A Causal Model of Factors Affecting Behavioral Intention to Use Cryptocurrency for Financial Transactions
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Abstract
The research aimed 1) to examine the causal relationship model of factors affecting the behavioral intention to use cryptocurrency as an electronic payment with empirical data and 2) to study the influence of trust, perceived ease of use, and perceived usefulness on the behavioral intention to use cryptocurrency. A questionnaire survey, random sample of 414 experienced cryptocurrency was selected using a Multi-stage random sampling. The descriptive statistics and structural equation model were analyzed and validated. It demonstrated that the model fit the statistics were /df = 2.797 GFI = 0.95 AGFI = 0.91 CFI = 0.99 SRMR = 0.018 RMSEA = 0.066. The results briefly stated as follows: 1) Perceived Ease of Use was positively and directly affected by trust with the coefficient of determination (R2) was equal to 81.00% 2) Perceived usefulness was positively both directly and indirectly affected by perceived ease of use and trust, respectively with the coefficient of determination (R2) was equal to 90.00% and 3) Behavioral Intention was positively and directly affected by perceived ease of use, perceived usefulness, and trust. Meanwhile, behavioral intention was indirectly and positively influenced by trust and perceived ease of use, respectively. Considering the total effect, behavioral intention had the highest positively affected by trust followed by perceived ease of use and perceived usefulness, respectively with the coefficient of determination (R2) was equal to 88.00%.
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References
Albayati, H., Kim, S. K., & Rho, J. J. (2020). Accepting financial transactions using blockchain technology and cryptocurrency:A customer perspective approach.Technology in Society, 62. https://doi.org/10.1016/j.techsoc.2020.101320
Alqahtani, M., & van Moorsal, A. (2018). Risk assessment methodology for EMV financial transaction systems. Electronic Notes in Theoretical Computer Science, 340, 137-150.
Aslanidis, N., Bariviera, A. F., & Lopez, O. G. (2022). The link between cryptocurrencies and Google Trends attention. Finance Research Letters, 47(Part A). https://doi.org/10.1016/j.frl.2021.102654
Awa, H. O., Nwibere, B. M., & Inyang, B. J. (2010). The uptake of electronic commerce by SMEs: A meta theoretical framework expanding the determining constructs of TAM and TOE frameworks. Journal of Global Business and Technology, 6(1), 1-27.
Azman, M., & Sharma, K. (2020). HCH DEX: A secure cryptocurrency e-wallet & exchange system with two-way authentication. In Proceedings of the Third International Conference on Smart Systems and Inventive Technology (pp. 305-310). Tirunelveli, India: IEEE.
Baruch, Y. (1999). Response rate in academic studies–A comparative analysis. Human Relations, 52(4), 421-438.
Beginners to Crypto Trading. (2022). Nā lak khō̜ng khō̜m mūni tī (Wep blo̜k) [Community home page (Weblog)]. Retrieved December 15, 2022, from https://www.facebook.com/groups/233223248195152/
Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16(1), 78-117.
Bitcoin & Cryptocurrency Community-Bitcoin Crypto Traders Discussion Group. (2022). Nā lak khō̜ng khō̜m mūni tī (Wep blo̜k) [Community home page (Weblog)]. Retrieved December 15, 2022, from https://www.facebook.com/groups/294484288773400/
Bitcoin Crypto News (Newsgroup Crypto Bitcoin Altcoin) by PubBit. (2022). Nā lak khō̜ng khō̜m mūni tī (Wep blo̜k) [Community home page (Weblog)]. Retrieved December 15, 2022, from https://www.facebook.com/groups/278486583792779/
Bitcoin Crypto Thailand (Talk News Crypto Bitcoin). (2022). Nā lak khō̜ng khō̜m mūni tī (Wep blo̜k) [Community home page (Weblog)]. Retrieved December 15, 2022, from https://www.facebook.com/groups/2888156448170853/? locale=th_TH
Bitcoin Thai Community. (2022). Bǣpsō̜pthām phư̄a kānwičhai (Wep blo̜k) [Questionnaire for research (Weblog)]. Retrieved December 15, 2022, from https://www.facebook.com/groups/435434921238337/?locale=th_TH
Blockchain & Crypto Community Thailand. (2022). Bǣpsō̜pthām phư̄a kānwičhai (Wep blo̜k) [Questionnaire for research (Weblog)]. Retrieved December 15, 2022, from https://www.facebook.com/groups/blockchaincryptocommunitythailand/
Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
Chalmers, D., Matthews, R., & Hyslop, A. (2021). Blockchain as an external enabler of new venture ideas: Digital entrepreneurs and the disintermediation of the global music industry. Journal of Business Research, 125, 577-591.
Comrey, A. L., & Lee, H. B. (2013). A first course in factor analysis (2nd ed.). New York: Psychology Press.
Crypto World & Blockchain Technology. (2022). Nā lak khō̜ng khō̜m mūni tī (Wep blo̜k) [Community home page (Weblog)]. Retrieved December 15, 2022, from https://www.facebook.com/groups/368842693802166/
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487.
DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). Thousand Oaks, CA: Sage.
Diamantopoulos, A., & Siguaw, J. A. (2000). Introduction to LISREL: A guide for the uninitiated. London: Sage.
Farhana, K., & Muthaiyah, S. (2022). Behavioral intention to use cryptocurrency as an electronic payment in Malaysia. Journal of System and Management Sciences, 12(4), 219-231.
Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. New York: Taylor & Francis.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement Error. Journal of Marketing Research, 18(1), 39–50.
Gao, S., & Li, Y. (2021). An empirical study on the adoption of blockchain-based games from users’ perspectives. The Electronic Library, 39(4), 596-614.
Gould, J. D., & Lewis, C. (1985). Designing for usability: Key principles and what designers think. Communications of the ACM, 28(3), 300-311.
Gowda, N., & Chakravorty, C. (2021). Comparative study on cryptocurrency transaction and banking transaction. Global Transitions Proceedings, 2(2), 530-534.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Harlow, United Kingdom: Pearson Education.
Juarrero, A. (1999). Dynamics in action: Intentional behavior as a complex system. Cambridge, MA: MIT Press.
Kabir, M. R., Islam, M. A., Marniati, & Herawati. (2021). Application of blockchain for supply chain financing: Explaining the drivers using SEM. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 1-30. https://doi.org/10.3390/joitmc7030167
Kelloway, E. K. (2015). Using Mplus for structural equation modeling; A researcher’s guide (2nd ed.). Thousand Oaks, CA: Sage.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). 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.
Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: Guilford Press.
Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). New York: Guilford Press.
Koroma, J., et al. (2022). Assessing citizens’ behavior towards blockchain cryptocurrency adoption in the Mano River Union States: Mediation, moderation role of trust and ethical issues. Technology in Society, 68. https://doi.org/10.1016/j.techsoc.2022.101885
Marsh, H. W., Hau, K.-T., Balla, J. R., & Grayson, D. (1998). Is more ever too much? The number of indicators per factor in confirmatory factor analysis. Multivariate Behavioral Research, 33(2), 181-220.
Matemba, E. D., & Li, G. (2018). Consumers' willingness to adopt and use WeChat wallet: An empirical study in South Africa. Technology in Society, 53, 55-68.
Memon, M. A., et al. (2020). Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling, 4(2). https://doi.org/10.47263/JASEM.4(2)01
Mendoza-Tello, J. C., Mora, H., Pujol-López, F. A., & Lytras, M. D. (2018). Social commerce as a driver to enhance trust and intention to use cryptocurrencies for electronic payments. IEEE Access, 6, 50737-50751.
Nadeem, M. A., Liu, Z., Pitafi, A. H., Younis, A., & Xu, Y. (2020). Investigating the repurchase intention of Bitcoin: Empirical evidence from China. Data Technologies and Applications, 54(5), 625-642.
Newbie Crypto. (2022). Nā lak khō̜ng khō̜m mūni tī (Wep blo̜k) [Community home page (Weblog)]. Retrieved December 15, 2022, from https://www.facebook.com/groups/newbiecrypto/
Ooi, S. K., Ooi, C. A., Yeap, J. A. L., & Goh, T. H. (2021). Embracing bitcoin: Users’ perceived security and trust. Quality & Quantity, 55(4), 1219–1237.
Özdil, S. Ö., & Kutlu, Ö. (2019). Investigation of the mediator variable effect using BK, Sobel and Bootstrap methods (mathematical literacy case). International Journal of Progressive Education, 15(2), 30-43.
Pasunon, P. (2015). Khwām thīangtrong khō̜ng bǣpsō̜pthām samrap ngānwičhai thāng sangkhommasāt [Validity of questionnaire for social science research]. Journal of Social Sciences Srinakharinwirot University, 18(18), 375-396.
Rahman, M. M., Lesch, M. F., Horrey, W. J., & Strawderman, L. (2017). Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems. Accident Analysis and Prevention, 108, 361-373.
Ramachandran, T., & Stella, M. (2022). Behavioural intention towards cryptocurrency adoption among students: A fintech innovation. Journal of Positive School Psychology, 6(6), 5046–5053.
Schumacker, R. E., & Lomax, R. G. (2010). A beginner’s guide to structural equation modeling (3rd ed.). New Jersey: Lawrence Erlbaum.
Shahzad, F., Xiu, G. Y., Wang, J., & Shahbaz, M. (2018). An empirical investigation on the adoption of cryptocurrencies among the people of mainland China. Technology in Society, 55, 33-40.
Sun, W., Dedahanov, A. T., Shin, H. Y., & Li, W. P. (2021). Factors affecting institutional investors to add crypto-currency to asset portfolios. North American Journal of Economics and Finance, 58. https://doi.org/10.1016/j.najef.2021.101499
Tabachnick, B. G., & Fidell, L. S. (2019). Using multivariate statistics (7th ed.). Boston: Pearson.
Tapscott, D., & Tapscott, A. (2018). Blockchain revolution: How the technology behind bitcoin and other cryptocurrencies is changing the world. New York: Penguin.
Thakkar, J. J. (2020). Structural equation modelling: Application for research and practice (with Amos and R). Singapore: Springer Nature.
Wang, C., Wang, B., & Fan, X. (2020). Ecoboost: Efficient bootstrapping for confidential transactions. In 2020 IEEE international conference on blockchain and cryptocurrency (pp. 1-3). Toronto, Canada: IEEE.
Zwitter, A., & Hazenberg, J. (2020). Decentralized network governance: Blockchain technology and the future of regulation. Frontiers in Blockchain, 3, 1-12.