital projects.

This study investigated the relationship between motivation strategies and work output among employees of Butambala District Local Government in Uganda. The specific objectives were: to examine the effect of financial motivation strategies on employee work output; to assess the influence of non-financial motivation strategies on employee performance; and to determine the relationship between recognition and reward systems and employee productivity. A correlational research design was employed. The study population comprised 186 local government employees from various departments, from which a sample of 127 respondents was drawn. Structured questionnaires, interview guides, and observation checklists formed the data collection instruments. Data were analyzed using descriptive statistics, Pearson's correlation, and multiple regression analysis. Results revealed that financial motivation (β=0.374, p<0.01), non-financial motivation (β=0.341, p<0.01), and recognition and reward systems (β=0.298, p<0.05) all significantly predicted work output, with the combined model explaining 61.3% of the variance in work output (R²=0.613, p<0.001). The study concludes that a balanced application of financial and non-financial motivation strategies is essential for enhancing productivity in local government settings. It recommends improved salary structures, transparent promotion criteria, and recognition programs as priority interventions.

This study examined the design, implementation, and user experience outcomes of an Online Student Admission Registration Management System (OSARMS) at Avance International University (AIU). The research was motivated by the inefficiencies, data loss, and accessibility barriers associated with the institution&#039;s legacy paper-based admission and registration processes. A mixed-methods approach was adopted, combining a quantitative survey of 178 system users including prospective students, enrolled students, and administrative staff with qualitative interviews of 12 key informants. The system&#039;s performance was evaluated against four dimensions: ease of use, data accuracy, processing efficiency, and user satisfaction. Descriptive statistics revealed high mean scores on processing efficiency and data accuracy, while regression analysis confirmed that these dimensions were the strongest predictors of overall user satisfaction (R² = 0.678). The study concludes that OSARMS significantly improved admission and registration management at AIU and recommends further enhancements to mobile optimization, server reliability, and multilingual support to maximize system inclusivity and effectiveness.

This study examined the influence of social media marketing on consumer purchasing behavior in Jumia Uganda. Social media platforms have become indispensable tools for e-commerce operators seeking to engage, inform, and convert prospective customers. The study specifically investigated how content marketing, influencer endorsements, targeted advertising, and interactive engagement on platforms such as Facebook, Instagram, TikTok, and Twitter affect the purchasing decisions of Jumia Uganda&#039;s customers. A descriptive and correlational research design was adopted, and data were collected from 248 respondents who were active Jumia Uganda users. Structured questionnaires were the primary data collection instruments, supplemented by interviews with selected digital marketing personnel. The findings revealed a statistically significant positive relationship between social media marketing activities and consumer purchasing behavior (r = 0.673, p &lt; 0.01). Regression analysis further demonstrated that social media marketing explains 45.3% of the variance in consumer purchasing behavior (R² = 0.453). The study concluded that social media marketing is a pivotal determinant of purchasing decisions among Ugandan online shoppers and recommended that Jumia Uganda intensify its investment in localized, culturally relevant, and datadriven social media campaigns.

Background Prostate cancer is the leading cause of cancer related deaths and one of the mostly diagnosed cancers among men cancer in Sub Saharan African countries including Uganda. Despite the high burden and aggressive nature of prostate cancer in men, there is limited data on the staining intensity patterns of crucial biomarkers such as Foxp3 and p53 in this population including Ugandan prostate cancer patients. Therefore, this study intended to determine the staining intensity of Foxp3 and p53 among archived prostate cancer tissue blocks from the Uganda Cancer Institute bio repository. Methodology Among one hundred twenty seven prostate cancer blocks that had earlier diagnosed, we managed to obtain some demographic data such as age and a few with PSA results. We stained the tissue sections with Foxp3 and p53 antibodies using immunohistochemistry and examined microscopically Results Our median age was 72 with an interquartile range of 65-78 years, participants with PSA values were high with >20ng/ml. Foxp3 was absent in most of the prostate tissue sections and a few showed a staining intensity 12% as strong, 6.0% moderate staining intensity and 82% didn’t show a staining intensity while p53 staining intensity was abundant with moderate (61%), strongly (24%) and least being weakly stained intensity with 15%. Conclusion Low or absent of Foxp3 staining intensity was associated with aggressiveness of the disease and presence of p53 different staining intensity levels were attributed to p53 mutations as a disease progresses.

