Theoretical and Applied Economics
No. 3 / 2024 (640), Autumn
Understanding users' behavioral intention to use artificial intelligence for personal financial management: an innovation diffusion theory approach
Bharathidasan University, India
Selvaraj VANITHA
Bharathidasan University, India
Abin JOHN
Bharathidasan University, India
Abstract. The purpose of this study is to investigate the factors that influence users' behavioral intentions to adopt Artificial Intelligence for personal financial management using an Innovation Diffusion Theory (IDT) framework. An analysis of empirical data collected from 246 users is conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal that users' intentions to embrace AI in financial management are influenced by a variety of factors, including relative advantage, compatibility, and observability. As a result of this study, we offer insights into the intricate interplay of factors affecting the adoption of artificial intelligence in personal finance.
Keywords: Artificial Intelligence, Fintech, Personal Financial Management, Innovation Diffusion Theory.
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Contents
- Analyzing the impact of oil price fluctuations
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Abdessamed BEN ABDERRAHMANE
- Impact of population cycle
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Joy SARKAR
- Understanding users' behavioral intention to use
artificial intelligence for personal financial management:
an innovation diffusion theory approach
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Selvaraj VANITHA
Abin JOHN
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