scholarly journals Crypto Currency Cognizance: A New Entrant in Financial Heaven

2021 ◽  
Vol 4 (2) ◽  
pp. 15
Author(s):  
Sarwat Liaqut ◽  
Ammar Siddiqui
Keyword(s):  
Behavioral Intention ◽  
Financial Literacy ◽  
Perceived Risk ◽  
Related Services ◽  
Online Transactions ◽  
Crypto Currency ◽  
Block Chain ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
The Impact

Cryptocurrency used an online ledger with highly strong cryptography to secure online transactions. There are multiple cryptocurrencies traded publically that imparts an important role on the behavioral intention of users. The disruption in the economy of the world has provided some opportunities for the development of virtual money or cryptocurrencies so that financial crises of individuals can be removed. The study adapted Theory of Acceptance Model (TAM) that explains the factor that effect behavioral intention of the users of cryptocurrency. The data was collected through survey questionnaire from 177 participants to measure the impact of cryptocurrency on the behavioral intention of users. The findings of this study revealed that multiple factors such as social influence, facilitating conditions, financial literacy, and perceived risk of cryptocurrency imparts an important role on the behavioral intention of individuals to use cryptocurrencies. Moreover the findings will propose numerous methods to function with a greater chance of success in the block chain-related services and cryptocurrencies markets.

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.

The Use of Modified Unified Theory of Acceptance and Use of Technology to Predict the Behavioural Intention Toward Website

2014 ◽  
Vol 568-570 ◽  
pp. 1586-1592 ◽  
Author(s):  
Indrawati
Keyword(s):  
Behavioral Intention ◽  
Educational Institution ◽  
Survey Method ◽  
Unified Theory ◽  
Key Factors ◽  
Utaut Model ◽  
Use Of Technology ◽  
Stake Holder ◽  
Facilitating Conditions ◽  
The Impact

The availability of website for an institution is very important, especially for an educational institution just like ABC University. The website can become a mean of communication from the institute to its stake holder: students, parents, industries, lecturers, administrators, and government or from the stakeholders to the institution. The availability of website is also important to increase the image of the institution, since there is university web ranking published by WeboMatrix. ABC University has already built its website and communicated, socialized as well the availability of its website to all students, lecturers, and administrator. So far the adoption of the websites by students, lecturers, and administrators especially by using the Modified Unified Theory of Acceptance and Use of Technology (UTAUT) model has not been explored. This lack of knowledge motivated the researcher to conduct this study. This study investigates the key factors that affect the behavioral intention and used behavior of customers toward the use of the website in ABC University Indonesia. The approach employed for this study is based on a modified unified theory of acceptance and use of technology (UTAUT) model. A survey method was employed to gather data from 310 respondents coming from the students, lecturers, administrator, and management. The collected data was analyzed using a quantitative investigation. The partial least squares (PLS) method was used to quantitatively evaluate the impact of the key constructs of the modified UTAUT model. This research clearly confirmed that modified UTAUT model which consists ofperformance expectancy, effort expectancy, social influence, facilitating conditions, andcontentcan be used to determinebehavioral intentionof consumers to use Website.

Using UTAUT 2 model to predict mobile app based shopping: evidences from India

2017 ◽  
Vol 9 (3) ◽  
pp. 248-264 ◽  
Author(s):  
Preeti Tak ◽  
Savita Panwar
Keyword(s):  
Behavioral Intention ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile App ◽  
Content Type ◽  
Use Of Technology ◽  
Usage Behavior ◽  
Managerial Implications ◽  
Facilitating Conditions ◽  
The Impact

Purpose The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology (UTAUT) 2 model for examining the impact of various constructs on behavioral intention and usage behavior of smart phone users toward the mobile shopping apps. Design/methodology/approach The constructs were tested and validated by means of a structured questionnaire which was administered on a sample of 350 mobile app shoppers in Delhi. AMOS 20 was used to analyze the collected data. Findings The study revealed that hedonic and habit are the strongest predictors of users’ behavioral intention to use mobile apps for shopping. Respondents are also influenced by the deals that are being offered by the marketers. The research also suggests that facilitating conditions help in usage of mobile apps for shopping. Research limitations/implications Managerial implications simplifying the interface which would encourage the less technologically advanced individuals to use mobile apps. Hedonic element of shopping through mobile apps should also be enhanced. Originality/value This study contributes to the research on intentions and usage behavior of consumer technologies by adopting UTAUT 2 model to explain the intentions and usage behavior toward mobile apps for shopping. The paper also measured the role of deals in influencing the consumers.

