Private Higher Education Intention in Adopting Blockchain Technology on Accounting Information System (AIS)
DOI:
https://doi.org/10.18196/pas.v1i2.18Keywords:
Accounting Information System, Blockchain, Private Higher Education, UTAUTAbstract
Research aims: This study was conducted with the aim of testing and obtaining empirical evidence regarding the intention of private higher education institutions (HEIs) to adopt blockchain in accounting information systems (AIS) using the unified theory of acceptance and use of technology (UTAUT) model.
Design/Methodology/Approach: The sample of this research is private HEIs in Java that have been accredited "Very Good" and "Excellent," and the respondents representing the sample of this research are the head of private HEIs in the finance sector, and the head of the financial agency/institution/bureau of private HEIs selected through purposive sampling technique. Data were collected using a questionnaire and analyzed using the Partial Least Square method.
Research findings: The results indicate that performance expectancy, effort expectancy, and social influence have a positive impact on the intention of private HEIs to use blockchain in AIS.
Theoretical contribution/Originality: This research provides a theoretical contribution by confirming the UTAUT theory and expanding the literature related to the adoption of blockchain in AIS in private HEIs.
Practitioner/Policy implication: The findings of this research can serve as a basis for policy-making regarding the implementation of blockchain technology in the private HEIs education sector and offer valuable insights for private HEIs to prepare for the implementation of blockchain technology in AIS in the education sector.
Research limitation/Implication: The sample was limited to private higher education in Java, making the results not generalizable to a broader context.
References
Afifa, M. M. A., Van, H. V., & Van, T. L. H. (2022). Blockchain adoption in accounting by an extended UTAUT model: empirical evidence from an emerging economy. Journal of Financial Reporting and Accounting, 21(1), 5-44. https://doi.org/10.1108/JFRA-12-2021-0434
Alammary, A., Alhazmi, S., Almasri, M., & Gillani, S. (2019). Blockchain-based applications in education: A systematic review. Applied Sciences, 9(12), 2400. https://doi.org/10.3390/app9122400
ALSaqa, Z. H., Hussein, A. I., & Mahmood, S. M. (2019). The impact of blockchain on accounting information systems. Journal of Information Technology Management, 11(3), 62-80.
Bakator, M., Ćoćkalo, D., Makitan, V., Stanisavljev, S., & Nikolić, M. (2024). The three pillars of tomorrow: How Marketing 5.0 builds on Industry 5.0 and impacts Society 5.0? Heliyon, 10(17). https://doi.org/10.1016/j.heliyon.2024.e36543
Bhaskar, P., Tiwari, C. K., & Joshi, A. (2021). Blockchain in education management: present and future applications. Interactive Technology and Smart Education, 18(1), 1-17. https://doi.org/10.1108/ITSE-07-2020-0102
Chang, A. (2012). UTAUT and UTAUT 2: A review and agenda for future research. The Winners, 13(2), 10-114. https://doi.org/10.21512/tw.v13i2.656
Che, Y., & Zhang, L. (2018). Human capital, technology adoption and firm performance: Impacts of China's higher education expansion in the late 1990s. The Economic Journal, 128(614), 2282-2320. https://doi.org/10.1111/ecoj.12524
Chen, G., Xu, B., Lu, M., & Chen, N.-S. (2018). Exploring blockchain technology and its potential applications for education. Smart Learning Environments, 5(1), 1-10. https://doi.org/10.1186/s40561-017-0050-x
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information systems research, 14(2), 189-217. https://doi.org/10.1287/isre.14.2.189.16018
Dai, J., & Vasarhelyi, M. A. (2017). Toward blockchain-based accounting and assurance. Journal of information systems, 31(3), 5-21. https://doi.org/10.2308/isys-51804
Duan, Y., Andrychowicz, M., Stadie, B., Jonathan Ho, O., Schneider, J., Sutskever, I., Abbeel, P., & Zaremba, W. (2017). One-shot imitation learning. Advances in neural information processing systems, 30.
