What drives adoption intention of electric vehicles in India? An integrated UTAUT model with environmental concerns, perceived risk and government support

2021 ◽  
pp. 100730
Author(s):  
Nikunj Kumar Jain ◽  
Kalyan Bhaskar ◽  
Sourabh Jain
Keyword(s):  
Electric Vehicles ◽  
Perceived Risk ◽  
Government Support ◽  
Environmental Concerns ◽  
Utaut Model ◽  
Adoption Intention

scholarly journals Drivers of Mobile Payment Acceptance in China: An Empirical Investigation

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 384 ◽  
Author(s):  
Wei-Chuan Chen ◽  
Chien-Wen Chen ◽  
Wen-Kuo Chen
Keyword(s):  
Social Influence ◽  
Absorptive Capacity ◽  
Perceived Risk ◽  
Government Support ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Additional Value ◽  
The Impact ◽  
Adoption Intention

With the rapid development of mobile technologies in contemporary society, China has seen increased usage of the Internet and mobile devices. Thus, mobile payment is constantly being innovated and is highly valued in China. Although there have been many reports on the consumer adoption of mobile payments, there are few studies providing guidelines on examining mobile payment adoption in China. This study intends to explore the impact of the facilitating factors (perceived transaction convenience, compatibility, relative advantage, social influence), environmental factors (government support, additional value), inhibiting factors (perceived risk), and personal factors (absorptive capacity, affinity, personal innovation in IT (PIIT)) on adoption intention in China. A research model that reflects the characteristics of mobile payment services was developed and empirically tested by using structural equation modeling (SEM) on datasets consisting of 257 users through an online survey questionnaire in China. Our findings show that perceived transaction convenience, compatibility, relative advantage, government support, additional value, absorptive capacity, affinity, and PIIT all have a positive impact on adoption intention, while social influence has no significant impact on adoption intention, and perceived risk has a negative impact on adoption intention. In addition, the top three factors that influence adoption intentions are absorptive capacity, perceived transaction convenience, and additional value.

scholarly journals Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk

2021 ◽  
Vol 16 (5) ◽  
pp. 1893-1911
Author(s):  
Jianli Xie ◽  
Liying Ye ◽  
Wei Huang ◽  
Min Ye
Keyword(s):  
Perceived Risk ◽  
Perceived Value ◽  
Future Research ◽  
It Adoption ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Adoption Research ◽  
Adoption Intention ◽  
Core Construct

FinTech platforms are one of the most important elements in the rapidly digitized world’s economy. This study investigates the factors that affected individuals’ acceptance of FinTech services, especially on internet wealth management platforms. The current research extends the unified theory of acceptance and use of technology (UTAUT) published by MIS Quarterly with integrated financial consumption attributes (i.e., perceived value and perceived risk) alongside the core construct of UTAUT. Data were collected from an established survey company. The empirical results indicate that perceived value, perceived risk, and social influence are strongly related to individuals’ FinTech adoption intention, whereas performance expectancy, effort expectancy, and perceived risk affect individuals’ perceived value, which in turn influences adoption intention. The proposed FinTech adoption model could contribute to information technology (IT) adoption research by extending the UTAUT in which individuals’ performance expectancy and effort expectancy affect their adoption intention indirectly through perceived value. Finally, the implications of the proposed new model for future research and FinTech practice are discussed.

scholarly journals Studying the Moderating Effect of a Respondent’s Locality in M-commerce Adoption Intention

2019 ◽  
Vol 15 (29) ◽  
pp. 1-23
Author(s):  
Abhishek Tandon ◽  
Himanshu Sharma ◽  
Anu G. Aggarwal
Keyword(s):  
Rural Areas ◽  
Mobile Commerce ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Internet Technology ◽  
Utaut Model ◽  
Intention To Adopt ◽  
Rural And Urban ◽  
Adoption Intention

Introduction: The present research was conducted at the University of Delhi in 2018. Problem: With the increase in usage of internet technology through wireless devices, the relevance of m-commerce has amplified. In a developing country like India, the rural and urban population is not equally divided on the use of m-commerce and this demands a detailed study regarding this problem.  Objective: The study aims to determine the factors that influence the m-commerce adoption intention of customers and how the effect varies over rural and urban populations. Methodology: This study combines the TAM and UTAUT model to consider the determinants as perceived ease of use, perceived usefulness, perceived risk, perceived cost, social interaction, and facilitating conditions, taking the endogenous variable as intention to adopt m-commerce.     Results: The results of PLS-SEM accepted the hypotheses underlying the model and also validated the moderating role played by a respondent’s locality over the intention to adopt m-commerce. Conclusion: The proposed model was validated by using PLS-SEM approach on a sample size of 200 collected from the urban and rural areas of Delhi NCR. Moreover, the moderating effect of a respondent’s locality was observed over adoption intention. Originality: With the advancement in technological infrastructure and improvement in mobile data facilities, customers have shown enthusiasm towards making online transactions using their phones. The advantage of mobile commerce over computer based electronic commerce is its mobility. Extant research has shown interest in studying the adoption intention of mobile commerce, based on determinants from the TAM or UTAUT model or their combinations. This study combines both models to choose the determinants of mobile adoption intention.  Limitation: Further studies can be conducted by considering other combinations of determinants and extending the model to incorporate the loyalty measures.

