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The progress of technology has resulted in the introduction of diverse cutting-edge goods and services in the banking sector.Hence, implementing IT-based business strategies is essential for attaining a competitive edge and prevailing in business competition.The growing need for convenient transactions at any location and time, along with the transition from physical currency to electronic transactions, has led to substantial expansion in digital banking activities in Indonesia.Nevertheless, the process of digitizing banking services is perceived as somewhat sluggish in comparison to technology-driven financial services or fintech.The degree of consumer acceptance is a crucial concern as it is a decisive role in the system's performance.The objective of this study is to examine the components within the UTAUT 3 model that impact the adoption of digital banking in Indonesia.Additionally, the study will incorporate the McLean Delone method to enhance its analysis.Furthermore, the inclusion of the security system variable will be used to evaluate the effectiveness of digital banking security.The study was statistically conducted utilizing PLS-SEM data analysis with SmartPLS 4 and online questionnaire distribution.The study conducted on 424 respondents found that several proposed hypotheses, including Social Influence, Security System, Intention to Use, and Use, were statistically significant and accepted.However, seven other hypotheses, namely Performance Expectancy, Effort Expectancy, Habit, Personal Innovative, Information Quality, Service Quality, and System Quality, were found to be statistically insignificant and rejected.The characteristics that are accepted have a significant impact on an individual's intention to use, which ultimately determines the amount of user happiness.Nevertheless, the discarded hypotheses indicate that they do not exert the primary influence on an individual's evaluation.The moderate variable in this study did not yield statistically significant results and so cannot be utilized as a benchmark for evaluating satisfaction or acceptability of digital banking.
Cassandra et al. (Thu,) studied this question.