The effect of algoritmics government, artificial intelligence, and tax service on tax compliance

Abstract

Taxes are an essential pillar of countries and nations. It contributes to the country's economic growth and support for sustainable development. Therefore, this study aims to investigate the effect of algorithmic government, artificial intelligence, and tax services on tax compliance. This research uses a quantitative approach with a survey method. The sample was 393 taxpayers. The research instrument used was a questionnaire designed on a Likert scale with five response options. The questionnaire was distributed via the WhatsApp application and email in Google Form format. Data were analyzed using regression. The results found that algorithmic government, AI, and tax services, partially and simultaneously, affect tax compliance among taxpayers. These findings provide insight into how tax compliance can be improved through algorithmic government, AI, and tax services. Therefore, researchers and practitioners can discuss the findings of this research critically and in depth before adapting and adopting them in their future work without ignoring the limitations of this research.

Keywords
  • Algorithmic Government
  • Artificial Intelligence
  • Tax Services
  • Tax Compliance
References
  1. Aggarwal, K., Mijwil, M. M., Al-Mistarehi, A.-H., Alomari, S., Gök, M., Alaabdin, A. M. Z., & Abdulrhman, S. H. (2022). Has the future started? The current growth of artificial intelligence, machine learning, and deep learning. Iraqi Journal for Computer Science and Mathematics, 3(1), 115–123. https://doi.org/10.52866/ijcsm.2022.01.01.013
  2. Akbulaev, N. (2024). The impact of tax revenue on Azerbaijan’s economic growth. Public Finance Quarterly= Pénzügyi Szemle, 70(1), 66–82. https://doi.org/10.35551/PFQ_2024_1_4
  3. Alkhatib, A. A., Hamad, M. Z., & Hermas, M. D. (2020). The impact of tax ethics and knowledge on tax compliance among Palestinian taxpayers. International Journal of Academic Research in Business and Social Sciences, 10(6), 346–352. https://doi.org/10.6007/IJARBSS/v10-i6/7305
  4. Alshira’h, A. F., & Abdul-Jabbar, H. (2020). Moderating role of patriotism on sales tax compliance among Jordanian SMEs. International Journal of Islamic and Middle Eastern Finance and Management, 13(3), 389–415. https://doi.org/10.1108/IMEFM-04-2019-0139
  5. Amoh, J. K., & Ali-Nakyea, A. (2019). Does corruption cause tax evasion? Evidence from an emerging economy. Journal of Money Laundering Control, 22(2), 217–232. https://doi.org/10.1108/jmlc-01-2018-0001
  6. Andriani, E., & Tarmidi, D. (2024). Assessing the role of services, incentives and tax knowledge moderation on tax compliance. Asian Journal of Economics, Business and Accounting, 24(4), 343–353.
  7. Belahouaoui, R., & Attak, E. H. (2024). Digital taxation, artificial intelligence and tax administration 3.0: Improving tax compliance behavior – A systematic literature review using textometry (2016–2023). Accounting Research Journal, 37(2), 172–191. https://doi.org/10.1108/arj-12-2023-0372
  8. Bin-Nashwan, S. A., Al-Hamedi, A. M., Marimuthu, M., & Al_Harethi, A. R. (2020). Study on system fairness dimensions and tax compliance in the Middle East context. Problems and Perspectives in Management, 18(1), 181–191.
  9. Bryndin, E. (2020). Standardization of artificial intelligence for the development and use of intelligent systems. Advances in Wireless Communications and Networks, 6(1), 1–9. https://doi.org/10.11648/j.awcn.20200601.11
  10. Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven: Yale University Press.
