Enhancing Tax Consultants' Performance and Productivity through Digital Literacy and Artificial Intelligence: A Systematic Literature Review

This literature study discusses the challenges and opportunities for applying artificial Intelligence (AI) to improve the performance and productivity of tax consultants, particularly in terms of work efficiency, analysis accuracy, and professional productivity management. This study aims to comprehensively examine the role and contribution of AI to the performance and productivity of tax consultants through a Systematic Literature Review (SLR) and bibliometric analysis. Research data was obtained from articles indexed in the Scopus, SINTA, and Google Scholar databases with a publication range of 2021–2025. Of the total 107 articles identified, 42 articles were selected for further analysis based on the inclusion criteria. A bibliometric analysis was conducted using VOSviewer to map research patterns through co-authorship, co-occurrence, and citation analysis. The study's results show that AI plays a significant role in improving work efficiency, reducing the risk of analytical errors, and supporting data-driven decision-making in tax consulting practice. However, the success of AI adoption is greatly influenced by tax consultants' digital literacy. Consultants with good digital literacy are better able to understand, integrate, and make optimal use of AI in professional work processes. Thus, digital literacy is a key factor that enhances AI's contribution to improving the performance and productivity of tax consultants. This study is expected to serve as a relevant bibliographic reference for future research in taxation, technology, and professional services.

Artificial Intelligence, Tax Consultant, Digital Literacy

1. Abbas, K. (2025). Management Accounting and Artificial Intelligence: A Comprehensive Literature Review and Recommendations for Future Research. British Accounting Review. 1-26. https://doi.org/10.1016/j.bar.2025.101551 [Google Scholar] [Crossref]

2. Ricardo, A. V., Rifai, A. I., Savitri, A. & Prasetijo, J. (2024). A Bibliometric Analysis of Drinking Water Distribution In Coastal Areas Using Vosviewer. Asian Journal Social and Humanities, 2. 1980-1988. https://doi.org/10.59888/ajosh.v2i8.335 [Google Scholar] [Crossref]

3. Bewersdorff, A., Nerdel, C., & Zhai, X. (2025). How AI Literacy Correlates with Affective, Behavioral, Cognitive, and Contextual Variables: A Systematic Review. Computers and Education: Artificial Intelligence, 9. 1-14. https://doi.org/10.1016/j.caeai.2025.100493 [Google Scholar] [Crossref]

4. Bibri, S. E., & Huang, J. (2025). AI and AI-Powered Digital Twins for Smart, Green, and Zero-Energy Buildings: A Systematic Review of Leading-Edge Solutions for Advancing Environmental Sustainability Goals. Environmental Science and Ecotechnology, 28. 2-41. https://doi.org/10.1016/j.ese.2025.100628 [Google Scholar] [Crossref]

5. Bucior, G., & Jaworska, E. (2025). The Costs of Tax Accounting Digitalization from the Perspective of Polish Small Enterprises. Procedia Computer Science, 270. 5147–5156. https://doi.org/10.1016/j.procs.2025.09.642 [Google Scholar] [Crossref]

6. Buckley, P., Doyle, E., McCarthy, B., & Gilligan, R. (2022). Artificial Intelligence and The Tax Practitioner. Journal of Tax Administration, 7(2). 6-26. https://jota.website/jota/article/view/21/15 [Google Scholar] [Crossref]

7. Caamaño-Gordillo, D., Mula, J., & De La Torre, R. (2025). Impact of Generative Artificial Intelligence on Workload, Efficiency and Labour Productivity. IFAC-PapersOnLine 9. 1408-1413. https://doi.org/10.1016/j.ifacol.2025.09.237 [Google Scholar] [Crossref]

8. Cao, G., Duan Y., Edwards, J. S., & Dwivedi, Y. K. (2021). Understanding Managers' Attitudes and Behavioral Intentions towards Using Artificial Intelligence for Organizational Decision-Making. Technovation, 106. 1-15. https://doi.org/10.1016/j.technovation.2021.102312 [Google Scholar] [Crossref]

9. Darmawati, et. al. (2025). The Role of Artificial Intelligence in Improving the Efficiency and Accuracy of Local Government Financial Reporting: A Systematic Literature Review. Journal of Risk and Financial Management, 18(11). 1-20. https://doi.org/10.3390/jrfm18110601 [Google Scholar] [Crossref]

10. Qaiser, A., et. al. (2025). AI Literacy and Workforce Performance: The Mediating Role of Digital Confidence and the Moderating Role of Organizational Learning Culture. ACADEMIA International Journal for Social Sciences, 4(3). 4489–4502. https://doi.org/10.63056/ACAD.004.03.0716%7C [Google Scholar] [Crossref]

11. Septiyanti, D., et al. (2025). Peran Akuntan, Integrasi Inovasi Artificial Intelligence (AI) dan Internet of Things (IoT) dalam Menghadapi Digitalisasi Ekonomi Menjelang Era Society 5.0. INCOME Jurnal Akuntansi dan Keuangan, 6(1). https://doi.org/10.38156/akuntansi.v6i1.504 [Google Scholar] [Crossref]