Environmental concerns and switching toward electric vehicles: geographic and institutional perspectives

2020 ◽  
Vol 27 (32) ◽  
pp. 39774-39785 ◽  
Author(s):  
Aqsa Sajjad ◽  
Fahad Asmi ◽  
Jianxun Chu ◽  
Muhammad Azfar Anwar
Keyword(s):  
Electric Vehicles ◽  
Environmental Concerns

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.

US electric car rollout will hinge on public policy

2017 ◽  
Keyword(s):  
Electric Vehicles ◽  
Smart Grids ◽  
Autonomous Vehicles ◽  
Government Support ◽  
Power Network ◽  
Content Type ◽  
Us States ◽  
Electric Car ◽  
New Models ◽  
Oil Demand

Significance Electric vehicles (EVs) remain a tiny fraction of the overall auto fleet, but sales are growing thanks to falling costs, enticing new models and government support such as the EV tax credit. How quickly EVs take over the roads has implications for a host of industries, but especially for the future of oil demand. Oil producers are watching closely to see how quickly consumers take up EVs. Impacts Lithium, nickel and cobalt will see strong demand as EV production increases, putting supplies under pressure. More EVs will boost efforts to build ‘smart grids’ that integrate EV batteries into the power network. Democratic-controlled US states and cities will provide more generous EV support, leading to a patchy overall rollout. Autonomous vehicles are more likely to be electric-powered so their adoption rate will be material to overall EV demand.

System Dynamics Modeling for China's EV Development Strategy

2013 ◽  
Vol 378 ◽  
pp. 483-486
Author(s):  
Yu Ning Wang ◽  
Hui Ming Zeng ◽  
Bin Qing Tang ◽  
Bin Xiang Hu
Keyword(s):  
System Dynamics ◽  
Development Strategy ◽  
Electric Vehicles ◽  
Competitive Ability ◽  
Government Support ◽  
Market Demand ◽  
Dynamics Modeling ◽  
Dynamic Factors ◽  
Policy Suggestions

Due to mandatory emission reduction and rising oil prices electric vehicles are about to be introduced in mass markets. This paper presents a system dynamics model of Chinas development strategy of electric vehicle industry. The focus of the paper is to study the influence of four major dynamic factors government policies, technology innovation, market demand and competitive ability. It gives an overall scenario of the development and highlights the major problems faced by Chinese electric vehicles industry, and how SD modeling can be used for the analysis of the industry developing policy. The model has been used to simulate the influence of these dynamic factors for 20 years, and a serious of policy tests and some useful policy suggestions were put forward. The result suggested that government support will still play a key role in a long-term.

scholarly journals Influence of Perceived Risk of Blockchain Art Trading on User Attitude and Behavioral Intention

2021 ◽  
Vol 13 (23) ◽  
pp. 13470
Author(s):  
Pi-Hsia Liang ◽  
Yan-Ping Chi
Keyword(s):  
Perceived Risk ◽  
Behavioral Intentions ◽  
Government Support ◽  
Key Factors ◽  
Online Sales ◽  
Blockchain Technology ◽  
Trading Market ◽  
Sustainable Operation ◽  
User Attitudes ◽  
Technology Users

In the first half of 2020, the average sales volume of gallery operators declined due to the COVID-19 pandemic and art galleries faced a crisis relating to their sustainable operation. However, crypto art finance, which combines online sales with blockchain, is attracting a considerable amount of attention. Can the use of blockchain solve the problems encountered in today’s art trading market? Is it considered acceptable by participants in the art trading market? What factors affect the behavioral intentions of blockchain technology users? In this study, we discussed the relationship between perceived risks and the three external variables of trust, government support, and auction house initiative, as well as their impacts on user attitudes and behavioral intentions regarding blockchain. The results of this study verified key factors that will help to increase the use of blockchain and solve existing market issues. It will also promote the sustainable operation and development of art enterprises and the market.

scholarly journals Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 340 ◽  
Author(s):  
Zhongqing Hu ◽  
Shuai Ding ◽  
Shizheng Li ◽  
Luting Chen ◽  
Shanlin Yang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Financial Services ◽  
Latent Variables ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Government Support ◽  
Empirical Examination ◽  
Acceptance Model

Along with the development of Fintech, many scholars have studied how information technology is applied to financial services with a focus on extended methods for application. Few scholars have studied the influence mechanism behind the adoption of Fintech services. This paper proposes an improved technology acceptance model (TAM) that incorporates user innovativeness, government support, brand image, and perceived risk as determinants of trust to investigate how users adopt Fintech services. We designed a questionnaire, sent it to active customers of the Hefei Science and Technology Rural Commercial Bank, and obtained 387 eligible responses. We analyzed the data with a structural equation model (SEM) to test the hypotheses, including the relationships of all latent variables. The results reveal that users’ trust in Fintech services has a very significant influence on users’ attitudes for adoption. In addition, perceived ease of use and perceived risk does not affect users’ attitudes toward the adoption regarding Fintech services. This study contributes to the literature of the adoption of Fintech services by providing a more comprehensive view of the determinants of users’ attitudes by combining trust of Fintech services with TAM.

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