This study examined the relationship between fishing activities and economic growth at the Kasenyi fish landing site along Lake Victoria, Wakiso District, Uganda. The study aimed to determine the extent of fishing activities, the level of economic growth, and the relationship between the two variables. Using a multiple linear regression analysis, key factors influencing fishing activities and economic growth were identified. The regression model included independent variables such as the number of fishing boats, fishing hours, availability of modern fishing equipment, employment in the fishing sector, and infrastructure development. The results of the regression analysis revealed that the number of fishing boats (β = 0.42, p < 0.01) and fishing hours (β = 0.36, p < 0.05) had a positive and significant effect on the extent of fishing activities at Kasenyi. Furthermore, the availability of modern fishing equipment (β = 0.29, p < 0.05) and infrastructure improvements, including road access (β = 0.33, p < 0.01), were also significant predictors of the level of economic growth in the region. The analysis showed that as fishing activities increased, there was a corresponding rise in income generation, job creation, and overall economic development. The findings emphasized the importance of fishing as a central economic activity for the local community. The study concludes that fishing activities at Kasenyi are strongly associated with economic growth, with several key factors contributing to this relationship. The study recommends investments in modern fishing equipment, sustainable fishing practices, and infrastructure development. Furthermore, creating employment opportunities, promoting skills development, and improving market access are essential for enhancing the economic benefits derived from fishing. Strengthening policy support and fostering community engagement will be crucial for ensuring the long-term success of the fishing sector and its continued contribution to the region's economic development.

This study aimed at exploring the extent of foreign exchange earnings, the level of economic development, and the relationship between these two variables in Kampala District, Uganda. Using multiple linear regression analysis, the study investigated how foreign exchange earnings contribute to economic development in the district. The results indicated a statistically significant positive relationship between foreign exchange earnings and the economic development index. Specifically, the coefficient for foreign exchange earnings was 0.3745 (p-value = 0.000), suggesting that for every unit increase in foreign exchange earnings, the economic development index increased by approximately 0.37 units. The constant term was also statistically significant, with a coefficient of 6.3309 (p-value = 0.000), indicating that other baseline factors contribute to economic development even in the absence of foreign exchange earnings. The study further incorporated variables such as infrastructure quality and investment levels, but these did not show a statistically significant impact on economic development. Infrastructure quality had a coefficient of 0.1860 (p-value = 0.350), and investment levels had a coefficient of 0.0346 (p-value = 0.173), suggesting that while these factors are essential, their direct influence on economic development in Kampala was not as strong as that of foreign exchange earnings. The robustness of the results was confirmed by high t-values, especially for the foreign exchange earnings variable (t = 21.991). The findings support the conclusion that foreign exchange earnings are a critical driver of economic development in Kampala District, Uganda, highlighting the need for policies that support and diversify foreign exchange-generating activities, such as exports, remittances, and tourism. Recommendations were made to enhance foreign exchange sources, improve infrastructure, encourage private sector investment, and foster regional integration to sustain and further accelerate economic development in the district.

This study's goal was to investigate the connections between financial achievement, working capital administration, and managerial proficiency among Kampala-area logistics firms. The study's goals were to ascertain the connections between managerial skills on financial performance of Kampala-based logistics companies. On a population of 45 logistics enterprises operating in Kampala, a cross-sectional research design and quantitative research methodology were utilized. 40 logistic companies were chosen as a sample. A self-administered, structured questionnaire was used to collect primary data, which was then processed using SPSS version 20. Furthermore, the regression analysis demonstrates that managerial competence explains a substantial portion of the variance in financial performance, with an R Square value of 0.885, indicating that nearly 89% of the variability in financial performance can be attributed to the levels of managerial competence within the organization. This suggests that enhancing managerial competence is a key lever for improving financial outcomes in logistics companies. The regression model reveals that for every unit increase in managerial competence, financial performance is expected to increase by 0.697 units, further highlighting the critical role of competent management in achieving superior financial results. The high tstatistic and low p-value for managerial competence confirm that this relationship is statistically significant, reinforcing the conclusion that the competence of managers is an essential determinant of financial success. Given these findings, it is evident that managerial competence should be a primary focus for logistics companies aiming to improve their performance in a competitive market. Further research was recommended in the areas of demonstrating the connection between inventory management and financial performance, handling working capital, and liquidity management among logistics enterprises in Uganda.

