Technology Readiness and Cryptocurrency Adoption: PLS-SEM and Deep Learning Neural Network Analysis

【Author】 Alharbi, Abdullah; Sohaib, Osama

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】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.

【Keywords】Cryptocurrency; Artificial neural networks; Mathematical model; Numerical analysis; Reliability; Deep learning; Bitcoin; Cryptocurrency; PLS; SEM; neural network; technology readiness

【发表时间】2021

【收录时间】2022-01-02

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