View Proposal
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Proposer
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Usman S Sanusi
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Title
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Investigating prominent factors affecting E-commerce development in Africa
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Goal
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Description
- African e-commerce users are expected to surpass half a billion by 2025, a record 40% landmark compared to about 140 million users in 2017 (13%), representing nearly 17% compound annual growth rate. Additionally, Africa leads mobile internet usage with over 13% above global average, as well as nearly 5% more than Asian mobile usage. This indicated a clear indispensability and promising value for mobile approach to online businesses targeting African markets. However, African ecommerce is far from maturity in terms of profitability, as recent reports showed less than 30% of e-commerce start-ups were profitable in the continent, while most of the bigger companies are yet to record a profit in more than a decade.
Meanwhile various studies have identified challenges that include underdeveloped infrastructure, logistical constraints and limited payment gateways. This project would study the influencing factors for the successes and challenges affecting e-commerce development in Africa, building regression models of e-commerce development and its turnover index as the contribution to the national GDP. Resultant models would be validated on relevant time series data, while Business intelligence tools including Google Analytics software, to be employed for preliminary investigations on the leading African e-commerce platforms. To drive insight and potentially to provide suggestions on how to advance e-commerce, machine learning toolkit – weka and SPSS software package would be utilized for modelling and statistical analysis of the data.
- Resources
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Background
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Url
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Difficulty Level
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Easy
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Ethical Approval
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None
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Number Of Students
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0
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Supervisor
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Usman S Sanusi
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Keywords
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e-commerce,business intelligence,data science,digital marketing,
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Degrees
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Bachelor of Science in Computer Science
Master of Science in Data Science
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Bachelor of Science in Statistical Data Science