Pengaruh Awareness Terhadap Adoption Intention Melalui Perceived Ease Of Use, Perceived Usefulness, Dan Perceived Intelligence Serta Moderasi Perceived Trust Pada Mahasiswa Pengguna Chatgpt Di Perguruan Tinggi Swasta Kota Bandung

Authors

  • Ahmad Naufal
  • Rajiv Dharma Mangruwa

Abstract

The evolution of generative artificial intelligence, particularly ChatGPT, has transformed higher education, but understanding of the determinants of Adoption Intention among students remains limited. This study analyzes the influence of Awareness on Adoption Intention through the mediation of Perceived Ease of Use, Perceived Usefulness, and Perceived Intelligence, with Perceived Trust as a moderator based on the modified Technology Acceptance Model (TAM) framework. Using quantitative methods, data were collected from ChatGPT users among students at private universities in Bandung and analyzed using PLS-SEM. The results show that Awareness has a positive effect on the three mediating variables. Perceived Ease of Use and Perceived Usefulness are proven to significantly increase Adoption Intention, while Perceived Intelligence has no significant effect. The moderation findings reveal that Perceived Trust only strengthened the relationship between Awareness and Perceived Ease of Use. Perceived Intelligence did not mediate the effect of Awareness on Adoption Intention. This study confirms that the factors of benefits and ease of use are more dominant in determining Adoption Intention than technological intelligence. This research provides theoretical contributions to the artificial intelligence adoption model and practical implications for educational institutions in promoting the ethical use of this technology.. Keywords: Artificial Intelligence, ChatGPT, TAM, Awareness, Adoption Intention

References

Abu Shanab, E., & AbuShanab, A. (2022). The Influence of Emotional Intelligence on Technology Adoption and Decision-Making Process. International Journal of Applied Decision Sciences, 1(1), 1. https://doi.org/10.1504/ijads.2022.10041125

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

Ali, F., Yasar, B., Ali, L., & Dogan, S. (2023). Antecedents and consequences of travelers’ trust towards personalized travel recommendations offered by ChatGPT. International Journal of Hospitality Management, 114. https://doi.org/10.1016/j.ijhm.2023.103588

Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244–254. https://doi.org/10.17705/1jais.00122

Barrette, C. M. (2015). Usefulness of technology adoption research in introducing an online workbook. System, 49, 133–144. https://doi.org/10.1016/j.system.2015.01.005

Benbasat, I., & Wang, W. (2005). Trust In and Adoption of Online Recommendation Agents. Journal of the Association for Information Systems, 6(3), 72–101. https://doi.org/10.17705/1jais.00065

Bhaskar, P., Misra, P., & Chopra, G. (2024). Shall I use ChatGPT? A study on Perceived Trust and perceived risk towards ChatGPT usage by teachers at higher education institutions. International Journal of Information and Learning Technology, 41(4), 428–447. https://doi.org/10.1108/IJILT-11-2023-0220

Chegg. (2025). Global Student Survey. Choi, J., Park, J., & Suh, J. (2023). Evaluating the Current State of ChatGPT and Its Disruptive Potential: An Empirical Study of Korean Users. Asia Pacific Journal of Information Systems, 33(4), 1058–1092. https://doi.org/10.14329/APJIS.2023.33.4.1058

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

Dwihadiah, D., Gerungan, A., Purba, H., Studi Pendidikan Jarak Jauh Ilmu Komunikasi, P., & Pelita Harapan, U. (n.d.-a). Penggunaan ChatGPT di Kalangan Mahasiswa dan Dosen Perguruan Tinggi Indonesia. Dwihadiah, D., Gerungan, A., Purba, H., Studi Pendidikan Jarak Jauh Ilmu Komunikasi, P., & Pelita Harapan, U. (n.d.-b). Penggunaan ChatGPT di Kalangan Mahasiswa dan Dosen Perguruan Tinggi Indonesia. FakhrHosseini, S., Chan, K., Lee, C., Jeon, M., Son, H., Rudnik, J., & Coughlin, J. (2024). User Adoption of Intelligent Environments: A Review of Technology Adoption Models, Challenges, and Prospects. International Journal of Human-Computer Interaction, 40(4), 986–998. https://doi.org/10.1080/10447318.2022.2118851

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. In Source: MIS Quarterly (Vol. 27, Issue 1).

