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An Empirical Study on Continuance Intention to Use Mobile Payment Applications in Goa, India


Affiliations
1 Goa Business School, Goa University, Goa, India
2 Telkom University, Bandung, Indonesia
     

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The aim of the study is to examine the factors influencing users’ continuance intention to adopt and use mobile payment applications, using the extended UTAUT2 model. The study was carried out using a structured questionnaire, among 203 users of mobile payment applications. To validate the proposed model, Structural Equation Modelling (SEM) technique was used. The result indicated that perceived trust (PT) is the strongest predictor of continuance intention to use mobile payment applications, followed by price saving (PS), habit (HB), social influence (SI), and hedonic motivation (HM). On the other hand, performance expectancy (PE), effort expectancy (EE), and facilitating condition (FC) do not influence the adoption of mobile payment applications. The UTAUT2 model with perceived trust was able to predict 69 per cent of variation in the users’ intention to use mobile payment applications on a regular basis. The service providers and developers of mobile payment applications must emphasise on improving the privacy and security of the user’s information. Moreover, developing appropriate strategies for encouraging the new users, along with motivating the existing users to continuously use mobile payment applications, will act as a unique selling proposition for the company.


Keywords

Mobile Payment Applications, Wallet, E-Payment, Continuance Intention, UTAUT2, Perceived Trust
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  • An Empirical Study on Continuance Intention to Use Mobile Payment Applications in Goa, India

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Authors

Jick Castanha
Goa Business School, Goa University, Goa, India
Gauri Shirodkar
Goa Business School, Goa University, Goa, India
Subhash K. B. Pillai
Goa Business School, Goa University, Goa, India
Indrawati
Telkom University, Bandung, Indonesia

Abstract


The aim of the study is to examine the factors influencing users’ continuance intention to adopt and use mobile payment applications, using the extended UTAUT2 model. The study was carried out using a structured questionnaire, among 203 users of mobile payment applications. To validate the proposed model, Structural Equation Modelling (SEM) technique was used. The result indicated that perceived trust (PT) is the strongest predictor of continuance intention to use mobile payment applications, followed by price saving (PS), habit (HB), social influence (SI), and hedonic motivation (HM). On the other hand, performance expectancy (PE), effort expectancy (EE), and facilitating condition (FC) do not influence the adoption of mobile payment applications. The UTAUT2 model with perceived trust was able to predict 69 per cent of variation in the users’ intention to use mobile payment applications on a regular basis. The service providers and developers of mobile payment applications must emphasise on improving the privacy and security of the user’s information. Moreover, developing appropriate strategies for encouraging the new users, along with motivating the existing users to continuously use mobile payment applications, will act as a unique selling proposition for the company.


Keywords


Mobile Payment Applications, Wallet, E-Payment, Continuance Intention, UTAUT2, Perceived Trust

References