Abstract :
The purpose of this study is to develop a deeper understanding of the factors influencing user intention to adopt Claude, an AI-based chatbot designed to provide ethical, safe, and high-context interaction.The study involves 200 respondents in Indonesia who have used AI at least once, with data analyzed using AMOS 21. The results show that initial trust has a positive and significant effect on perceived usefulness and perceived ease of use, while social influence also significantly enhances both perceptions. Perceived usefulness and perceived ease of use significantly influence users’ attitudes and directly affect their intention to use Claude. However, initial trust does not have a significant effect on attitude. Furthermore, attitude does not mediate the relationships between perceived usefulness or perceived ease of use and intention to use, indicating that behavioral intention is primarily shaped by direct cognitive evaluations rather than affective responses. Overall, perceived usefulness and perceived ease of use emerge as the main determinants of intention to use, with initial trust and social influence acting as important antecedents in shaping early user perceptions. This study extends TAM in the context of AI chatbot adoption and provides practical insights for improving AI acceptance among young users.
Keywords :
Attitude Toward Using, Initial Trust, Intention to Use, perceived ease of use, perceived usefulness, social influenceReferences :
- Abdalla, Rania A. M. (2024). Examining Awareness, Social Influence, And Perceived Enjoyment In The Tam Framework As Determinants Of Chatgpt. Personalization As A Moderator. Journal Of Open Innovation: Technology, Market, And Complexity, 10(3), 100327. Https://Doi.Org/10.1016/J.Joitmc.2024.100327
- (1991). The Theory Of Planned Behaviour. Health Communication, 50, 179–211. Https://Doi.Org/10.1080/10410236.2018.1493416
- Bahri, & Zamzam. (2015). Model Penelitian Kuantitatif Berbasis Sem-Amos. Deepublish.
- Choi, Jong Kyu, & Ji, Yong Gu. (2015). Investigating The Importance Of Trust On Adopting An Autonomous Vehicle. International Journal Of Human-Computer Interaction, 31(10), 692–702. Https://Doi.Org/10.1080/10447318.2015.1070549
- Choudhury, Avishek, & Shamszare, Hamid. (2023). Investigating The Impact Of User Trust On The Adoption And Use Of Chatgpt: Survey Analysis. Journal Of Medical Internet Research, 25(March). Https://Doi.Org/10.2196/47184
- Cooper, Donald R., & Schindler, Pamela S. (2014). Business Research Methods. In Mcgraw-Hill.
- Cresswell, John W. (2003). Research Design Qualitative, Quantitative. And Mixed Methods Approaches. In Awkward Dominion (Second). Https://Doi.Org/10.7591/9781501721144-016
- (2023). Chatgpt, Aplikasi Chatbot Ai Terpopuler Global Pada 2023. Retrieved From Https://Databoks.Katadata.Co.Id/Teknologi-Telekomunikasi/Statistik/66c7196f3fe1a/Chatgpt-Aplikasi-Chatbot-Ai-Terpopuler-Global-Pada-2023
- (1989). Technology Acceptance Models. The International Encyclopedia Of Health Communication, Pp. 1–8. Https://Doi.Org/10.1002/9781119678816.Iehc0776
- Edelman, Margot. (2024). Technology’s Tipping Point: Why Now Is The Time To Earn Trust In Ai. Retrieved From Https://Www.Weforum.Org/Stories/2024/03/Technology-Tipping-Point-Earn-Trust-Ai/
- Ferdinand, A. (2014). Metode Penelitian Manajemen (5th Ed.) (Edisi 5). Semarang: Badan Penerbit Universitas Diponegoro.
- Gefen, David, Karahanna, Elena, & Straub, Detmar W. (2003). Trust And Tam In Online Shopping: An Integrated Mode. Mis Quarterly, 27(1), 51–90.
- (2016). Model Pemasaran Struktural: Konsep Dan Aplikasi Dengan Program Amos 24 (Edisi 7). Bada Penerbit Universitas Diponegoro.
- Hair, Josep F., Babin, Barry J., Black, William C., & Anderson, Rolph E. (2018). Multivariate Data Analysis (8th Ed.). Cengage.
- Hair, Josep F., Hult, G. Thomas, Ringle, M., & Sarstedt, M. (2014). A Primer On Partial Least Squares Structural Equation Modeling (Pls-Sem). Retrieved From Https://Books.Google.Co.Id/Books?Hl=Id&Lr=&Id=Ifiaryxe1poc&Oi=Fnd&Pg=Pr1&Dq=Hair,+J.+F.,+Hult,+G.+T.+M.,+Ringle,+C.,+%26+Sarstedt,+M.+(2014).+A+Primer+On+Partial+Least+Squares+Structural+Equation+Modeling+(Pls-Sem).+Sage+Publications&Ots=Phmiz11hut&Sig=Gy
- (2025). Conflicting Global Perceptions Around Ai Present Mixed Signals For Brands. Retrieved From Https://Www.Ipsos.Com/En/Conflicting-Global-Perceptions-Around-Ai-Present-Mixed-Signals-Brands
- Kim, Dan J., Ferrin, Donald L., & Raghav Rao, H. (2009). Trust And Satisfaction, Two Stepping Stones For Successful E-Commerce Relationships: A Longitudinal Exploration. Information Systems Research, 20(2), 237–257. Https://Doi.Org/10.1287/Isre.1080.0188
- Kotler, & Armstrong. (2016). Sikap Masyarakat Pada Keputusan Pembelian.