THE NEGATIVE EFFECT OF A PERCEIVED LACK OF AN INSTALLED BASE ON TECHNOLOGY ADOPTION

2015 ◽  
Vol 19 (02) ◽  
pp. 1550021 ◽  
Author(s):  
FIONA M. SCHWEITZER
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Solar Systems ◽  
Negative Effect ◽  
Technical Innovations ◽  
Acceptance Model ◽  
The Impact

In this paper, I analyse the impact that a perceived lack of an installed base has on the adoption of technological products. I use the Technology Acceptance Model (TAM), which considers perceived usefulness and ease-of-use as the central drivers of adoption and propose that the perceived lack of an installed base influences these two drivers. Based on cue utilisation theory, I further suggest that a perceived lack of an installed base can serve as an extrinsic cue of product quality deficiencies and difficulties with obtaining help and advice. In order to verify the supposed effect of a perceived lack of an installed base, I survey 162 households. The data shows that a perceived lack of an installed base of thermal solar systems (1) decreases their perceived usefulness and perceived ease-of-use and (2) acts as a mediator of the perceived risk. The study implies that managers launching technical innovations should develop strategies to influence consumers' perceptions of the current and the future installed base and communicate the development of the installed base to trigger adoption.

scholarly journals The Intentions to Wear Face Masks and the Differences in Preventive Behaviors between Urban and Rural Areas during COVID-19: An Analysis Based on the Technology Acceptance Model

2021 ◽  
Vol 18 (19) ◽  
pp. 9988
Author(s):  
Bo Zhang ◽  
Zhongjie Li ◽  
Lei Jiang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Positive Impact ◽  
Social Pressure ◽  
Perceived Usefulness ◽  
Extended Model ◽  
Social Image ◽  
Acceptance Model

The SARS-CoV-2 virus first emerged in late 2019 and has since spread quickly throughout China and become a global pandemic. As the situation with COVID-19 has evolved, wearing a face mask in public has grown commonplace. Using the technology acceptance model (TAM) as a foundation, this study introduces three new variables, namely, perceived risk, social pressure, and social image, to establish an extended model for investigating the factors that influence if residents wear masks. A total of 1200 questionnaires were distributed in China, from 1 February to 30 May 2020, through China’s largest online platform. The results indicate the following: 1. Residents’ positive attitude towards mask wearing promotes their behavioral intention to wear masks. 2. Perceived risk, social pressure, and social image have a positive impact on attitude towards mask wearing. 3. The intention to wear masks and attitude were both positively influenced by perceived usefulness. 4. The perceived usefulness is more influential in rural than urban groups, in terms of behavioral intention. This article proposes that public education on the facts related to the coronavirus, the threats posed by the COVID-19 pandemic to health, and the usefulness of face masks in preventing the transmission of COVID-19 could increase residents’ intention to wear a mask.

Radiation Oncologists' Perceptions of Adopting an AI-Assisted Contouring Technology (Preprint)

2021 ◽  
Author(s):  
Huiwen Zhai ◽  
Xin Yang ◽  
Jiaolong Xue ◽  
Christopher Lavender ◽  
Tiantian Ye ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Health Care Professionals ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Chinese Context ◽  
Utaut Model ◽  
Radiation Oncologists ◽  
Facilitating Conditions

BACKGROUND The AI assisted contouring system benefits radiation oncologists in terms of saving time and improving treatment accuracy. There is much hope and fear around such technologies, and it is the fear which can emanate as resistance for health care professionals, leading to the failure of AI projects. OBJECTIVE The objective of this research was to develop and test a model investigating the factors that drive radiation oncologists’ acceptance of the AI contouring technology in the Chinese context. METHODS A model of AI assisted contouring technology acceptance based on the UTAUT model adding variables of perceived risk and resistance was proposed in this study. The model included eight constructs with 29 questionnaire items and 307 respondents completed the questionnaires. Structural equation modeling (SEM) was conducted to evaluate item the model's path effects, significance and fitness. RESULTS The overall fitness indices for the model were evaluated showing the hypothesized model has a good fit to the data. Behavioral intention was significantly affected by performance expectancy (beta=.155; P=.014), social influence (beta=.365; P<.001), and facilitating conditions (beta=.459; P<.001). Effort expectancy (beta=.055; P=.450), perceived risk (beta=.-048; P=.348), and resistance bias (beta=–.020; P=.634) did not significantly affect behavioral intention. CONCLUSIONS The physicians' overall perception of the AI assist technology for radiation contouring were high. Technology resistance among Chinese radiation oncologists was low and not related to behavioral intention. Not all of the factors in Venkatesh's UTAUT model apply to physicians' AI technology adoption in the Chinese context.

