Measuring the Impact of Digital Technology on Consumer Behavior Using Machine Learning: A Case Study of Saudi Arabia Research-in-progress

Digital technology has profoundly reshaped consumer behavior, influencing purchasing decisions and interactions with businesses. This study investigates the impact of digital technology on consumer behavior in Saudi Arabia. Grounded in the UTAUT2 framework, the research integrates Digital Trust and Personalization as key mediating factors. A mixed-methods approach is employed, combining quantitative surveys conducted through social media platforms with qualitative interviews involving industry leaders. The study develops an AI-driven predictive model to anticipate consumer behavior, offering valuable insights for businesses and policymakers. The findings aim to enhance digital marketing strategies, improve customer engagement, and support data-driven decision-making, contributing to the evolution of Saudi Arabia’s digital economy.

Authors

Publication Details

Journal
Communications of International Proceedings
Published
2025-09-22
DOI
https://doi.org/10.5171/2025.4520025
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring the Impact of Digital Technology on Consumer Behavior Using Machine Learning: A Case Study of Saudi Arabia Research-in-progress

Muhammad Hatim Binsawad, Abdullah Raja Alhejaili, Fahad S. ALBAQAMI
Communications of International Proceedings
Islamic Finance and Banking Studies
article

Measuring the Impact of Digital Technology on Consumer Behavior Using Machine Learning: A Case Study of Saudi Arabia Research-in-progress

Muhammad Hatim Binsawad, Abdullah Raja Alhejaili, Fahad S. ALBAQAMI
article en

Abstract

Digital technology has profoundly reshaped consumer behavior, influencing purchasing decisions and interactions with businesses. This study investigates the impact of digital technology on consumer behavior in Saudi Arabia. Grounded in the UTAUT2 framework, the research integrates Digital Trust and Personalization as key mediating factors. A mixed-methods approach is employed, combining quantitative surveys conducted through social media platforms with qualitative interviews involving industry leaders. The study develops an AI-driven predictive model to anticipate consumer behavior, offering valuable insights for businesses and policymakers. The findings aim to enhance digital marketing strategies, improve customer engagement, and support data-driven decision-making, contributing to the evolution of Saudi Arabia’s digital economy.

Communications of International Proceedings
Openalex Percentile: Top 62%
Islamic Finance and Banking Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.