- Koufaris, Marios, & Hampton-Sosa, William. (2004). The Development Of Initial Trust In An Online Company By New Customers. Information And Management, 41(3), 377–397. Https://Doi.Org/10.1016/J.Im.2003.08.004
- Lu, Lu, Cai, Ruiying, & Gursoy, Dogan. (2019). Developing And Validating A Service Robot Integration Willingness Scale. International Journal Of Hospitality Management, 80(January), 36–51. Https://Doi.Org/10.1016/J.Ijhm.2019.01.005
- Mcknight, D. Harrison, Choudhury, Vivek, & Kacmar, Charles. (2002). Developing And Validating Trust Measure For E-Commerce: An Integrative Typology. Information System Research. Information Systems Research, 13(3), 334–359.
- Mcknight, D. Harrison, Cummings, Larry L., & Chervany, Norman L. (1998). Initial Trust Formation In New Organizational Relationships. Academy Of Management Review, 23(3), 473–490. Https://Doi.Org/10.5465/Amr.1998.926622
- Mick, David Glen, & Fournier, Susan. (1998). Paradoxes Of Technology: Consumer Cognizance, Emotions, And Coping Strategies. Journal Of Consumer Research, 25(2), 123–143. Https://Doi.Org/10.1086/209531
- Padmanabhan, Sindu. (2023). Digital Transformation In Higher Education. (March), 59–69. Https://Doi.Org/10.4018/979-8-3693-0433-4.Ch005
- Pavlou, Paul A., Fygenson, Mendel, Pavlou, Paul A., & Fygenson, Mendel. (2013). Understanding And Predicting Electronic Commerce Adoption : An Extension Of The Theory Of Planned Behavior Qjarteny And Predicting Understanding Electronic An Extension Of Commerce Adoption : The Theory Of Planned Formed. 30(1), 115–143.
- (2025). How The U.S. Public And Ai Experts View Artificial Intelligence. Retrieved From Https://Www.Pewresearch.Org/Internet/2025/04/03/How-The-Us-Public-And-Ai-Experts-View-Artificial-Intelligence/
- Prasetya, Wiranata, & Lestari, Rahayu. (2024). The Influence Of Trust, Perceived Ease Of Use, Perceived Usefulness Through Attitudes On Intention To Use The Gopay Application In The Millennial Generation In South Jakarta. Costing: Journal Of Economic, Business And Accounting, 7.
- Prensky, Marc. (2001). Kemahiran Teknologi Mengacu Pada Kemampuan Individu. Retrieved From Https://Marcprensky.Com/
- Rianto, Muhammad Richo, & Yoganingsih, Tutiek. (2020). Pengaruh Religiusitas, Pengaruh Sosial Dan Dukungan Pemerintah Terhadap Minat Menabung Di Bank Syariah Mandiri – Bekasi. Jurnal Ilmiah Akuntansi Dan Manajemen (Jiam), 16. Retrieved From Https://Www.Researchgate.Net/Profile/Muhammad-Rianto/Publication/368449550_Cahyadi9artikelmrichorh76-83/Links/63e7c1736425237563a6b7d2/Cahyadi-9-Artikel-M-Richo-R-H76-83.Pdf
- Rogers, Everett M. (1962). Diffusion Of Innovations. In Achieving Cultural Change In Networked Libraries (Third Edit). Https://Doi.Org/10.4324/9781315263434-16
- Schepers, Jeroen, & Wetzels, Martin. (2007). A Meta-Analysis Of The Technology Acceptance Model: Investigating Subjective Norm And Moderation Effects. Information And Management, 44(1), 90–103. Https://Doi.Org/10.1016/J.Im.2006.10.007
- Sekaran, Uma, & Bougie, Roger. (2016). Research Methods For Business: A Skill Building Approach (Seventh Ed). Retrieved From Http://Lccn.Loc.Gov/2015051045
- Sun, Heshan, & Zhang, Ping. (2006). The Role Of Moderating Factors In User Technology Acceptance. International Journal Of Human Computer Studies, 64(2), 53–78. Https://Doi.Org/10.1016/J.Ijhcs.2005.04.013
- Venkatesh; Viaswanath, & Davis; Fred D. (2000). A Theoretical Extension Of The Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. Retrieved From Https://Www.Jstor.Org/Stable/Pdf/2634758.Pdf
- Venkatesh, Viswanath, & Bala, Hillol. (2008). Technology Acceptance Model 3 And A Research Agenda On Interventions; Decision Sciences, Vol. 39 (2) Pp 273 – 315. Decision Sciences Institute, 39(2), 273–315.
- Venkatesh, Viswanath, & Davis, Fred D. (2000). Theoretical Extension Of The Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. Https://Doi.Org/10.1287/Mnsc.46.2.186.11926
- Venkatesh, Viswanath, Morris, Michael G., Davis, Gordon B., & Davis, Fred D. (2003). User Acceptance Of Information Technology: Toward A Unified View. Mis Quarterly, 27(3), 425–478. Https://Doi.Org/10.1016/J.Inoche.2016.03.015
- Wang, Yinglei, Meister, Darren B., & Gray, Peter H. (2013). Social Influence And Knowledge Management Systems Use: Evidence From Panel Data1. Management Information Systems Quarterly, 299–313. Retrieved From Https://Aisel.Aisnet.Org/Misq/Vol37/Iss1/14/
- Yao, Enjian, Guo, Dongbo, Liu, Shasha, & Zhang, Junyi. (2024). The Role Of Technology Belief, Perceived Risk And Initial Trust In Users’ Acceptance Of Urban Air Mobility: An Empirical Case In China. Multimodal Transportation, 3(4), 100169. Https://Doi.Org/10.1016/J.Multra.2024.100169