12. Fadhilah, L., Salsabila, S., & Aji, G. (2025). Artificial Intelligence Dalam Administrasi Pajak: Tinjauan Literatur Mengenai Efisiensi, Transparansi, Dan Akuntanbilitas. Jurnal Ilmiah Wahan Akuntansi, 20(2).129–145. https://doi.org/10.21009/Wahana.20.0210 [Google Scholar] [Crossref]

13. Fan, C., Liao, X., & Yang, X. (2025). Artificial Intelligence and Enterprise Total Factor Productivity: A Human Capital Requirement Perspective. International Review of Economics and Finance, 104. 1-16. https://doi.org/10.1016/j.iref.2025.104661 [Google Scholar] [Crossref]

14. Fan, Y. (2025). The Innovation Effect of Digital Business Model Transformation Orientation: Evidence from Corporate Cross-Boundary Innovation. International Review of Economics and Finance, 103. 1-18. https://doi.org/10.1016/j.iref.2025.104578 [Google Scholar] [Crossref]

15. Fasano, F., Bartoli, C., Cappa, F., & Boccardelli, P. (2025). Exploring the Impact of AI on Web3 Decentralized Platform Business Model Innovation. Journal of Engineering and Technology Management, 78. https://doi.org/10.1016/j.jengtecman.2025.101911 [Google Scholar] [Crossref]

16. Gao, X., & Feng, H. (2023). AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity. Sustainability, 15(11). https://doi.org/10.3390/su15118934 [Google Scholar] [Crossref]

17. Hutagalung, R. F. (2025). Pengaruh Pemanfaatan Teknologi Artificial terhadap Efektivitas Kinerja Bank Indonesia dengan Digital Literacy Variabel Intervening. Master Thesis, Universitas Islam Sultan Agung, Semarang. [Google Scholar] [Crossref]

18. Negara, J. O., Husain, M. K., & Khong, I. (2023) Peran Transformasi Teknologi Informasi Di Era Industri 4.0 Pada Profesi Akuntansi. Jurnal MENTARI: Manajemen Pendidikan Dan Teknologi Informasi, 2(1). 84-94. [Google Scholar] [Crossref]

19. Kusuma, M., Saputra, B. M., Kasim, C. M. M., & Soares, J. (2024). Peran Pengelola Prodi Akuntansi Menyiapkan Mahasiswa Menghadapi Artificial Intelligence (AI) Akuntansi. TEMA Jurnal Tera Ilmu Akuntansi, 25(2). 91–104. https://doi.org/10.21776/tema.25.2.91-104 [Google Scholar] [Crossref]

20. Binti, L. M., & Elfita R. A. (2025). Optimalisasi Artificial Intelligence dalam Transformasi Sistem Perpajakan Indonesia di Era Ekonomi Digital. Jurnal Studi Multidisipliner, 9(10). 251-257. https://sejurnal.com/pub/index.php/jsm/article/view/9583 [Google Scholar] [Crossref]

21. Lim, K. Y., & Darvin, R. (2026). Critical Digital Literacies, Generative AI, and the Negotiation of Agency in Human-AI Interactions. System, 136. https://doi.org/10.1016/j.system.2025.103904 [Google Scholar] [Crossref]

22. Liu, X., Zhang, L., & Wei, X. (2025). Generative Artificial Intelligence Literacy: Scale Development and Its Effect on Job Performance. Behavioral Sciences, 15(6). https://doi.org/10.3390/bs15060811 [Google Scholar] [Crossref]

23. Mescall, D., & Schmidt, R. N. (2025). The Impact of Joint Provision of Audit and Tax Services on the Advice of Tax Professionals. Journal of Accounting and Public Policy, 50. https://doi.org/10.1016/j.jaccpubpol.2025.107293 [Google Scholar] [Crossref]

24. Nigar, M., et. al. (2025). Artificial Intelligence and Technological Unemployment: Understanding Trends, Technology's Adverse Roles, and Current Mitigation Guidelines. Journal of Open Innovation: Technology, Market, and Complexity 11(3). https://doi.org/10.1016/j.joitmc.2025.100607 [Google Scholar] [Crossref]

25. Nurfitriani, et al. (2024). Pengembangan Model Evaluasi Kinerja SDM Berbasis Balanced Scorecard: Studi pada Perusahaan Jasa Konsultan. Jurnal GeoEkonom,i 15(1). 241–250. https://doi.org/10.36277/geoekonomi.v15i1.2024.456 [Google Scholar] [Crossref]

26. Parteka, A., & Kordalska, A. (2023). Artificial Intelligence and Productivity: Global Evidence from AI Patent and Bibliometric Data. Technovation, 125. https://doi.org/10.1016/j.technovation.2023.102764 [Google Scholar] [Crossref]

