Readiness of private universities to adopt blockchain in accounting information systems

Authors

  • Tazkia Ramadina Faculty of Economics and Business, University of Muhammadiyah Yogyakarta, Yogyakarta, Indonesia
  • Suryo Pratolo Faculty of Economics and Business, University of Muhammadiyah Yogyakarta, Yogyakarta, Indonesia

DOI:

https://doi.org/10.22219/jaa.v7i4.36835

Keywords:

Blockchain, Financial Accounting, Higher Education, Technology Adoption, UTAUT

Abstract

Purpose: This study aims to collect empirical data on the impact of three critical variables in blockchain adoption – performance expectancy, effort expectancy, and social influence – on the Intention to use blockchain in private higher education institutions in Indonesia. Using the UTAUT theoretical framework, this study aims to understand how these three factors influence the decision to adopt blockchain technology in accounting information systems.

Methodology/approach: This study investigates how private universities in Indonesia perceive the possibility of implementing blockchain technology in the accounting system. By applying the UTAUT model, the study examined three aspects that may influence the willingness to adopt blockchain technology: performance expectancy, effort expectancy, and social influence. Data was collected through distributing questionnaires to 136 leaders of finance departments in various private universities.

Findings: The results show that performance and efficacy expectancy significantly influence the Intention to use blockchain technology in private universities. In contrast, social influence does not show a significant influence.

Practical and Theoretical contribution/Originality: This research makes a practical contribution by highlighting the importance of perceived usefulness and ease of use in driving blockchain adoption in the higher education sector. From a theoretical perspective, this study extends the applicability of the UTAUT model in the context of private universities in Indonesia.

Research Limitation: The Object of this research is only private higher education institutions in Indonesia.

Downloads

Download data is not yet available.

References

Abu Afifa, M., Vo, H., & Le, T. (2022). Blockchain adoption in accounting by an extended UTAUT model: empirical evidence from an emerging economy. Journal of Financial Reporting and Accounting, -, 1-40. https://doi.org/10.1108/JFRA-12-2021-0434

Ahdiyatuningsih, N., & Yetmi, YS (2020). The Model of Empowering Poor Women Based on Creative Economy and Local Age. Aptisi Transactions on Technopreneurship (ATT), 2 (1), 75-86. https://doi.org/10.34306/att.v2i1.72

Alalwan, AA, Dwivedi, YK, Rana, NP, & 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.

Alam, MMD, Alam, MZ, Rahman, SA, & Taghizadeh, SK (2021). Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach. Journal of Biomedical Informatics, 116, 103722.

Alammary, A., Alhazmi, S., Almasri, M., & Gillani, S. (2019). Blockchain-Based Applications in Education: A Systematic Review. Applied Sciences, 9 (12), 2400. https://www.mdpi.com/2076-3417/9/12/2400

Alazab, M., Alhyari, S., Awajan, A., & Abdallah, A.B. (2021). Blockchain technology in supply chain management: an empirical study of the factors influencing user adoption/acceptance. Cluster Computing, 24 (1), 83-101.

Alketbi, A., Nasir, Q., & Talib, M.A. (2018, 25-26 Feb. 2018). Blockchain for government services — Use cases, security benefits and challenges. 2018 15th Learning and Technology Conference (L&T),

Angelis, J., & Ribeiro da Silva, E. (2019). Blockchain adoption: A value driver perspective. Business Horizons, 62 (3), 307-314. https://doi.org/https://doi.org/10.1016/j.bushor.2018.12.001

Argani, A., & Taraka, W. (2020). Utilization of blockchain technology to optimize certificate security in higher education. ADI Bisnis Digit. Interdisciplinary J, 1 (1), 10-21.

Arwani, A., & Priyadi, U. (2024). Exploring the Role of Blockchain Technology in Enhancing Transparency and Accountability in Islamic Finance: A Systematic Review. Journal of Business Economics and Management, 2 (2), 23-37. https://doi.org/10.59024/jise.v2i2.653

Bandara, I., Ioras, F., & Arraiza, M. P. (2018). The emerging trend of blockchain for validating degree apprenticeship certification in cybersecurity education. INTED2018 Proceedings,

Bervell, B., & Umar, IN (2017). Validation of the UTAUT model: Re-considering non-linear relationships of exogenous variables in higher education technology acceptance research. EURASIA Journal of Mathematics, Science and Technology Education, 13 (10), 6471-6490.

Bhaskar, P., Tiwari, C.K., & Joshi, A. (2020). Blockchain in education management: present and future applications. Interactive Technology and Smart Education, 18 (1), 1-17.

Budhiraja, S., & Rani, R. (2020). TUDocChain-securing academic certificates digitally on the blockchain. Inventive Computation Technologies 4,

Cahyadi, D., Faturahman, A., Haryani, H., Dolan, E., & Millah, S. (2021). BCS: Blockchain Smart Curriculum System for Verification of Student Accreditation. International Journal of Cyber and IT Service Management, 1 (1), 65-83. https://doi.org/10.34306/ijcitsm.v1i1.20

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. https://doi.org/10.1186/s40561-017-0050-x

Curmi, A., & Inguanez, F. (2018). Blockchain-based certificate verification platform. International Conference on Business Information Systems,

Dai, J., & Vasarhelyi, M. A. (2017). Toward blockchain-based accounting and assurance. Journal of information systems, 31 (3), 5-21.

