Mobile Banking Model

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TAM is a well-known model that helps to explain the adoption and use of technology (Sangle and Awasthi, 2010; Wessels and Drennan, 2010), as in our case mobile banking. Brought forward by Davis in 1989, it is based on Fishbein and Ajzen‟s theory of reasoned action (Sangle and Awasthi, 2011). Davis argues that the intention to use a particular technology is based on a persons behavioural intention which in turn is determined by two beliefs; perceived ease of use and perceived usefulness (Liu and Li, 2009; Sangle and Awasthi, 2011). However, Chong et al (2010) assert that using TAM solely does not sufficiently explain people‟s decision to adopt a technology and argue that TAM should rather be used as a base model which should be extended with…show more content…
Aldás-Manzano et al. (2012a) assert that perceived usefulness refers to the advantages that mobile banking offers and whether using a mobile phone is useful for performing financial transactions. Kleijnen et al. (2004) suggest that when acceptance grows, the intention to use these services will also automatically grow. According to Kim et al., (2003), an individual usually evaluates the consequences of his/her behaviour and consequently makes a choice based on the desirability of perceived usefulness. This argument is also supported by Luarn and Lin (2005) who suggest that perceived usefulness significantly impacts on the development of initial willingness to use M-banking. Hence, through the use of mobile banking, clients are able to conduct banking services anywhere and anytime by means of a mobile device, tablet or mobile phone (Dineshwar & Steven, 2013). It enables banking clients to perform a diverse range of financial services including checking account balances, linking of accounts, inter- and intra-transfer of funds, payment of bills, Internet purchases, and resetting of passwords (Agwu & Carter, 2014; Püschel, Mazzon & Hernandez, 2010).. In the context of mobile business service, researchers found that perceived usefulness is a vital factor determining the adoption of mobile service since users consider its benefits (Kleijnen et al., 2004; Luarn and Lin, 2005; Wang et.al, 2006). Consequently, the following hypothesis is
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