Author:
,Florea Nicoleta Valentina,Croitoru Gabriel, ,Radu (Cârstea) Georgiana, ,Florea Daria,
Abstract
Artificial Intelligence in the banking system is constantly developing, especially among young customers. Innovation of digital products has an important role in the use of banking services, but human resources specialists in the banking system also have such a role, due to their expertise, knowledge and involvement in explaining the benefits of using Artificial Intelligence and digital products in the banking financial system. In this article, the Technology Acceptance Model (TAM) was used to show the impact of internal variables (the role of human resources specialists in the banking system) and external variables (Artificial Intelligence and innovation of digital products), TAMspecific PU and PEU, on the intention to continue using Artificial Intelligence in the banking financial system. The results indicated that innovative digital products and the role of human resources in the use of Artificial Intelligence, PU and PEU have a positive and direct impact on the intention to use Artificial Intelligence in the financial system. All research hypotheses have been fulfilled, indicating that Artificial Intelligence has an important role in the Romanian banking financial system among young consumers. The paper contributes to the development of the banking financial system by using Artificial Intelligence, highlighting the importance of human resources, TAM and PLS-SEM specialists in this field.
Publisher
Fundatia Institutul de Studii Financiare
Reference47 articles.
1. "1. Ali, Q, Parveen, S, Yaacob, H. and Zaini, Z., 2021. Cardless Banking System in Malaysia: An Extended TAM, Risks. 9(2):41. https://doi.org/10.3390/risks9020041
2. 2. AL Qahtani, E.H. and Alsmairat, M.A.K., 2023. Assisting artificial intelligence adoption drivers in human resources management: a mediation model, Acta Logistica, 10(1), 141-150, DOI 10.22306/al.v10i1.371
3. 3. AlKailani, M., 2016. Factors Affecting the Adoption of Internet Banking in Jordan: An Extended TAM Model, Journal of Marketing Development and Competitiveness, 10(1), 39-52
4. 4. Alshari, H.A. and Lokhande, M.A., 2023. Analysis of constraints and their impact on adopting digital FinTech techniques in banks, Electronic Commerce Research, DOI 10.1007/s10660-023-09782-6
5. 5. Alt, M.A. and Ibolya, V., 2021. Identifying Relevant Segments of Potential Banking Chatbot Users Based on Technology Adoption Behavior, Market- Trziste, 33 (2), 165-183, DOI 10.22598/mt/2021.33.2.165