Published: 2026-07-01

Pengaruh Self-Determination Theory dan Kepercayaan Pengguna terhadap Niat Adopsi AI ChatGPT dengan Karakteristik Teknologi sebagai Variabel Mediasi

DOI: 10.35870/emt.v10i3.6167

Adnin Canina Rayyan, Nurdian Susilowati
  • Adnin Canina Rayyan: Univesitas Negeri Semarang
  • Nurdian Susilowati: Univesitas Negeri Semarang
Cover Jurnal EMT KITA Vol 10 No 3 Juli 2026
Article Metrics
Share:

Abstract

The use of AI ChatGPT is increasing in higher education environments. This study aims to analyze the influence of SELF-Determination Theory, which includes Perceived Autonomy, Perceived Competence, and Perceived Relatedness, as well as user trust, on the adoption intention of AI ChatGPT, with Technology Characteristics as a mediating variable. The research sample consisted of 117 Accounting Education students from the 2023 intake who were selected using probability sampling techniques. The research method used was a quantitative approach with Structural Equation Modeling analysis based on Partial Least Squares (SEM - PLS). The results showed that Self-Determination Theory and user trust had a positive effect on the adoption intention of AI ChatGPT and acted as mediating variables in the relationship between the independent variables and adoption intention. The conclusion of this study confirms that fulfilling psychological needs, user trust, and technology characteristics need to be considered to encourage optimal adoption of AI ChatGPT in the education sector.

Keywords

Self-Determination Theory; User Trust; Technology Characteristics; Adoption Intention; AI ChatGPT

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges.

How to Cite

Rayyan, A. C., & Susilowati, N. (2026). Pengaruh Self-Determination Theory dan Kepercayaan Pengguna terhadap Niat Adopsi AI ChatGPT dengan Karakteristik Teknologi sebagai Variabel Mediasi. Jurnal EMT KITA, 10(3), 1187-1199. https://doi.org/10.35870/emt.v10i3.6167
Article Information

This article has been peer-reviewed and published in the Jurnal EMT KITA. The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 10 No. 3 (2026)

  • Section: Articles

  • Published: 2026-07-01

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem.

Semantic Scholar Scite Dimensions Connected Papers
Scholarly Connection Platforms
Dimensions Dimensions Connected Papers Connected Papers Scite Scite Google Scholar Google Scholar Semantic Scholar Semantic Scholar Garuda Garuda Scilit Scilit Crossref Crossref BASE BASE Zenodo Zenodo Unpaywall Unpaywall OpenCitations OpenCitations
Author Biographies
Adnin Canina Rayyan, Univesitas Negeri Semarang
Google Scholar ResearchGate ORCID

Fakultas Ekonomika dan Bisnis, Univesitas Negeri Semarang, Kota Semarang, Provinsi Jawa Tengah, Indonesia.

Nurdian Susilowati, Univesitas Negeri Semarang
Google Scholar ResearchGate ORCID

Fakultas Ekonomika dan Bisnis, Univesitas Negeri Semarang, Kota Semarang, Provinsi Jawa Tengah, Indonesia.

References
  • Abbas, M., Jam, F. A., & Khan, T. I. (2024). Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00444-7.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Abdaljaleel, M., Barakat, M., Alsanafi, M., Salim, N. A., Abazid, H., Malaeb, D., Mohammed, A., Hassan, B., Wayyes, A., Sinan, AlZayer, R., Khalil, R., Fekih-Romdhane, F., Hallit, R., Hallit, S., & Sallam, M. (2024). A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT. Scientific Reports, 14(1), 1–14. https://doi.org/10.1038/s41598-024-52549-8.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Alon-Barkat, S., & Busuioc, M. (2023). Human-AI interactions in public sector decision making: “Automation bias” and “selective adherence” to algorithmic advice. Journal of Public Administration Research and Theory, 33(1), 153–169. https://doi.org/10.1093/jopart/muac007.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Atf, Z., & Lewis, P. R. (2025). Is trust correlated with explainability in AI? A meta-analysis. [Data sumber belum lengkap], 1–9. https://doi.org/10.1109/TTS.2025.3558448.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Bergdahl, J., Latikka, R., Celuch, M., Savolainen, I., Soares Mantere, E., Savela, N., & Oksanen, A. (2023). Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives. Telematics and Informatics, 82, 102013. https://doi.org/10.1016/j.tele.2023.102013.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Cao, C. C., Ding, Z., Lin, J., & Hopfgartner, F. (2023). AI chatbots as multi-role pedagogical agents: Transforming engagement in CS education. arXiv. http://arxiv.org/abs/2308.03992.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00411-8.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Chen, K. C., & Jang, S. J. (2010). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741–752. https://doi.org/10.1016/j.chb.2010.01.011.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Digital Education Council. (2024). Key results from DEC global AI student survey 2024.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task ± technology fit constructs. [Data sumber belum lengkap], 36, 9–21.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., ... Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57. https://doi.org/10.1016/j.ijinfomgt.2019.08.002.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Ferrari, A., Punie, Y., & Bre, B. N. (2013). DIGCOMP: A framework for developing and understanding digital competence in Europe. https://doi.org/10.2788/52966.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Gefen, D., Karahanna, E., & Straub, D. W. S. (2003). Trust and TAM in online shopping: An integrated model. Management Information Systems Research Center, 27(1), 51–90.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627–660. https://doi.org/10.5465/annals.2018.0057.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Goodhue, D. L., & Thompson, R. L. (1995). Taming the complexity of biological pathways through parallel computing. Management Information Systems Research Center, 19(2), 213–236. https://doi.org/10.1093/bib/bbp020.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Grant, J., Kraus, S., & Wooldridge, M. (2010). Intentions in equilibrium. Proceedings of the AAAI Conference on Artificial Intelligence, 24(1), 786–791. https://doi.org/10.1609/aaai.v24i1.7632.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • He, J., Wang, Q., & Lee, H. (2025). Enhancing online learning engagement: Teacher support, psychological needs satisfaction and interaction. [Data sumber belum lengkap].
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Helmiatin, Hidayat, A., & Kahar, M. R. (2024). Investigating the adoption of AI in higher education: A study of public universities in Indonesia. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2380175.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Hung, M. C., Chang, I. C., & Hwang, H. G. (2011). Exploring academic teachers’ continuance toward the web-based learning system: The role of causal attributions. Computers and Education, 57(2), 1530–1543. https://doi.org/10.1016/j.compedu.2011.02.001.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Montag, C., Kraus, J., Baumann, M., & Rozgonjuk, D. (2023). The propensity to trust in (automated) technology mediates the links between technology self-efficacy and fear and acceptance of artificial intelligence. Computers in Human Behavior Reports, 11, 100315. https://doi.org/10.1016/j.chbr.2023.100315.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Pan, X. (2023). Online learning environments, learners’ empowerment, and learning behavioral engagement: The mediating role of learning motivation. SAGE Open, 13(4), 1–16. https://doi.org/10.1177/21582440231205098.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Reeve, J. (2006). Teachers as facilitators: What teachers do and why their students benefit. Elementary School Journal, 106(3), 225–236.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in Human Behavior, 24(4), 1585–1604. https://doi.org/10.1016/j.chb.2007.06.001.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Rosli, Saleh, Ali, Bakar, & Tahir. (2022a). A systematic review of the technology acceptance model for the sustainability of higher education during the COVID-19 pandemic and identified research gaps. Sustainability, 14(18). https://doi.org/10.3390/su141811389.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Rosli, Saleh, Ali, Bakar, & Tahir. (2022b). Self-determination theory and online learning in university: Advancements, future direction and research gaps. Sustainability, 14(21), 1–21. https://doi.org/10.3390/su142114655.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Ryan, R., & Deci, E. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Schulte, E., Scheller, F., Sloot, D., & Bruckner, T. (2022). A meta-analysis of residential PV adoption: The important role of perceived benefits, intentions and antecedents in solar energy acceptance. Energy Research and Social Science, 84. https://doi.org/10.1016/j.erss.2021.102339.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Sharples, M. (2023). Towards social generative AI for education: Theory, practices and ethics. Learning: Research and Practice, 9(2), 159–167. https://doi.org/10.1080/23735082.2023.2261131.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Sukwika, T. (2023). Menentukan populasi dan sampling. In Metode penelitian (dasar praktik dan penerapan berbasis ICT). Mifandi Mandiri Digital.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Venkatesh, V., Thon, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. [Data sumber belum lengkap], 36(1), 157–178. https://doi.org/10.1109/MWSYM.2015.7167037.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Wang, W., Chen, L., Xiong, M., & Wang, Y. (2023). Accelerating AI adoption with responsible AI signals and employee engagement mechanisms in health care. Information Systems Frontiers, 25(6), 2239–2256. https://doi.org/10.1007/s10796-021-10154-4.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221–232. https://doi.org/10.1016/j.chb.2016.10.028.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
License & Copyright
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

1. Copyright Retention and Open Access License

Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

2. Rights Granted Under CC BY 4.0

Under this license, readers are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material for any purpose, including commercial use
  • No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed

3. Attribution Requirements

All uses must include:

  • Proper citation of the original work
  • Link to the Creative Commons license
  • Indication if changes were made to the original work
  • No suggestion that the licensor endorses the user or their use

4. Additional Distribution Rights

Authors may:

  • Deposit the published version in institutional repositories
  • Share through academic social networks
  • Include in books, monographs, or other publications
  • Post on personal or institutional websites

Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.

5. Self-Archiving and Pre-Print Sharing

Authors are encouraged to:

  • Share pre-prints and post-prints online
  • Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
  • Engage in scholarly communication throughout the publication process

6. Open Access Commitment

This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.

Downloads