Main Article Content
Abstract
Over the past two decades, numerous studies have explored the intersection of technology and accounting. However, research that specifically examines digital transformation in accounting particularly concerning emerging technologies, ethical risks, and regulatory challenges remains fragmented. Therefore, the purpose of this study is to conduct a bibliometric analysis of scholarly works addressing digital transformation in accounting. This study adopts a systematic literature review approach, analyzing articles containing the terms “digital transformation,” “accounting,” and related keywords in the “Article Title, Abstract, and Keywords” fields of the Scopus database from 2006 to 2025. The final dataset was compiled and analyzed using VOSviewer software to identify key research trends, co-authorship networks, and thematic clusters. The findings show that research on digital transformation in accounting has grown significantly since 2020, with increased attention to technologies such as artificial intelligence (AI), blockchain, and cloud computing. However, ethical and regulatory dimensions remain underexplored, indicating a research gap. In addition, contributions are concentrated in developed countries, with limited studies from emerging economies, suggesting a need for more globally inclusive research. The study offers insights for practitioners, regulators, and educators to better align digital adoption with ethical principles and regulatory frameworks in accounting. The findings contribute to fostering trust, transparency, and accountability in the digital transformation of accounting, which is essential for both professional integrity and public confidence.
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References
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- Alles, M. G. (2015). Drivers of the use and facilitators and obstacles of the evolution of big data by the audit profession. Accounting Horizons, 29(2), 439–449. https://doi.org/10.2308/acch-51067
- Anagnostopoulos, I. (2018). Fintech and regtech: Impact on regulators and banks. Journal of Economics and Business, 100. https://doi.org/10.1016/j.jeconbus.2018.07.003
- Anto, L. O., & Yusran, I. N. (2023). Determinants of the quality of financial reports. International Journal of Professional Business Review, 8(3), e01331. https://doi.org/10.26668/businessreview/2023.v8i3.1331
- Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. (2017). Big data and analytics in the modern audit engagement: Research needs. Auditing: A Journal of Practice & Theory, 36(4), 1–27. https://doi.org/10.2308/ajpt-51684
- Austin, A. A., Carpenter, T. D., Christ, M. H., & Nielson, C. S. (2021). The data analytics journey: Interactions among auditors, managers, regulation, and technology. Contemporary Accounting Research, 38(3), 1888–1924. https://doi.org/10.1111/1911-3846.12680
- Banerjee, A. (2018). Blockchain technology: Supply chain insights from ERP. Advances in Computers, 111. https://doi.org/10.1016/bs.adcom.2018.03.007
- Bélanger, F., & Carter, L. (2008). Trust and risk in e-government adoption. Journal of Strategic Information Systems, 17(2). https://doi.org/10.1016/j.jsis.2007.12.002
- Bhimani, A., & Willcocks, L. (2014). Digitisation, big data and the transformation of accounting information. Accounting and Business Research, 44(4). https://doi.org/10.1080/00014788.2014.910051
- Brodny, J., & Tutak, M. (2025). Stakeholder interactions and ethical imperatives in big data and AI development. Journal of Open Innovation: Technology, Market, and Complexity, 11(1). https://doi.org/10.1016/j.joitmc.2025.100491
- Burr, C., & Cristianini, N. (2019). Can machines read our minds? Minds and Machines, 29(3). https://doi.org/10.1007/s11023-019-09497-4
- Chahed, Y. (2014). Translations in regulatory space: The arenas of regulatory innovation in accounting standard setting. Indiana Journal of Global Legal Studies, 21(1). https://doi.org/10.2979/indjglolegstu.21.1.195
- Chun, K. W., Kim, H., & Lee, K. (2019). A study on research trends of technologies for industry 4.0; 3D printing, artificial intelligence, big data, cloud computing, and internet of things. Lecture Notes in Electrical Engineering, 518. https://doi.org/10.1007/978-981-13-1328-8_51
- Cong, L. W., He, Z., & Zheng, J. (2017). Blockchain disruption and smart contracts. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2985764
- Dai, J., & Vasarhelyi, M. A. (2017). Toward blockchain-based accounting and assurance. Journal of Information Systems, 31(3). https://doi.org/10.2308/isys-51804
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- Fischer, D. (2019). Ethical and professional implications of blockchain accounting ledgers. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3331009
- Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(7), 1–77. https://doi.org/10.17705/1CAIS.00407
- Gonçalves, M. J. A., da Silva, A. C. F., & Ferreira, C. G. (2022). The future of accounting: How will digital transformation impact the sector? Informatics, 9(1). https://doi.org/10.3390/informatics9010019
- Groșanu, A., Fülöp, M.-T., Cordoș, G.-S., & Raita, G. (2021). Challenges and trends for the incorporation of big data in the accounting profession: From the traditional approach to the future professional accountant. CECCAR Business Review, 1(12). https://doi.org/10.37945/cbr.2020.12.08
- Groșanu, A., Fülöp, M.-T., & Măgdaș, N. (2024). Ethical dilemmas in digital accounting: A comprehensive literature review. CECCAR Business Review, 5(4), 56–67. https://doi.org/10.37945/cbr.2024.04.06
- Han, H., Liu, Z., Wang, X., & Li, S. (2021). Research of the relations among cloud computing, internet of things, big data, artificial intelligence, block chain and their application in maritime field. Journal of Physics: Conference Series, 1927(1). https://doi.org/10.1088/1742-6596/1927/1/012026
- Hung, B. Q., Hoa, T. A., Hoai, T. T., & Nguyen, N. P. (2023). Advancement of cloud-based accounting effectiveness, decision-making quality, and firm performance through digital transformation and digital leadership: Empirical evidence from Vietnam. Heliyon, 9(6). https://doi.org/10.1016/j.heliyon.2023.e16929
- IBM Security. (2023). Cost of a data breach report 2023. IBM. https://www.securityhq.com/reports/cost-of-a-data-breach-report-2023/
- Kokina, J., & Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1). https://doi.org/10.2308/jeta-51730
- Kovalenko, S. N., Kalutskaya, N. A., Bolvachev, A. I., Prodanova, N. A., Sotnikova, L. V., & Shevchenko, O. P. (2021). Artificial intelligence in the accounting profession. Laplage em Revista, 7, 378–383. https://doi.org/10.24115/s2446-622020217extra-b938p.378-383
- KPMG. (2022). Transparency Report 2022.
