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This study investigates whether Strategic Communication Competence (SCC) predicts Organizational Performance (OP) among employees of Mbeya City Council (MCC), a Tanzanian local government authority, and whether Financial Resource Management (FRM) independently predicts OP and moderates the SCC–OP relationship. Grounded in Communication Accommodation Theory and the Resource-Based View, a structured questionnaire was administered to 501 MCC employees, of whom 471 provided valid and fully completed responses, yielding a 94.0% response rate. The data were analyzed using Partial Least Squares Structural Equation Modelling. The findings indicate that SCC emerged as the strongest predictor of OP, while FRM also significantly and independently predicted OP (β = 0.243, p < .001). However, FRM did not significantly moderate the SCC–OP relationship, suggesting that, within Mbeya City Council, the two capabilities function as parallel and independently associated predictors of organizational performance rather than as interacting capabilities. Collectively, SCC and FRM explained 58.3% of the variance in OP, while the measurement model demonstrated sound reliability and validity. Given the cross-sectional and single-site design, these findings should be interpreted as evidence of significant associations and predictive relationships rather than causal effects. Based on these findings, recommendations are offered primarily for MCC and, more cautiously, for similarly structured Tanzanian local government authorities pending multi-site replication. In particular, MCC should prioritize strategic communication capability-building through feedback systems, information-sharing routines, and communication training, given SCC’s comparatively greater contribution to the explained variance in organizational performance. At the same time, financial resource governance should be maintained as an independently justified budgetary priority rather than being contingent upon communication outcomes.

This study examines the effects of disaggregated corporate social responsibility (CSR) practices on the economic wellbeing of host communities in Tanzania’s mining sector. Drawing on stakeholder theory, the study adopts a quantitative cross-sectional design using primary survey data collected from 393 respondents in three gold-mining regions - Geita, Mara, and Kagera, with 332 valid responses analysed using SmartPLS 4. The analysis focuses on the effects of economic, legal, ethical, and philanthropic CSR practices on community-level economic outcomes. The findings indicate that ethical, legal, and philanthropic CSR practices have positive and statistically significant effects on economic wellbeing, while economic CSR practices are not statistically significant. These findings suggest that while legal CSR practices contribute positively to economic wellbeing, their influence remains relatively modest, indicating that compliance-based interventions alone may not generate substantial household-level improvements. In contrast, responsible business conduct and community-oriented investments appear to exert a stronger and more direct influence on local development outcomes. The study contributes to the literature by providing empirical support for disaggregating CSR into distinct dimensions when assessing development outcomes in extractive industries and highlights the need to move beyond aggregate CSR measures toward more differentiated and context-sensitive analyses. From a policy and practice perspective, the findings underscore the importance of aligning CSR initiatives with community priorities and strengthening implementation frameworks to enhance their developmental impact in resource-dependent economies.

This paper searches the impact of trade credit on firms’ performance in 15 sub-Saharan African (SSA) countries. In particular, we also examine whether trade credit can advance in an environment of higher financial inclusion rate. We achieve this by using a fixed effect estimation model and solving endogeneity by GMM and IV-2SLS methods by utilizing firm level data from the Bloomberg terminal from 2010 to 2023. Baseline results summarize that firm performance grows with the level of trade credit finance. We find a firm’s industry and SSA blocs heterogeneity the trade credit-firm performance nexus. Additionally, financial inclusion alone is positive and when interacted with trade credit it becomes significant. The major implication among others is that trade credit facilitates more firm performance in a situation of higher financial inclusion level.

This paper uses primary data from a large-scale cross-sectional study to provide evidence on how the concept of development is defined, conceptualised, configured and operationalised so as to achieve the intended IDF project outcomes. Theoretical constructs and measures were developed drawing from both Activity theory and Distributed Leadership Theory to help understand the concept of development from the interactions of multiple actors at local, national, regional and even global within integrated transboundary landscapes and seascape. Findings indicate that in addition to development to be perceived by global actors as international development, local community define development from its contribution towards achievement of other multiple outcomes and bring scalable impacts to people, nature and economy. National government they define development from its contribution towards increased Growth Domestic Product (GDP) and Per Capital Income. Regional platforms defined development from its role it plays within transboundary landscapes and seascapes as development corridors. We use GDP as benchmarking for growth and the square multiple correlations to assess the integrated transboundary approaches as predictors of IDF outcomes. Following statistical analysis with support of structural equation model (SEM), the review of the square multiple correlations indicated that the predictors of IDF explain 9.8 percent of its variance. In other words, the error variance of IDF is approximately 90.2 percent of the variance of IDF itself. The study policy and practical implications of the measures on equality, equity, fairness, inclusivity, inequities, rights and responsibility and limitations for future studies are discussed. Practically, it confirms that, when integrated transboundary approaches are used as specified distributed practices or collective practices, they are significant for framing and increasing the descriptive, discursive and explanatory power of the concept of development when defining, conceptualising, configuring and operationalising IDF activities within integrated transboundary landscapes and seascape.

