Spelling suggestions: "subject:"adoption off mobile banking"" "subject:"adoption oof mobile banking""
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Factors influencing the adoption of mobile banking services at the Bottom of the Pyramid in South AfricaMasinge, Khumbula 15 May 2011 (has links)
With the convergence of banking services and mobile technologies, users are able to conduct banking services at any place and at any time through mobile banking (Gu, Lee&Suh, 2009). This research examines the factors influencing the adoption of mobile banking by the Bottom of the Pyramid (BOP) in South Africa, with a special focus on trust, perceived cost and perceived risk including the facets of perceived risks: performance risk, security/privacy risk, time risk, social risk and financial risk. The research model includes the original variables of extended technology acceptance model (TAM2) (Venkatesh&Davis, 2000). Data from this study was collected through a physical hardcopy survey in townships around Gauteng. The research has found that customers in the BOP will consider adopting mobile banking as long as it is perceived to be useful and perceived to be easy to use. But the most critical factor for the customer is cost; the service should be affordable. Furthermore, the mobile banking service providers, both the banks and mobile network providers, should be trusted. Trust was found to be significantly negatively correlated to perceived risk. Thus, trust plays a role in risk mitigation and in enhancing customer loyalty. Copyright / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted
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An integrated model for m-banking adoption in Saudi ArabiaBaabdullah, A.M., Alalwan, A.A., Rana, Nripendra P., Patil, P., Dwivedi, Y.K. 25 October 2019 (has links)
Yes / Purpose
The purpose of this paper is to identify and examine the most important factors that could predict the Saudi customer’s continued intention towards adoption of mobile banking.
Design/methodology/approach
The proposed conceptual model was based on the technology acceptance model (TAM) and task-technology fit (TTF) model. This is also expanded by considering two additional factors: perceived privacy and perceived security. By using a self-administered questionnaire, the data were collected from a convenience sample of Saudi banking customers from different parts of Saudi Arabia.
Findings
The main results based on structural equation modelling analyses supported the impact of perceived privacy, perceived security, perceived usefulness and TTF on the customers’ continued intention to use mobile banking.
Research limitations/implications
The moderation influence of the demographic factors (i.e. age, gender, income level, educational level) was not tested. The data were also collected using a self-report questionnaire; however, it would be more accurate to utilise more statistics from the bank database about the users of m-banking.
Originality/value
This study represents a worthy attempt to test such novel technology (m-banking) in the KSA where there is a scarcity of literature. A considerable theoretical contribution was also made by integrating the TTF model with the TAM in addition to consider privacy and security in one single model. Moreover, considering both perceived privacy and security in the current model creates an accurate picture about the adoption of m-banking especially as there are a limited number of m-banking studies that have considered privacy and security alongside the TTF model and TAM in the same model.
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