Document Type : Original Research

Authors

Department of Accountancy, College of Business Education, Dar es Salaam, Tanzania

Abstract

Cryptocurrencies are increasingly becoming more popular as cheaper, faster and more secure means of transferring money across the globe while offering diversification benefits to investors. This current study explores the effects of national culture on cryptocurrency adoption across 118 countries. We test how each cultural dimension from the Hofstede model affects cryptocurrency adoption. These are power distance, long-term orientation, uncertainty avoidance, individualism and masculinity. We subsequently assess the moderation effects of financial literacy on the linkage between national culture and cryptocurrency adoption. We employ analysis of variance (ANOVA) and stepwise regression estimations to probe into the magnitudes and significance of postulated relationships. Our results firstly indicate significant disparities in cryptocurrency adoption, but only between countries with high and low uncertainty avoidance. The stepwise regression results revealed a strong negative relationship between uncertainty avoidance and cryptocurrency adoption, with other cultural dimensions exhibiting insignificant effects. Moreover, countries with high uncertainty avoidance but whose adults are highly financially literate were seen to be less vulnerable to fears of uncertainties and risks when deciding to adopt cryptocurrencies. Our findings lay a foundation for further theory development and provide practical implications to cryptocurrency entrepreneurs, governments, users and businesses that accept payments in Bitcoin and other cryptocurrencies.

