Gen AI – My Friend Indeed: An Empirical Study of Indian Students’ Perspectives through UTAUT2 Lens

Generative Artificial Intelligence (Gen AI) tools like ChatGPT, gemini and Copilot are reshaping the academic experience of higher education students around the world. The adoption and experimentation of Gen AI tools in Indian institutions of higher education have increased tremendously. This paper analyzed the predictors of Gen AI adoption, using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, with a sample of 612 students studying in various higher education institutions in Greater Noida. This study used a Random Forest technique to determine the most significant predictors influencing the intention of students to adopt and maintain the use of Gen AI. The findings shows that Performance Expectancy, Hedonic Motivation, and Facilitating Conditions are the significant predictors whereas Price Value and Social Influence are not significant enough, which is the contradiction to previous UTAUT2 research studies. The study also addresses the theoretical and practical implications along with limitations and future research directions.

Authors

Publication Details

Published
2026-02-17
DOI
https://doi.org/10.25397/y3rt-am71
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gen AI – My Friend Indeed: An Empirical Study of Indian Students’ Perspectives through UTAUT2 Lens

Lalit Kumar
AI in Service Interactions
article

Gen AI – My Friend Indeed: An Empirical Study of Indian Students’ Perspectives through UTAUT2 Lens

Lalit Kumar
article en

Abstract

Generative Artificial Intelligence (Gen AI) tools like ChatGPT, gemini and Copilot are reshaping the academic experience of higher education students around the world. The adoption and experimentation of Gen AI tools in Indian institutions of higher education have increased tremendously. This paper analyzed the predictors of Gen AI adoption, using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, with a sample of 612 students studying in various higher education institutions in Greater Noida. This study used a Random Forest technique to determine the most significant predictors influencing the intention of students to adopt and maintain the use of Gen AI. The findings shows that Performance Expectancy, Hedonic Motivation, and Facilitating Conditions are the significant predictors whereas Price Value and Social Influence are not significant enough, which is the contradiction to previous UTAUT2 research studies. The study also addresses the theoretical and practical implications along with limitations and future research directions.

Quality Education
Openalex Percentile: Top 55%
AI in Service Interactions
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.

Gen AI – My Friend Indeed: An Empirical Study of Indian Students’ Perspectives through UTAUT2 Lens — Lalit Kumar · (2026) | TGRS Research Map | TGRS