http://dspace.iaa.ac.tz:8080/xmlui/handle/123456789/1832 2026-04-16T23:58:02Z 2026-04-16T23:58:02Z MWACHA, Josephine Mziray, Laurent http://dspace.iaa.ac.tz:8080/xmlui/handle/123456789/2790 2025-10-15T10:23:49Z 2024-01-01T00:00:00Z

Analysing The Influence Of Alternative Delivery Channels On Customer Satisfaction In The Banking Sector: A Case Of Exim Bank Arusha. MWACHA, Josephine; Mziray, Laurent This study aims to analyze the influence of alternative delivery channels on customer satisfaction at Exim Bank Arusha, addressing the knowledge gap in understanding how digital banking innovations impact customer experiences in Tanzania. Despite extensive global research on digital banking, there is limited empirical evidence specific to Tanzanian banks. The study employs a mixed-methods approach, combining quantitative data from a sample of 80 customers through questionnaires with qualitative insights gathered from employee interviews. The research design includes a detailed examination of customer preferences, satisfaction levels, and challenges faced with alternative delivery channels, such as online and mobile banking. Data analysis involves statistical techniques for quantitative data and thematic analysis for qualitative insights. The study concludes that while alternative delivery channels are widely adopted and valued for their convenience, challenges such as technical issues and security concerns significantly impact customer satisfaction. Recommendations include enhancing technical reliability, strengthening security measures, expanding digital literacy initiatives, and improving customer support. The findings provide actionable insights for Exim Bank Arusha to refine its digital services and address the specific needs of its customer base.

2024-01-01T00:00:00Z CHONJO, Nickson . J MAGABULA, Zablon http://dspace.iaa.ac.tz:8080/xmlui/handle/123456789/2661 2024-08-09T06:23:29Z 2023-01-01T00:00:00Z

The Conribution of Foreign Direct Investment on Agricultral Productivity in Developing Economics CHONJO, Nickson . J; MAGABULA, Zablon he ;111(IY, siTirmin(t from .1W)0 to 2022, scrutinized the impact of Foreign Direct Investment (FD1) on agriculture productivity in Tanzania. Employing time series data and a sample of 33 observations, the research aimed to dissect both short-run dynamics and the enduring relationship between FD1 and agriculture productivity. Preliminary analyses ensured data integrity, confirming normal distribution post-descriptive statistics and stationary variables through the ADF unit root test. The ARDL bound test demonstrated a long-run equilibrium between variables. Noteworthy findings unveiled a positive, significant relationship between FDI inflows and agriculture value added, suggesting a 1-unit surge in FDI leads to a 0.701-unit spike in agriculture productivity in the long run. The overall model, statistically significant with a low probability of F-statistic (0.0000), boasted high predictive power (adjusted R-squared at 74.4%). The ECM results, with a significant negative sign, confirmed co-integration, indicating a 0.66 percent correction in deviations from long-term growth in agriculture value added within the following year. Granger causality tests underscored a b•-directional causalrelationship between FDI and agriculture in Tanzania, suggesting a reciprocal influence. This comprehensive study contributes valuable insights into the nuanced dynamics of FDI's impact on Tanzania's agriculture sector. The study recommends that, Policymakers should implement strategies to create an investment-friendly environment, offering incentives and removing barriers to encourage sustained FD em I inflo Supervisor.. LASWAI [CPA], Richard B

2023-01-01T00:00:00Z Kamwaga, Demwa ,P http://dspace.iaa.ac.tz:8080/xmlui/handle/123456789/2384 2024-02-05T08:14:20Z 2023-01-01T00:00:00Z

Assessing the Effectiveness of Property Tax Reforms on Tax Revenue Kamwaga, Demwa ,P vi ABSTRACT This study intended to assess the effectiveness of property tax reforms in Tax revenue in Tanzania. Where the specific objectives were to assess relationship taxa base of property tax and tax revenue, second to assess relationship between property tax rate and tax revenue in Tanzania and the third was to assess the relationship between registered property tax payers and tax revenue in Tanzania. The study used secondary data from TRA and BOT whereby the time series econometric approach based on ordinary least square (OLS) was used for estimation of the results. Diagnostic test also employed in order to make the variables free from problems associated with the time series. Moreover, quantitative technique was used with the help of E-VIEW and Excel in analyzing data. The analysis was guided by research objectives. The study employed Johansen co-integration test to examine the relationship between the property tax and tax revenue, Vector Error Correction Model (VECM) to check for short-run relationship among the variables and simple linear regression model to check the relationship.The study found that there is positive and significant relationship (5%) 0 between property tax and tax revenue that is increase in tax base, tax rate and number of tax payers will improve the tax revenue and when the tax property decrease also leads to decline of tax revenue. The study recommended that the government should control for tax rate depending on the income of taxpayers so as maintain and increase the number of taxpayers this is through making a favorable tax rate at all tax payer. There should be continuous review on tax property in Tanzania tax system to reflect the current realities of the modern economy since tax property was found to have significant effect on tax revenue. Keywords: tax revenue, property tax (tax rate, tax base and number of registered tax payers) Supervisor: Sila, Chalicha, CPA

2023-01-01T00:00:00Z GOTORA, Chacha http://dspace.iaa.ac.tz:8080/xmlui/handle/123456789/2359 2024-02-02T10:24:51Z 0002-01-01T00:00:00Z

The Influence of Information Communication and Technology (ICT) Utilization on Customers’ Satisfaction Of The Tanzania Revenue Authority GOTORA, Chacha This study investigates the impact of Information Communication Technologies (ICT) on customer satisfaction within the Tanzania Revenue Authority (TRA). It sets three specific objectives: to determine the scope of services and products offered by TRA through ICT, assess customer satisfaction with these services, and explore challenges faced by taxpayers in using ICT at TRA. The study employs the Technology Acceptance Model (TAM) and the Service Quality Model to understand how ease of use, perceived usefulness, and service quality influence taxpayer satisfaction with ICT. Data collection is carried out at the TRA Rukwa Region Office, focusing on quantitative methods with a cross-sectional and case study design. The study population includes companies and individual taxpayers under self assessment in the Rukwa Tax region. A sample of 215 taxpayers is chosen through random sampling. Data is collected through questionnaires and supplemented with secondary data from revenue reports. A pilot study ensures data instrument quality. Data analysis involves descriptive statistics and concludes with recommendations for the TRA. The findings highlight diverse opinions regarding TRA's ICT services, suggesting a need for tailored communication strategies. Customer satisfaction levels vary, emphasizing the multifaceted nature of satisfaction, while challenges faced by taxpayers underscore the importance of improving user-friendliness and reliability. The study provides valuable insights for TRA's future strategies and suggests the need for qualitative research to understand the factors affecting perceptions and guide improvements. The study recommends key actions to enhance ICT use and boost customer satisfaction at the Tanzania Revenue Authority (TRA). Implementing these recommendations will enhance ICT service effectiveness and customer satisfaction at TRA by customizing communication strategies, addressing diverse needs, resolving common challenges, conducting qualitative research, and continually seeking improvement. Supervisor:LULU,Laurent.L

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