scholarly journals DETERMINAN KESUKSESAN IMPLEMENTASI APLIKASI E-FAKTUR PAJAK

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Tri Ciptaningsih
Keyword(s):  
Key Words ◽  
Behavioral Intention ◽  
Tax Compliance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Directorate General ◽  
Acceptance Model ◽  
Theory Acceptance ◽  
The Impact

This article discuss about the impact of e-tax invoice as the new tax aplication launched by the Directorate General of Taxation . In this article, we will explain about several rules that related to the main topic and Theory Acceptance Model (TAM). Explanation includes several factors which indicated influencing taxpayer behavior in e-tax invoice usage. Those factors are perceived usefulness, perceived ease of use, perceived of Fairness and trust, Norms, attitude, and behavioral intention. Key Words: e-tax invoice, theory acceptance model (TAM), and Tax compliance.

scholarly journals Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

10.2196/16911 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e16911
Author(s):  
Gorkem Akdur ◽  
Mehmet Nafiz Aydin ◽  
Gizdem Akdur
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Health ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Intention To Use ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Background Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey’s most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. Objective The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. Methods We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. Results Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. Conclusions This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform’s dietitians to ensure that users’ interactions with the dietitians are based on trust for the platform and the brand.

scholarly journals A Study of Young Chinese Intentions to Purchase “Online Paid Knowledge”: An Extended Technological Acceptance Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Aiting Xu ◽  
Wei Li ◽  
Zhiyu Chen ◽  
Shouzhen Zeng ◽  
Llopis-Albert Carlos ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Perceived Risk ◽  
Purchase Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Technological Acceptance Model ◽  
Acceptance Model ◽  
The Impact

Under the catalysis of knowledge anxiety and cognitive surplus, knowledge sharing platforms has experienced rapid growth, which has accelerated the integration of knowledge resources online. As with all new successful and sustainable business products, the consumers will play an important role in the future development of online paid knowledge. Therefore, we constructed an extended technological acceptance model by examining factors that influence young Chinese people's willingness to pay for online paid knowledge. The study surveyed 405 young Chinese participants, in which the extended technological acceptance model was tested by using structural equation modeling. Findings indicate that perceived ease of use is positively associated with perceived usefulness and associated attitudes, whereas perceived usefulness and attitude is positively associated with purchase intention. Perceived risk and group conformity are found to indirectly affect consumers' willingness to pay. The study advances the current body of knowledge by empirically testing the impact of perceived risk and the role of cultural influence (group conformity) on purchasing intention. Finally, theoretical and practical implications are discussed.

scholarly journals Fintech Adoption in Non-Banking Sector: A Technology Acceptance Model Perspective

2020 ◽  
Vol 9 (1) ◽  
pp. 1330-1332
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Banking Sector ◽  
Vital Role ◽  
Disruptive Technology ◽  
Confirmatory Factor ◽  
Acceptance Model ◽  
The Impact ◽  
Financial Technology

Fintech or financial technology originated in India as a fairly young sector. Non-banking financial companies (NBFCs) in India performs a vital role in meeting the monetary needs of the individuals and businesses and are now more concentrated on developing disruptive technology-driven solutions that enable the smooth creation, launch, deployment and execution of customized products and services. In this scenario, this study tries to understand the Fintech adoption behaviour of customers of NBFCs. It also aims to understand important demographic trends in Fintech adoption behaviour. The research is basically centered on the Technology Acceptance Model, which combines brand and service trust in order to explain the impact on behavioral intention. This study is undertaken as an exploratory study among the customers of NBFCs in Kerala during a period of three months in 2019. Using Confirmatory Factor Analysis, it’s found that the model is a good fit and hypothesis path analysis proved that all variables that were considered affect behavioral intention positively. It is also found some demographic factors embracing Fintech.

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