Application of TAM model to the use of information technology


  • Harryanto .
  • Muchriana Muchran
  • Ansari Saleh Ahmar



Technology Acceptance Model, Perceived Ease of Use, Perceived Usefulness, Experience, Intention to Use.


The purpose of this research is to see the application of modified TAM model by entering the experiential variable as a moderation variable to see one's intention in the use of technology especially internet banking. Data obtained through the distribution of questionnaires to cus-tomers. The study population is bank customers registered as users of internet banking services. The sample selection used a simple random sampling technique. Hypothesis testing using Partial Least Square (PLS) method through AMOS program. The results showed that the proposed five hypothesis, two significant and three insignificant. Perceived ease of use is significantly related to perceived usefulness. Per-ceived usefulness is not significantly related to intention to use. Perceived ease of use is significantly related to intention to use moderated by experience and not significantly correlated with intention to use moderated by the Experience.



[1] D. Lazim et al., “Information Management and PSM Evaluation System,†Int. J. Eng. Technol., vol. 7, no. 1.6, pp. 17–19, 2018.

[2] F. A. A. Fauzy et al., “Registration System and UTM Games Decision Using the Website Application,†Int. J. Eng. Technol., vol. 7, no. 2.2, pp. 45–47, 2018.

[3] F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,†Manage. Sci., vol. 35, no. 8, pp. 982–1003, 1989.

[4] K. Mathieson, “Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior,†Inf. Syst. Res., vol. 2, no. 3, pp. 173–191, 1991.

[5] P. Y. K. Chau and P. J. Hu, “Examining a model of information technology acceptance by individual professionals: An exploratory study,†J. Manag. Inf. Syst., vol. 18, no. 4, pp. 191–229, 2002.

[6] F. D. Davis, “A technology acceptance model for empirically testing new end-user information systems: Theory and results,†1985.

[7] I. Ajzen and M. Fishbein, Understanding attitudes and predicting social behavior, vol. 278. 1980.

[8] C. Gardner and D. L. Amoroso, “Development of an instrument to measure the acceptance of Internet technology by consumers,†in 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the, 2004, p. 10 pp.

[9] S. Taylor and P. Todd, “Assessing IT usage: The role of prior experience,†MIS Q., pp. 561–570, 1995.

[10] M. Amalia, Mudjahidin, and W. Anggraeni, “Analisis Faktor Penyebab Kepuasan Pelanggan Terhadap Penggunaan Internet Banking Berdasarkan Efek Pengalaman Dengan Metode Partial Least Square (Studi Kasus : Bank Swasta Dan Bank Bumn),†J. Tek. Pormits, vol. 1, no. 1, pp. 1–6, 2012.

[11] H. M. Jogiyanto, “Metodologi Penelitian Sistem Informasi,†Yogyakarta Penerbit Andi, 2008.

[12] Y.-S. Wang, Y.-M. Wang, H.-H. Lin, and T.-I. Tang, “Determinants of user acceptance of Internet banking: an empirical study,†Int. J. Serv. Ind. Manag., vol. 14, no. 5, pp. 501–519, 2003.

[13] S. A. Al-Somali, R. Gholami, and B. Clegg, “Internet banking acceptance in the context of developing countries: An extension of the Technology Acceptance Model,†in European Conference on Management of Technology, 2008.

[14] F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “Extrinsic and intrinsic motivation to use computers in the workplace,†J. Appl. Soc. Psychol., vol. 22, no. 14, pp. 1111–1132, 1992.

[15] M. Igbaria, T. Guimaraes, and G. B. Davis, “Testing the determinants of microcomputer usage via a structural equation model,†J. Manag. Inf. Syst., vol. 11, no. 4, pp. 87–114, 1995.

[16] E. Karahanna and D. W. Straub, “The psychological origins of perceived usefulness and ease-of-use,†Inf. Manag., vol. 35, no. 4, pp. 237–250, 1999.

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