TY - JOUR
T1 - ChatGPT adoption and anxiety
T2 - a cross-country analysis utilising the unified theory of acceptance and use of technology (UTAUT)
AU - Budhathoki, Tribi
AU - Zirar, Araz
AU - Tchouamou Njoya, Eric
AU - Timsina, Achyut
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with an additional construct- anxiety, to investigate university students’ adoption intention of ChatGPT in two higher education contexts– the UK and Nepal. 239 and 226 questionnaires were deemed sufficient for data analysis for Nepal and the UK, respectively. We utilised the structural equation modelling technique to test the hypotheses. Our results reveal that performance expectancy, effort expectancy and social influence significantly impacted the adoption intention of ChatGPT for both countries. However, anxiety's impact varied between Nepal and the UK. Integrating UTAUT with a cross-country comparative approach provides insights into how ChatGPT's reception diverges between different higher education contexts. Our results also have implications for technology companies aiming to expand language models' availability worldwide.
AB - The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with an additional construct- anxiety, to investigate university students’ adoption intention of ChatGPT in two higher education contexts– the UK and Nepal. 239 and 226 questionnaires were deemed sufficient for data analysis for Nepal and the UK, respectively. We utilised the structural equation modelling technique to test the hypotheses. Our results reveal that performance expectancy, effort expectancy and social influence significantly impacted the adoption intention of ChatGPT for both countries. However, anxiety's impact varied between Nepal and the UK. Integrating UTAUT with a cross-country comparative approach provides insights into how ChatGPT's reception diverges between different higher education contexts. Our results also have implications for technology companies aiming to expand language models' availability worldwide.
KW - ChatGPT
KW - UTAUT
KW - Higher Education
KW - Structural Equation Modelling (SEM)
KW - Anxiety
UR - http://www.scopus.com/inward/record.url?scp=85189162017&partnerID=8YFLogxK
U2 - 10.1080/03075079.2024.2333937
DO - 10.1080/03075079.2024.2333937
M3 - Article
VL - 49
SP - 831
EP - 846
JO - Studies in Higher Education
JF - Studies in Higher Education
SN - 0307-5079
IS - 5
ER -