Extending Utaut To Investigate Tax E-Filing Acceptance In Central Java

Diana Airawaty, Hasim As’ari, Zaenal Wafa

Abstract


This study investigates the utilization of a computer program for online tax filing among individuals in Central Java. Employing the Purposive Sampling Method and extending the Unified Theory of Acceptance and Use of Technology (UTAUT), the research surveyed taxpayers in the region. The findings reveal significant effects of performance expectancy and social influence factors on effort expectancy and behavioral intention towards accepting tax e-filing. However, empirical support for the impact of social influence and effort expectancy on behavioral intention was not established in this study. The novelty of extending the UTAUT framework contributes to advancing theory development in information systems research. This research contributes to understanding the adoption and acceptance of technological innovations, specifically within the context of tax e-filing practices in Central Java, shedding light on factors influencing user behavior and acceptance levels


Keywords


Personal Tax-Payers; online tax filing; UTAUT

Full Text:

PDF

References


Affiza Mohd Tallaha, Zaleha Abdul Shukor, & Norul Syuhada Abu Hassan. (2014). Factors influencing e-filing usage among malaysian taxpayers: Does tax knowledge matters? Jurnal 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 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 in 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 Theoritical 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 unified theory of acceptance model: An Indian perspective. South Asian Journal of Business Studies, 2016. https://doi.org/10.1108/SAJBS-03-2019-0037

Affiza Mohd Tallaha, Zaleha Abdul Shukor, & Norul Syuhada Abu Hassan. (2014). Factors influencing e-filing usage among malaysian taxpayers: Does tax knowledge matters? Jurnal 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 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 in 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 Theoritical 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 unified theory of acceptance model: An Indian perspective. South Asian Journal of Business Studies, 2016. https://doi.org/10.1108/SAJBS-03-2019-0037

Extending Utaut To Investigate Tax E-Filing Acceptance In Central Java

..............................( Diana Airawaty, Hasim As’ari, Zaenal Wafa)...................................125

Koong, K. S., Bai, S., Tejinder, S., & Morris, C. (2019). Advancements and forecasts of electronic tax return 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




DOI: http://dx.doi.org/10.36448/jak.v15i2.3969

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.