Big Data Technology Acceptance Model (TAM) in Indonesian state-owned financial services and banking

Abstract

The aim of this study in general is to examine the influence of perceived ease of use, perceived usefulness, and perceived risk on intention to use. The subject of this study is the account officer of the big data user of a state-owned company in Malang, East Java, Indonesia. Specifically, this research has the purpose of finding out both the simultaneous and partial influence of perceived use, perceived usefulness, and perceived risk on the intention to use the big data of State-Owned Bank customers. This study is a survey employing both quantitative and qualitative data analysis. The samples of the subjects used were 95 account officers of a state-owned bank in East Java who used customer big data. The analysis conducted in this study included multiple linear regression testing and hypothesis testing for both simultaneous and partial The result of the F testing indicates that collectively, the perceived ease of use, perceived usefulness, and perceived risk variables have a simultaneous and positive influence on the intention to use the customer's big data. However, based on the T-test, it was observed that perceived usefulness is the only variable that has a partial influence on the intention to use the big data of the customers. While the other two variables, perceived ease of use and perceived risk, were found to have no significant influence on the intention to use the bank’s customers' big data.