Journal
IEEE ACCESS
Volume 9, Issue -, Pages 21388-21394Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3055785
Keywords
Cryptocurrency; Artificial neural networks; Mathematical model; Numerical analysis; Reliability; Deep learning; Bitcoin; Cryptocurrency; PLS; SEM; neural network; technology readiness
Categories
Funding
- Taif University through Taif University researchers supporting project, Taif University, Saudi Arabia [TURSP -2020/231]
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With the rise of cryptocurrencies, people's readiness for technology significantly impacts their adoption of cryptocurrencies. Through various analyses, it was found that technology readiness dimensions have meaningful relationships with the adoption of cryptocurrencies.
Today's world is increasingly dependent on technology directly or indirectly. The rapid technological advancement has impacted people to adopt the technology. As cryptocurrency recently commenced, few studies have attempted to investigate this use of technology. In this study, the technology readiness aspects- Optimism, Innovativeness, Discomfort, and Insecurity are used to understand the people's adoption of cryptocurrency. A multi-approach of Partial Least Squares- Structural Equation Modeling (PLS-SEM) and Deep learning Artificial Neural Network (ANN) analysis was performed. Deep learning Artificial Neural Network (ANN) analysis was performed to complement PLS-SEM findings and predict higher accuracy. This study shows that technology readiness dimensions - Optimism, Innovativeness, Discomfort, and Insecurity have meaningful relationships with cryptocurrency adoption.
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