Predicting the Intention to Use the Investment Aggregate Functionality in the Context of Open Banking Using the Artificial Neural Network Approach
Year: 2023
Type: conference-paper
Study design: Observational Study
Abstract: This study investigates the determining factors influencing the intention to use investment aggregator functionality in the context of Open Banking. A survey involving 167 participants was conducted, employing an in-depth analysis through Artificial Neural Networks (ANN). The findings reveal that the construct of "innovativeness" is the most influential factor for individuals’ intention to utilize investment aggregator functionality. Furthermore, “trust,” “social influence,” “optimism,” and “perceived usefulness” were identified as additional significant factors. Notably, individuals already engaged in investment activities, including variable income or fixed income investments, exhibited a higher inclination to adopt technology. These findings contribute to companies and banks considering the implementation of Investment Aggregator technology by providing valuable insights for effective adoption strategies. Additionally, this study offers technical contributions to Open Banking technology and aggregating tools, expanding knowledge in the field and presenting practical recommendations for companies to successfully apply this technology. Moreover, the study contributes to the deepening of the theme and the advancement of knowledge in non-linear methods, enriching the understanding of this evolving field.
Source: Procedia Computer Science
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4385743169