Topic:
ANALYSIS OF THE IMPACT OF THE ADOPTION OF DIGITAL FINANCIAL TECHNOLOGIES ON MSMEs IN THE DOMINICA (CARIBBEAN)
need assistance doing the Analysis and Discussion (3800 words), Conclusion and Recommendations 2700
Data Analysis and Discussion (20%)
Depending on the type of the research, you can present and discuss your findings in one chapter Data Analysis and Discussion or two chapters, one dedicated to Data Analysis and the other to the Discussion of the findings. The marking will be based on the quality of the chapter(s), in particular: • The dissertation is clearly focused and there is a clearly discernible line of argument running through the work. • Findings are appropriately and effectively presented and discussed. • Argument shows originality and is convincing. • Theory, secondary and primary data show a high level of integration and rigor. • Quality and depth of interpretation and analysis are of a high level. Conclusions and Recommendations (15%)
Conclusions and recommendations are logically derived from and supported by previous evidence. Research objectives are met. Meaningful recommendations and/or directions for future research (depending on the nature of the topic) are provided.
Depending on the type of the research, you can present and discuss your findings in one chapter Data Analysis and Discussion or two chapters, one dedicated to Data Analysis and the other to the Discussion of the findings. The marking will be based on the quality of the chapter(s), in particular: • The dissertation is clearly focused and there is a clearly discernible line of argument running through the work. • Findings are appropriately and effectively presented and discussed. • Argument shows originality and is convincing. • Theory, secondary and primary data show a high level of integration and rigor. • Quality and depth of interpretation and analysis are of a high level. Conclusions and Recommendations (15%)
Conclusions and recommendations are logically derived from and supported by previous evidence. Research objectives are met. Meaningful recommendations and/or directions for future research (depending on the nature of the topic) are provided.
Formatting
● Font: 12 Times New Roman for the main text
● Headings of the Chapters can be font 14 or 16
● Sections and sub-sections numbered starting with the chapter number (e.g., in Chapter 3 these would be: 3.1, 3.2, 3.2.1, 3.2.2., etc.)
● One and a half (1.5) spaced
● Paragraph spacing 6 pt
● Justify text alignment
● References in text and in the Reference list in Harvard style
● All pages numbered consecutively beginning with the first page of the main body (from Introduction)
● Page numbers should be in the centre or right-hand corner at the bottom of the page.
● Font: 12 Times New Roman for the main text
● Headings of the Chapters can be font 14 or 16
● Sections and sub-sections numbered starting with the chapter number (e.g., in Chapter 3 these would be: 3.1, 3.2, 3.2.1, 3.2.2., etc.)
● One and a half (1.5) spaced
● Paragraph spacing 6 pt
● Justify text alignment
● References in text and in the Reference list in Harvard style
● All pages numbered consecutively beginning with the first page of the main body (from Introduction)
● Page numbers should be in the centre or right-hand corner at the bottom of the page.
The study design for the impact of fintechs on MSMEs in Dominica may include the following steps:
· Define research questions and objectives: Clearly define the research questions and objectives to guide the study and ensure that it addresses the key issues related to the impact of fintech on MSMEs in the Caribbean.
· Literature review: Conduct a thorough literature review of existing studies on the impact of fintech on MSMEs, both globally and in the Caribbean region. This will provide a background on the current state of the field and identify gaps in the literature that the study can aim to fill.
· Data collection: Collect data from relevant sources, including surveys of MSMEs, interviews with fintech providers, and secondary data from government agencies and other organizations. Consider using both qualitative and quantitative data collection methods.
· Sample selection: Select a representative sample of MSMEs in the Caribbean to participate in the study, taking into account regional and sectoral differences. Ensure that the sample size is large enough to generate reliable results.
· Data analysis: Analyze the data using appropriate statistical methods and tools, such as regression analysis or logistic regression, to measure the impact of fintech on MSMEs in the Caribbean. Consider using both descriptive and inferential statistics.
· Interpretation and conclusions: Interpret the results of the data analysis, drawing conclusions about the impact of fintech on MSMEs in the Caribbean. Address any limitations of the study and suggest areas for future research.
· Report writing and dissemination: Write a comprehensive report that summarizes the findings of the study, including a detailed description of the study design, data collection methods, and data analysis. Disseminate the report to relevant stakeholders, including MSMEs, fintech providers, policymakers, and the academic community.
· Define research questions and objectives: Clearly define the research questions and objectives to guide the study and ensure that it addresses the key issues related to the impact of fintech on MSMEs in the Caribbean.
· Literature review: Conduct a thorough literature review of existing studies on the impact of fintech on MSMEs, both globally and in the Caribbean region. This will provide a background on the current state of the field and identify gaps in the literature that the study can aim to fill.
· Data collection: Collect data from relevant sources, including surveys of MSMEs, interviews with fintech providers, and secondary data from government agencies and other organizations. Consider using both qualitative and quantitative data collection methods.
· Sample selection: Select a representative sample of MSMEs in the Caribbean to participate in the study, taking into account regional and sectoral differences. Ensure that the sample size is large enough to generate reliable results.
· Data analysis: Analyze the data using appropriate statistical methods and tools, such as regression analysis or logistic regression, to measure the impact of fintech on MSMEs in the Caribbean. Consider using both descriptive and inferential statistics.
· Interpretation and conclusions: Interpret the results of the data analysis, drawing conclusions about the impact of fintech on MSMEs in the Caribbean. Address any limitations of the study and suggest areas for future research.
· Report writing and dissemination: Write a comprehensive report that summarizes the findings of the study, including a detailed description of the study design, data collection methods, and data analysis. Disseminate the report to relevant stakeholders, including MSMEs, fintech providers, policymakers, and the academic community.