Exploring Influencing Factors for M-payment Apps Uses in the Indian Context (original) (raw)
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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.
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The flabbergasting decision of demonetisation paved out a smooth path for mobile payment systems which earlier was covered with roadblocks. The current study examines the impact of attitude towards mobile payment systems on intention to adopt mobile payment systems through the application of technology acceptance model. Exploratory and confirmatory factor analysis were applied to ascertain the relationship between observed variables and to evaluate research constructs, their validity and composite reliability in the present research. Structural equation modelling and path analysis was employed to assess the hypothesised relationships of the research model. The research study reveals that there exists a positive relationship among all the observed variables used in the study. Perceived ease of use and perceived usefulness have a positive impact on attitude to adopt mobile payment systems. Also, there exists a substantial positive relationship between attitude to adopt mobile payment systems and intention to adopt mobile payment systems.
FACTORS INFLUENCING THE USE OF M-COMMERCE: AN EXTENDED TECHNOLOGY ACCEPTANCE MODEL PERSPECTIVE
International Journal of Economics, Management and Accounting
The application of m-commerce activities among smartphone users in Malaysia has become one of the major challenges for companies involved in m-commerce. The present study aims at identifying the factors influencing m-commerce use in Malaysia. An extended Technology Acceptance Model (TAM) is employed. A total of 350 questionnaires were distributed among smartphone users in the Klang Valley area of Malaysia. Two-stage Structural Equation Modelling (SEM) was employed to test the model of the study. The findings of the study reveal that behavioral intention has a significant positive influence on m-commerce use. The findings further reveal that perceived usefulness, perceived enjoyment, and privacy and security have significant positive influence on behavioral intention. These findings will benefit stakeholders involved in m-commerce activities such as providers, retailers, brands, and consumers. In addition, academicians and students can also benefit from this study in the context of m-commerce use in Malaysia. JEL Classifications: M1, M150, M3
Petra International Journal of Business Studies
This study aims to determine the effect of perceived security and perceived enjoyment as moderated variable on intention to use mobile payment, either directly or through mediation of attitude towards use. The method used in this study is quantitative by spreading the questionnaires to 211 respondents of mobile payment application users both online and offline in Surabaya. The selection of this research sample used a judgment sampling technique with criteria determined by the researcher. The data was analyzed with Structural Equation Modeling (SEM), SmartPLS tools. The questionnaire collected was 192 questionnaires. The results show that perceived security and perceived enjoyment have a significant directly influence on intention to use and indirectly through mediating attitudes to use mobile payment. In addition, it was found that perceived enjoyment variable moderated the relationship between perceived security and attitudes to use but did not moderate the relationship between per...
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This study aims to identify factors that influence the intention of adopting a newly introduced mobile payment technology by proposing a conceptual framework which is based on the technology acceptance model (TAM). Data for the study were collected through online survey to 169 respondents. Data analysis was conducted by using Structural Equation Modeling (SEM) technique with LISREL. The results show user’s attitude plays a significant role in mediating the effects of both perceived usefulness and perceived trust on the intention to adopt a mobile payment technology. In contrary to previous studies, this study shows that perceived ease of use fails to bring significant effect on attitude. These results imply that providers of new digital technology should pay more attention on promoting the usefulness of their services. It is also important for the providers to take into account the element of trust in their services
Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach
Human Behavior and Emerging Technologies, 2023
The main aim of this research study is to examine the impact of five independent variables viz. performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation on behavioral intention to use mobile payment apps. This study is further aimed at investigating the influence of behavioral intention on the use behavior of mobile payment app users. This study strives to investigate the use behavior of people who have already used mobile payment apps like Google Pay, PhonePe, and PayTM previously for making payments for the products and services they have purchased from various sellers. The researchers used the UTAUT2 theory to examine the relationship between the independent and dependent variables mentioned above. The data was collected from 618 mobile payment app users from Vidarbha, M.S., India. Availability sampling and purposive sampling techniques were adopted for the final selection of the respondents. A structured questionnaire was designed by the researchers for collecting the required primary data. The six proposed hypotheses were tested by using SMART-PLS 3.3.5 software. The results indicated support for all six proposed hypotheses. The proposed model explained a substantial amount of variance in behavioral intention (R 2 = 71:8% and R 2 = 76:5%) in use behavior towards mobile payment apps explained by independent variables. Facilitating conditions exhibited the strongest effect on behavioral intention.
Understanding the adoption and usage of mobile payment services by using TAM3
International Journal of Business Information Systems, 2014
This study aims at introducing a modified Technology Acceptance Model 3 (TAM3) to investigate key factors that affect individuals' intention to adopt and use mobile payment (M-payment) in Jordan. It also helps merchandisers avoid spending thousands or even millions of dollars that, on investments, may have minimal and modest effect on whether or not the individuals tend actually to adopt and to use. To reach such ends, a questionnaire was distributed to collect data from 475 undergraduate university students by using a proportional stratified random sample, and analyzed by using a structural equation modeling (SEM). Results show that user's adoption and use of M-payment services can be anticipated from users' behavioral intentions, which are significantly affected by the following: perceived usefulness, perceived ease of use, subjective norm, image, output quality, self-efficacy, perceptions of external control, and playfulness. This study shows that there is a promising and bright future for M-payment services in Jordan as more than 62% of respondents said that they are willing to merchandise by using their mobile phones. He has a PhD in Management Information Systems. His research interests cover IT innovation acceptance and adoption, learning technology, e-business, mobile technology, knowledge management, e-government and m-commerce. He was awarded for his best effort in computer programming by Philadelphia University for the year 2004. AbedAlellah Mohammed Al-Mashqbah received his Master degree in Business Administration from Al al-Bayt University, Mafraq, Jordan. His research interests are information management and m-commerce.
Analyzing the determinants of intention to use the Mobile Payment Services
In light of unprecedented penetration of smartphones and technological advancements, innumerable opportunities have come up for the business organizations for offering the array of services to their consumers. Among other activities, purchase and payment transactions can be carried out seamlessly using smartphones with individual convenience. The smartphones have changed the way transactions were being done. This work attempts to highlight the state of digital transactions in India and study the determinants of intention to use the Mobile Payment Services offered by various financial institutions. The effect of performance requirement, social influence and perceived risk on behavioural intention was studied. It was found that provided the flexibility and convenience to do transactions from any where any time, there is a huge potential for mobile payment services.
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Money transfer through third-party mobile payment platforms has become common nowadays in western countries. While in developing countries, the adoption of mobile payment channels still at the infancy stage. The current study based on diffusion of innovation theory investigates the antecedents of intention to use mobile payment channels through trust's mediating role. Methodology: The survey method was used to collect data from the 250 consumers using the mobile payments services of JazzCash and Easypaisa in Pakistan. Partial least square structural equation modeling (PLS-SEM) technique employed to test the collected data statistically. Findings: Results found the significant impact of mobility, customization, and security on trust that intends to utilize mobilepayment channels. Implications: The current study's findings provide guidelines to the administration of mobile payment systems to improve security features, mobility, and customization that wins customers' trust and is inclined to use mobile payment platform.