The Impact of Analytic-Based Core Tax System Implementation in The Public Sector: An Innovation Resistance Theory (IRT) approach from the greater Jakarta area
-
https://doi.org/10.14419/y7j3qg31
Received date: February 4, 2026
Accepted date: March 4, 2026
Published date: March 19, 2026
-
Coretax; Innovation Resistance Theory (IRT); Taxpayers; Innovation Barriers; Technology Adoption -
Abstract
This study focuses on the Coretax system analysis using the Innovation Resistance Theory (IRT) framework. In contrast to the dominant research stream that examines acceptance (TAM/UTAUT), this study emphasizes resistance barriers values, traditions, risks, complexity, and image as determinants of intention and actual use. Innovation Resistance Theory (IRT) is used to analyze five types of barriers: values, traditions, risks, complexity, and image. Data were collected through a survey of 155 registered Coretax taxpayers and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). Theoretically, this study extends the application of IRT to the digital pub-lic sector, specifically analytics-based tax technology. The findings confirm that risk and tradition Barriers are more dominant than risk or Image Barriers are more dominant in explaining user resistance to technology adoption, while value, complexity, and image barriers do not show a significant influence, thus providing empirical enrichment to the technology adoption literature in the public sector.
-
References
- AlHujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitude toward e-government adoption and use. Computers in Human Behavior, 53, 189–203. https://doi.org/10.1016/j.chb.2015.06.025.
- Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies, 2(2), 285–309.
- Claudy, M. C., Garcia, R., & O’Driscoll, A. (2015). Consumer resistance to innovation: A behavioral reasoning perspective. Journal of the Academy of Marketing Science, 43(4), 528–544. https://doi.org/10.1007/s11747-014-0399-0.
- Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
- Direktorat Jenderal Pajak. (2020). Laporan tahunan Direktorat Jenderal Pajak 2020. https://www.pajak.go.id/
- Direktorat Jenderal Pajak. (2024). Coretax system and tax administration. https://www.pajak.go.id/
- Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of tech-nology (UTAUT): Toward a revised theoretical model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y.
- Fitriani, F., Nurmandi, A., Lawelai, H., Kasiwi, A. N., & Younus, M. (2025). Trends and challenges of digital transformation in the public sector: Policy implications for improving public services in Indonesian. Jurnal Aristo (Social, Politic, Humaniora), 13(2), 681–705. https://doi.org/10.24269/ars.v13i2.11288
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.
- Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.
- Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications Inc.
- Heidenreich, S., & Handrich, M. (2015). What about passive innovation resistance? Investigating adoption-related behavior from a resistance per-spective. Journal of Product Innovation Management, 32(6), 878–903. https://doi.org/10.1111/jpim.12161.
- Heidenreich, S., & Kraemer, T. (2016). Innovations: Doomed to fail? Investigating strategies to overcome passive innovation resistance. Journal of Product Innovation Management, 33(3), 277–297. https://doi.org/10.1111/jpim.12273.
- Hsieh, J. J. P.-A., Rai, A., & Keil, M. (2011). Addressing digital inequality for the socioeconomically disadvantaged through government initiatives: Forms of capital that affect ICT utilization. Information Systems Research, 22(2), 233–253. https://doi.org/10.1287/isre.1090.0256.
- Laukkanen, P., Sinkkonen, S., & Laukkanen, T. (2008). Consumer resistance to Internet banking: Postponers, opponents and rejectors. International Journal of Bank Marketing, 26(6), 440–455. https://doi.org/10.1108/02652320810902451.
- Laukkanen, T. (2016). Consumer adoption vs. rejection decisions in seemingly similar service innovations: The case of the Internet and mobile bank-ing. Journal of Business Research, 69(7), 2432–2439. https://doi.org/10.1016/j.jbusres.2016.01.013.
- OECD. (2020). Tax administration 2020: Comparative information on OECD and other advanced and emerging economies. OECD Publishing.
- Peters, B. G., & Pierre, J. (2018). The next public administration: Debates and dilemmas. SAGE Publications. https://doi.org/10.4135/9781473920569.
- Plekhanov, D., Franke, H., & Netland, T. H. (2023). Digital transformation: A review and research agenda. European Management Journal. https://doi.org/10.1016/j.emj.2022.09.007.
- Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: The marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5–14. https://doi.org/10.1108/EUM0000000002542.
- Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). Wiley.
- Talukder, M. S., Quazi, A., & Dzulkifli, M. (2020). Examining the role of perceived usefulness, ease of use and user acceptance in adoption of in-novation: A study of the innovation resistance model. Journal of High Technology Management Research, 31(2), 100391. https://doi.org/10.1016/j.hitech.2020.100391.
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quar-terly, 27(3), 425–478. https://doi.org/10.2307/30036540.
- Yoon, K., Hoogduin, L., & Zhang, L. (2015). Big data as complementary audit evidence. Accounting Horizons, 29(2), 431–438. https://doi.org/10.2308/acch-51068.
-
Downloads
-
How to Cite
Muchtar , K. ., & Sundjaja, A. M. . (2026). The Impact of Analytic-Based Core Tax System Implementation in The Public Sector: An Innovation Resistance Theory (IRT) approach from the greater Jakarta area . International Journal of Accounting and Economics Studies, 13(2), 526-539. https://doi.org/10.14419/y7j3qg31
