Extension of Utaut's Theory on Central Java, Indonesia’s Acceptance of Tax E-Filling Applications

Diana Airawaty; Hasim As'ari; Zaenal Wafa

Penulis

Diana Airawaty Accounting Departement, Faculty of Economics, Universitas Mercu Buana Yogyakarta
Hasim As'ari Accounting Departement, Faculty of Economics, Universitas Mercu Buana Yogyakarta
Zaenal Wafa Accounting Departement, Faculty of Economics, Universitas Mercu Buana Yogyakarta

Kata Kunci:

Personal Taxpayers, Tax E-Filing, UTAUT

Abstrak

This study investigates the utilization of computer programs for online tax filing among individual taxpayers in Central Java. This study surveyed taxpayers in the region by using the Purposive Sampling Method and extending the Unified Technology Acceptance and Application Theory (UTAUT). Findings reveal significant effects of performance expectancy and social influence factors on effort expectancy and behavioral intention to accept tax e-filing. However, this study did not establish empirical support for the impact of social influence and effort expectancy on behavioral intention. The novelty of extending the UTAUT framework contributes to advancing theory development in information systems research. This study contributes to understanding the adoption and acceptance of technological innovations, particularly in the context of tax e-filing practices in Central Java, explaining the factors that influence user behavior and acceptance levels.

Unduhan

Data unduhan belum tersedia.

Referensi

Affiza Mohd Tallaha, Zaleha Abdul Shukor, & Norul Syuhada Abu Hassan. (2014). Factors influencing e-filing usage among Malaysian taxpayers: Does tax knowledge matter? Journal Pengurusan.

Akram, M., & Sulaiman, R. B. (2019). Comparative web accessibility evaluation of Saudi government websites for compliance with WCAG 1.0 and WCAG 2.0 using automatic web accessibility tools. Journal of Theoretical and Applied Information Technology, 97(10), 2656–2668. https://doi.org/10.5281/zenodo.3256498

Andriani, F. D., Napitupulu, T. A., & Haryaningsih, S. (2017). The user acceptance factors of the e-filing system in Pontianak. Journal of Theoretical and Applied Information Technology, 95(17), 4265–4272.

Aziz, S. A., & Idris, K. M. (2016). The impact of incentive alignment on behavioral acceptance. International Journal of Economics and Financial Issues, 6(4), 78–84.

Bhuasiri, W., Zo, H., Lee, H., & Ciganek, A. P. (2016). User Acceptance of e-government Services: Examining an e-tax Filing and Payment System in Thailand. Information Technology for Development, 22(4), 672–695. https://doi.org/10.1080/02681102.2016.1173001

Chen, C. W. (2010). Impact of quality antecedents on taxpayer satisfaction with online tax-filing systems: An empirical study. Information and Management, 47(5–6), 308–315. https://doi.org/10.1016/j.im.2010.06.005

Chen, J. V., Jubilado, R. J. M., Capistrano, E. P. S., & Yen, D. C. (2015). Factors affecting online tax filing—An application of the IS Success Model and trust theory. Computers in Human Behavior, 43, 251–262. https://doi.org/10.1016/j.chb.2014.11.017

Davis et al. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models.

Gunter, S. R. (2019). Your biggest refund, guaranteed? Internet access, tax filing method, and reported tax liability. International Tax and Public Finance, 26(3), 536–570. https://doi.org/10.1007/s10797-018-9528-x

Gupta, K., & Arora, N. (2019). Investigating consumer intention to accept mobile payment systems through the unified theory of acceptance model: An Indian perspective. South Asian Journal of Business Studies, 2016. https://doi.org/10.1108/SAJBS-03-2019-0037

Koong, K. S., Bai, S., Tejinder, S., & Morris, C. (2019). Advancements and forecasts of electronic tax returns and informational filings in the US. International Journal of Accounting and Information Management, 27(2), 352–371. https://doi.org/10.1108/IJAIM-06-2018-0072

Rifat, A., Nisha, N., & Iqbal, M. (2019). Predicting e-tax service adoption: Integrating perceived risk, service quality, and TAM. Journal of Electronic Commerce in Organizations, 17(3), 71–100. https://doi.org/10.4018/JECO.2019070105

Schaupp, L. C., & Carter, L. (2010). The impact of trust, risk, and optimism bias on e-file adoption. Information Systems Frontiers, 12(3), 299–309. https://doi.org/10.1007/s10796-008-9138-8

Wong, K. K.-K. (2013). Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS.

Zaidi, S. K. R., Henderson, C. D., & Gupta, G. (2017). The moderating effect of culture on e-filing taxes: Evidence from India. Journal of Accounting in Emerging Economies, 7(1), 134–152. https://doi.org/10.1108/jaee-05-2015-0038