Perspektif Model TAM Dalam Adaptasi Pembelajaran Akuntansi Melalui E-Learning Selama Pandemi COVID-19

Ira Setiawati, Paulus Th. Basuki Hadiprajitno, Muhammad Noor Ardiansah

Abstract


This study aims to analyze students' intention to do online-accounting learning during the Covid-19 pandemic by adapting the Technology Acceptance Model (TAM) model. Testing the TAM model during a pandemic in the Indonesia context is expected to reveal the determinants of behavior in online accounting learning, which requires a comprehensive acknowledgment of knowledge, skills, and attitude, directly affected during a pandemic. The population is accounting students in Central Java, who were given an online questionnaire. A sample of 766 data was analyzed with the equation model structure (SEM) using WrapPLS. The results show that Perceived Ease of Use, Perceived Usefulness has a significant effect on E-Learning Actual Usage mediated by the Behavior Intention variable. These results further strengthen the TAM model in the context of the Covid-19 pandemic.


Keywords


TAM, accounting e-learning, Behaviour Intention, Perceived Ease of Use, Perceived Usefulness

References


Alomary, A., and Woollard, J. 2015. How Is Technology Accepted by Users ? A Review of Technology Acceptance Models and Theories.

Alsabawy, A. Y., Cater-Steel, A., and Soar, J. 2016. Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 64, 843–858. https://doi.org/10.1016/j.chb.2016.07.065

Caldarelli, A., Ferri, L., Maffei, M., and Span, R. 2019. Accountants Are from Mars , ICT Practitioners Are from Venus . Predicting Technology Acceptance Between Two Groups, 27–38. https://doi.org/10.1007/978-3-319-90500-6

Chao, R., and Chen, Y. 2009. Expert Systems with Applications Evaluation of the criteria and effectiveness of distance e-learning with consistent fuzzy preference relations. Expert Systems With Applications, 36(7), 10657–10662.

Chuttur, M. 2009. Overview of the Technology Acceptance Model : Origins , Developments and Future Directions. Sprouts. Retrieved from http://sprouts.aisnet.org/9-37

Davis, F. D. 1985. A Technology Acceptance Model for Empirically Testing New End-User Information Systems, (January 1985).

Davis, F. D. 1989. Perceived Usefulness , Perceived Ease of Use , and User Acceptance of Information Technology. MIS Quarterly, 3 https://doi.org/10.2307/249008

El-seoud, M. S. A., Taj-Eddin, I. A. T. ., Seddiek, N., El-khouly, M. M., & Nosseir, A. 2014. E-Learning and Students ’ Motivation : A Research Study on the Effect of E-Learning on Higher Education. IJET, 9(4), 20–26.

Hasanat, M. W., Hoque, A., Shikha, F. A., Anwar, M., Abdul Hamid, A. B., and Hon Tat, H. 2020. The Impact of Coronavirus (Covid-19) on E-Business in Malaysia. Asian Journal of Multidisciplinary Studies, 3(1), 85–90.

Hsiao, C. H., and Tang, K. Y. 2014. Explaining Undergraduates’ Behavior Intention of e-Textbook Adoption: Empirical Assessment of Five Theoretical Models. Library Hi Tech, 32(1), 139–163.

Hussein, Z. 2017. Leading to Intention: The Role of Attitude in Relation to Technology Acceptance Model in E-Learning. Procedia-Procedia Computer Science, 105, 159–164.

Iqbal, J., and Arisman. 2018. Metode Pembelajaran E-Learning Menggunakan Technology Acceptance Modelling ( TAM ) Untuk Pembelajaran Akuntansi. Jurnal InFestasi, 14(2), 116–125.

Jogiyanto, H. M. 2008. Metode Penelitian Sistem Informasi. Yogyakarta: Penerbit Andi.

Larasati, I. M., and Andjarwati, A. L. 2019. Pengaruh perceived ease of use dan perceived usefulness terhadap niat mengguakan internet banking dengan sikap sebagai variabel intervening. Jurnal Ilmu Manajemen, 7(1), 143–150.

Latan H & Ghozali I. 2017. Partial Least Square. Konsep, Metode dan Aplikasi Menggunakan Program WrapPLS 5.0 (3rd ed.).

Peslak, A. 2017. Ethics and Moral Intensity : An Analysis of Information Technology and General Education Students. Information System Education Journal, 5(26), 1–12.

Rahayu, F. S., Budiyanto, D., and Palyama, D. 2017. Analisis Penerimaan e-Learning Menggunakan Technology Acceptance Model ( TAM ) ( Studi Kasus : Universitas Atma Jaya Yogyakarta ). JUTEI, 1(2). https://doi.org/10.21460/jutei.2017.12.20

Rahmawati, R and Narsa, I. 2019. Intention to Use e-Learning : Aplikasi Technology Acceptance Model ( TAM ). Owner, Riset & Jurnal Akuntansiuntansi, 3(August). https://doi.org/10.33395/owner.v3i2.151

Rosenberg, M. J. 2002. E-Learning : Strategies for Delivering Knowledge in The Digital Age (Vol. 41). McGraw-Hill Professional Publishing. Retrieved from www.ispi.org

Rusman. 2012. Belajar dan Pembelajaran Berbasis Komputer: Mengembangkan Profesionalisme Guru Abad 21. Bandung: Alfa Beta.

Schroeder, D., and Singleton, T. 2010. Implementing the IT-Related Aspects of Risk-Based Auditing Standards. The CPA Journal, 80(7), 66–71.

Smith, R., Clark, T., and Blomeyer, R. L. 2005. A Synthesis of New Research on K – 12 Online Learning.

Surendran, P. 2012. Technology Acceptance Model : A Survey of Literature. International Journal of Business and Social Research (IJBSR), 2(4), 175–178.




DOI: https://doi.org/10.24167/jab.v19i1.3471



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