The research investigated the degree to which client appraisal relate to financial sustainability among Microfinance Institutions in Tanzania. Grounded on Resource Based View Theory, the study employed an explanatory research design whereby data was collected from a sample of 291 microfinance institutions from Dodoma, Iringa and Shinyanga regions. Semi-structured questionnaire in form of 5-point Likert scale was used to collect data which were analysed through inferential method. Research findings revealed that credit terms negatively influenced financial sustainability, whereas integration capabilities significantly and positively affected financial sustainability. Research findings further revealed that introduction of dynamic capabilities into the structural model improved the coefficient of determination (R²) value from 0.150 to 0.218, confirming their moderating role. Specifically, integration capability amplified the positive impact of internal control (IIC → SI, β = 0.157, p = 0.006), while sensing and learning did not significantly alter base relationships.  Moreover, the research findings indicated that R² of 0.218 (adjusted R² = 0.175) accounted for approximately 22 percent of the variance in financial sustainability, reflecting the combined influence of loan delinquency strategies and dynamic capabilities.  The study concludes that financial sustainability of MFIs in Tanzania depended not only on internal management practices, but also on external environmental conditions and institutional maturity, thereby necessitating multi-level policy interventions. The study recommends that MFIs in Tanzania adopt context-sensitive credit policies, such as granting of grace periods or seasonal repayment structures, especially for clients in agriculture and informal sectors. Also, strengthening learning systems including provision of staff training, knowledge sharing, and performance reflection could complement integration capabilities to boost long-term sustainability. Finally, MFIs should adopt adaptive management frameworks that combine governance, data analytics, and collaborative networks to manage delinquency dynamics.

Leadership communication is one of the essential features of leadership that influence leadership credibility and employee trust in the workplace especially in multilingual workplaces. Despite leadership communication being discussed widely in the literature of organizational leadership, language of leadership, its impact on leadership credibility and trust has not been explored fully in the literature in African higher learning institutions. This study explores the impact of language of leadership on employees’ perception of leadership credibility and workplace trust in multilingual higher learning institutions in Tanzania. The study focuses on linguistic accommodation and how it enhances leaders-employees engagement. This study was done in one selected public higher learning institutions in Tanzania. The study adopts qualitative multiple case study design based on Communication Accommodation Theory and Organizational Trust Theory. The study collected data through semi-structured interviews and document analysis. A total of 90 participants were selected from College of Business Education (CBE), Tanzania Institute of Accountancy (TIA) and Dar es Salaam Institute of Technology (DIT). The data was analyzed using thematic analysis. The findings reveal that (i) the exclusive use of highly formal English in leadership communication reinforces institutional hierarchy and creates relational distance between leaders and employees; (ii) linguistically accommodative practices such as the use of Kiswahili, code-switching, and simplified explanations enhance leadership credibility and relational accessibility; and finally (iii) language clarity and transparency significantly strengthen workplace trust by reducing uncertainty and improving employees’ understanding of leadership decisions. Therefore, this study contributes to the organizational communication on leadership credibility and workplace trust that are communicatively achieved through the use of language in organizations especially in the context of multilingual settings.

