Understanding ChatGPT continuous usage intention: The role of information quality, information usefulness, and source trust DOI Creative Commons
Il Bong Mun,

Kyung-Ho Hwang

Information Development, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Although ChatGPT has gained widespread popularity, research on users’ post-adoption behaviors remains limited. This study examined whether information quality (across five distinct attributes) predicts usefulness and source trust, which, in turn, influences intention to continue using ChatGPT. Data from users were analyzed structural equation modeling. The results indicate that the accuracy, richness, timeliness, format, relevance of presented by significantly associated with both trust. Moreover, findings showed trust positively continuance usage toward sheds light factors drive user perceptions offers a deeper understanding within domain generative AI like implications these directions for future are discussed.

Language: Английский

Watch out for errors! factors related to ChatGPT skepticism: a cognitive perspective DOI
Mengmeng Zhang, Jian‐Hong Ye, Xiantong Yang

et al.

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: Jan. 29, 2025

Language: Английский

Citations

1
Exploring the Paradoxical Use of ChatGPT in Education: Analyzing Benefits, Risks, and Coping Strategies through Integrated UTAUT and PMT Theories using a Hybrid Approach of SEM and fsQCA DOI Creative Commons
Wei‐Chung Hsu, Andri Dayarana K. Silalahi

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100329 - 100329

Published: Nov. 5, 2024

Language: Английский

Citations

5
Hallucination in AI-generated financial literature reviews: evaluating bibliographic accuracy DOI

Orhan Erdem,

Kristi Hassett,

Feyzullah Egriboyun

et al.

International Journal of Data Science and Analytics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Language: Английский

Citations

0
Empirical investigation of a GPT-4o mini-based tutor for the learning of R programming DOI Creative Commons

Jana Von Dielingen,

Tobias R. Rebholz, Frank Papenmeier

et al.

Zeitschrift für Hochschulentwicklung, Journal Year: 2025, Volume and Issue: 20(SH-KI-2), P. 253 - 274

Published: Feb. 27, 2025

This study investigated the impact of an AI-based tutor using GPT-4o mini on R programming task outcomes and subjective evaluations among psychology students at University Tübingen. Students were divided into three groups: AI tutor, video tutorial, or both. Confirmatory analyses showed no significant differences in performance points across groups. Descriptive results exploratory suggest that our improved learning environment without affecting time performance. We discuss implications for future research use higher education.

Language: Английский

Citations

0
How Do ChatGPT's Benefit–Risk Paradoxes Impact Higher Education in Taiwan and Indonesia? An Integrative Framework of UTAUT and PMT with SEM & fsQCA DOI Creative Commons
Wei‐Chung Hsu, Andri Dayarana K. Silalahi,

Adi Prasetyo Tedjakusuma

et al.

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100412 - 100412

Published: April 1, 2025

Language: Английский

Citations

0
Understanding ChatGPT continuous usage intention: The role of information quality, information usefulness, and source trust DOI Creative Commons
Il Bong Mun,

Kyung-Ho Hwang

Information Development, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Although ChatGPT has gained widespread popularity, research on users’ post-adoption behaviors remains limited. This study examined whether information quality (across five distinct attributes) predicts usefulness and source trust, which, in turn, influences intention to continue using ChatGPT. Data from users were analyzed structural equation modeling. The results indicate that the accuracy, richness, timeliness, format, relevance of presented by significantly associated with both trust. Moreover, findings showed trust positively continuance usage toward sheds light factors drive user perceptions offers a deeper understanding within domain generative AI like implications these directions for future are discussed.

Language: Английский

Citations

0