The Impact of Technology Readiness, Usefulness, and Ease of Use on AI-Based Accounting Software Adoption
Keywords:
Adoption of AI-based accounting software, Technology readiness, Perceived usefulness, Perceived ease of use, Accounting educationAbstract
Objective: This study aims to examine the impact of technology readiness, perceived usefulness, and perceived ease of use on the adoption of AI-based accounting software among undergraduate accounting students in Indonesia.
Methods: This study utilized quantitative research methodology and associative design to survey 359 accounting students from the Faculty of Business and Economics at several universities in Indonesia. A total of 247 participants were selected through purposive sampling. SEM-PLS was used to evaluate the data, which was collected through an online questionnaire and SmartPLS 3.0 software.
Findings: The results indicate that technology readiness did not significantly influence technology adoption. However, perceived usefulness and perceived ease of use had strong positive effects. Specifically, perceived usefulness and perceived ease of use significantly predicted technology adoption, emphasizing the importance of these factors in students' willingness to adopt AI-based accounting software.
Novelty: This study contributes to the literature by providing empirical evidence on the determinants of AI technology adoption in the context of accounting education, particularly in a developing country setting.
Theory and Policy Implications: The results indicate that perceived benefits and simplicity of use are important factors in technology adoption, supporting the Diffusion of Innovation Theory and the Theory of Planned Behavior. Educational institutions should prioritize improving the perceived utility and user-friendliness of AI technologies by implementing tailored training programs and intuitive interfaces. This will promote greater acceptance and utilization of these technologies among students.
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Abdullah, Abdulwahid Ahmad Hashed, and Faozi A. Almaqtari. 2024. “The Impact of Artificial Intelligence and Industry 4.0 on Transforming Accounting and Auditing Practices.” Journal of Open Innovation: Technology, Market, and Complexity 10(1):100218. doi: https://doi.org/10.1016/j.joitmc.2024.100218. DOI: https://doi.org/10.1016/j.joitmc.2024.100218
Abdullah, Fazil, Rupert Ward, and Ejaz Ahmed. 2016. “Investigating the Influence of the Most Commonly Used External Variables of TAM on Students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-Portfolios.” Computers in Human Behavior 63:75–90. doi: https://doi.org/10.1016/j.chb.2016.05.014. DOI: https://doi.org/10.1016/j.chb.2016.05.014
Abulibdeh, Ammar, Esmat Zaidan, and Rawan Abulibdeh. 2024. “Navigating the Confluence of Artificial Intelligence and Education for Sustainable Development in the Era of Industry 4.0: Challenges, Opportunities, and Ethical Dimensions.” Journal of Cleaner Production 437:140527. doi: https://doi.org/10.1016/j.jclepro.2023.140527. DOI: https://doi.org/10.1016/j.jclepro.2023.140527
Agarwal, Ritu, and Jayesh Prasad. 1998. “The Antecedents and Consequents of User Perceptions in Information Technology Adoption.” Decision Support Systems 22(1):15–29. doi: https://doi.org/10.1016/S0167-9236(97)00006-7. DOI: https://doi.org/10.1016/S0167-9236(97)00006-7
Ahmad, Tashfeen. 2020. “Scenario Based Approach to Re-Imagining Future of Higher Education Which Prepares Students for the Future of Work.” Higher Education, Skills and Work-Based Learning 10(1):217–38. doi: 10.1108/HESWBL-12-2018-0136. DOI: https://doi.org/10.1108/HESWBL-12-2018-0136
Ajzen, Icek. 2020. “The Theory of Planned Behavior: Frequently Asked Questions.” Human Behavior and Emerging Technologies 2(4):314–24. doi: https://doi.org/10.1002/hbe2.195. DOI: https://doi.org/10.1002/hbe2.195
Al-Adwan, Ahmad Samed. 2020. “Investigating the Drivers and Barriers to MOOCs Adoption: The Perspective of TAM.” Education and Information Technologies 25(6):5771–95. doi: 10.1007/s10639-020-10250-z. DOI: https://doi.org/10.1007/s10639-020-10250-z
