A Study of Determining Factors Influencing the Intention of Cryptocurrency Investors Using UTAUT 2 Approach

  • Ladia Puspanegara Institut Pertanian Bogor, Bogor, Indonesia
  • Jono M. Munandar Institut Pertanian Bogor, Bogor, Indonesia
  • Bagus Sartono Institut Pertanian Bogor, Bogor, Indonesia
Keywords: Behavioral Intention, Cryptocurrency, Perceived Risk, UTAUT 2

Abstract

In the past few years, the Indonesian cryptocurrency market has experienced significant growth, reflecting the country's increasing popularity and adoption of cryptocurrencies. This study aims to identify the factors that influence consumer behavior in adopting cryptocurrency technology, utilizing the unified theory of acceptance and use of Technology (UTAUT 2) model as the theoretical framework. This study proposes the utilization of UTAUT 2 due to its robustness and enhanced explanatory capability compared to the original UTAUT model. The UTAUT 2 model is expanded by incorporating perceived risk. This study involved 248 respondents who are cryptocurrency users from the Indonesian cryptocurrency community on the Facebook and Telegram platforms. The sampling method used was purposive sampling by distributing questionnaires using online forms and Google Forms.“The data were analyzed using two methods,“descriptive statistical analysis and SEM (Structural Equation Modeling).”The research findings indicate that several variables such as price value, social influence, hedonic motivation, performance expectancy, effort expectancy, and facilitating conditions have a positive and significant influence on BI (Behavioral Intention).”Additionally, the perceived risk variable has a negative and significant influence on behavioral intention.

Downloads

Download data is not yet available.

References

Abbasi, G. A., Tiew, L. Y., Tang, J., Goh, Y.-N., & Thurasamy, R. (2020). The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis. Plos One, 16(3). doi.org/10.1371/journal.pone.0247582 M.

Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by jordanian bank customers: extending UTAUT2 with trust. International Journal of Information Management, 37(3):99-110. doi.org/10.1016/j.ijinfomgt.2017.01.002.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40:125-138. doi.org/10.1016/j.jretconser.2017.08.026.

Arias-Oliva, M., Andrés-Sánchez, J., & Pelegrín-Borondo, P. (2021). Fuzzy Set Qualitative Comparative Analysis of Factors Influencing the Use of Cryptocurrencies in Spanish Households. MDPI, 9(4):1-19. doi.org/10.3390/math9040324.

Arias, O. M., Pelegrin, B. J., & Matias, C. G. (2019). Variables Influencing Cryptocurrency Use: A Technology Acceptance Model in Spain. Frontiers in Psychology, 10(475). doi.org/10.3389/fpsyg.2019.00475.

Baptista, G., & Oliveira, T. (2017). Why so serious? Gamification impact in the acceptance of mobile banking services. Internet Research, 27(1):118–139. doi:10.1108/IntR-10-2015-0295.

Bloomberg, J. (2017, Desember 28). Using Bitcoin or Other Cryptocurrency to Commit Crimes? Law Enforcement Is onto You. Retrieved from https://www.forbes.com/ sites/jasonbloomberg/2017/12/28/using- bitcoin- or- other- cryptocurrency- to- commit- crimes- law-enforcement- is- onto- you

Chu, T.-H., Chao, C.-M., & Chen, D.-F. (2022). Developing an Extended Theory of UTAUT 2 Model to Explore Factors Influencing Taiwanese Consumer Adoption of Intelligent Elevators. Taichung. Sage Journals Home. 12(4). https://doi.org/10.1177/215824402211422

Fauz, A., Widodo, T., & Djatmiko, T. (2018). Pengaruh Behavioral Intention Terhadap Use Behavior Pada Penggunaan Aplikasi Transportasi Online (studi Kasus Pada Pengguna Go-jek Dan Grab Di Kalangan Mahasiswa Telkom University ). EProceedings of Management, 5(2): 1790-1796.

Gao, X., Clark, G. D., & Lindqvist, J. (2016). Of Two Minds, Multiple Addresses, and One Ledger: Characterizing Opinions, Knowledge, and Perceptions of Bitcoin Across Users and Non-Users. the Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. hlm 1656-1668. doi:10.1145/2858036.2858049). California: Association for Computing Machinery.