  11. Dekker, R., Koot, P., Birbil, S. I., & van Embden Andres, M. (2022). Co-designing algorithms for governance: Ensuring responsible and accountable algorithmic management of refugee camp supplies. Big Data & Society, 9(1), 1–15. https://doi.org/10.1177/20539517221087855
  12. Dradra, Z. (2024). Do energy transition and environmental taxation contribute to sustainable development? Evidence from OECD countries. Arab Gulf Journal of Scientific Research. https://doi.org/10.1108/AGJSR-05-2023-0195
  13. Dwork, C., & Roth, A. (2014). The Algorithmic Foundations of Differential Privacy. Foundations and Trends® in Theoretical Computer Science, 9(3–4), 211–407. https://doi.org/10.1561/0400000042
  14. Festic, N. (2022). Same, same, but different! Qualitative evidence on how algorithmic selection applications govern different life domains. Regulation & Governance, 16(1), 85–101. https://doi.org/10.1111/rego.12333
  15. Gritsenko, D., & Wood, M. (2022). Algorithmic governance: A modes of governance approach. Regulation & Governance, 16(1), 45–62. https://doi.org/10.1111/rego.12367
  16. Hermawan, P. (2022). A Study of Trust Base Voluntary Tax Compliance Through Tax Administration Digital Transformation in Indonesia. International Journal of Current Science Research and Review, 5(8), 3227–3238. https://doi.org/10.47191/ijcsrr/v5-i8-53
  17. Hou, Y., & Xu, X.-F. (2021). Research on art design and application of indoor environment based on Artificial Intelligence. In E3S Web of Conferences (Vol. 275, p. 3036). EDP Sciences. https://doi.org/10.1051/e3sconf/202127503036
  18. Imakulata, M., Mitan, W., & Rangga, Y. D. P. (2023). Pengaruh Kualitas Pelayanan Pajak Dan Pemahaman Peraturan Pajak Terhadap Kepatuhan Wajib Pajak Orang Pribadi Pada Kantor Pelayanan Pajak Pratama Maumere. Populer: Jurnal Penelitian Mahasiswa, 2(3), 229–246. https://doi.org/10.58192/populer.v2i3.1241
  19. Kamil, I. (2022). Influence artificial intelligence technology for e-filling and digital service tax (DST) in tax administration on tax compliance. International Journal of Management Studies and Social Science Research, 4(1), 144–156.
  20. Kasmir. (2017). Customer service axcellent teori dan pratek. Jakarta: PT. RajaGrapindo Persada.
  21. Katzenbach, C., & Ulbricht, L. (2019). Algorithmic governance. Internet Policy Review, 8(4), 1–18. https://doi.org/10.14763/2019.4.1424
  22. Kerlinger, F. N. (2006). Asas-asas penelitian behaviral. (P. L. R. Simatupang, Tran.). Yogyakarta: Gadjah Mawa University Press.
  23. Khamis, I. H., & Mastor, N. H. (2021). Service quality, tax awareness and tax fairness as determinants of tax compliance among e-commerce enterprises in Malaysia. International Journal of Academic Research in Business and Social Sciences, 11(2), 938–951. https://doi.org/10.6007/IJARBSS/v11-i2/9190
  24. Korir, J., Adoyo, P., Isaac, N., Aila, F. O., Mule, R. K., Ogut, A. S., ... & Momanyi, G. (2015). Determinants of tax compliance among small taxpayers in Western Kenya. Greener Journal of Economics and Accountancy, 4(1), 009-020.
  25. Lois, P., Drogalas, G., Karagiorgos, A., & Chlorou, A. (2019). Tax compliance during fiscal depression periods: the case of Greece. EuroMed Journal of Business, 14(3), 274–291. https://doi.org/10.1108/EMJB-02-2019-0028
  26. Madya, F., Rulinawaty, & Pasaribu, D. (2022). Government with algorithm: Strategy to improve synchronous public service using artificial intelligence (AI) in Indonesia. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(2), 14089-14100. https://doi.org/10.33258/birci.v5i2.5272
  27. Mangoting, Y., Tangkelobo, H., & Sina, W. L. (2019). Taxpayer compliance model based on transparency, ethics, and trust. Jurnal Akuntansi Dan Bisnis, 19(1), 104–118.
  28. Menescal, L., & Alves, J. (2024). Optimal threshold taxation: An empirical investigation for developing economies. The Journal of Economic Asymmetries, 29, 343. https://doi.org/10.1016/j.jeca.2023.e00343
  29. Mijwil, M. M., Abdulrhman, S. H., Abttan, R. A., Faieq, A. K., & Alkhazraji, A. (2022). Artificial intelligence applications in English language teaching: A short survey. Asian Journal of Applied Sciences (ISSN: 2321–0893), 10(6).
  30. Muliari, N. K., & Setiawan, P. E. (2011). Pengaruh persepsi tentang sanksi perpajakan dan kesadaran wajib pajak pada kepatuhan pelaporan wajib pajak orang pribadi di Kantor Pelayanan Pajak Pratama Denpasar Timur. Jurnal Ilmiah Akuntasi Dan Bisnis, 6, 1–23.
  31. Neuman, E. L., & Sheu, R. J. (2022). Big Data analytics in IRS audit procedures and its effects on tax compliance: A moderated mediation analysis. The Journal of the American Taxation Association, 44(2), 97-113.
  32. Neuman, W. (2014). Social research methods: Qualitative and quantitative approaches. Assex: Pearson.
  33. Oladipo, O. A., Nwanji, T. I., Eluyela, F. D., Godo, B., & Adegboyegun, A. E. (2022). Impact of tax fairness and tax knowledge on tax compliance behavior of listed manufacturing companies in Nigeria. Problems and Perspectives in Management, 20(1), 41–48.
