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Proposer
Usman S Sanusi
Title
Investigating prominent factors affecting E-commerce development in Developing Nations
Goal
Description
The project would study the influencing factors for the successes and challenges affecting e-commerce development in a number of developing nations, building regression models of e-commerce development and its turnover index as the contribution to the national GDP. This project would study the influencing factors for the successes and challenges affecting e-commerce development in developing nations, building regression models of e-commerce development and its turnover index as the contribution to the national GDP. Business intelligence tools including Google Analytics (GA) software could be employed for preliminary investigations on the leading African e-commerce platforms upon timely agreement. Leveraging linear model’s capability to produce relationship between a set of independent variables and dependent variable, the project will build robust influence factor regression models of e-commerce development, exploring different implementations of algorithms. These include Classification and Regression Tree (CART), Multivariate Linear Regression, and partial least square regression (PLR). The regression models would be developed based on relevant time series data including indices on access to computers, Internet penetration, mobile phone ownership, population of middle class and levels of financial inclusion amongst others. These indices would be derived primarily from a number of publicly accessible data including those from United State Trade department, World Trade Organization (WTO) and global data platforms such as Statista. To drive insights 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, while GA to provide quick and easy indications on the likely usability problems using non-identifiable and aggregate data.
Resources
Background
Url
Difficulty Level
Variable
Ethical Approval
None
Number Of Students
0
Supervisor
Usman S Sanusi
Keywords
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Information Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Data Science
Master of Science in Information Technology (Software Systems)
Bachelor of Science in Computing Science
Bachelor of Science in Statistical Data Science
BSc Data Sciences
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