Gefen, D., & Straub, D. (2000). The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of ECommerce Adoption. Journal of the Association for Information Systems, 1(1), 1–30. https://doi.org/10.17705/1jais.00008

Godoe, P., & Johansen, T. S. (2012). Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept. Journal of European Psychology Students, 3, 38. https://doi.org/10.5334/jeps.aq

Granić, A. (2024). Technology adoption at individual level: toward an integrated overview. Universal Access in the Information Society, 23(2), 843–858. https://doi.org/10.1007/s10209-023-00974-3

Hair dkk. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Third Edition. Iba, Z., & Wardhana, A. (2023). Metode Penelitian (M.Pradana, Ed). Eureka Media Aksara.

Karahanna, E., & Straub, D. W. (1999). The psychological origins of Perceived Usefulness and ease-of-use. Kesharwani, A., & Bisht, S. S. (2012). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30(4), 303–322. https://doi.org/10.1108/02652321211236923

Lumantow Alfianne. (2025, April 29). Jumlah Mahasiswa di Jawa Barat Tahun Ajaran 2024 Capai 856.961, Turun Sedikit Dibanding Tahun Sebelumnya. https://manadopost.jawapos.com/mpedia/285943002/jumlahmahasiswa-di-jawa-barat-tahun-ajaran-2024-capai-856961-turun-sedikit-dibanding-tahun-sebelumnya

Maheshwari, G. (2023). Factors influencing students’ intention to adopt and use ChatGPT in higher education: A study in the Vietnamese context. Education and Information Technologies, 29(10), 12167–12195. https://doi.org/10.1007/s10639-023-12333-z

Mangruwa, R. D. (2024). How is Indonesia’s 5G Telecommunication Industry? Case Study of Promotion on Customer Loyalty Through Customer Satisfaction. 2024 Internasional Conference on Data Science adn Its Applications (ICoDSA), X, 162-167. https://doi.org/10.1109/icodsa62899.2024.10651832 Mangruwa, R. D., Amalia, S. F., & Rubiyanti, N. (2024). Investigating OTT Subscription Business in Indonesia: Analysis Perceived Value to Behavioral Intention Trough Mediator and Moderator Examination. 2024 International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2024, 902-907. https://doi.org/10.1109/ICICYTA64807.2024.10913209 Mangruwa, R. D., Khasanah, U., & Rubiyanti, N. (2024). How Content Marketing to Customer Advocacy Through Entertainment Intention Leverage in Social Media Platform?: The Evidence from Indonesia. 2024 International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2024, 702-707. https://doi.org?10.1109/ICICYTA64807.2024.10913209

Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. https://doi.org/10.1080/10864415.2003.11044275

Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on Perceived Usefulness and Perceived Ease of Use in on-line learning: An extension of the technology acceptance model. Information and Management, 42(2), 317–327. https://doi.org/10.1016/j.im.2003.12.013

Sekaran, & Bougie. (2016). Research Methods For Business: A Skill Building Approach, -7/E.www.wileypluslearningspace.com

Shahzad, M. F., Xu, S., & Javed, I. (2024). ChatGPT Awareness, acceptance, and adoption in higher education: the role of trust as a cornerstone. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00478-x

Singh Shubham. (2025, October 7). Latest ChatGPT Users Stats 2025 (Growth & Usage Report). https://www.demandsage.com/chatgpt-statistics/?utm_source=chatgpt.com

Statista. (2023). Main purposes of using ChatGPT in Indonesia as of November 2023. Https://Www.Statista.Com/Statistics/1493259/Indonesia-Main-Purposes-of-Using-Chatgpt/.

Statista. (2024). Share of higher education students using artificial intelligence (AI) tools for schoolwork worldwide as of July 2024. Https://Www.Statista.Com/Statistics/1498309/Usage-of-Ai-by-Students-Worldwide/.

Statista. (2025a). Most popular artificial intelligence (AI) applications worldwide in February 2025, by monthly active users. Https://Www.Statista.Com/Statistics/1609163/Top-Ai-Applications-Mau-Worldwide/.

Statista. (2025b). Number of AI tool users worldwide from 2020 to 2031. Https://Www.Statista.Com/Forecasts/1449844/Ai-Tool-Users-Worldwide.

Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79(2), 625–649. https://doi.org/10.3102/0034654308325896

Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960–967. https://doi.org/10.1016/j.promfg.2018.03.137

Published

2026-08-01

Issue

Pages

4798 - 4812

Section

Prodi S1 Administrasi Bisnis