- Kumar, J. (2024). Integration of artificial intelligence, big data, and cloud computing with internet of things. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation. https://doi.org/10.1002/9781119905233.ch1
- Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022a). Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking. Accounting, Auditing and Accountability Journal, 35(9). https://doi.org/10.1108/AAAJ-09-2020-4934
- Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing - The business perspective. Decision Support Systems, 51(1). https://doi.org/10.1016/j.dss.2010.12.006
- Mironiuc, M., Chersan, I.-C., & Robu, I.-B. (2013). Ethics in providing non-audit services to ensure transparency in financial reporting. Procedia - Social and Behavioral Sciences, 81. https://doi.org/10.1016/j.sbspro.2013.06.463
- Modell, S. (2014). The societal relevance of management accounting: An introduction to the special issue. Accounting and Business Research, 44(2). https://doi.org/10.1080/00014788.2014.882741
- Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), 1. https://doi.org/10.1186/2046-4053-4-1
- Moll, J., & Yigitbasioglu, O. (2019). The role of internet-related technologies in shaping the work of accountants: New directions for accounting research. British Accounting Review, 51(6). https://doi.org/10.1016/j.bar.2019.04.002
- Morshed, A., & Khrais, L. T. (2025). Cybersecurity in digital accounting systems: Challenges and solutions in the Arab Gulf region. Journal of Risk and Financial Management, 18(1). https://doi.org/10.3390/jrfm18010041
- Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25, 348.
- Radziwill, N. (2018). Blockchain revolution: How the technology behind bitcoin is changing money, business, and the world. Quality Management Journal, 25(1). https://doi.org/10.1080/10686967.2018.1404373
- Rahmatika, D. N. (2014). The impact of internal audit function effectiveness on quality of financial reporting and its implications on good government governance research on local government Indonesia. Research Journal of Finance and Accounting, 5(18).
- Richins, G., Stapleton, A., Stratopoulos, T. C., & Wong, C. (2017). Big data analytics: Opportunity or threat for the accounting profession? Journal of Information Systems, 31(3). https://doi.org/10.2308/isys-51805
- Rodríguez-Espíndola, O., Chowdhury, S., Dey, P. K., Albores, P., & Emrouznejad, A. (2022). Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing. Technological Forecasting and Social Change, 178. https://doi.org/10.1016/j.techfore.2022.121562
- Schmitz, J., & Leoni, G. (2019). Accounting and auditing at the time of blockchain technology: A research agenda. Australian Accounting Review, 29(2). https://doi.org/10.1111/auar.12286
- Shiyyab, F. S., Alzoubi, A. B., Obidat, Q. M., & Alshurafat, H. (2023). The impact of artificial intelligence disclosure on financial performance. International Journal of Financial Studies, 11(3). https://doi.org/10.3390/ijfs11030115
- Silva, R., Inácio, H., & Marques, R. P. (2022). Blockchain implications for auditing: a systematic literature review and bibliometric analysis. International Journal of Digital Accounting Research, 22. https://doi.org/10.4192/1577-8517-v22_6
- Slobodianyk, Y., Shymon, S., & Adam, V. (2019). Compliance auditing in public administration: Ukrainian perspectives. Baltic Journal of Economic Studies, 4(5). https://doi.org/10.30525/2256-0742/2018-4-5-320-331
- Song, J. (2021). Ethical adaptation and legal regulation of modern technology. Cultures of Science, 4(3). https://doi.org/10.1177/20966083211053085
- Sultan, N. (2010). Cloud computing for education: A new dawn? International Journal of Information Management, 30(2). https://doi.org/10.1016/j.ijinfomgt.2009.09.004
- Taleb, N., & Mohamed, E. A. (2020). