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

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  • Dinh The Hung

  • Nguyen Danh Quang

  • Tran Minh Tuan

  • Nguyen Khoa

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.

Suggested Citation

  • Dinh The Hung & Nguyen Danh Quang & Tran Minh Tuan & Nguyen Khoa, 2025. "Factors Influencing the Adoption of Natural Language Processing of Commercial Banks in Vietnam," Asian Business Research Journal, Eastern Centre of Science and Education, vol. 10(9), pages 7-15.
    • Handle: RePEc:ajn:abrjou:v:10:y:2025:i:9:p:7-15:id:556
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