Al-Gahtani, Said S. 2003. “Computer Technology Adoption in Saudi Arabia: Correlates of Perceived Innovation Attributes.” Information Technology for Development 10(1):57–69. doi: https://doi.org/10.1002/itdj.1590100106. DOI: https://doi.org/10.1002/itdj.1590100106
Al-Maskari, Azzah, Thuraya Al Riyami, and Sami Ghnimi. 2024. “Factors Affecting Students’ Preparedness for the Fourth Industrial Revolution in Higher Education Institutions.” Journal of Applied Research in Higher Education 16(1):246–64. doi: 10.1108/JARHE-05-2022-0169. DOI: https://doi.org/10.1108/JARHE-05-2022-0169
Ayanwale, Musa Adekunle, Ismaila Temitayo Sanusi, Owolabi Paul Adelana, Kehinde D. Aruleba, and Solomon Sunday Oyelere. 2022. “Teachers’ Readiness and Intention to Teach Artificial Intelligence in Schools.” Computers and Education: Artificial Intelligence 3:100099. doi: https://doi.org/10.1016/j.caeai.2022.100099. DOI: https://doi.org/10.1016/j.caeai.2022.100099
Baabdullah, Abdullah M., Ali Abdallah Alalwan, Emma Louise Slade, Ramakrishnan Raman, and Khalaf Fakhri Khatatneh. 2021. “SMEs and Artificial Intelligence (AI): Antecedents and Consequences of AI-Based B2B Practices.” Industrial Marketing Management 98:255–70. doi: https://doi.org/10.1016/j.indmarman.2021.09.003. DOI: https://doi.org/10.1016/j.indmarman.2021.09.003
Bauman, Adrian E., James F. Sallis, David A. Dzewaltowski, and Neville Owen. 2002. “Toward a Better Understanding of the Influences on Physical Activity: The Role of Determinants, Correlates, Causal Variables, Mediators, Moderators, and Confounders.” American Journal of Preventive Medicine 23(2, Supplement 1):5–14. doi: https://doi.org/10.1016/S0749-3797(02)00469-5. DOI: https://doi.org/10.1016/S0749-3797(02)00469-5
Burton-Jones, Andrew, Ephraim R. McLean, and Emmanuel Monod. 2015. “Theoretical Perspectives in IS Research: From Variance and Process to Conceptual Latitude and Conceptual Fit.” European Journal of Information Systems 24(6):664–79. doi: 10.1057/ejis.2014.31. DOI: https://doi.org/10.1057/ejis.2014.31
Chen, Lijun, and Apetogbo Komlan Aklikokou. 2020. “Determinants of E-Government Adoption: Testing the Mediating Effects of Perceived Usefulness and Perceived Ease of Use.” International Journal of Public Administration 43(10):850–65. doi: 10.1080/01900692.2019.1660989. DOI: https://doi.org/10.1080/01900692.2019.1660989
Conrad, Agatha M., and Don Munro. 2008. “Relationships between Computer Self-Efficacy, Technology, Attitudes and Anxiety: Development of the Computer Technology Use Scale (CTUS).” Journal of Educational Computing Research 39(1):51–73. doi: 10.2190/EC.39.1.d. DOI: https://doi.org/10.2190/EC.39.1.d
Dabbous, Amal, and Nada Mallah Boustani. 2023. “Digital Explosion and Entrepreneurship Education: Impact on Promoting Entrepreneurial Intention for Business Students.” Journal of Risk and Financial Management 16(1). doi: 10.3390/jrfm16010027. DOI: https://doi.org/10.3390/jrfm16010027
Damerji, Hassan, and Anwar Salimi. 2021. “Mediating Effect of Use Perceptions on Technology Readiness and Adoption of Artificial Intelligence in Accounting.” Accounting Education 30(2):107–30. doi: 10.1080/09639284.2021.1872035. DOI: https://doi.org/10.1080/09639284.2021.1872035
Doumat, George, Darine Daher, Nadim Nicolas Ghanem, and Beatrice Khater. 2022. “Knowledge and Attitudes of Medical Students in Lebanon toward Artificial Intelligence: A National Survey Study.” Frontiers in Artificial Intelligence 5. doi: 10.3389/frai.2022.1015418. DOI: https://doi.org/10.3389/frai.2022.1015418
Duflou, Joost R., John W. Sutherland, David Dornfeld, Christoph Herrmann, Jack Jeswiet, Sami Kara, Michael Hauschild, and Karel Kellens. 2012. “Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach.” CIRP Annals 61(2):587–609. doi: https://doi.org/10.1016/j.cirp.2012.05.002. DOI: https://doi.org/10.1016/j.cirp.2012.05.002
Flavián, Carlos, Alfredo Pérez-Rueda, Daniel Belanche, and Luis V Casaló. 2022. “Intention to Use Analytical Artificial Intelligence (AI) in Services – the Effect of Technology Readiness and Awareness.” Journal of Service Management 33(2):293–320. doi: 10.1108/JOSM-10-2020-0378. DOI: https://doi.org/10.1108/JOSM-10-2020-0378