Fedorko, I., Bačik, R., & Gavurova, B. (2021). Effort expectancy and social influence factors are the main determinants of performance expectancy using electronic banking. Banks and Bank Systems, 16 (2), 27.

Fornell, C., & Larcker, D. F. (1981). I am evaluating structural equation models with unobservable variables and measurement errors. Journal of marketing research, 18 (1), 39-50.

Hair, J.F., Astrachan, C.B., Moisescu, O.I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C.M. (2021). Executing and interpreting applications of PLS-SEM: Updates for family business researchers. Journal of Family Business Strategy, 12 (3), 100392.

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.

Hair Jr, J., Hair Jr, J.F., Sarstedt, M., Ringle, C.M., & Gudergan, S.P. (2023). Advanced issues in partial least squares structural equation modelling. Sage publications.

Hair Jr, J.F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V.G. (2014). Partial least squares structural equation modelling (PLS-SEM): An emerging tool in business research. European Business Review, 26 (2), 106-121.

Han, M., Li, Z., He, J., Wu, D., Xie, Y., & Baba, A. (2018). A Novel Blockchain-based Education Records Verification Solution Proceedings of the 19th Annual SIG Conference on Information Technology Education, Fort Lauderdale, Florida, USA. https://doi.org/10.1145/3241815.3241870

Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40 (4), 440-465.

Hyvärinen, H., Risius, M., & Friis, G. (2017). A Blockchain-Based Approach Towards Overcoming Financial Fraud in Public Sector Services. Business & Information Systems Engineering, 59 (6), 441-456. https://doi.org/10.1007/s12599-017-0502-4

Ifinedo, P., Pyke, J., & Anwar, A. (2018). Business undergraduates' perceived use outcomes of Moodle in a blended learning environment: The roles of usability factors and external support. Telematics and Informatics, 35 (1), 93–102.

Janssen, M., Weerakkody, V., Ismagilova, E., Sivarajah, U., & Irani, Z. (2020). A framework for analyzing blockchain technology adoption: Integrating institutional, market and technical factors. International Journal of Information Management, 50, 302-309. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.08.012

Knauer, F., & Mann, A. (2020). What is in It for Me? Identifying Drivers of Blockchain Acceptance among German Consumers. The Journal of the British Blockchain Association, 3 (1), 1-16. https://doi.org/10.31585/jbba-3-1-(1)2020

Mahankali, S., & Chaudhary, S. (2020). Blockchain in education: a comprehensive approach–utility, use cases, and implementation in a university. In Blockchain technology applications in education (pp. 267-293). Global IGI.

Mettler, M. (2016, Sept. 14-16, 2016). Blockchain technology in healthcare: The revolution starts here. 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom),

MIT, L.M. (2020). https://www.media.mit.edu

Mohammed, D., Aisha, N., Himki, A., Dithi, A., & Ardianto, AY (2020). Blockchain Is the Top Skill For 2020. Aptisi Transactions on Technopreneurship (ATT), 2 (2), 180–185. https://doi.org/10.34306/att.v2i2.101

Nespor, J. (2019). Cyber schooling and the accumulation of school time. Pedagogy, Culture & Society, 27 (3), 325–341.

Queiroz, M. M., & Wamba, S. F. (2019). Blockchain adoption challenges in the supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, 46, 70-82.

Ramos, CR d. S., & Queiroz, M.M. (2022). Blockchain in education: the influence of trust on adoption and implementation. RAUSP Management Journal, 57, 316–331.

Rana, N. P., Dwivedi, Y. K., Lal, B., Williams, M. D., & Clement, M. (2017). Citizens' adoption of an electronic government system: Towards a unified view. Information Systems Frontiers, pp. 19, 549–568.

Revilla, M. A., Saris, W. E., & Krosnick, J. A. (2014). I am choosing the number of categories in agree-disagree scales. Sociological methods & research, 43 (1), 73-97.

Sharples, M., & Domingue, J. (2016). The blockchain and kudos: A distributed system for educational record, reputation and reward. Adaptive and Adaptable Learning: 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, Lyon, France, September 13-16, 2016, Proceedings 11,

Shmueli, G., & Koppius, O. R. (2011). Predictive analytics in information systems research. MIS Quarterly, 553-572.

Tapscott, A., & Tapscott, D. (2017). How blockchain is changing finance. Harvard Business Review, 1 (9), 2-5.

Venkatesh, M., Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27 (3). https://doi.org/10.2307/30036540

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.

Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17 (5), 328-376.

Watson, L. A., & Mishler, C. (2017). Get ready for blockchain: Should management accountants add blockchain technology to their professional vocabulary? Strategic Finance, 98 (7), 62–64.

Yang, G. (2022). Optimization of university financial services using blockchain technology. Scientific Programming, 2022 (1), 2680366.

Yatim, A., Nurkholis, FM, & Setiawan, A. (2018). Innovation in university in the era of Industry 4.0.

Yusof, H., Munir, M., Zolkaply, Z., Jing, C., Hao, C., Ying, D., Zheng, L., Seng, L., & Leong, TK (2018). Behavioural Intention to adopt blockchain technology: Viewpoint of the banking institutions in Malaysia. International Journal of Advanced Scientific Research and Management, 3 (10), 274–279.

Downloads

Published

2024-11-30