This study aimed at assessing the relationship between managerial skills and entrepreneurial performance of small-scale enterprises (SSEs) in Kyengera Town Council, Uganda, focusing on key managerial skills including planning, communication, and technical skills. The study utilized a quantitative approach, with a sample of 120 small-scale enterprises, and data was collected through surveys. Correlation and regression analyses were performed to test the hypotheses and establish the strength of relationships between the managerial skills and the performance of these enterprises. The findings revealed that planning skills had a strong positive and significant relationship with the performance of small-scale enterprises, with a Pearson correlation coefficient of 0.688 (pvalue < 0.05). This suggests that improved planning skills could enhance the entrepreneurial performance of SSEs. Communication skills also showed a significant positive correlation with performance, with a Pearson correlation coefficient of 0.650 (p-value < 0.05), indicating that effective communication directly contributes to better enterprise outcomes. However, technical skills demonstrated a weak positive but statistically insignificant relationship with performance (Pearson correlation coefficient of 0.453, p-value = 0.056), suggesting that technical skills alone were not enough to significantly improve the performance of small-scale enterprises in the region. The regression analysis further supported these findings, showing that planning skills accounted for 47.3% of the variation in entrepreneurial performance. The study concluded that managerial skills, particularly planning and communication skills, are crucial to enhancing the entrepreneurial performance of small-scale enterprises in Kyengera Town Council. Based on these results, the study recommends that small-scale enterprises in Uganda focus on enhancing managerial skills, especially in planning and communication, as a strategy to improve performance and profitability. It is suggested that SMEs invest in training programs aimed at improving these skills for better organizational outcomes.

This study aimed to analyze the effect of performance appraisals on workers' productivity in the public sector, with a specific focus on Mubende District Local Government, Uganda. The research sought to assess the influence of objective-based appraisals, 360-degree appraisals, and numerical rating scales on employee performance. Using a cross-sectional research design, data was collected from 150 employees through structured questionnaires and analyzed using SPSS and STATA. Multiple logistic regression models were employed to examine the relationship between the appraisal systems and workers’ productivity. The regression results revealed that objective-based appraisals had a positive but statistically insignificant effect on workers' productivity, with a correlation coefficient of 0.158 and a p-value of 0.136. Similarly, while 360-degree appraisals showed a significant positive impact (r = 0.532, p < 0.01), numerical rating scales demonstrated moderate effects on productivity, with some biases influencing the outcomes. These findings suggested that while performance appraisal systems are essential for improving productivity, their effectiveness is contingent on proper implementation, transparency, and the involvement of employees in the process. The study affirmed the critical role of performance appraisals in enhancing workers' productivity in the public sector, though challenges such as bias, lack of transparency, and inadequate training of employees and supervisors were identified as significant barriers to the full realization of their potential. The study recommended that Mubende District Local Government enhance the clarity and alignment of objective-based appraisals, promote inclusivity in 360-degree feedback processes, and ensure consistency and transparency in numerical rating scales. Additionally, it was recommended to foster an open feedback culture, reduce job complexity, and mitigate biases in the appraisal system to improve the overall effectiveness of performance evaluations.

This study aimed at assessing the relationship between product quality, supply chain management, and quality control with the competitiveness of SMEs in South Western Uganda. Using multiple linear regression analysis, the research aimed to determine how these three factors influence the ability of SMEs to compete in a challenging market environment. Data were collected from SMEs across the region, and the analysis revealed that all three independent variables product quality, supply chain management, and quality control had a statistically significant positive relationship with the competitiveness of SMEs. The regression results showed that for every one-unit increase in product quality, the competitiveness of SMEs increased by 0.75 units (p < 0.05). Similarly, supply chain management contributed a 0.65-unit increase in competitiveness (p < 0.05), and quality control led to a 0.55-unit increase (p < 0.05). These results were robust, with high t-statistics and statistically significant p-values, indicating that improvements in these areas substantially enhance the competitive standing of SMEs in the region. The study concluded that product quality had the most significant impact on competitiveness, followed by supply chain management and quality control. These findings suggest that SMEs that focus on enhancing product quality, optimizing supply chain management, and strengthening quality control practices are more likely to succeed and thrive in the competitive business environment of South Western Uganda. Based on these conclusions, the study recommends that SMEs invest in product development, streamline their supply chain processes, and implement robust quality control systems. Additionally, strategic partnerships, government support, and policy frameworks are essential to facilitate these improvements and ensure long-term growth and competitiveness. By adopting these strategies, SMEs can enhance their performance and contribute to the economic development of the region.

