An empirical study on the use of artificial intelligence in the banking sector of Indonesia by extending the TAM model and the moderating effect of perceived trust

Ikhsan, Ridho Bramulya and Fernando, Yudi and Prabowo, Hartiwi and Yuniarty, Y and Gui, Anderes and Kuncoro, Engkos Achmad (2025) An empirical study on the use of artificial intelligence in the banking sector of Indonesia by extending the TAM model and the moderating effect of perceived trust. Digital Business, 5 (1). pp. 1-19. ISSN 2666-9544. (Published)

[img]
Preview
Pdf
AI in banking sector.pdf
Available under License Creative Commons Attribution.

Download (2MB) | Preview

Abstract

Artificial intelligence technology is increasingly becoming integral in business, and banks need to implement this technology on a large scale for competitiveness. However, studies on artificial intelligence in the banking sector are limited, and customers are concerned about its implementation. Therefore, this study aims to measure the intention to continue adopting artificial intelligence in Indonesia’s banking sector. This study proposed nineteen hypotheses and used a technology acceptance model framework with the awareness of artificial intelligence, subjective norms, perceived risk, and perceived trust as extensions. The researchers surveyed 388 bank customers who have interacted with artificial intelligence. The survey results extended the technology acceptance model framework by accepting all the hypotheses. This study contributes to the banking industry of developing countries by generating artificial intelligence technology with a high level of security.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Artificial intelligence; Awareness; Perceived risk and trust; Subjective norm; Technology acceptance model
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HF Commerce
Faculty/Division: Faculty of Industrial Management
Depositing User: Professor Yudi Fernando
Date Deposited: 13 Jan 2025 02:57
Last Modified: 13 Jan 2025 02:57
URI: http://umpir.ump.edu.my/id/eprint/43527
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item