Exploring Mobile Payment Adoption in Egypt: Challenges, Behaviors and Predictions

Document Type : Original Article

Authors

1 Faculty of Business, Alamein International University

2 School of Information Technology and Computer Science (ITCS), Nile University

3 The Graduate School of Management of Technology, Nile University

Abstract

This study investigates mobile payment adoption in Egypt. Egypt's transition to electronic payment systems is beset with difficulties. This research thoroughly examines adoption patterns, cultural perspectives, and predictive models for forthcoming patterns. Convenience sampling was used in a survey to investigate mobile payment awareness in Egypt in 2024. There were 175 participants in the research. After participant profiles were obtained through data analysis, mobile payment awareness behaviors were predicted using machine learning approaches such as K-Nearest Neighbors, Support Vector Machine, Stochastic Gradient Descent, and Neural Network algorithms. This study fills in some of the gaps in the literature on the adoption of mobile payments by providing insightful information that will help policymakers, businesspeople, and academics better understand the dynamics of mobile payment acceptance in Egypt.

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