Mobile Payment Adoption: A Systematic Review of the UTAUT Model

2019 ◽  
Author(s):  
Karrar Al-Saedi ◽  
Mostafa Al-Emran ◽  
Eimad Abusham ◽  
Sahar A. El Rahman
Keyword(s):  
Systematic Review ◽  
Mobile Payment ◽  
Utaut Model

Impact of demonetization on diffusion of mobile payment service in India

2019 ◽  
Vol 16 (4) ◽  
pp. 472-497 ◽  
Author(s):  
Neharika Sobti
Keyword(s):  
Behavioral Intention ◽  
Perceived Risk ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Content Type ◽  
Utaut Model ◽  
Payment Services ◽  
Facilitating Conditions ◽  
The Impact

PurposeThe purpose of this paper is to explore the antecedents of the behavioral intention and adoption of mobile payment services like m-wallets and m-banking by users in India. This is done by examining the diffusion of mobile payment technology within an extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study attempts to extend the UTAUT model further by introducing three more constructs, namely- perceived cost, perceived risk and demonetization effect and analyzes the impact of demonetization that happened in India from November 8, 2016 to December 30, 2016 on the mobile payment service adoption process. Demonetization event is a case in point to assess whether forced adoption breaks the normal diffusion process or lends support to the same in the long term.Design/methodology/approachA survey was conducted in order to gauge the intention behind the adoption of mobile payment modes by users in India. The questionnaire was administered online solely and 880 responses were received within a period of 20 days from February 3, 2017, to February 23, 2017, using Google Forms as a medium. Usable responses were 640. The study adopted partial least square based structural equation modeling (PLS-SEM) technique to analyze the relation between latent variables: performance expectation, effort expectation, social influence, facilitating conditions, perceived cost, perceived risk, demonetization effect, behavioral intention and usage. For this purpose, SmartPLS3.0 software was used to create path diagrams and calculate estimate the significance of factor loadings using the bootstrap technique.FindingsThe key results indicates that behavioral intention, demonetization and facilitating conditions have a positive and significant impact on the adoption of mobile payment services in India. Overall, Model 3, which was extended UTAUT model, was observed to be a better model in explaining the antecedents of behavioral intention and usage. In addition to UTAUT antecedents, perceived cost and perceived risk proved to have additional explanatory power as antecedents of behavioral intention. Age acts as a moderating variable consistently across three models, implying that younger users give more importance to effortless interface of mobile payment services and get more influenced by peers and society that shapes their intention to use mobile payment services.Originality/valueIt is first of its kind attempt to assess the role of Demonetization in examining the antecedents of behavioral intention and adoption of mobile payment services by users in India under an extended UTAUT model. This study comprehensively examined the impact of forced adoption of mobile payment services by users in India in a natural setting provided by demonetization event that took place in India by conducting a primary survey right itself in the month of February, 2017 to get first hand response from the Indian users.

scholarly journals Acceptance of mobile payments by retailers using UTAUT model

2020 ◽  
Vol 19 (1) ◽  
pp. 149
Author(s):  
Nor Hapiza Mohd Ariffin ◽  
Fauziah Ahmad ◽  
Umar Mohd Haneef
Keyword(s):  
Mobile Payment ◽  
Retail Sector ◽  
Contributing Factors ◽  
Utaut Model ◽  
Mobile Payments ◽  
Perceived Security ◽  
Digital Payments ◽  
Facilitating Conditions ◽  
The Relationship ◽  
Communication Methods

<span>Mobile payment is a form of payment transaction processing where the payer utilizes mobile communication methods together with mobile devices to initiate, authorize or complete payment. Hence, with the huge increase in mobile device usage, the retail sector will be able to collect large volumes of data. Unfortunately, most Malaysians still do not make full use of digital payments or cashless payments. Consumers in South East Asia still tend to use money or bank cards, and companies have been "limitedly effective" in encouraging a cashless revolution. The objective of this study was to identify the acceptance of mobile payment by retailers, the factors that contribute to the acceptance of mobile payment and the relationship between the factors were also the aim of this research. Several factors were contributing to mobile payments such as performance expectancy, effort expectancy, social influence, facilitating conditions, habit, privacy, perceived security and intentions which was based on the UTAUT model. This study used questionnaires to collect data and the data analysis was carried out using SPSS software. Based on the analysis that has been conducted, it can be seen that all the hypotheses of this research have a significant relationship except for the relationship between privacy and intentions that has a negative linear relationship. It is hoped that this research will give values to retailers with an understanding of the contributing factors that affect their acceptance of mobile payment technology in the retailing business.</span>

scholarly journals Technology acceptance model for mobile payment adoption in urban India

2019 ◽  
Vol 8 (9) ◽  
pp. 614-619
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Mobile Payment ◽  
Payment Systems ◽  
Key Factors ◽  
Utaut Model ◽  
Mobile Payments ◽  
Urban India ◽  
Acceptance Model

Digital economy is driven by 02 key factors – First is the mobile payment ecosystem driven by banks, commercial institutions, NBFCs. Second one is the ability of the user to adopt and use the mobile payment systems offered by the above. This paper examines the mobile payment technology adoption levels amongst urban users in India with specific focus on Chennai. The authors focuses on user-centric factors and evaluated the adoption based on UTAUT model to understand the user acceptance of mobile payment systems in urban India. UTAUT provides a useful tool for mobile payment companies to assess the likelihood of success of innovations, feature additions in their applications and helps them understand the drivers of acceptance to proactively design their marketing and design interventions. Our study will support managers is improving the adoption rate of mobile payments amongst late adopters amongst urban users.

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