This research examines the factors that influence the adoption of the ID badge-wearing policy and the subsequent use of ID badges in public offices at Dar es Salaam referral hospitals. The study also evaluates the impact of the badge policy on workplace efficiency and compliance, and analyses the perceived benefits and challenges associated with its implementation. Data was collected through interviews with employees. The study population comprised 800 public servants from various departments and roles at Dar-es-Salaam referral hospitals: Mwananyamala, Temeke, Amana, and Ubungo District Hospitals. Using simple random sampling, participants were selected from a comprehensive list of employees, ensuring everyone had an equal chance of selection. A final sample size of 260 public servants was chosen, representing approximately 33% of the population, to ensure reliable and generalizable results. ID badges policy received initial organizational-wide adoption and was driven by their perceived role in enhancing security and professionalism. Badges were found useful for quick identification of staff and for restricting unauthorized access to sensitive areas. However, they had minimal impact on routine tasks. Compliance was linked to accountability and professionalism, but without strong management support, adherence varied. Key barriers included: delays in replacing lost or damaged badges, lack of regular enforcement by supervisors, and dissatisfaction with the design and practicality of the badges. The findings indicate that while badges contribute to security by restricting access to sensitive areas and enhancing quick identification, their influence on day-to-day operations is minimal, as other performance support factors are required as well to influence change, such as employees’ buy-in, continuous monitoring, and feedback. Recommendations to improve adherence include modernizing the badge design, reducing replacement delays, integrating digital badges, providing regular reminders, and offering incentives for consistent use.

This study was deliberately designed to empirically examine how Artificial Intelligence (AI) enhances supply chain performance within Tanzanian brewery companies, addressing a critical gap between global theoretical potential and local practical realities. Using a mixed-methods, embedded single-case study approach, data were collected from 86 participants at Tanzania Breweries Limited (TBL) through questionnaires, semi-structured interviews, and focus group discussions. The findings revealed a fragmented yet influential adoption landscape, where tools like predictive analytics and machine learning significantly boosted service quality and certain efficiency measures; however, these benefits were notably limited by organizational resistance, weak data governance, and major external infrastructural barriers. As an original contribution, this study offers fresh, context-specific insights into the socio-technical dynamics of AI adoption in a lesser-studied Tanzanian industrial setting. Practically, managers are urged to prioritize core investments in change management and data integrity, while socially, effective integration can promote market stability and skills growth, contributing to wider socioeconomic progress. In conclusion, the study emphasizes that AI’s transformative promise is not assured by technology alone but depends on strong internal capacity and a supportive external environment. A noted limitation is the single-case focus, which may restrict generalization across other industries. Therefore, it is recommended that firms adopt a phased implementation strategy grounded in solid data governance and pilot projects, while fostering public-private partnerships to address the broader external challenges slowing digital transformation.

This review provides a comprehensive, step-by-step guide to the application of partial least squares structural equation modeling (PLS-SEM) for novice researchers. This is a conceptual and literature-based review that focuses on best practices and PLS-SEM literature. It highlights the rationale for using PLS-SEM, sample size, software tools, and essential metrics in PLS-SEM analysis. Drawing on best practices and recent literature, the review offers a framework for conducting and reporting PLS-SEM analysis. The review presents essential such as outer loadings, Cronbach’s alpha coefficients, average variance extracted (AVE), composite reliability, cross-loadings, Heterotrait-Monotrait ratio of correlations (HTMT), the Fornell-Larcker criterion, variance inflation factor (VIF), and redundancy analysis. Moreover, for more consistent results, the paper emphasizes on researchers to employ 10,000 bootstrap subsamples and Bias-corrected and accelerated (BCa) bootstrap in assessing the structural model. Insights regarding path coefficients, p-values, R-square (R2), f-square (f2), and Q-square (Q2),  are also presented. Furthermore, the review underscores the trade-off between predictive power and model fit when applying PLS-SEM. The presented practical insights alert novice researchers in avoiding common pitfalls and enhance the methodological rigor of empirical research that utilizes PLS-SEM. This step-by-step guide supports early-career researchers and contributes to the ongoing debates on improving methodological clarity and transparency.