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information systems frontiers, 21, 719-734. https://doi.org/10.1007/s10796-017-9774-y
Faccia, A., & Mosteanu, N. R. (2019). Accounting and blockchain technology: from double-entry to triple-entry. The Business & Management Review, 10(2), 108-116.
Fatima, M., Sherwani, N., Khan, S., & Khan, M. Z. (2022). Assessing and predicting operation variables for doctors employing industry 4.0 in health care industry using an adaptive neuro-fuzzy inference system (ANFIS) approach. Sustainable Operations and Computers, 3, 286-295. https://doi.org/10.1016/j.susoc.2022.05.005
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18 (3), 382-388. https://doi.org/10.2307/3150980
Gilda, S., & Mehrotra, M. (2018). Blockchain for student data privacy and consent. 2018 International Conference on Computer Communication and Informatics (ICCCI). 10.1109/ICCCI.2018.8441445
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
Hair J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European business review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128
Halim, F. H., Rashid, N. A. M., Johari, N. F. M., & Rahman, M. A. H. A. (2022). Decentralized Children's Immunization Record Management System for Private Healthcare in Malaysia Using IPFS and Blockchain. JOIV: International Journal on Informatics Visualization, 6(4), 890-896. https://doi.org/10.30630/joiv.6.4.1264
Hashimy, L., Jain, G., & Grifell-Tatjé, E. (2023). Determinants of blockchain adoption as decentralized business model by Spanish firms–an innovation theory perspective. Industrial Management & Data Systems, 123(1), 204-228. https://doi.org/10.1108/IMDS-01-2022-0030
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8
Hori, M., & Ohashi, M. (2018, June). Adaptive Identity authentication of blockchain system-the collaborative cloud educational system. In EdMedia+ Innovate Learning (pp. 1339-1346). Association for the Advancement of Computing in Education (AACE).
Huy, P. Q., & Phuc, V. K. (2020). The impact of public sector scorecard adoption on the effectiveness of accounting information systems towards the sustainable performance in public sector. Cogent Business & Management, 7(1), 1717718. https://doi.org/10.1080/23311975.2020.1717718
Ito, K., & O’Dair, M. (2019). A critical examination of the application of blockchain technology to intellectual property management. Business Transformation through Blockchain: Volume II, 317-335. https://doi.org/10.1007/978-3-319-99058-3_12
Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Suman, R. (2021). Blockchain technology applications for Industry 4.0: A literature-based review. Blockchain: Research and Applications, 2(4), 100027. https://doi.org/10.1016/j.bcra.2021.100027
Komarudin, U. (2022, Agustus 19). Praktisi: Tanpa teknologi kampus swasta sulit tingkatkan layanan. Antara. Retrieved from https://www.antaranews.com/berita/3068409/praktisi-tanpa-teknologi-kampus-swasta-sulit-tingkatkan-layanan
Lee, M., Yun, J. J., Pyka, A., Won, D., Kodama, F., Schiuma, G., Park, H., Jeon, J., Park, K., & Jung, K. (2018). How to respond to the fourth industrial revolution, or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 4(3), 21. https://doi.org/10.3390/joitmc4030021
Lian, W., Fan, Q., Jia, B., & Liang, Y. (2020). A blockchain prediction model on time, value, and purchase based on Markov chain and queuing theory in Stock trade. Mathematical Problems in Engineering, 2020(1), 3984924. https://doi.org/10.1155/2020/3984924
Mikroyannidis, A., Third, A., Domingue, J., Bachler, M., & Quick, K. A. (2020). Blockchain applications in lifelong learning and the role of the semantic blockchain. In Blockchain technology applications in education, 16-41. IGI Global. 10.4018/978-1-5225-9478-9.ch002
Nespor, J. (2019). Cyber schooling and the accumulation of school time. Pedagogy, Culture & Society, 27(3), 325-341. https://doi.org/10.1080/14681366.2018.1489888
