Electronic Certificate Acceptance Based on Technology Acceptance Model (TAM)
Keywords:
Technology Acceptance Model (TAM), Electronic Certificate, Behavioral IntentionAbstract
Introduction/Main Objectives: This study investigates staff acceptance of electronic certificate adoption within an educational institution using the Technology Acceptance Model (TAM), focusing on key constructs: perceived usefulness (PU), perceived ease of use (PEOU), attitude (ATT), social influence (SI), and facilitating conditions (FC).
Background Problems: The research addresses the operational and economic challenges associated with traditional printed certificates.
Research Methods: A quantitative survey method was employed among academic and support staff. Data were analyzed using SPSS v25.
Finding/Results: Findings reveal strong positive correlations between behavioral intention (BI) and all five predictor constructs (PU, PEOU, ATT, SI, FC). Attitude (ATT) and facilitating conditions (FC) emerged as the most significant contributing factors to adoption intention.
Conclusion: The results indicate high acceptance levels among staff, driven by positive attitudes and supportive infrastructure. The insights affirm TAM's relevance in this context and suggest that enhancing usability, organizational support, and strategic communication can further improve adoption and streamline certification processes.
References
Aljarboa, S., & Miah, S. J. (2020). Assessing the acceptance of clinical decision support tools using an integrated Technology Acceptance Model.
Brusso, R. C. (2015). Employee behavioral intention and technology use (Doctoral dissertation). Old Dominion University. Retrieved from https://digitalcommons.odu.edu/cgi/viewcontent.cgi?article=1013&context=psychology_etds
Business Perspectives. (2020). Adoption of e-government by Indonesian state universities: An application of the Technology Acceptance Model. Problems and Perspectives in Management, 18(3), 1–10.
Crowder, R., Price, G., & Groß, T. (2023). Simply tell me how—On trustworthiness and technology acceptance of attribute-based credentials.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Elnagar, A., Afyouni, I., Shahin, I., Bou Nassif, A., & Salloum, S. A. (2021). The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach-based hybrid SEM-ANN.
Khati, P., Shrestha, A. K., & Vassileva, J. (2024). Exploring user acceptance of blockchain-based student certificate sharing system: A study on non-fungible token (NFT) utilization.
MDPI. (2022). Applying the Technology Acceptance Model to elucidate K-12 teachers’ use of digital learning platforms in Thailand during the COVID-19 pandemic. Sustainability, 14(10), 6027.
Nookhao, S., et al. (2023). Achieving a successful e-government: Factors influencing behavioural intention in using e-government services from the perspective of citizens. Heliyon, 9(8), e19147. https://doi.org/10.1016/j.heliyon.2023.e19147
Salar, H. C. (2022). The role of perceived ease of use and perceived usefulness of cloud computing systems in education. Open Praxis, 14(2), 142–155. https://doi.org/10.55982/openpraxis.14.2.142
Suteja, B. R., Imbar, R. V., & Johan, M. C. (2020). E-Certificate system based on Portable Document Format and QR Code for academic activities. IJCSI International Journal of Computer Science, 17(6).
Suteja, B. R. (2019). Implementation of QR Code on E-Certificate for the event at Maranatha Christian University. In Prosiding Seminar Nasional Teknologi Informasi dan Kedirgantaraan: Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara. Yogyakarta: SENATIK.
Suwita, F. S. (2023). An electronic certificate information system as a medium for distributing certificates online during the COVID-19 pandemic. International Journal of Research and Applied Technology, 308–315.
Tee, Y.-Y., Ting, M.-S., & Talib, A. N. A. (2024). Facilitating the influence on adopting e-wallets: An extended Technology Acceptance Model (TAM) approach. International Journal of Academic Research in Business and Social Sciences, 14(2), 880–892.
Utami, T. L. (2021). Technology adoption on online learning during Covid-19 pandemic: Implementation of the Technology Acceptance Model (TAM). Diponegoro International Journal of Business, 8–19.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Wu, R., Gao, L., Li, J., Huang, Q., & Pan, Y. (2024). Key factors influencing design learners’ behavioural intention in human–AI collaboration within the educational metaverse. Sustainability, 16(22), 9942. https://doi.org/10.3390/su16229942
Downloads
Published
How to Cite
Conference Proceedings Volume
Section
License
Copyright (c) 2026 Tuty Kamis, Abd Razak Md Nor, Azilawati Adam, Muhammad Subhi Ismail
This work is licensed under a Creative Commons Attribution 4.0 International License.
ECOSIA is licensed under a Creative Commons Attribution- 4.0 International Public License (CC - BY).