This study aimed to examine the influence of product quality, packaging, and features on consumer purchasing decisions at Bwendero Co. Ltd. in Hoima District. The research utilized a quantitative approach, collecting data through surveys administered to a sample of consumers. The study applied multiple logistic regression analysis to assess the significance and impact of product quality, packaging, and features on consumer purchase behavior. The results revealed that product quality had the strongest influence on consumer purchasing decisions, with a statistically significant odds ratio (OR = 3.15, p < 0.05), suggesting that higher product quality significantly increased the likelihood of consumers purchasing from Bwendero Co. Ltd. Additionally, product packaging was found to be a significant predictor of purchase behavior (OR = 2.85, p < 0.05), indicating that well-packaged products were more likely to be purchased. Product features, including design, functionality, and innovation, also had a positive effect on purchase decisions (OR = 2.42, p < 0.05), showing that consumers were more likely to purchase products with attractive and innovative features The study concluded that the productrelated factors—quality, packaging, and features played a significant role in shaping consumer purchasing decisions, while demographic factors had less impact on purchase behavior. It was evident that consumers prioritized these attributes when choosing products, highlighting their critical role in driving purchasing behavior. Therefore, Bwendero Co. Ltd. should focus on enhancing product quality, investing in attractive packaging, and incorporating innovative features to improve sales and consumer loyalty. The study recommended that Bwendero Co. Ltd. conduct regular market research to stay aligned with consumer preferences, invest in branding strategies that emphasize quality, and explore sustainable packaging options to appeal to environmentally conscious consumers

This study aimed at assessing the impact of community radio broadcasting on the implementation of government programs and its role in community development, focusing on Top Radio in Kampala, Uganda. Using multiple logistic regression analysis, the study revealed that frequent radio listenership significantly increased participation in government programs, with a 23% higher likelihood of participation among regular listeners. Radio broadcasts were found to positively influence community development, especially in health education (31%) and poverty reduction initiatives. However, challenges such as limited radio access (38% of rural households lacked radio access), poor signal reception, and content relevance were identified as significant barriers. The study concluded that while community radio contributes to public awareness and engagement in government initiatives, these operational obstacles hinder its full potential. Recommendations include expanding radio infrastructure, improving content relevance, fostering government-radio collaborations, and addressing economic barriers to radio access. Strengthening capacity-building efforts for radio stations was also suggested to enhance content quality.

This study explored the relationship between raw material availability and industrialization in Namanve Zone, Mukono District, focusing specifically on Harris International Bottling Company. The study aimed to determine the extent of raw material production, the level of industrial growth, and the relationship between these two factors. Data were collected through surveys administered to industry stakeholders, including local producers of raw materials and representatives from the bottling company. Multiple linear regression analysis was used to evaluate the impact of raw material production on industrial growth, with variables such as raw material availability, infrastructure, investment in technology, and workforce development considered. The results revealed that raw material availability had a significant positive effect on industrial growth (β = 0.45, p < 0.05). Furthermore, infrastructure development and technology adoption were identified as key facilitators of industrial expansion, with significant positive coefficients (β = 0.38, p < 0.01 and β = 0.29, p < 0.01, respectively). The regression also highlighted the importance of workforce training and skill development, which were found to positively influence industrial productivity (β = 0.33, p < 0.01). The study concluded that the interdependence of raw material production, infrastructure, and human capital plays a critical role in fostering industrialization. It was recommended that the government and private sector work together to improve infrastructure, promote sustainable agricultural practices, and invest in workforce development. Additionally, further investment in technology and value-added production processes was suggested to enhance industrial growth in the region.

This study investigated the relationship between teachers' educational qualifications and students' academic performance in selected schools in Semuto Town Council, Nakaseke District, Uganda. The research employed a quantitative approach, utilizing survey questionnaires to collect data from 124 teachers. Descriptive and inferential statistics, including Pearson correlation and multiple regression analysis, were used to analyze the data. The findings revealed a moderate positive correlation (r = 0.668, p = 0.002) between teachers' educational qualifications and students' academic performance, suggesting that as teachers' educational qualifications increased, students' academic performance also improved. The regression analysis indicated that approximately 72.8% of the variance in students' academic performance was explained by teachers' educational qualifications (R² = 0.728), with each unit increase in teachers' educational qualifications corresponding to a 0.141 unit increase in students' academic performance. These results were statistically significant, supporting the hypothesis that higher teacher qualifications positively affect student outcomes. The study further highlighted that while most teachers agreed that advanced qualifications were important for career development and job performance, there was variability in responses, particularly concerning opportunities for pursuing higher education. Based on these findings, the study recommends investing in professional development programs for teachers, addressing barriers to advanced qualifications, and fostering mentorship initiatives. The study also calls for further research to explore the causal mechanisms behind the relationship between teacher qualifications and student performance.