  34. Pebrina, R., & Hidayatulloh, A. (2020). Pengaruh penerapan e-spt, pemahaman peraturan perpajakan, sanksi perpajakan, dan kualitas pelayanan terhadap kepatuhan wajib pajak. Jurnal Ilmiah Ekonomi Dan Bisnis, 17(1), 1–8. https://doi.org/10.31849/jieb.v17i1.2563
  35. Rahiem, C., & Ardillah, K. (2022). Tax awareness, tax services quality, and tax sanctions on individual taxpayer compliance. The Accounting Journal of Binaniaga, 7(1), 1–16. https://doi.org/10.33062/ajb.v7i1.489
  36. Rahman, A., Paujiah, S., Karsudjono, A. J., & Najmi, L. (2020). Pengaruh sistem perpajakan, pelayanan perpajakan, sanksi pajak dan kesadaran wajib pajak terhadap kepatuhan dan keputusan membayar pajak kendaraan bermotor pada Samsat Banjarmasin I. Jurnal Mitra Manajemen, 4(3), 377–391. https://doi.org/10.52160/ejmm.v4i3.356
  37. Rahmiati, A., & Inayah, L. U. (2022). How is the quality of tax service in Covid-19 pandemic era? International Research Journal of Business Studies, 15(1), 27–37. https://doi.org/10.21632/irjbs.15.1.27-37
  38. Rammo, F. M., & Al-Hamdani, M. N. (2022). Detecting the speaker language using CNN deep learning algorithm. Iraqi Journal for Computer Science and Mathematics, 3(1), 43–52. https://doi.org/10.52866/ijcsm.2022.01.01.005
  39. Sadress, N., Bananuka, J., Orobia, L., & Opiso, J. (2019). Antecedents of tax compliance of small business enterprises: a developing country perspective. International Journal of Law and Management, 61(1), 24–44. https://doi.org/10.1108/IJLMA-10-2017-0234
  40. Shi, Y., Chen, B., Tan, G., & Zhang, G. (2022). Artificial intelligence project practice based on K210. In CECNet (pp. 318–324).
  41. Simone, L., Lester, R., & Markle, K. (2020). Transparency and tax evasion: Evidence from the foreign account tax compliance act (FATCA. Journal of Accounting Research, 58(1), 105–153.
  42. Srivastava, S. (2023). Algorithmic governance and the international politics of Big Tech. Perspectives on Politics, 21(3), 989–1000. https://doi.org/10.1017/S1537592721003145
  43. Sun, T. Q., & Medaglia, R. (2019). Mapping the challenges of artificial intelligence in the public sector: Evidence from public healthcare. Government Information Quarterly, 36(2), 368–383. https://doi.org/10.1016/j.giq.2018.09.008
  44. Supriyadi, E. I., & Asih, D. B. (2021). Implementasi artificial intelligence (AI) di bidang administrasi publik pada era revolusi industri 4.0. Jurnal RASI, 2(2), 12–22. https://doi.org/10.52496/rasi.v2i2.62
  45. Tendean, G. Z. O., Pangerapan, S., & Sardjono, O. Y. M. (2023). The effect of tax collection, tax audit, and taxpayer compliance on tax revenue at primary tax service office in Manado. Journal of Governance, Taxation, and Auditing, 2(3), 142 – 152.
  46. Tilahun, M. (2019). Determinants of tax compliance: a systematic review. Economics, 8(1), 1–7. https://doi.org/10.11648/j.eco.20190801.11
  47. Twesige, D., Rutungwa, E., Faustin, G., Misago, I. K., & Mutarinda, S. (2024). Gender and the tax compliance puzzle: does gender influence taxpayers’ behaviour towards tax compliance? Evidence from Rwanda. Cogent Business & Management, 11(1), 2316887. https://doi.org/10.21203/rs.3.rs-3156647/v1
  48. Valle-Cruz, D., Criado, J. I., Sandoval-Almazán, R., & Ruvalcaba-Gomez, E. A. (2020). Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation. Government Information Quarterly, 37(4), 101509. https://doi.org/https://doi.org/10.1016/j.giq.2020.101509
  49. Widodo, W. (2021). Metodologi penelitian populer & praktis [Popular & practical research methodologies. In Indonesia. Depok: Rajawali Pers.
  50. Xu, Y. (2023). Research on the application of artificial intelligence in computer recognition technology. Journal of Artificial Intelligence Practice, 6(2), 18–22. https://doi.org/10.23977/jaip.2023.060203
  51. Yahaya, L., Turmin, S. Z., Johari, J., & Osman, M. N. H. (2023). Reengineering the relationship between tax knowledge and voluntary tax compliance in Nigeria: The moderating role of tax service quality. International Journal of Academic Research in Economics and Management Sciences, 12(1). https://doi.org/10.6007/ijarems/v12-i1/15855