Developing a Mobile App for Micro-Entrepreneurship Financial Management

Thesis Abstract

In the rapidly expanding informal economy, micro-entrepreneurs face significant challenges in maintaining accurate financial records, managing cash flows, and making informed business decisions due to limited access to appropriate financial management tools. These challenges hinder business growth, profitability, and sustainability among small-scale entrepreneurs, especially in developing regions where technological resources are increasingly accessible yet underutilized. This study aims to develop and evaluate a user-friendly mobile application specifically designed to enhance financial management practices among micro-entrepreneurs. The specific objectives include assessing the financial management requirements of micro-entrepreneurs, designing an application tailored to these needs, and evaluating its effectiveness in improving financial literacy and business performance. The research adopts a mixed-methods approach, integrating qualitative and quantitative data collection and analysis. The study population consists of 200 micro-entrepreneurs operating in urban markets within a metropolitan city with high mobile penetration rates. A stratified random sampling technique was employed to select participants to ensure diversity across enterprise types and experience levels. Data collection instruments include semi-structured interviews with 30 entrepreneurs to explore financial practices and needs, and a structured survey administered to the entire sample for quantitative assessment. The survey instrument was validated through expert review and a pilot test, achieving a reliability coefficient (Cronbach’s alpha) of 0.87. The app prototype was developed using user-centered design principles, incorporating features such as expense tracking, income monitoring, financial goal setting, and visual reporting. Data analysis techniques include thematic analysis for qualitative interview data, utilizing NVivo software to identify recurring themes related to financial management challenges and user preferences. Quantitative data from the survey were analyzed through descriptive statistics, and inferential statistics involving multiple regression analysis to evaluate the relationship between app usage and financial management performance, with the application of SPSS software. Additionally, a paired sample t-test was employed to assess pre- and post-intervention financial literacy levels among 50 entrepreneurs who participated in a pilot implementation of the app over a three-month period. Expected findings suggest that micro-entrepreneurs possess considerable gaps in financial literacy and record-keeping, largely due to constraints related to time, knowledge, and access to conventional financial management tools. The developed mobile app is anticipated to significantly improve entrepreneurs' ability to track expenses and income, set and monitor financial goals, and generate actionable reports, leading to enhanced financial decision-making and business performance. The regression analysis is expected to demonstrate a positive and statistically significant correlation between app usage and improved financial management practices, while the paired t-test results are projected to show increased financial literacy post-intervention. This study contributes to the body of knowledge by providing empirical evidence on the effectiveness of tailored mobile solutions for financial management in the small enterprise sector, grounded in behavioral change theories such as the Technology Acceptance Model (TAM) and Financial Literacy Theory. The research also offers a replicable framework for designing, implementing, and evaluating mobile financial tools in similar contexts. The main conclusion underscores that a context-specific mobile application can serve as a practical and scalable solution to enhance financial literacy and management among micro-entrepreneurs, thereby promoting sustainable small business growth. Recommendations include integrating the app into existing entrepreneurial support programs, expanding its features based on user feedback, and conducting longitudinal studies to assess long-term impacts. Future research should explore scalability across different regions and incorporate advanced functionalities such as automated bookkeeping and integration with mobile banking services to further facilitate financial inclusion and entrepreneurial development.