AI Reuse Intention: A Study of Finance Students in Hochiminh University of Banking

Dublin Core

Title

AI Reuse Intention: A Study of Finance Students in Hochiminh University of Banking

Creator

Nguyen Manh Toan

Proceedings Item Type Metadata

meta_title

AI Reuse Intention: A Study of Finance Students in Hochiminh University of Banking

Abstract/Description

This study investigates the factors influencing students' intention to continue using AI chatbots at Ho Chi Minh University of Banking (HUB). Drawing on the UTAUT2 model, the research examines the effects of Perceived Ease of Use, Perceived Usefulness, Social Influence, Hedonic Motivation, Habit, Functional Congruence, and Perceived Vulnerability on Behavioral Intention. Data was collected from 248 students who had previously used AI chatbots. The analysis reveals that Perceived Usefulness is the strongest predictor of continued use intention, followed by Hedonic Motivation and Habit. Social Influence does not significantly impact intention. The findings provide valuable insights for educational institutions and financial organizations in developing strategies to promote AI adoption among future professionals in the banking and finance sector.

publication_date

2025/06/20

pdf_url

https://insyma.org/proceedings/files/articles/6. Vietnam_Tran Duc Thuc.pdf

abstract_html_url

https://insyma.org/proceedings/items/show/473

keywords

Chatbot AI, ChatGPT, UTAUT2 model, behavioural intention, student, HUB

firstpage

1003

lastpage

1009

issn

3047-857X

conference

Proceedings of the International Symposium on Management (Volume 21, 2024)

Volume

22

publisher_name

Fakultas Bisnis dan Ekonomika, Universitas Surabaya

Author #1

Nguyen Manh Toan

Author #2

Tran Duc Thuc

no article

161

authors

Nguyen Manh Toan, Tran Duc Thuc

Files

6. Vietnam_Tran Duc Thuc.pdf

Citation

Nguyen Manh Toan, “AI Reuse Intention: A Study of Finance Students in Hochiminh University of Banking,” Proceedings of the International Symposium on Management (INSYMA), accessed July 1, 2025, https://insyma.org/proceedings/items/show/473.

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