Gina Andani. 2022. “Indonesian Accounting Students’ Self-Confidence To Adopt Artificial Intelligence (Ai).” Jurnal Akuntansi Dan Keuangan Indonesia 19(1):24–45. doi: 10.21002/jaki.2022.02. DOI: https://doi.org/10.21002/jaki.2022.02
González-Gonzalo, Cristina, Eric F. Thee, Caroline C. W. Klaver, Aaron Y. Lee, Reinier O. Schlingemann, Adnan Tufail, Frank Verbraak, and Clara I. Sánchez. 2022. “Trustworthy AI: Closing the Gap between Development and Integration of AI Systems in Ophthalmic Practice.” Progress in Retinal and Eye Research 90:101034. doi: https://doi.org/10.1016/j.preteyeres.2021.101034. DOI: https://doi.org/10.1016/j.preteyeres.2021.101034
Greene, David, and Jane L. David. 1984. “A Research Design for Generalizing from Multiple Case Studies.” Evaluation and Program Planning 7(1):73–85. doi: https://doi.org/10.1016/0149-7189(84)90027-2. DOI: https://doi.org/10.1016/0149-7189(84)90027-2
Haddad, Adel, Ali Ameen, Osama Isaac, Ibrahim Alrajawy, Ahmed Al-Shbami, and Divya Midhun Chakkaravarthy. 2020. “The Impact of Technology Readiness on the Big Data Adoption Among UAE Organisations BT - Data Management, Analytics and Innovation.” Pp. 249–64 in, edited by N. Sharma, A. Chakrabarti, and V. E. Balas. Singapore: Springer Singapore. DOI: https://doi.org/10.1007/978-981-13-9364-8_19
Hashim, Ali, and Moritz Piatti-Fünfkirchen. 2018. “Lessons from Reforming Financial Management Information Systems: A Review of the Evidence.” Lessons from Reforming Financial Management Information Systems: A Review of the Evidence (January). doi: 10.1596/1813-9450-8312. DOI: https://doi.org/10.1596/1813-9450-8312
Jackson, Nicole C. 2019. “Managing for Competency with Innovation Change in Higher Education: Examining the Pitfalls and Pivots of Digital Transformation.” Business Horizons 62(6):761–72. doi: https://doi.org/10.1016/j.bushor.2019.08.002. DOI: https://doi.org/10.1016/j.bushor.2019.08.002
Karahanna, Elena, and Detmar W. Straub. 1999. “The Psychological Origins of Perceived Usefulness and Ease-of-Use.” Information & Management 35(4):237–50. doi: https://doi.org/10.1016/S0378-7206(98)00096-2. DOI: https://doi.org/10.1016/S0378-7206(98)00096-2
Kashive, Neerja, Leena Powale, and Kshitij Kashive. 2021. “Understanding User Perception toward Artificial Intelligence (AI) Enabled e-Learning.” The International Journal of Information and Learning Technology 38(1):1–19. doi: 10.1108/IJILT-05-2020-0090. DOI: https://doi.org/10.1108/IJILT-05-2020-0090
Kumar, Shashank, Rakesh D. Raut, Maciel M. Queiroz, and Balkrishna E. Narkhede. 2021. “Mapping the Barriers of AI Implementations in the Public Distribution System: The Indian Experience.” Technology in Society 67:101737. doi: https://doi.org/10.1016/j.techsoc.2021.101737. DOI: https://doi.org/10.1016/j.techsoc.2021.101737
Labrague, Leodoro J., Rheajane Aguilar-Rosales, Begonia C. Yboa, Jeanette B. Sabio, and Janet A. de los Santos. 2023. “Student Nurses’ Attitudes, Perceived Utilization, and Intention to Adopt Artificial Intelligence (AI) Technology in Nursing Practice: A Cross-Sectional Study.” Nurse Education in Practice 73:103815. doi: https://doi.org/10.1016/j.nepr.2023.103815. DOI: https://doi.org/10.1016/j.nepr.2023.103815
Lee, Yeonjoo, Miyeon Ha, Sujeong Kwon, Yealin Shim, and Jinwoo Kim. 2019. “Egoistic and Altruistic Motivation: How to Induce Users’ Willingness to Help for Imperfect AI.” Computers in Human Behavior 101:180–96. doi: https://doi.org/10.1016/j.chb.2019.06.009. DOI: https://doi.org/10.1016/j.chb.2019.06.009
Liu, Leo, Weizi Li, Naif R. Aljohani, Miltiadis D. Lytras, Saeed-Ul Hassan, and Raheel Nawaz. 2020. “A Framework to Evaluate the Interoperability of Information Systems – Measuring the Maturity of the Business Process Alignment.” International Journal of Information Management 54:102153. doi: https://doi.org/10.1016/j.ijinfomgt.2020.102153. DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102153
