Artificial Intelligence in Money Management: A Multidisciplinary Framework for Financial Decision-Making

Abstract

The rapid integration of Artificial Intelligence (AI) into financial services has significantly transformed traditional approaches to money management. This study aims to examine the role of AI in enhancing financial decision-making through a multidisciplinary lens, incorporating perspectives from management, behavioural finance, and information technology. Adopting a quantitative research design, primary data were collected through a structured questionnaire administered to individuals actively engaged in financial decision-making. The study investigates key factors influencing the adoption of AI-based money management tools, including perceived usefulness, ease of use, financial literacy, and trust in technology. Using statistical techniques such as regression analysis and structural equation modelling (SEM), the findings reveal that AI-driven tools positively impact financial planning, investment decisions, and overall financial efficiency. The results further indicate that behavioural factors, particularly trust and financial awareness, play a significant mediating role in the effective utilization of AI in money management. The study contributes to the existing literature by proposing a multidisciplinary framework that integrates technological, behavioural, and managerial dimensions of AI adoption in financial contexts. The practical implications of the study highlight the need for financial institutions and policymakers to promote AI literacy and develop user-centric financial technologies to enhance decision-making outcomes. This research offers valuable insights for academicians, practitioners, and policymakers aiming to leverage AI for improved financial management practices.