TY - JOUR
T1 - The role of social influence in generative artificial intelligence ChatGPT adoption intentions among undergraduate and graduate students
AU - Korchak, Anna
AU - Al Murshidi, Ghadah
AU - Getman, Aleksandra
AU - Raouf, Noor
AU - Arshe, Marwa
AU - Al Meheiri, Nawal
AU - Shulgina, Galina
AU - Costley, Jamie
N1 - Publisher Copyright:
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2025
Y1 - 2025
N2 - This study explores the role of social influence in the adoption strategies of generative artificial intelligence (GenAI) among graduate and undergraduate students. Using the Unified Theory of the Acceptance and Use of Technology (UTAUT) and its key behaviour intention determinant, social influence, the relationship between GenAI popularity among peers and its use intention was examined. Survey data (271 UAE university students) revealed a significant relationship between social influence and GenAI use intention, with undergraduate students being more affected by peers than graduates. This difference may be explained by higher autonomy, level of independence, and less cohesive peer networks among graduate students. The increased GenAI popularity among undergraduate students can also be attributed to some degree to the non-voluntary nature of their environment and a stronger peer influence. The study contributes to UTAUT advancement by extending the social influence construct to voluntary and non-voluntary GenAI use settings.
AB - This study explores the role of social influence in the adoption strategies of generative artificial intelligence (GenAI) among graduate and undergraduate students. Using the Unified Theory of the Acceptance and Use of Technology (UTAUT) and its key behaviour intention determinant, social influence, the relationship between GenAI popularity among peers and its use intention was examined. Survey data (271 UAE university students) revealed a significant relationship between social influence and GenAI use intention, with undergraduate students being more affected by peers than graduates. This difference may be explained by higher autonomy, level of independence, and less cohesive peer networks among graduate students. The increased GenAI popularity among undergraduate students can also be attributed to some degree to the non-voluntary nature of their environment and a stronger peer influence. The study contributes to UTAUT advancement by extending the social influence construct to voluntary and non-voluntary GenAI use settings.
KW - GenAI use intention
KW - Generative artificial intelligence (GenAI)
KW - graduate students
KW - peer influence
KW - technology acceptance
KW - undergraduate students
UR - http://www.scopus.com/inward/record.url?scp=105004897276&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105004897276&partnerID=8YFLogxK
U2 - 10.1080/14703297.2025.2496942
DO - 10.1080/14703297.2025.2496942
M3 - Article
AN - SCOPUS:105004897276
SN - 1470-3297
JO - Innovations in Education and Teaching International
JF - Innovations in Education and Teaching International
ER -