Perceived Risk of Users� Intention to Use Cryptocurrency in Malaysia: A Multi-analytic Approach

Cryptocurrency, as the primary successful implementation of blockchain technology, has revolutionized the financial industry. These decentralized digital currencies operate without a central authority, enabling users to conduct independent and efficient transactions for goods and services. By levera...

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Main Authors: Al-amri R., Al-shami S., Alkawsi G.
Other Authors: 57224896623
Format: Book chapter
Published: Springer Science and Business Media Deutschland GmbH 2024
Subjects:
ANN
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Institution: Universiti Tenaga Nasional
id my.uniten.dspace-34479
record_format dspace
spelling my.uniten.dspace-344792024-10-14T11:20:04Z Perceived Risk of Users� Intention to Use Cryptocurrency in Malaysia: A Multi-analytic Approach Al-amri R. Al-shami S. Alkawsi G. 57224896623 57422582100 57191982354 Adoption ANN Cryptocurrency Intention Malaysia Perceived risk UTAUT Cryptocurrency, as the primary successful implementation of blockchain technology, has revolutionized the financial industry. These decentralized digital currencies operate without a central authority, enabling users to conduct independent and efficient transactions for goods and services. By leveraging blockchain platforms, cryptocurrencies confirm the security and legitimacy of these transactions while keeping fees low. Despite its potential, the global acceptance of cryptocurrencies, including Malaysia, has not reached desired levels. This can be attributed to consumer concerns regarding perceived ease of use, perceived usefulness, social influence, and perceived risk. Considering these factors, this research aims to investigate the users� perceptions of accepting cryptocurrency applications from a risk perspective. The research utilises the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Perceived Risk Theory to establish and evaluate various hypotheses. The study involved a sample size of 496 individuals. The proposed model is validated via Structural Equation Modelling (SEM), and the data is utilised as inputs for an Artificial Neural Network (ANN) model to predict perceived risk factors. The outcomes show that Performance Expectancy, Effort Expectancy, Social Influence, Financial Risk, and Psychological Risk significantly influence the users� behavioral intention to use cryptocurrency in Malaysia from a risk perspective. � The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. Final 2024-10-14T03:20:04Z 2024-10-14T03:20:04Z 2023 Book chapter 10.1007/978-3-031-48397-4_13 2-s2.0-85180836065 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180836065&doi=10.1007%2f978-3-031-48397-4_13&partnerID=40&md5=39bbf85516c2adb36acd1fea3f7cfd4b https://irepository.uniten.edu.my/handle/123456789/34479 1128 245 272 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Adoption
ANN
Cryptocurrency
Intention
Malaysia
Perceived risk
UTAUT
spellingShingle Adoption
ANN
Cryptocurrency
Intention
Malaysia
Perceived risk
UTAUT
Al-amri R.
Al-shami S.
Alkawsi G.
Perceived Risk of Users� Intention to Use Cryptocurrency in Malaysia: A Multi-analytic Approach
description Cryptocurrency, as the primary successful implementation of blockchain technology, has revolutionized the financial industry. These decentralized digital currencies operate without a central authority, enabling users to conduct independent and efficient transactions for goods and services. By leveraging blockchain platforms, cryptocurrencies confirm the security and legitimacy of these transactions while keeping fees low. Despite its potential, the global acceptance of cryptocurrencies, including Malaysia, has not reached desired levels. This can be attributed to consumer concerns regarding perceived ease of use, perceived usefulness, social influence, and perceived risk. Considering these factors, this research aims to investigate the users� perceptions of accepting cryptocurrency applications from a risk perspective. The research utilises the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Perceived Risk Theory to establish and evaluate various hypotheses. The study involved a sample size of 496 individuals. The proposed model is validated via Structural Equation Modelling (SEM), and the data is utilised as inputs for an Artificial Neural Network (ANN) model to predict perceived risk factors. The outcomes show that Performance Expectancy, Effort Expectancy, Social Influence, Financial Risk, and Psychological Risk significantly influence the users� behavioral intention to use cryptocurrency in Malaysia from a risk perspective. � The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
author2 57224896623
author_facet 57224896623
Al-amri R.
Al-shami S.
Alkawsi G.
format Book chapter
author Al-amri R.
Al-shami S.
Alkawsi G.
author_sort Al-amri R.
title Perceived Risk of Users� Intention to Use Cryptocurrency in Malaysia: A Multi-analytic Approach
title_short Perceived Risk of Users� Intention to Use Cryptocurrency in Malaysia: A Multi-analytic Approach
title_full Perceived Risk of Users� Intention to Use Cryptocurrency in Malaysia: A Multi-analytic Approach
title_fullStr Perceived Risk of Users� Intention to Use Cryptocurrency in Malaysia: A Multi-analytic Approach
title_full_unstemmed Perceived Risk of Users� Intention to Use Cryptocurrency in Malaysia: A Multi-analytic Approach
title_sort perceived risk of users� intention to use cryptocurrency in malaysia: a multi-analytic approach
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2024
_version_ 1814060099336929280