Background
Prostate cancer is the leading cause of cancer related deaths and one of the mostly diagnosed cancers among men cancer in Sub Saharan African countries including Uganda. Despite the high burden and aggressive nature of prostate cancer in men, there is limited data on the staining intensity patterns of crucial biomarkers such as Foxp3 and p53 in this population including Ugandan prostate cancer patients. Therefore, this study intended to determine the staining intensity of Foxp3 and p53 among archived prostate cancer tissue blocks from the Uganda Cancer Institute bio repository.
Methodology
Among one hundred twenty seven prostate cancer blocks that had earlier diagnosed, we managed to obtain some demographic data such as age and a few with PSA results. We stained the tissue sections with Foxp3 and p53 antibodies using immunohistochemistry and examined microscopically
Results
Our median age was 72 with an interquartile range of 65-78 years, participants with PSA values were high with &gt;20ng/ml. Foxp3 was absent in most of the prostate tissue sections and a few showed a staining intensity 12% as strong, 6.0% moderate staining intensity and 82% didn’t show a staining intensity while p53 staining intensity was abundant with moderate (61%), strongly (24%) and least being weakly stained intensity with 15%.
Conclusion
Low or absent of Foxp3 staining intensity was associated with aggressiveness of the disease and presence of p53
different staining intensity levels were attributed to p53 mutations as a disease progresses.

This study examined the relationship between supplier quality assurance (SQA) and business performance at Aramex Company Ltd Uganda. As the logistics industry in Uganda grows rapidly alongside increasing regional trade volumes and e-commerce penetration, supplier quality has emerged as a critical determinant of service delivery standards and overall business performance. A case study research design was adopted with a quantitative orientation. Using purposive and stratified random sampling, 164 respondents comprising Aramex procurement officers, operations staff, customer service agents, and key supply chain partners were selected. A structured questionnaire with a Cronbach's alpha reliability of 0.861 was used for data collection. Descriptive statistics, Pearson correlation, and multiple regression analysis were employed using SPSS Version 26. The findings revealed significant positive correlations between supplier selection criteria (r = 0.634, p < 0.01), supplier performance monitoring (r = 0.618, p < 0.01), supplier development programmes (r = 0.572, p < 0.01), and business performance. The regression model explained 58.7% of variance in business performance (Adjusted R² = 0.571). Supplier selection criteria emerged as the strongest predictor (β = 0.344, p < 0.001). The study concludes that SQA is a critical driver of Aramex Uganda's business performance and recommends strengthening supplier evaluation frameworks, continuous performance monitoring, and structured supplier development programmes.

This study examined the relationship between supply chain management (SCM) practices and operational efficiency in logistics companies, with specific reference to DHL Uganda. The research was guided by three objectives: to assess the effect of inventory management on operational efficiency, to evaluate the influence of supplier relationship management on operational efficiency, and to examine the role of information technology integration in enhancing operational efficiency at DHL Uganda. A cross-sectional survey design was employed, and data were collected from 178 respondents comprising supply chain officers, operations managers, warehouse staff, and IT personnel at DHL Uganda. Results of descriptive analysis indicated moderate-to-high levels of SCM practice implementation across inventory management (mean = 3.78, SD = 0.71), supplier relationship management (mean = 3.52, SD = 0.84), and IT integration (mean = 4.01, SD = 0.66). Pearson correlation analysis confirmed significant positive relationships between all SCM variables and operational efficiency. Multiple regression analysis revealed that the three SCM dimensions collectively accounted for 74.2% of variance in operational efficiency (R² = 0.742), with IT integration as the strongest predictor (β = 0.389). The study concludes that robust SCM practices are critical to operational excellence in logistics and recommends enhanced IT infrastructure investment, supplier partnership development, and real-time inventory management systems.

This study examined the relationship between tax administration practices and tax revenue performance at Kampala City Council Authority (KCCA) in Uganda. The study was guided by objectives to assess the effect of taxpayer registration systems on revenue collection, to examine the influence of tax enforcement mechanisms on compliance and revenue performance, and to determine the relationship between tax education and taxpayer compliance. A correlational and descriptive research design was employed. A sample of 180 respondents comprising KCCA tax administrators, registered taxpayers, and tax professionals was selected from a target population of 380.
Questionnaires and interview guides were used for data collection. Data were analyzed using descriptive statistics, Pearson&#039;s correlation, and multiple linear regression using SPSS Version 26. Findings indicate that taxpayer registration (β=0.398, p