27. Priastuti, R., & Subarjo. (2025). Pengaruh Literasi Digital, Pelatihan Dan Pengembangan Terhadap Produktivitas Karyawan Di Universitas Atma Jaya Yogyakarta. Jurnal Pengabdian Masyarakat Dan Riset Pendidikan, 4(1):3441–3550. https://doi.org/10.31004/jerkin.v4i1.2140 [Google Scholar] [Crossref]

28. Pulungan, A. H., et al. (2024). Examining the Determinants of AI Misuse among Students in Indonesia: An Analysis through the Fraud Diamond Framework. Jurnal Kajian Akuntansi, 91). 136-161. 10.33603/jka.v9i1.10442 [Google Scholar] [Crossref]

29. Rahmadina, N., & Mutmainnah. (2025). AI Adoption for Tax Consultant Productivity: Validity and Reliability of Instruments. Proceedings of International Conference on Economics and Business (IECON-3) 3(1). 945-967. https://doi.org/10.65246/pb4me611 [Google Scholar] [Crossref]

30. Ramadhika, A., & Mu'awaroh, S. M. (2025). Analysis of Digital Literacy in Improving the Performance of Village Apparatus in Padasuka Village Kutawaringin. Jurnal Manajemen Bisnis Eka Prasetya, 11(2). 14-23. https://doi.org/10.47663/jmbep.v11i2.612 [Google Scholar] [Crossref]

31. Mutmainnah, & Ramadina, N. (2025). The Impact of AI Adoption on the Productivity of Tax Consultants: The Moderating Effect of Digital Literacy. Proceedings of International Conference on Economics and Business (IECON-3) 3(1). 867-886. https://doi.org/10.65246/egg4v913 [Google Scholar] [Crossref]

32. Sahrazad, S., et al. (2022). Peran Literasi Digital dan Motivasi dalam Meningkatkan Produktivitas Kerja Karyawan pada PT Cahaya Abadhi Sedjahtera Jakarta. Jurnal Ilmiah Wahana Pendidikan, 8(20). 461-475. https://doi.org/10.5281/zenodo.7267050 [Google Scholar] [Crossref]

33. Salman, & Ikbal, M. (2025). Analisis Efektivitas Kebijakan Efisiensi Anggaran: Ditinjau Dari Aspek Ekonomi. Journal of Economics Development Research, 1(2). 68–72. https://doi.org/10.71094/joeder.v1i2.99 [Google Scholar] [Crossref]

34. Samadhiya, A., et al. (2024). Bridging Realities into Organizations through Innovation and Productivity: Exploring the Intersection of Artificial Intelligence, Internet of Things, and Big Data Analytics in the Metaverse Environment Using a Multi-Method Approach. Decision Support Systems, 185. https://doi.org/10.1016/j.dss.2024.114290 [Google Scholar] [Crossref]

35. Shatila, K., et al. (2025). Digital Literacy, Digital Accessibility, Human Capital, and Entrepreneurial Resilience: A Case for Dynamic Business Ecosystems. Journal of Innovation and Knowledge, 10(3). https://doi.org/10.1016/j.jik.2025.100709 [Google Scholar] [Crossref]

36. Sukaryo, & Marhadi. A. (2025). Assessing Taxpayers' Ability to Pay: A Machine Learning Approach. Scientax, 6(2). 95–106. https://doi.org/10.52869/st.v6i2.530 [Google Scholar] [Crossref]

37. Tinmaz, H., et al. (2022). A Systematic Review on Digital Literacy. Smart Learning Environments, 9(21). 1-18. https://doi.org/10.1186/s40561-022-00204-y [Google Scholar] [Crossref]

38. Xi, W., & Ling, X. (2025). Can the Digitalization of Tax Administration Promote Corporate Digital Transformation? Empirical Evidence from China. International Review of Economics and Finance, 104. https://doi.org/10.1016/j.iref.2025.104634 [Google Scholar] [Crossref]

39. Yu, G., Ramayah, T., & Lin, Z. (2025). Toward Understanding the Role of Generative AI in Entrepreneurship Education: A Systematic Review. Computers and Education: Artificial Intelligence, 9. https://doi.org/10.1016/j.caeai.2025.100470 [Google Scholar] [Crossref]

40. Yuan, J., & Li, X. (2025). How Digital Literacy and ICT Self-Efficacy Shape Student Perceived Post-Editing Competence. Acta Psychologica, 259. https://doi.org/10.1016/j.actpsy.2025.105409 [Google Scholar] [Crossref]

41. Natanael, Y. A., et al. (2025). Dampak Digitalisasi Pada Profesi Akuntansi: Tantangan Dan Peluang Akuntan Masa Depan. Mandiri: Jurnal Akuntansi dan Keuangan, 3(1). 1-15. 10.59086/jak.v4i1.593 [Google Scholar] [Crossref]

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