Keywords

Main Subjects

COPYRIGHTS

©2024 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

Adil, M., Singh, Y., & Ansari, Mohd. S. (2022). How financial literacy moderate the association between behaviour biases and investment decision? Asian Journal of Accounting Research, 7(1), 17–30. https://doi.org/10.1108/AJAR-09-2020-0086
Albastaki, Y. (2024). Assessing the perceived usability of an intelligent contact tracing app to prevent the spread of COVID-19 using SUS and TAM: Be aware Bahrain. Journal of Decision Systems, 33(2), 293–310. https://doi.org/10.1080/12460125.2022.2076299
Alhirz, H., & Sajeev, A. S. M. (2015). Do cultural dimensions differentiate ERP acceptance? A study in the context of Saudi Arabia. Information Technology & People, 28(1), 163–194. https://doi.org/10.1108/ITP-07-2013-0127
Almajali, D. A., Masa’Deh, R., & Dahalin, Z. M. d. (2022). Factors influencing the adoption of Cryptocurrency in Jordan: An application of the extended TRA model. Cogent Social Sciences, 8(1), 2103901. https://doi.org/10.1080/23311886.2022.2103901
Bagchi, K., Hart, P., & Peterson, M. F. (2004). National Culture and Information Technology Product Adoption. Journal of Global Information Technology Management, 7(4), 29–46. https://doi.org/10.1080/1097198X.2004.10856383
Bannier, C. E., & Neubert, M. (2016). Gender differences in financial risk taking: The role of financial literacy and risk tolerance. Economics Letters, 145, 130–135.
Bhimani, A., Hausken, K., & Arif, S. (2022). Do national development factors affect cryptocurrency adoption? Technological Forecasting and Social Change, 181, 121739. https://doi.org/10.1016/j.techfore.2022.121739
Bollinger, D., & Hofstede, G. (1987). Les différences culturelles dans filemanagement: Comment chaque pays gère-t-il ses hommes. Paris: Editions L· Organisation.
Dabbous, A., Merhej Sayegh, M., & Aoun Barakat, K. (2022). Understanding the adoption of cryptocurrencies for financial transactions within a high-risk context. The Journal of Risk Finance, 23(4), 349–367. https://doi.org/10.1108/JRF-10-2021-0169
Dhiaf, M. M., Khakan, N., Atayah, O. F., Marashdeh, H., & El Khoury, R. (2024). The role of FinTech for manufacturing efficiency and financial performance: In the era of industry 4.0. Journal of Decision Systems, 33(2), 220–241. https://doi.org/10.1080/12460125.2022.2094527
Fujiki, H. (2020). Who adopts crypto assets in Japan? Evidence from the 2019 financial literacy survey. Journal of the Japanese and International Economies, 58, 101107. https://doi.org/10.1016/j.jjie.2020.101107
Giudici, G., Milne, A., & Vinogradov, D. (2020). Cryptocurrencies: Market analysis and perspectives. Journal of Industrial and Business Economics, 47(1), 1–18. https://doi.org/10.1007/s40812-019-00138-6
Hermansson, C., & Jonsson, S. (2021). The impact of financial literacy and financial interest on risk tolerance. Journal of Behavioral and Experimental Finance, 29, 100450. https://doi.org/10.1016/j.jbef.2020.100450
Hofstede, G. (2001). Culture’s Consequences: Comparing Values, Behaviors, Institutions and Organizations Across Nations. SAGE.
Hofstede, G. (2008). Manual: Formulas for index calculation. URL: Http://Feweb. Uvt. Nl/Center/Hofstede/Manual. Html (Accessed October 7th, 2014).
Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations. McGraw-Hill.
Hofstede, G. J. (2001). Adoption of communicationtechnologies and national culture. Systemes d’information et Management, 6(3), 3.
Kethineni, S., & Cao, Y. (2020). The rise in popularity of cryptocurrency and associated criminal activity. International Criminal Justice Review, 30(3), 325–344.
Khatibi Bardsiri, V., Jawawi, D. N. A., Hashim, S. Z. M., & Khatibi, E. (2014). A flexible method to estimate the software development effort based on the classification of projects and localization of comparisons. Empirical Software Engineering, 19, 857–884.
Lee, S.-G., Trimi, S., & Kim, C. (2013). The impact of cultural differences on technology adoption. Journal of World Business, 48(1), 20–29. https://doi.org/10.1016/j.jwb.2012.06.003
Liu, A., Goni, O., & Mitha, A. (2022). Cryptocurrency in Africa. United Nations Development Program.
Matusitz, J., & Musambira, G. (2013). Power Distance, Uncertainty Avoidance, and Technology: Analyzing Hofstede’s Dimensions and Human Development Indicators. Journal of Technology in Human Services, 31(1), 42–60. https://doi.org/10.1080/15228835.2012.738561
Metallo, C., Agrifoglio, R., Lepore, L., & Landriani, L. (2022). Explaing users’ technology acceptance through national cultural values in the hospital context. BMC Health Services Research, 22(1), 84. https://doi.org/10.1186/s12913-022-07488-3
Nadeem, M. A., Liu, Z., Pitafi, A. H., Younis, A., & Xu, Y. (2021). Investigating the Adoption Factors of Cryptocurrencies—A Case of Bitcoin: Empirical Evidence From China. SAGE Open, 11(1), 215824402199870. https://doi.org/10.1177/2158244021998704
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system.
Özbilen, P. (2017). The impact of natural culture on new technology adoption by firms: A country level analysis. Int. J. Innov. Manag. Technol, 8, 299–305.
Saiedi, E., Broström, A., & Ruiz, F. (2021). Global drivers of cryptocurrency infrastructure adoption. Small Business Economics, 57(1), 353–406. https://doi.org/10.1007/s11187-019-00309-8
Salgado, C. M., Azevedo, C., Proença, H., & Vieira, S. M. (2016). Missing Data. In Mit Critical Data, Secondary Analysis of Electronic Health Records (pp. 143–162). Springer International Publishing. https://doi.org/10.1007/978-3-319-43742-2_13
Silhavy, R., Silhavy, P., & Prokopova, Z. (2017). Analysis and selection of a regression model for the Use Case Points method using a stepwise approach. Journal of Systems and Software, 125, 1–14. https://doi.org/10.1016/j.jss.2016.11.029
Soomro, B. A., Shah, N., & Abdelwahed, N. A. A. (2022). Intention to adopt cryptocurrency: A robust contribution of trust and the theory of planned behavior. Journal of Economic and Administrative Sciences. https://doi.org/10.1108/JEAS-10-2021-0204
Sousa, A., Calçada, E., Rodrigues, P., & Pinto Borges, A. (2022). Cryptocurrency adoption: A systematic literature review and bibliometric analysis. EuroMed Journal of Business, 17(3), 374–390. https://doi.org/10.1108/EMJB-01-2022-0003
Srite, M., & Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS Quarterly, 679–704.
Sukumaran, S., Siew Bee, T., & Wasiuzzaman, S. (2023). Investment in cryptocurrencies: A study of its adoption among Malaysian investors. Journal of Decision Systems, 32(4), 732–760. https://doi.org/10.1080/12460125.2022.2123086
Zhao, H., & Zhang, L. (2021). Financial literacy or investment experience: Which is more influential in cryptocurrency investment? International Journal of Bank Marketing, 39(7), 1208–1226. https://doi.org/10.1108/IJBM-11-2020-0552
Zheng, Y., Zhang, C., & Zhang, X. (2021). Chinese digital citizenship. In The Routledge Handbook of Chinese Citizenship (pp. 320–333). Routledge.