Artificial Intelligence Divide Between Digital Immigrants and Natives in Egypt (Arabic)

The study explores the artificial intelligence (AI) divide in Egypt while considering the moderating influence of age/generation. The research compares digital natives born in the digital age vis-à-vis digital immigrants who grew up in less technologically adapted environments. The study uses the UTAUT2 model to measure how determinants of AI acceptance and digital self-efficacy impact the intentions and behaviors of 400 surveyed individuals. The results indicate that all AI acceptance determinants positively affect users’ intentions in both generations. However, social influence is more prevalent among digital immigrants, while hedonic motivation more significantly affects digital natives. Both generations prioritize performance expectancy, as well as habit and facilitating conditions, and highlight the low impact of effort expectancy. Digital self-efficacy dimensions also impact AI acceptance and use differently for each respectivegeneration. Interestingly, the study revealed an AI divide between generations. However, it proposed that governments and tech developers could reduce this divide by making AI more inclusive for all ages, which includes ensuring technology access for adults and individuals with special needs.

Authors

Publication Details

Journal
Arab Media and Society.
Published
2024-12-01
DOI
https://doi.org/10.70090/afa24ddi
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence Divide Between Digital Immigrants and Natives in Egypt (Arabic)

Alaa Fawzy Abdellatef
Arab Media and Society.
Technology Adoption and User Behaviour
article

Artificial Intelligence Divide Between Digital Immigrants and Natives in Egypt (Arabic)

Alaa Fawzy Abdellatef
article en

Abstract

The study explores the artificial intelligence (AI) divide in Egypt while considering the moderating influence of age/generation. The research compares digital natives born in the digital age vis-à-vis digital immigrants who grew up in less technologically adapted environments. The study uses the UTAUT2 model to measure how determinants of AI acceptance and digital self-efficacy impact the intentions and behaviors of 400 surveyed individuals. The results indicate that all AI acceptance determinants positively affect users’ intentions in both generations. However, social influence is more prevalent among digital immigrants, while hedonic motivation more significantly affects digital natives. Both generations prioritize performance expectancy, as well as habit and facilitating conditions, and highlight the low impact of effort expectancy. Digital self-efficacy dimensions also impact AI acceptance and use differently for each respectivegeneration. Interestingly, the study revealed an AI divide between generations. However, it proposed that governments and tech developers could reduce this divide by making AI more inclusive for all ages, which includes ensuring technology access for adults and individuals with special needs.

Arab Media and Society.(37)
Reduced inequalities
Openalex Percentile: Top 74%
Technology Adoption and User Behaviour
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.

Artificial Intelligence Divide Between Digital Immigrants and Natives in Egypt (Arabic) — Alaa Fawzy Abdellatef · Arab Media and Society. (2024) | TGRS Research Map | TGRS