An Analysis of Bitcoin Acceptance in Indonesia

Fergyanto E. Gunawan; Rizki Novendra

doi:10.21512/comtech.v8i4.3885

Authors

Fergyanto E. Gunawan Bina Nusantara University
Rizki Novendra Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v8i4.3885

Keywords:

Bitcoin, Unified Theory of Acceptance and Use of Technology (UTAUT), Indonesia, Cryptocurrency

Abstract

This research intended to understand the factors affecting the acceptance of Bitcoin technology in Indonesia. It adopted the model of Unified Theory of Acceptance and Use of Technology (UTAUT), which took into account four influencing factors. Those were performance expectancy, effort expectancy, social influence, and facilitating conditions. The factors of gender and age were assumed to moderate the relations between those four factors and use and behavioral intention. The empirical data for those factors were collected by questionnaires from 49 respondents. The statistical significance of the relationships was evaluated by multivariate regression analysis. The result is a model that matches the data with R2 = 0,678. It demonstrates a high level of fitness. The analysis suggests that the performance expectancy factor and the social influence factor greatly affect the behavioral intention to use Bitcoin with the values of t-statistic of 3,835 (p-value = 0,000) for the former factor and 1,948 (0,059) for the latter factor. However, the social influence factor has less profound effect on the behavioral intention.

Dimensions

Plum Analytics

Author Biographies

Fergyanto E. Gunawan, Bina Nusantara University

Binus Graduate Programs

Rizki Novendra, Bina Nusantara University

Binus Graduate Program

References

Abdulwahab, L., & Dahalin, Z. M. (2010). A conceptual model of Unified Theory of Acceptance and Use of Technology (UTAUT) modification with management effectiveness and program effectiveness in context of telecentre. African Scientist, 11(4), 267-

Androulaki, E., Karame, G. O., Roeschlin, M., Scherer, T., & Capkun, S. (2013). Evaluating user privacy in Bitcoin. In International Conference on Financial Cryptography and Data Security (pp. 34-51). Springer, Berlin, Heidelberg.

Bohr, J., & Bashir, M. (2014). Who uses Bitcoin? An exploration of the Bitcoin community. In 2014 Twelfth Annual International Conference on Privacy, Security and Trust (PST) (pp. 94-101). IEEE.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.

Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to examine faculty use of Learning Management Systems (LMSs) in higher education institutions. Journal of Online Learning & Teaching, 11(2), 210-

Feld, S., Schönfeld, M., & Werner, M. (2014). Analyzing the deployment of bitcoin’s p2p network under an AS-level perspective. Procedia Computer Science, 32, 1121-1126.

Fleder, M., Kester, M. S., & Pillai, S. (2015). Bitcoin transaction graph analysis. arXiv preprint arXiv:1502.01657.

Lungan, R. (2006). Aplikasi statistika dan hitung peluang. Yogyakarta: Graha Ilmu.

Moore, T., & Christin, N. (2013). Beware the middleman: Empirical analysis of Bitcoin-exchange risk. In International Conference on Financial Cryptography and Data Security (pp. 25-33). Springer.

Rogojanu, A., & Badea, L. (2014). The issue of competing currencies. Theoretical and Applied Economics, 21(1), 1-12.

Silinskyte, J. (2014). Understanding Bitcoin adoption: Unified Theory of Acceptance and Use of Technology (UTAUT) application (Master Thesis). University Leiden.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.