Urban and Rural Mobile Payment Adoption Study
Summary
Freelancer Client is hiring: Urban and Rural Mobile Payment Adoption Study.
Location: Remote
I’m conducting an urgent investigation into how—and why—urban and rural residents adopt mobile payment solutions. The goal is to map usage patterns, identify barriers, and uncover inequality drivers within city environments so that policymakers, fintech firms, and NGOs can act on reliable evidence rather than assumptions.
What you'll do:
• Literature Review only to cover and discuss variables conceptual framework, hypothesis maximum 1500-1800 words
Requirements:
• Compare adoption rates across income levels, gender, education, and neighbourhood types to reveal pockets of exclusion.
Skills: Research, Statistics, Research Writing, Statistical Analysis, SPSS Statistics, Tableau, Data Visualization, Data Analysis, Power BI, Data Collection
Budget: $10–$75 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Original
I’m conducting an urgent investigation into how—and why—urban and rural residents adopt mobile payment solutions. The goal is to map usage patterns, identify barriers, and uncover inequality drivers within city environments so that policymakers, fintech firms, and NGOs can act on reliable evidence rather than assumptions.
Scope
• Gather and analyse the freshest quantitative data on mobile‐payment use in major metropolitan areas (public datasets, industry reports, field surveys, or a blend you recommend).
• Compare adoption rates across income levels, gender, education, and neighbourhood types to reveal pockets of exclusion.
• Highlight infrastructural, regulatory, and behavioural factors that accelerate or hinder uptake.
• Translate findings into clear visualisations—tables, heat maps, infographics—and a concise narrative (≈15 pages) with actionable recommendations.
Preferred tools include R, Stata for statistical work; SPSS, SMART PLS,
Acceptance criteria
Maximum 5500 words including Reference [IEEE reference Style]
-Introduction -maximum 800 words
-Literature Review only to cover and discuss variables conceptual framework, hypothesis maximum 1500-1800 words
-Methodology should be specific maximum words-
-Results and discussion -should cover All results in Table and Figures and explain
-Conclusion, Recommendation, Limitation and future studies-
Country Specific information Confidential will share privately only -
Plagiarism and AI Must below 15%
More details will be shared- privately
4. Delivery within the agreed ASAP window—please outline a schedule that shows key checkpoints and how you will keep me updated.
Looking forward to collaborating on insights that close the digital finance gap in our cities.
Location & Details
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