This research examines the critical role of supplier collaboration in advancing sustainable procurement practices within Temeke District’s Blue Economy a coastal zone in Tanzania where marine resources underpin livelihoods yet face escalating environmental pressures. Despite national policies promoting sustainable ocean governance, implementation gaps persist due to fragmented regulations, power imbalances, and the marginalization of informal suppliers. This study addresses an underexplored link: how collaborative relationships between buyers and suppliers enable or constrain sustainability outcomes in complex, resource-dependent contexts. Adopting a mixed methods approach, the research engaged diverse stakeholders across public, private, and community spheres. Findings reveal that transactional procurement paradigms dominate, stifling innovation and ecological stewardship. Trust deficits and restrictive contractual frameworks inhibit meaningful partnerships, while pervasive informality excludes suppliers with invaluable place-based knowledge. Nevertheless, intermediary actors, such as NGOs and community leaders emerge as vital bridges, fostering adaptive solutions through locally embedded dialogue. The study identifies key barriers, including conflicting sectoral policies, financial exclusion, and gendered occupational segregation, which limit inclusive participation. Conversely, enablers like co-designed "Sustainability Compacts" and intergenerational knowledge exchange offer pathways for reform. Recommendations prioritize integrated governance, supplier empowerment funds, and gender-responsive platforms to reconfigure collaboration as a catalyst for equity and resilience. By centering Temeke’s socio-ecological realities, this research contributes a framework for transforming procurement from a compliance exercise into a regenerative force. It argues that effective Blue Economy transitions require redistributing agency to frontline suppliers not as contractors, but as custodians of coastal futures.

This study investigates the impact of rising fuel prices on the transportation of agricultural crops in Iringa District, Tanzania from 2021 to 2023. It examines how fuel price fluctuations have influenced transportation costs, market accessibility, and overall agricultural productivity. Using a mixed-methods approach, data were collected from smallholder farmers, transporters, and market traders through surveys and interviews. The findings indicate that the continuous increase in fuel prices has significantly escalated transportation costs, limiting farmers’ access to distant markets and reducing their profit margins Additionally, higher transportation expenses have contributed to increased food prices, negatively affecting consumers and overall market efficiency. The study further highlights challenges such as supply chain disruptions, decreased competitiveness of local agricultural products, and financial constraints for transport service providers. To mitigate these impacts, policy recommendations include the introduction of targeted fuel subsidies, investment in alternative transportation solutions improvements in rural infrastructure, and strengthening agricultural market linkages. Implementing these measures could help stabilize transportation costs, enhance market access, and support the resilience of smallholder farmers in Iringa District, Tanzania.

This study investigates the relationship between financial literacy and financial well-being among youth entrepreneurs in Tanzania, focusing on the mediating role of financial behaviour. Drawing on human capital theory and behavioural economics, this study employed a cross-sectional design and collected data from a sample of youth entrepreneurs using structured questionnaires in selected urban areas in Tanzania. Data were analysed using Structural Equation Modelling (SEM) to assess both direct and indirect relationships among the variables. The findings reveal that financial literacy significantly and positively affects financial well-being, underscoring the foundational role of financial knowledge in enhancing economic decision making. Furthermore, financial literacy significantly influenced financial behaviour, and financial behaviour partially mediated the relationship between financial literacy and financial well-being. These results suggest that while financial knowledge is critical, it is the consistent application of this knowledge through daily financial practices, such as budgeting, saving, and debt management that ultimately leads to improved financial outcomes. This study contributes to the growing literature on financial capability and entrepreneurial sustainability in developing economies and supports the advancement of Sustainable Development Goals, particularly SDG 1, SDG 4.4, and SDG 8. These findings have important implications for policymakers, educators, and development partners aiming to enhance youth financial empowerment through integrated financial education and behaviour-focused intervention.

The study examined financial retirement planning of government employees in Tanzania: Moderating effect of financial decision behavior. The study applied a cross-sectional survey strategy, positivist paradigm and deductive approach. The study collected quantitative data through questionnaire from government employees working in different ministries within Dodoma region in Tanzania. The study examined whether the moderator moderates the relationship between independent variables (computation capability, financial knowledge, financial education and risk attitude towards financial products) and dependent variable (retirement planning). Data analysis was through Smart PLS-SEM path modelling. The study findings were that financial decision behavior had statistically significant positive moderating effect (p=0.013) on retirement planning. Moderating effect of financial decision behavior on the relationship between risk altitude towards financial products and retirement planning found to be a theoretical contribution of this study as it supports behavioral finance advocates who asserts that the theory of expected utility is an incomplete model since it lacks individual behavioral aspects. This study has incorporating a moderating variable financial decision behavior borrowed from the theory of planned behavior, which has indicated a significant moderating effect that has widened the explanatory power of the theory. This study offers pertinent insights for policy makers concerns on reviewing policy guidelines by government regulators and professional bodies, to advocate for employee’s savings and investment behavior, employees access to a range of financial products, regular training on financial products available in the financial market for better investment decision. Lastly, practitioners and academia can use the results of this study for future references.

