Abstract
Bitcoin, the world’s first completely decentralized digital currency, gradually attracts the interest of a large number of people all over the world. The study proposed an integrated research framework to discover the antecedents of behavioral intention to use cryptocurrencies, specifically Bitcoin, by extending the technology acceptance model (TAM) with perceived risk theory (PRT). Structural equation modeling approach using SmartPLS was employed to confirm validity of the instruments and test the hypothesized relationships based on data collected from a sample of 397 individuals, who are randomly selected among the people in the United States. The results indicated that perceived risk negatively predicted the behavioral intention to use Bitcoin. Whereas, social influence, perceived usefulness, perceived ease of use, and attitude positively predicted the behavioral intention. Implications of the findings and recommendations for further studies were discussed.
| Original language | English |
|---|---|
| Title of host publication | Studies in Computational Intelligence |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 105-120 |
| Number of pages | 16 |
| DOIs | |
| Publication status | Published - 2022 |
Publication series
| Name | Studies in Computational Intelligence |
|---|---|
| Volume | 1061 |
| ISSN (Print) | 1860-949X |
| ISSN (Electronic) | 1860-9503 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Bitcoin
- Cryptocurrencies
- Perceived risk theory
- Technology acceptance model
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