Determinant of M-Banking Usage and Adoption among Millennials

Mobile banking has the benefits of internet banking, in which the customer can access bank services over an internet connection anytime and anywhere. Millennials in Malaysia’s business environment are an enormous segment of the Malaysian population, and they are moving to take their places in the mi...

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Veröffentlicht in:Sustainability 2023-05, Vol.15 (10), p.8216
Hauptverfasser: Al Tarawneh, Mo’men Awad, Nguyen, Thi Phuong Lan, Yong, David Gun Fie, Dorasamy, Magiswary A/P
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container_end_page
container_issue 10
container_start_page 8216
container_title Sustainability
container_volume 15
creator Al Tarawneh, Mo’men Awad
Nguyen, Thi Phuong Lan
Yong, David Gun Fie
Dorasamy, Magiswary A/P
description Mobile banking has the benefits of internet banking, in which the customer can access bank services over an internet connection anytime and anywhere. Millennials in Malaysia’s business environment are an enormous segment of the Malaysian population, and they are moving to take their places in the middle and high levels of their companies’ managerial governance pyramid these days and in the near future. This study examines the question, “What are the main factors that may influence mobile banking use (MBU) and the intention to use mobile banking (IU) among millenial consumers in Malaysia?”. The determining factors of UTAUT, performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), habit (Ha), perceived risk (PDR), and interface design quality (IDQ) were tested in this study. Method: SPSS and PLS-SEM are employed on a collected sample of 504 respondents of Millennials in Malaysia using a well-defined questionnaire to carry out all statistical analyses of this study. Result: The study model can explain 55.3% of the variance of mobile banking use (MBU) and 60.3% of the intention to use mobile banking (IU). In this study, all the relations of the model are significant, except the relation between price value (PV) and the intention to use mobile banking. For both IU and MBU in the model, the factor “Interface design quality” (IDQ) has the highest impact. In contrast, the factor “Perceived Risk” (PDR) has the lowest impact. The findings of this study extend the knowledge on mobile banking as an approach of financial technology implementation, from which mobile banking providers and interface designers can provide new potential solutions to expand the usage of mobile banking services in Malaysia. This study proposed a modified model with eleven variables. While the designed model was evaluated successfully and explained 55% of actual use and 60% of intentional use, the remaining portion (45% for actual use and 40% for intended usage) exposes yet other factors that are still unrevealed. Therefore, further studies are required to assess the design in various other financial sectors, and further studies are invited to conduct qualitative research to reveal other variables for a better understanding of the intention and actual use of mobile banking.
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Millennials in Malaysia’s business environment are an enormous segment of the Malaysian population, and they are moving to take their places in the middle and high levels of their companies’ managerial governance pyramid these days and in the near future. This study examines the question, “What are the main factors that may influence mobile banking use (MBU) and the intention to use mobile banking (IU) among millenial consumers in Malaysia?”. The determining factors of UTAUT, performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), habit (Ha), perceived risk (PDR), and interface design quality (IDQ) were tested in this study. Method: SPSS and PLS-SEM are employed on a collected sample of 504 respondents of Millennials in Malaysia using a well-defined questionnaire to carry out all statistical analyses of this study. Result: The study model can explain 55.3% of the variance of mobile banking use (MBU) and 60.3% of the intention to use mobile banking (IU). In this study, all the relations of the model are significant, except the relation between price value (PV) and the intention to use mobile banking. For both IU and MBU in the model, the factor “Interface design quality” (IDQ) has the highest impact. In contrast, the factor “Perceived Risk” (PDR) has the lowest impact. The findings of this study extend the knowledge on mobile banking as an approach of financial technology implementation, from which mobile banking providers and interface designers can provide new potential solutions to expand the usage of mobile banking services in Malaysia. This study proposed a modified model with eleven variables. While the designed model was evaluated successfully and explained 55% of actual use and 60% of intentional use, the remaining portion (45% for actual use and 40% for intended usage) exposes yet other factors that are still unrevealed. Therefore, further studies are required to assess the design in various other financial sectors, and further studies are invited to conduct qualitative research to reveal other variables for a better understanding of the intention and actual use of mobile banking.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su15108216</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Banks (Finance) ; Cellular telephones ; Customer services ; Design ; Design factors ; Echo boom generation ; Expectancy ; Home banking services ; Innovations ; Mobile commerce ; Product development ; Qualitative research ; Risk factors ; Risk perception ; Smartphones ; Statistical analysis ; Sustainability</subject><ispartof>Sustainability, 2023-05, Vol.15 (10), p.8216</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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source MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals
subjects Banks (Finance)
Cellular telephones
Customer services
Design
Design factors
Echo boom generation
Expectancy
Home banking services
Innovations
Mobile commerce
Product development
Qualitative research
Risk factors
Risk perception
Smartphones
Statistical analysis
Sustainability
title Determinant of M-Banking Usage and Adoption among Millennials
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