Journal ArticleDOI
Predicting FinTech innovation adoption in South Africa: the case of cryptocurrency
TLDR
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.Abstract:
Financial technology innovation within the developed world is driving financial markets, yet its adoption is lagging among consumers in emerging markets. At the same time, most African economies continue to be at the tail end of global financial innovations adoption. Given lagging consumer adoption of cryptocurrency in South Africa, the purpose of this paper is to apply the theory of planned behaviour (TPB) to predict behavioural intention to adopt cryptocurrency.,A survey instrument based on the TPB was used to collect quantitative data for predicting adoption from adult distance students at the Mancosa, Cape Town campus. For data analysis, the two-step structural equation modelling approach was used.,The findings indicate that attitude and perceived behavioural control positively impact the intention to adopt cryptocurrency. Subjective norm showed a negative non-significant influence. Overall, the results of the study show that the model has a good model fit and can be used to explain the theory.,The results of this study may not be generalisable to the wider population as it is only based on a cross-sectional study of a sample of adult students at a single institute in South Africa.,The contribution of this paper is threefold: it is one of a few studies on the behavioural intention to adopt cryptocurrency in South Africa using the TPB model, it contributes towards the use of predictive behavioural economics models in understanding consumer behaviour critical to accelerating the adoption of financial innovations, and the results of the study also inform behaviour change strategies that can be applied by practitioners or policymakers to improve adoption. Studies of this nature may lead to the development of financial innovation in emerging markets through a nuanced understanding of consumer behaviour.read more
Citations
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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 ArticleDOI
Determinants of Behavioral Intentions to Use Islamic Financial Technology: An Empirical Assessment
TL;DR: In this paper , the antecedents/determinants of behavioral intentions toward the utilization of Islamic financial technology for Middle Eastern customers were examined, and the results demonstrate that the independent variables shown in the UTAUT model have a significant impact on the behavior to adopt Islamic financial technologies.
Journal ArticleDOI
Fuzzy set qualitative comparative analysis of factors influencing the use of cryptocurrencies in spanish households
Mario Arias-Oliva,J. de Andrés-Sánchez,Jorge Pelegrín-Borondo,Jorge Pelegrín-Borondo,Jorge Pelegrín-Borondo +4 more
TL;DR: In this article, the authors applied a consumer-behavior focus and so-called fuzzy set Qualitative Comparative Analysis (fsQCA) to assess the variables influencing the expansion of cryptocurrency (crypto for short) use in households.
Journal ArticleDOI
Perceptions towards Cryptocurrency Adoption: A case of Saudi Arabian Citizens
Saad Alaklabi,Kyeong Kang +1 more
TL;DR: The global financial market is influenced by relatively new technologies such as cryptocurrencies; namely Bitcoin, Ethereum, Litecoin, and others as discussed by the authors, which can have a potentially large impact on society and the economy.
Journal ArticleDOI
Using cryptocurrencies and transactions in medical tourism
TL;DR: In this paper, the authors examined the use of cryptocurrencies and transactions in medical tourism and discussed how this use provides advantages to healthcare institutions and states that provide medical tourism services, and provided a piece of initial empirical evidence on the contribution of using cryptocurrencies.
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.
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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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Structural equation modeling in practice: a review and recommended two-step approach
TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
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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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User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.