Neumann, W. Patrick, Sven Winkelhaus, Eric H. Grosse, and Christoph H. Glock. 2021. “Industry 4.0 and the Human Factor – A Systems Framework and Analysis Methodology for Successful Development.” International Journal of Production Economics 233:107992. doi: https://doi.org/10.1016/j.ijpe.2020.107992. DOI: https://doi.org/10.1016/j.ijpe.2020.107992
Nordhoff, Sina, Victor Malmsten, Bart van Arem, Peng Liu, and Riender Happee. 2021. “A Structural Equation Modeling Approach for the Acceptance of Driverless Automated Shuttles Based on Constructs from the Unified Theory of Acceptance and Use of Technology and the Diffusion of Innovation Theory.” Transportation Research Part F: Traffic Psychology and Behaviour 78:58–73. doi: https://doi.org/10.1016/j.trf.2021.01.001. DOI: https://doi.org/10.1016/j.trf.2021.01.001
Nouraldeen, Rasha Mohammad. 2023. “The Impact of Technology Readiness and Use Perceptions on Students’ Adoption of Artificial Intelligence: The Moderating Role of Gender.” Development and Learning in Organizations: An International Journal 37(3):7–10. doi: 10.1108/DLO-07-2022-0133. DOI: https://doi.org/10.1108/DLO-07-2022-0133
Owoc, Mieczysław L., Agnieszka Sawicka, and Paweł Weichbroth. 2021. “Artificial Intelligence Technologies in Education: Benefits, Challenges and Strategies of Implementation BT - Artificial Intelligence for Knowledge Management.” Pp. 37–58 in, edited by Mieczysław Lech Owoc and M. Pondel. Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-85001-2_4
Pimentel, Erica, and Emilio Boulianne. 2022. “Competency Map Development as an Identity Movement: A Canadian Perspective.” Accounting Education 31(5):453–81. doi: 10.1080/09639284.2021.2015407. DOI: https://doi.org/10.1080/09639284.2021.2015407
Ramírez-Uclés, Isabel, María José González-Calderón, Victoria del Barrio-Gándara, and Miguel Ángel Carrasco. 2018. “Perceived Parental Acceptance-Rejection and Children’s Psychological Adjustment: The Moderating Effects of Sex and Age.” Journal of Child and Family Studies 27(4):1336–48. doi: 10.1007/s10826-017-0975-2. DOI: https://doi.org/10.1007/s10826-017-0975-2
Raza, Syed Ali, Amna Umer, and Nida Shah. 2017. “New Determinants of Ease of Use and Perceived Usefulness for Mobile Banking Adoption.” International Journal of Electronic Customer Relationship Management 11(1):44–65. doi: 10.1504/IJECRM.2017.086751. DOI: https://doi.org/10.1504/IJECRM.2017.10007744
Rodway, Paul, and Astrid Schepman. 2023. “The Impact of Adopting AI Educational Technologies on Projected Course Satisfaction in University Students.” Computers and Education: Artificial Intelligence 5:100150. doi: https://doi.org/10.1016/j.caeai.2023.100150. DOI: https://doi.org/10.1016/j.caeai.2023.100150
Seshan, Ananth, and B. K. Gorain. 2016. “An Integrated Mining and Metallurgical Enterprise Enabling Continuous Process Optimization BT - Innovative Process Development in Metallurgical Industry: Concept to Commission.” Pp. 203–42 in, edited by V. I. Lakshmanan, R. Roy, and V. Ramachandran. Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-319-21599-0_11
Sudaryanto, Miftah Rizqullah, Muhammad Aditya Hendrawan, and Tommy Andrian. 2023. “The Effect of Technology Readiness, Digital Competence, Perceived Usefulness, and Ease of Use on Accounting Students Artificial Intelligence Technology Adoption.” E3S Web of Conferences 388. doi: 10.1051/e3sconf/202338804055. DOI: https://doi.org/10.1051/e3sconf/202338804055
Tavares, Maria C., Graça Azevedo, Rui P. Marques, and Maria Anunciação Bastos. 2023. “Challenges of Education in the Accounting Profession in the Era 5.0: A Systematic Review.” Cogent Business & Management 10(2):2220198. doi: 10.1080/23311975.2023.2220198. DOI: https://doi.org/10.1080/23311975.2023.2220198
Xiao, Bo, and Izak Benbasat. 2007. “E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact.” MIS Quarterly 31(1):137–209. doi: 10.2307/25148784. DOI: https://doi.org/10.2307/25148784
Zhang, Caiming, and Yang Lu. 2021. “Study on Artificial Intelligence: The State of the Art and Future Prospects.” Journal of Industrial Information Integration 23:100224. doi: https://doi.org/10.1016/j.jii.2021.100224. DOI: https://doi.org/10.1016/j.jii.2021.100224
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