Browsing by Author "Komwaka, Vastine Twinamatsiko"

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    eCitie Revenue Management System at Kampala Capital City Authority
    (Makerere University Business School, 2023) Komwaka, Vastine Twinamatsiko
    The study focused on eCitie revenue management system at KCCA. The study study objectives were: to examine the eCitie revenue management system; to assess the challenges associated with eCitie revenue management system and to establish strategies for improving eCitie revenue management system at Kampala Capital City Authority. The study adopted a cross-sectional design and quantitative approach using self-administered questionnaires to collect data from the respondents. Stratified and purposive sampling techniques were used to sample 175 staff. Data was analyzed using the SPSS V23, Means and Standard deviations were computed. The findings revealed that most staff at KCCA were familiar with the eCitie revenue management system and the majority had interacted with it through the execution of their tasks. Similarly, respondents agreed that the system was complying with tax laws. However, respondents were not sure whether eCitie had included most sources of revenues like capturing all businesses and properties in the city. In the same way, respondents were not sure whether the system handle all their tasks. The research findings revealed that indeed there were challenges associated with the ECitie revenue management system. These challenges were ranging from usability and the existence of manual processes which create inefficiency in revenue management. The respondents strongly agreed with the proposed strategies on how to enhance the revenue system. Based on the study findings, the technical team should look for functionalities that can streamline revenue-related tasks, forecasting, pricing optimization, and reporting likewise security of a system is of utmost importance when handling sensitive financial data. Therefore it should be given priority. KCCA should collect data on best practices and invest time in building internal capacity to maintain systems in place.