Abstract
The paper focused on development of mobile banking adoption model depicting two phases of mobile banking adoption vis-à-vis reducing the resistance to adopt mobile banking and inducing the adoption of mobile banking. The paper has used integrated Technology Acceptance Model (TAM) as proposed by Gu et al. (2009), along with two other factors namely Trust and Relative Advantage to study mobile banking adoption behaviour and Resistance Model as proposed by Laukkanen & Kiviniemi (2010) adding relative disadvantage (negative relative advantage) as one more factor, to study the mobile banking resistance behaviour. The data has been collected using online as well as offline questionnaire from 633 respondents in India. The model of dual phase mobile banking adoption will raise an opportunity for increased use of mobile banking in India.
Highlights
The diversity of schemes introduced by Government of India, viz., Jan Dhan Accounts, Adhaar seeding and linking Mobile number with the bank account, have opened the doors for banks to get maximum advantage by introducing alternate delivery channels for banking services and mobile banking is the first priority of the banks among available alternative channels
Most of researchers have used Diffusion of Innovation (DOI), UTAUT, Technology Acceptance Model (TAM) and Trust extended TAM to found the factors significantly influencing the adoption behaviour for Mobile Banking, whereas some researchers developed their own models integrating the significant factors from prior studies and introducing some new factors in context of the attributes of their samples or culture or mind set of people belonging to the country in which they are conducting the study
The summary of demographic profile is given in the table below
Summary
The diversity of schemes introduced by Government of India, viz., Jan Dhan Accounts, Adhaar seeding and linking Mobile number with the bank account, have opened the doors for banks to get maximum advantage by introducing alternate delivery channels for banking services and mobile banking is the first priority of the banks among available alternative channels. The increasing number of wireless connections and relative low score of financial inclusion in India attracting the attention towards that segment of potential Mobile Banking users who are having mobiles but not mobile banking. Matching both the dimensions of our discussion namely need of Mobile Banking and increasing number of mobile users in India necessitated the research work in the field of Mobile Banking. There are various factors influencing adoption and resistance behaviour in relation to mobile Banking, all cannot be blindly search for, so to find out the perfect model representing both dimensions of Mobile Banking Behaviour the seminal literature has been searched
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