Does Previous Experience with the Unified Payments Interface (UPI) Affect the Usage of Central Bank Digital Currency (CBDC)? (original) (raw)
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2018
This study is to examine the factors that affect attitudes toward using and intention to use server-based or smartphone-based electronic money as a means of transaction. The factors to be analyzed are perceived usefulness, perceived ease of use, product knowledge, attitude, subjective norms and perceived behavioral control. This research uses combined model of technology acceptance model (TAM) and theory of planned behavior (TPB) with product knowledge as an additional variable. The research data was obtained by distributing questionnaires to 143 respondents. Partial Least Square Structural Equation Modeling (PLS-SEM) through SmartPLS software is used to analyze the data.The results show that attitudes toward using of smartphone-based electronic money is affected by perceived usefulness and perceived ease of use. Attitudes, subjective norms and perceived behavioral controls affect the intention to use smartphone-based e-money.Smartphone-based electronic money with the most recent sm...
https://www.ijrrjournal.com/IJRR\_Vol.9\_Issue.10\_Oct2022/IJRR-Abstract44.html, 2022
The Purpose of this study is to test and to analyze the effect of perceived usefulness, perceived ease-of-use. interpersonal influence, external influences, facility conditions, attitudes, subjective norms and perceived behavioural control on interest in using E-money with modifications of Decomposed Theory of Planned Behavior (DTPB) based on accounting system information. The sampling method used is a non-probability sampling method in the form of convenience sampling. This research was conducted on the behavioral interest in using e-money in Batu City with the determinants of the Decomposed theory of Planned Behavior (DTPB) model in 2022. Data was obtained through online questionnaires filled out by 100 active users of electronic money systems. The analysis method used is a Structural Equation Modeling/SEM with a Partial Least Square/PLS test tool. Empirical evidence shows that perceived usefulness has no significant effect on the attitude, perceived ease-of-use, interpersonal influence, external influence, facilitating condition, attitude, norm subjective, perceived control behaviour has significant effects on intention electronic money. E-money is a prepaid product or stored value where consumers can store funds or monetary value in an electronic device. E-money is recommended to provide an electronic payment system that can be used easily and usefully while at the same time being able to use these results as a reference on customer behaviour in using electronic money accounting-based payment systems. This study uses DTPB, which is modelled directly on actual use.
Jurnal Dinamika Manajemen, 2020
This study aims to predict the relationship of perceived usefulness, perceived ease of use, relative superiority, nature of transactions, and substitution to adoptions that affect intention to use of smart phone-based electronic money. The variables in this study are relative advantages, transaction nature, perceived usefulness, and perceived ease of use, substitution and adoption of electronic money. Data collection techniques in this study were conducted using a questionnaire with judgmental sampling method. The size of the respondents is 142 respondents. The data obtained is analyzed using Structural Equation Modeling (SEM). The results show that the six hypotheses are supported. The intention to use electronic money is also influenced by the adoption of electronic money. The adoption of electronic money is a significant predictor of intention to use electronic money. This study also provides limitations and suggestions for further research.
International Journal of Sustainable Development and Planning, 2023
India has experienced a significant digital payments transformation, driven by technological advancements, smartphone penetration, and government initiatives. This research explores the role of digital payments and mobile payments in India's Fintech revolution. Using an extended technology acceptance model, the study investigates user acceptance and perceived usability. The research identifies factors influencing perceived usefulness, behavioral intention, and actual usage of digital payments. Four constructs-Financial Literacy, Trust and Privacy, Service Quality, and Perceived Ease of Use-are analyzed using structural equation modeling. The results show the growing adoption of digital and mobile payment platforms like Paytm, Google Pay, and PhonePe, even among financially excluded segments. However, financial literacy does not directly impact digital payment acceptance. The study concludes that digital and mobile payments have disrupted the payment landscape in India, bringing efficiency and simplicity. Enhancing financial literacy is crucial for wider adoption. The findings contribute insights for businesses, policymakers, and users in leveraging the benefits of digital and mobile payments during India's Fintech revolution.
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.
Determinants of Customer intention to use Digital payment system
This paper is aimed at exploring the major antecedents of intention to use Electronic payment system among consumers in Chennai and to develop a conceptual framework for factors influencing Digital payment system. The Literature states that factors such as Perceived credibility, Perceived enjoyment, and Perceived benefits influence consumers' intention towards e-payment. In this study, data for multilinear regression analysis is gathered from respondents who use digital payments in Chennai. An online and direct survey-based questionnaire was prepared and circulated to 340 respondents, from it 323responses were fit for statistical analysis.Regression models with one endogeneous variable and more than one exogenous variables are called multilinear regression.The data that verify the assumptions were analysed with multiple regression. The multiple linear regression results reveal that Perceived enjoyment, Perceived credibility, Perceived benefits, implies significant influence on consumers' perception towards e-payment. The adoption of Digital payments by the massive number of respondents reveal that there is fillip for upcoming foster for such payment system. The competence lies in the continuity whether the customer expectations will be met which helps to enhance the adoption level and thereby the usage of digital payments not only pertains to the metros but also it can be widely spread to all places.
