Evaluation of E-Banking Systems with Analytic Hierarchy Process Model

E-banking systems streamlines business processes and individual lives. A proper E-banking system helps to drive the economy of a country. However, there are several determinants that may affect customers’ adoption on the E-banking system. Since this is a multi-criteria decision-making problem, analytic hierarchy process (AHP) is used to study the adoption of E-banking among consumers in Malaysia. Risk, convenience, and accessibility are the three most important decision criteria influencing the adoption of E-banking in Malaysia, with weights of 0.2988, 0.2894, and 0.1927. Among the sub-criteria, all-day availability (0.1604), system security (0.1343), ease of understanding (0.1147), function coverage (0.0974), and privacy and confidentiality (0.0967) are the top determinants on the adoption of E-banking in Malaysia. Mobile banking has the highest local weights in terms of service fulfilment (0.4438), risk (0.4227), accessibility (0.4840), convenience (0.5554), and user interface (0.4812). Mobile banking is thus the most preferred E-banking system with regards to all the decision criteria with a global weight of 0.4800. This paper helps the government and banks to identify the most impactful main criteria and sub-criteria to help them improve on the E-banking system to increase customer adoption.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2025-03-16
DOI
https://doi.org/10.37934/araset.64.1.5869
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of E-Banking Systems with Analytic Hierarchy Process Model

H. Weng, Shujia Weng, Fun Lee Pei, Way Chai Ming
Journal of Advanced Research in Applied Sciences and Engineering Technology
Advanced Research in Systems and Signal Processing
article

Evaluation of E-Banking Systems with Analytic Hierarchy Process Model

H. Weng, Shujia Weng, Fun Lee Pei, Way Chai Ming
article en

Abstract

E-banking systems streamlines business processes and individual lives. A proper E-banking system helps to drive the economy of a country. However, there are several determinants that may affect customers’ adoption on the E-banking system. Since this is a multi-criteria decision-making problem, analytic hierarchy process (AHP) is used to study the adoption of E-banking among consumers in Malaysia. Risk, convenience, and accessibility are the three most important decision criteria influencing the adoption of E-banking in Malaysia, with weights of 0.2988, 0.2894, and 0.1927. Among the sub-criteria, all-day availability (0.1604), system security (0.1343), ease of understanding (0.1147), function coverage (0.0974), and privacy and confidentiality (0.0967) are the top determinants on the adoption of E-banking in Malaysia. Mobile banking has the highest local weights in terms of service fulfilment (0.4438), risk (0.4227), accessibility (0.4840), convenience (0.5554), and user interface (0.4812). Mobile banking is thus the most preferred E-banking system with regards to all the decision criteria with a global weight of 0.4800. This paper helps the government and banks to identify the most impactful main criteria and sub-criteria to help them improve on the E-banking system to increase customer adoption.

Journal of Advanced Research in Applied Sciences and Engineering TechnologyVol. 64(1)
Universiti Tunku Abdul Rahman (MY)
Openalex Percentile: Top 95%
Advanced Research in Systems and Signal Processing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.