Assessing the Net Benefits of Generative Artificial Intelligence Systems for Wealth Management Service Innovation: A Validation of the Delone and Mclean Model of Information System Success

Generative Artificial Intelligence (GAI) can impact wealth management services; financial institutions actively integrate technology into their operations to acquire a competitive edge and foster innovation. This paper examines the information system success factors that influence the adoption of GAI in wealth management services via the lens of information system success theory. Participants responded to the online structured questionnaire, and structural equation modelling was used for data analysis. Findings indicate that system and service quality significantly influenced generative Net Benefit, whereas Information Quality did not affect generative artificial intelligence adoption. Further moderation of perceived risk on the relation between GAI and net benefit was found to be significant. Also, generative artificial intelligence adoption significantly influenced the net benefits of the information system. The findings indicate that the suggested model can help decision-makers and consumers evaluate the adoption of GAI, improving wealth management efficiency. Wealth management demands sophisticated tools to optimise financial plans and entails complex decision-making. GAI” has demonstrated promise in creating models, data, and strategies.