
The primary aim of this project is to conduct a comprehensive analysis of the financial strategies adopted by e-commerce companies, with a specific focus on capital structure and working capital management. The study aims to evaluate how these firms finance their operations, manage liquidity, and optimize capital efficiency in a highly competitive and dynamic digital business environment. It also seeks to understand the impact of financial decisions on the overall performance and sustainability of e-commerce businesses.
Clearly state the aim of the study and outline specific research questions.
Set SMART (Specific, Measurable, Achievable, Relevant, Time-bound) objectives focusing on capital structure and working capital in e-commerce.
Study existing theories and frameworks related to capital structure (e.g., Modigliani-Miller, Trade-off theory, Pecking order theory) and working capital management.
Review prior research and financial practices in the e-commerce industry.
Choose relevant e-commerce companies (e.g., Amazon, Flipkart, Meesho, Nykaa, etc.).
Collect financial data from annual reports, stock exchanges, company websites, or financial databases.
Decide whether the study will be descriptive, analytical, or comparative.
Choose tools like ratio analysis, trend analysis, or comparative balance sheet analysis.
Calculate and interpret financial ratios like debt-to-equity ratio, interest coverage ratio, cost of capital, etc.
Examine funding sources—equity vs. debt—and how these affect the financial risk and performance.
Assess current ratio, quick ratio, inventory turnover, receivables/payables days, and cash conversion cycle.
Evaluate how efficiently companies manage their short-term resources.
Draw insights from the financial data.
Identify trends, strengths, weaknesses, and the financial health of the selected companies.
Summarize findings on how capital structure and working capital impact performance.
Suggest strategic improvements for better financial management in e-commerce.
Draft the report with clear chapters: Introduction, Literature Review, Methodology, Analysis, Findings, Conclusion, and References.
Use graphs, tables, and charts to present data effectively.
Create a professional PowerPoint presentation summarizing key points.
Be prepared to answer questions and defend your analysis during the viva.