Acceptance of mobile banking in Islamic banks: evidence from modified UTAUT model

Abstract

Purpose The purpose of this study is to examine the factors which affect mobile banking (M-banking) acceptance in Islamic banks of Pakistan by using the modified unified theory of acceptance and use of technology (UTAUT) model. The performance expectancy, facilitating conditions, social influence, effort expectancy, perceived value, habit and hedonic motivation are taken as independent variables. Similarly, the intention to adopt M-banking is taken as the mediator, and actual usage is used as the dependent variable. Design/methodology/approach The data are collected by using the survey method, and the five-point Likert scale is used for this purpose. The statistical techniques applied to the dataset were confirmatory factor analysis and partial least square structure equation modeling. Findings The empirical evidence shows that all the variables except for social influence have a significant positive effect on the intention which results in actual usage. Practical implications This study will help the Islamic banks in boosting the M-banking growth and decision-makers in crafting those strategies that increase the M-banking acceptance. Originality/value This paper makes a unique contribution to the literature with reference to Pakistan, being a pioneering attempt to investigate the factors which affect M-banking acceptance in Islamic banks of Pakistan by using the modified UTAUT model.

A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator

“…In a way, Alam and Uddin [2] and Rajan and Baral [37] approved that effort expectancy results in the intention to use an ERP in developing countries' context. We also observe similar findings with studies in various contexts, such as e-learning [53], m-banking [59][60][61], ICT [54], internet use [51], animation and story-telling [56], etc. Henceforth, users will not use any technology if they believe that the perceived ease of use is in the bracket [53,62].…”

“…We also approve that the intention to use ERP significantly influences the actual use of ERP based on prior studies [2,37]. In line with documented findings of Alam and Uddin [2], Dwivedi, Rana, Jeyaraj, Clement and Williams [43], Raza, Shah and Ali [61], we can advance with theoretical and empirical observations that the impact of facilitating conditions on the intention to use ERP results in the actual use of ERP. Thus, the following hypothesis is developed: Hypothesis 7.…”

“…Studies showed mixed findings on the influence of facilitating conditions. Whereas studies excerpted that facilitating conditions impacts behavioral intention to use a technology [2,43,61], it is also documented that other streams of studies reported no significant influence of facilitating conditions on the intention to use a technology [47,48,66]. Arguably, from the essence of UTAUT, we posit that the availability of facilitating conditions accelerates intention to use of technology, particularly ERP [2].…”

Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model

“…Lin and Anol (2008) added online social support to understand its influence on the use of network information technology in Taiwan. Further, Raza et al. (2019) studied the factors which affect mobile banking (M-banking) acceptance in Islamic banks of Pakistan by using the modified unified theory of acceptance and use of technology (UTAUT) model.…”

Determinants of Mobile Accounting App Adoption by Micro, Small, and Medium Enterprise in Indonesia

“…Although the effect of facilitating conditions on the intention to adopt information technology is not hypothesized in the UTAUT, previous research has sought to understand the impact of promoting conditions on the intention to adopt the technology. In various types of information technology, such as studies that examined the adoption of mobile banking (Raza, Shah, & Ali, 2019); adoption of flight ticket booking (Jeon, Ali, & Lee, 2018); as well as mobile learning (Kumar & Bervell, 2019). The fifth hypothesis of this research is:…”