Factors Affecting the Success Level of Mobile Banking Information Systems at a Private Bank

The rapid advancement of technology has an impact on the banking sector which is marked by changes in the behavior of the Indonesian people in banking transactions, namely the increasing number of mobile banking users. The rising number of mobile banking users does not necessarily make customers comfortable and safe using mobile banking. This study will discuss what factors affect the success rate of mobile banking information systems using the modified Delone and McLean information system success method, which is the Security System variable added to the model. The research method used is quantitative research with the intended population being users of mobile banking services. This study uses SEM with a PLS approach as a data analysis method, showing that system security affects User satisfaction and Use.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-05-10
DOI
https://doi.org/10.52783/jisem.v10i44s.8584
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Factors Affecting the Success Level of Mobile Banking Information Systems at a Private Bank

Roland Samosir
Journal of Information Systems Engineering & Management
Technology Adoption and User Behaviour
article

Factors Affecting the Success Level of Mobile Banking Information Systems at a Private Bank

Roland Samosir
article en

Abstract

The rapid advancement of technology has an impact on the banking sector which is marked by changes in the behavior of the Indonesian people in banking transactions, namely the increasing number of mobile banking users. The rising number of mobile banking users does not necessarily make customers comfortable and safe using mobile banking. This study will discuss what factors affect the success rate of mobile banking information systems using the modified Delone and McLean information system success method, which is the Security System variable added to the model. The research method used is quantitative research with the intended population being users of mobile banking services. This study uses SEM with a PLS approach as a data analysis method, showing that system security affects User satisfaction and Use.

Journal of Information Systems Engineering & ManagementVol. 10(44s)
Openalex Percentile: Top 89%
Technology Adoption and User Behaviour
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