This study explores the factors influencing youth entrepreneurs in Tanzania to adopt crowdlending as an alternative source of finance and the challenges they encounter in the process. Using a qualitative case study approach, interviews were conducted with 15 young entrepreneurs who successfully accessed loans through a crowdlending platform. Thematic analysis was conducted through transcription, coding, and theme development processes. The findings indicate that financial necessity and limited access to traditional banking were the primary motivators for adopting crowdlending. However, the study also found that entrepreneurs often have a limited understanding of the crowdfunding process, as many access the platform through intermediaries. Additionally, the study identifies high interest rates and transaction costs imposed by financial intermediaries as major barriers to the perceived benefits of crowdlending. The findings underscore the importance of tailored financial literacy initiatives, user-centred platform design, and policy frameworks to unlock crowdlending’s potential for inclusive youth entrepreneurship in Tanzania. 

The implementation of Good Agricultural Practices (GAPs) in developing countries, particularly Tanzania, requires strong government intervention to achieve sustainable agricultural outcomes in line with both national and international standards. Given the high costs and institutional demands associated with GAP implementation, the central–local government interface plays a critical role in facilitating, coordinating, and overseeing this process. This formal interface comprises key dimensions, including the transfer of authority, interaction channels, adherence to existing legislation, and resource-sharing mechanisms. However, limited understanding of how these institutional arrangements influence the effective implementation of GAPs has contributed to persistent inconsistencies and inefficiencies. This study investigated the extent to which Tanzania’s formal central–local government interactions affect GAP implementation. A total of 228 respondents were surveyed across Local Government Authorities in the Morogoro, Mbeya, and Shinyanga regions, and data were analysed using multiple linear regression. The results demonstrate that the transfer of authority (? = 0.124, p < 0.05), interaction channels (? = 0.540, p < 0.001), and resource-sharing mechanisms (? = 0.134, p < 0.001) significantly influence the implementation of GAPs. In contrast, adherence to existing laws and regulations showed no statistically significant effect (? = 0.018, p = 0.587). These findings underscore the importance of decentralised authority, effective intergovernmental communication, and coordinated resource allocation in strengthening agricultural governance. The study recommends more targeted policy reforms that empower local governments and foster institutional synergy to enhance GAP implementation, thereby contributing to Tanzania’s agricultural transformation and broader development objectives. It is therefore, the study reinforce the need for integrated governance as a pathway to achieving agricultural modernisation and food security goals in line with SDG 2.

This study investigates the complex impact of automation on Human Resource Management (HRM), focusing on areas such as job security, employee rights and welfare, collective bargaining, policy and regulatory responses, trade unions, and worker skills and training. The research aims to understand how automation influences these aspects and to provide insights for organizations crossing this technological shift. Employing a mixed-methods approach, the study combines quantitative data analysis with qualitative interviews. Quantitative data were gathered through structured surveys distributed to employees across various industries, capturing perceptions and experiences related to automation in HRM. Qualitative insights were obtained from in-depth interviews with HR managers, trade union representatives, and employees, offering a comprehensive understanding of the significant effects of automation. The findings reveal that automation has led to significant changes in job security, with 45.2% of respondents reporting alterations due to automated processes. Additionally, 50.0% of participants noted impacts on employee rights, including work hours, leave, and pay structures. Trade unions have been compelled to adapt their strategies, with 11.0% acknowledging a role in addressing automation-driven challenges. Furthermore, 65.1% of employees reported access to training programs aimed at adapting to automation, though the effectiveness of these programs varied.The study concludes that while automation offers efficiency gains, it also presents challenges related to job security, employee rights, and the evolving role of trade unions. Organizations are encouraged to implement strategic workforce planning, invest in effective training programs, and engage in dialogue with trade unions to alleviate negative impacts.

