Factors Influencing the Adoption of Natural Language Processing of Commercial Banks in Vietnam

Dinh The Hung; Nguyen Danh Quang; Tran Minh Tuan; Nguyen Khoa

doi:10.55220/2576-6759.556

Authors

Dinh The Hung School of Accounting and Auditing, National Economics University, Vietnam.
Nguyen Danh Quang BIFA 8D, School of Accounting and Auditing, National Economics University, Vietnam.
Tran Minh Tuan HNUE High School for Gifted Students, Vietnam.
Nguyen Khoa Nguyen Sieu School, Vietnam.

DOI:

https://doi.org/10.55220/2576-6759.556

Keywords:

Artificial intelligence (AI), Digital transformation, Natural language processing (NLP).

Abstract

In the digital age, the adoption of natural language processing (NLP) has emerged as an inevitable trend in the banking sector, supporting the reduction of time and costs, optimizing data management, and enhancing customer experience. However, the adoption of NLP in commercial banking activities in Vietnam faces significant challenges. The study utilized a multivariate regression model and SPSS software to examine the influence of six factors: Compatibility, Technical Complexity, Business Orientation, Human Resources, Legal Corridor, and Market Uncertainty. The results showed that three factors, namely Technical Complexity, Business Orientation, and Legal Corridor, affect the adoption of NLP in commercial banks in Vietnam. Based on these findings, the research team proposed several recommendations and solutions to accelerate the adoption of NLP in Vietnam.