The Analysis of Factors That Influences People Intention to Use in Electronic Money
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
The development of banking service technology now allows us to do non-cash transactions using various media. Electronic money as one of the favorite media that is widely used by the public is now experiencing innovation with the new breakthrough of Electronic Money Flazz Gen 2 that can conduct transaction services via smartphones. With this latest innovation comes a question related to what factors that influence people using electronic money Flazz Gen 2. Therefore, quantitative research using a questionnaire conducted using the Technology Acceptance Model (TAM) analyzed using the Structural Equation Modeling – Partial Least Square (SEM-PLS) method assisted by software SmartPLS 3.0. The factors studied were taken from the variables in the Technology Acceptance Model (TAM) developed by Davis et.al (1996), namely perceived ease of use, perceived usefulness, and trust variables taken from Gefen's theory (2003). Keywords: TAM, Electronic Money, SEM-PLS,
WHAT DRIVES MOBILE PAYMENT USE BEHAVIOUR? AN EMPIRICAL ANALYSIS WITH UTAUT2 MODEL
The Seybold Report, 2023
The Indian payment industry is going through a transformation phase because of technological advancement, the growing use of smartphones, mobile internet, and the progressive regulatory environment. In the future years, the Indian economy will also witness different ways of moving money through digital modes with the use of mobile phones. This phenomenon helps individuals worldwide to perform their daily activities and payment transactions through mobile phones with greater flexibility, convenience, and ease. Therefore, the purpose of this study is to assess the primary factors affecting user behaviour toward mobile payment use amongst consumers in two cities of Gujarat with the application of the Unified Theory of Acceptance and Use of Technology (UTAUT2) theory. The research model and hypotheses were developed, and data was collected from 139 respondents from two cities in Gujarat through both online and in-person survey questionnaires. Following data gathering, data analysis and structural equation modelling were carried out. Finally, the study's findings revealed that effort expectation, habit, hedonic motivation, and facilitating or enabling conditions favourably influence the user behaviour of mobile payment users, however, the proposed relationship between performance expectancy, social influence, and price value with use behaviour was not established. In addition, the study also discusses implications from both management and theoretical perspectives.
Analysis of Intention to Use Electronic Money in Denpasar City: Tam Approach
Archives of Business Research
The rapid development of technology has penetrated various sectors of life in the community, one of which is in the banking sector. Electronic money has advantages and disadvantages that can affect the behavior of consumers to use it. This study aims to explain the usefulness and perceived consumers' use of electronic money products. The population of this research is infinite. The sampling method used in this study is nonprobability sampling. The sampling technique in this study was purposive sampling. The sample used was 108 respondents. The analytical tool used is Warp PLS 3.0 The results of this study are perceived usefulness and perceived ease of use has a positive and significant effect on using electronic money. Perceived usefulness have a positive and significant effect on the intention to use electronic money. The attitude of using electronic money has a positive and significant effect on the intention to use electronic money. Perceived ease of use have a positive and significant effect on the perceived the usefulness of electronic money. The practical implication of electronic money issuing companies can improve and improve in terms of the community's intention to use electronic money as a medium for future micropayment transactions. Factors that influence the intention to use in this study are perceived usefulness, perceived ease and attitude. Theoretical implications in this study to enrich the concept of consumer behavior in marketing, especially the results of previous research on the intention of using electronic money.
Journal of risk and financial management, 2022
The Indian retail industry has registered tremendous growth recently. The sudden emergence of Coronavirus Disease 2019 and the related measures that were taken by the authorities to curb the pandemic have compelled retailers and their consumers to transact using digital platforms. This study investigates the critical precursors to retailers' behavioral intention to use mobile platforms for their business transactions in the post-pandemic era. This study adopted a framework that combined the theory of planned behavior (TPB) and self-determination theory (SDT) to predict behavioral intentions. A hybrid approach combining partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) techniques was used to test and validate the proposed framework. Four hundred and ninety-six participants from different central Indian cities participated in the study. PLS-SEM results confirmed that the motivational factors (need satisfaction [NS] and need frustration [NF]) significantly influence the attitude (AT), subjective norms (SN), perceived behavioral control (PBC), and behavioral intention (BI). Furthermore, the findings also established the partial mediating effect of AT, SN, and PBC on the relationship between motivational construct (NS and NF) and BI. Finally, the relationship established by SEM was successfully validated by ANN in the existence of a nonlinear relationship in the data. The findings may help retail stakeholders to support retail owners in their pursuit to continue using mobile payment systems in the post-COVID-19 world.