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Open AccessJournal ArticleDOI

Variables Influencing Cryptocurrency Use: A Technology Acceptance Model in Spain.

TLDR
The key factors for the successful development of a cryptocurrency from a consumer-behavior perspective are analyzed and the performance expectancy for a given cryptocurrency was the most important factor for its success.
Abstract
The first commercial transaction with the first cryptocurrency in 2010 marked the start of a revolution in transactions. Blockchain and cryptocurrencies will dramatically transform how we do transactions, just as the Internet revolutionized how we communicate. Currently, more than 2,000 cryptocurrencies are quoted on the market, and many more are being launched in initial coin offerings for use as an exchange method in a specific business ecosystem or as rights to assets or liabilities. As an emerging fintech, cryptocurrencies open up many opportunities, but they also pose significant challenges and limitations. This paper analyzes the key factors for the successful development of a cryptocurrency from a consumer-behavior perspective. Using a technology acceptance theoretical framework, we test a model able to explain almost 85% of the intention to use cryptocurrencies. Surprisingly, risk was not a significant factor. This could be because most of the respondents considered operating with cryptocurrencies to be risky; the lack of variability in their responses to the questions about perceived risk would explain this lack of explanatory power. However, willingness to manage cryptocurrency risk could be a precondition for adoption. The performance expectancy for a given cryptocurrency was the most important factor for its success. The research was conducted in Spain with college-educated adults with basic knowledge of the Internet.

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Journal ArticleDOI

FinTech in COVID-19 and Beyond: What Factors Are Affecting Customers’ Choice of FinTech Applications?

Al nawayseh, +1 more
TL;DR: In this article, the role of using FinTech applications to build resilience during the COVID-19 pandemic was investigated, and it was found that perceived benefits and social norms significantly affect the intention to use Fintech applications.
Journal ArticleDOI

Predicting FinTech innovation adoption in South Africa: the case of cryptocurrency

TL;DR: In this paper, the authors applied the theory of planned behaviour (TPB) to predict behavioural intention to adopt cryptocurrency, and found that attitude and perceived behavioural control positively impact the intention to use cryptocurrency.
Journal ArticleDOI

The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis.

TL;DR: In this article, the authors examined whether the application of deep learning-based dual-stage Partial Least Square-Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) analysis enable better in-depth research results as compared to single-step PLS-Sem approach and to excavate factors which can predict behavioural intention to adopt cryptocurrency.
Journal Article

The Effect Of COVID-19 On Consumer Behaviour In Saudi Arabia: Switching From Brick And Mortar Stores To E-Commerce

TL;DR: In this article, the authors evaluated the factors that affect consumers' intention to adopt e-commerce during Coronavirus Disease 2019 (COVID-19) in Saudi Arabia and found that the factors examined in this study are perceived usefulness (PU), perceived ease of use (PEOU), subjective norms (SN), perceived behavioural control (PBC), perceived lack of alternatives, perceived risk, perceived punishable infractions, risk-taking propensity, perceived external pressure, and government support.
Journal ArticleDOI

Prioritizing intentions behind investment in cryptocurrency: a fuzzy analytical framework

TL;DR: The result indicates that “Social Influence (SI)” is the most influencing factor, while “Effort Expectancy (EE)’ is the least influencing factor considered by investors.
References
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Journal ArticleDOI

The theory of planned behavior

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.

Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
Journal ArticleDOI

Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Journal ArticleDOI

User acceptance of information technology: toward a unified view

TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.
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