Integrating Technology Acceptance Model And M-banking Adoption: A Conceptual Framework

Abstract

Even with the rapid expansion of information technology and M-banking services in India, M-banking adoption has not seen that tremendous growth. Still there has been a lot more potential market to connect with online banking services. "Presently M-banking services have seen a light growth of 13% in volume of transactions and value. The number of registered customers rose by 54 per cent to 251 million at end-March 2018 from 163 million at end-March 2017", as per the notifications issued in the Reserve Bank of India's (RBI) annual report 2017- 18 (Economic Times, 2018). M-banking can be regarded as a provision and accessibility to banking and financial transactions and services with the assistance of mobile communication devices (Sinha, 2011). M-banking has been developed as a new channel to the existing traditional channels of banking that provides reliable and cost efficient financial services anytime and anywhere. It has been observed that India has great potential for M-banking but very less customer base is registered as users of mobile banking. Finding the new m-banking customers may not be an easy task than retaining the existing one (Chul gu, 2009). Therefore, this current research focuses on the prominent factors influencing actual usage of m-banking services. The TAM ( Technology Acceptance Model) proposed by Davis (1989) modified to include customer's perceived risk, perceived compatibility and perceived trust has been used to analyze factors influencing intention to use and actual usage of m-banking services.