This study aimed to examine the correlation between health-risk behaviour patterns, health lifestyle practices, and self-monitoring and care, in connection to the increasing costs of health insurance premiums. The research utilised a cross-sectional design and applied Linear Regression via SPSS software to analyse data collected from 385 public servants and college students in Mwanza, constituting 68.84% of the NHIF membership share. The analysis reveals that hazardous behaviours, including Alcohol Consumption (AC), Tobacco Use (TU), and Exposure to Harmful Chemicals (ETHC), are directly correlated with an increase in insurance costs. Nonetheless, the use of painkillers is unwarrantedly associated with the development of non-communicable diseases. Healthy lifestyle practices, including the consumption of processed foods (PFC), adherence to a balanced diet (UBD), and participation in physical activity (PA), are positively correlated with the likelihood of acquiring non-communicable diseases (NCD). In the near term, patients undergoing regular medical checks (MCP) exhibited elevated medical expenses. Ultimately, they decreased long-term medical costs by mitigating the likelihood of an individual developing non-communicable diseases (NCDs). The study emphasises policy recommendations aimed at reducing the likelihood of non-communicable disease (NCD) development and enhancing the financial stability of health insurance schemes in Tanzania. These include the creation of media and electronic campaigns to inform both members and non-members about effective strategies to prevent NCDs, the establishment of incentive packages to encourage members to cease or abandon risky behaviours, the provision of discounted premium pricing, the offering of mental health counselling and therapy programs, and the development or acquisition of health-related applications to modify member behaviour.

Corporate Social Responsibility (CSR) practices of privately owned mining companies have been argued to create benefits to communities’ wellbeing in areas of their operation. However, little is known on the CSR of partly owned government mining companies. Therefore, this paper ought to: examined the contribution of CSR practices of the North Mara Gold Mine in Tanzania to the wellbeing of communities living around the mine. Specifically, it examined and compared levels of household wellbeing before and after the implementation of CSR practices. The study used cross sectional research design and involved 358 households which were selected using systematic random sampling method. The wellbeing index was used to measure levels of wellbeing. Besides, the Wilcoxon Signed Rank Test was used to compare wellbeing levels before and after the implementation of the CSR practices. The results revealed that the CSR practices of the North Mara Gold Mine company enabled people to own improved quality housing and valuable assets. Also, the household wellbeing index score was significantly higher after the implementation of the CSR practices. There was a significant difference in wellbeing levels (p<0.001) before and after the implementation of CSR practices. It is recommended that CSR plans to be integrated into company business operations and carefully monitored, evaluated and strictly audited regularly for effective community development.

This study examines the role of training and development in enhancing work engagement and service quality in rural public health facilities in Tanzania. Grounded in Social Exchange Theory, Job Demands-Resources Theory, and the SERVQUAL model, the study adopts a positivist paradigm, a deductive approach, and a cross-sectional survey design. Data were collected from 285 respondents across 63 health centers and dispensaries using self-administered questionnaires. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed for data analysis. The findings reveal that training and development significantly enhance work engagement, which in turn positively influences service quality. Furthermore, work engagement partially mediates the relationship between training and development and service quality, highlighting its pivotal role in translating employee development initiatives into improved service outcomes. These results underscore the importance of investing in training and development programs to foster employee work engagement and enhance service quality in rural health facilities. The study provides valuable insights for policymakers and healthcare administrators aiming to improve healthcare delivery in resource-constrained settings.

This study investigates the effects of revenue enhancement plans (REPs) on revenue collection performance in Tanzanian local government authorities (LGAs), focusing on Mwanza City Council, Manyara Urban Council, and Mbeya City Council. The research adopts a mixed approach, collecting data from 400 respondents using a multistage sampling technique. The data were analyzed using a multivariate ordered probit model. The results reveal that reducing revenue leakage and improving revenue forecasting accuracy significantly enhance revenue collection performance. Specifically, the coefficient for revenue leakage was -1.221 for effectiveness (p<0.01) and -1.59 for increment (p<0.01), indicating a strong negative impact on performance. In contrast, accurate revenue forecasting positively impacted effectiveness (1.390, p<0.01) and increment (0.516, p<0.01). The model also showed that high implementation costs negatively impacted revenue growth (increment: -1.634, p<0.05). Compliance was found to positively influence reliability (1.533, p<0.01) and efficiency (1.029, p<0.01), underlining the importance of adherence to regulations. The results also highlighted the need for cost management strategies, as implementation costs and leakages hinder revenue growth and efficiency. The study recommends policy measures such as adopting digital solutions to reduce revenue leakages, investing in forecasting tools, and strengthening compliance mechanisms to optimize revenue collection and improve financial sustainability.