Nordgren, A., Weckström, E., Martikainen, M., & Lehner, O. M. (2019). Blockchain in the fields of finance and accounting: a disruptive technology or an overhyped phenomenon. ACRN Journal of Finance and Risk Perspectives, 8(Special Issue; Digital Accounting), 47-58. https://doi.org/10.35944/jofrp.2019.8.2
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in human behavior, 61, 404-414. https://doi.org/10.1016/j.chb.2016.03.030
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879. https://doi.org/10.1037/0021-9010.88.5.879
Ramos, C. R. d. S., & Queiroz, M. M. (2022). Blockchain in education: the influence of trust on adoption and implementation. RAUSP Management Journal, 57(3), 316-331. https://doi.org/10.1108/RAUSP-06-2021-0097
Sahib, A., Intes, A., Majid, J., Rijal, S., & Setiawati, R. (2024). Integration of Blockchain Technology in Education Financial Management for Transparency and Accountability. al-fikrah: Jurnal Manajemen Pendidikan, 12(1), 162-174. https://doi.org/10.31958/jaf.v12i1.12550
Savelyev, A. (2018). Copyright in the blockchain era: Promises and challenges. Computer law & security review, 34(3), 550-561. https://doi.org/10.1016/j.clsr.2017.11.008
Spichak, I., Stenyushkina, S., Polevoy, I., Nazarova, A., & Kucheryavenko, S. (2021). SWOT analysis as a strategic tool for developing the quality management system of an educational organization. BIO Web of Conferences. https://doi.org/10.1051/bioconf/20213003005
Sugiyono. (2012). Metode Penelitian Kuantitatif, Kualitatif, dan R & D. Alfabeta.
Sun, Y., Zhang, R., Wang, X., Gao, K., & Liu, L. (2018). A decentralizing attribute-based signature for healthcare blockchain. 2018 27th International conference on computer communication and networks (ICCCN).
Tapscott, A., & Tapscott, D. (2017). How blockchain is changing finance. Harvard Business Review, 1(9), 2-5.
Taherdoost, H. (2022). A critical review of blockchain acceptance models—blockchain technology adoption frameworks and applications. Computers, 11(2), 24. https://doi.org/10.3390/computers11020024
Tarhini, A., Hone, K., Liu, X., & Tarhini, T. (2017). Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model. Interactive Learning Environments, 25(3), 306-328. https://doi.org/10.1080/10494820.2015.1122635
Tolbatov, A. V., Ahadzhanova, S. V., Viunenko, A. B., & Tolbatov, V. A. (2018). Using blockchain technology for E-learning.
Turkanović, M., Hölbl, M., Košič, K., Heričko, M., & Kamišalić, A. (2018). EduCTX: A blockchain-based higher education credit platform. IEEE access, 6, 5112-5127. https://doi.org/10.1109/ACCESS.2018.2789929
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. https://doi.org/10.2307/30036540
Wang, J., Wu, P., Wang, X., & Shou, W. (2017). The outlook of blockchain technology for construction engineering management. Frontiers of engineering management 4(1), 67-75. https://doi.org/10.15302/J-FEM-2017006
Warner, K. S., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long range planning, 52(3), 326-349. https://doi.org/10.1016/j.lrp.2018.12.001
Xu, M., Chen, X., & Kou, G. (2019). A systematic review of blockchain. Financial innovation, 5(1), 1-14. https://doi.org/10.1186/s40854-019-0147-z
Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology? A systematic review. Plos one, 11(10), e0163477. https://doi.org/10.1371/journal.pone.0163477
Zhao, Z.-Q., Zheng, P., Xu, S.-t., & Wu, X. (2019). Object detection with deep learning: A review. IEEE transactions on neural networks and learning systems, 30(11), 3212-3232. 10.1109/TNNLS.2018.2876865
Wu, Z. (2021). Review of government performance management in the big data era: Practice, issues and prospects. 7th International Conference on Humanities and Social Science Research (ICHSSR 2021). https://doi.org/10.2991/assehr.k.210519.076
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