Gunawan, I., Redi, A. A., & Maghfiroh, M. (2022). Determinants of Customer Intentions to Use Electric Vehicle in Indonesia: An Integrated Model Analysis. MDPI, 14 (4): DOI https://doi.org/10.3390/su14041972.

Hair, J., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. emeraldinsight, 26(2):106-121. doi.org/10.1108/EBR-10-2013-0128.

Hasan, Z. E., Ayub, H., Ellahi, A., & Saleem, M. (2022). A Moderated Mediation Model of Factors Influencing Intention to Adopt Cryptocurrency among University Students. Human Behavior and Emerging Technologies, 1:1-14. doi.org/10.1155/2022/9718920.

Imtiaz, S. (2018). The studies of Unified Theory of Acceptance and Use of Technology (UTAUT) in M-commerce Context. International Journal of Information Communication Technology and Digital Convergence, 3(1):42-56.

Isbahi, M. B., Zuana, M. M. M. ., & Mariana, E. R. . (2022). The Technology Strategy in Website Communication Media in Improving Business Activities. Majapahit Journal of Islamic Finance and Management, 1(2), 126–138. https://doi.org/10.31538/mjifm.v1i2.17

Kim, D. J., Ferrin, D. L., & Rao, H. (2007). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2):544-564. doi.org/10.1016/j.dss.2007.07.001.

Kuncoro, T. C., Suyadi, I., & Al Musadieq, M. (2019). Peran Inovativeness sebagai Variabel Moderator Model UTAUT Pada Aplikasi Lembur Berbasis Android. Jurnal Profit, 13(1), 70-79. doi.org/10.21776/ub.profit.2019.013.01.8.

Lai, P. C. (2017). The Literature Review Of Technology Adoption Models And Theories For The Novelty Technology. Journal of Information Systems and Technology Management, 14(1), 21-38. doi:10.4301/s1807-17752017000100002.

Maese, V. A., Avery, A. W., Naftalis, B. A., Wink, S. P., & Valdez, Y. D. (2016). Cryptocurrency: A primer. The Banking Law Journal, hlm 468-471.

Manaf, N. R., & Ariyanti, M. (2017). Exploring Key Factors On Technology Acceptance Of Mobile Payment Users In Indonesia Using Modified Unified Theory Of Acceptance And Use Of Technology (Utaut) Model Use Case: Abc Easy Tap. International Journal of Management and Applied Science, 3(1):40-44.

Mensha, I., & Mwakapesa, D. (2022). The Drivers of the Behavioral Adoption Intention of BITCOIN Payment from the Perspective of Chinese Citizens. Hindawi, 17: https://doi.org/10.1155/2022/7373658

Momani, A. M. (2020). The Unified Theory of Acceptance and Use of Technology: A New Approach in Technology Acceptance. International Journal of Sociotechnology and Knowledge Development, 12(3), 79-98. DOI:10.4018/IJSKD.2020070105.

Nakamoto, S. (2009). Bitcoin: A Peer-to-Peer Electronic Cash System. bitcoin.org.

Raman, A., & Don, Y. (2013). Preservice Teachers’ Acceptance of Learning Management Software: An Application of the UTAUT2 Model. International Education Studies, (6)7: 157-164.

Sajidin, S. (2021). Legalitas Penggunaan Cryptocurrency Sebagai Alat Pembayaran Di Indonesia. Depok: Arena Hukum.

Taherdoost, H. (2017). A Review of Technology Acceptance and Adoptions Models and Theories. International Conference Interdisciplinarity in Engineering, 22:960-967. doi.org/10.1016/j.promfg.2018.03.137.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptence of Information Technology: Toward A Unified View. MIS Quarterly, 27(3), 425-478. doi.org/10.2307/30036540.

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1):157-178. DOI:10.2307/41410412.

Yeong, Y. c., Kalid, K. S., & Sugatha, S. K. (2019). Cryptocurrency Acceptance: A Case of Malaysia. ICRAET-18), 26:28-38. DOI: 10.35940/ijeat.E1004.0585C19.

Published
2025-01-22
How to Cite
Puspanegara, L., Munandar, J., & Sartono, B. (2025). A Study of Determining Factors Influencing the Intention of Cryptocurrency Investors Using UTAUT 2 Approach. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 7(3), 6886-6903. https://doi.org/10.31538/iijse.v7i3.5416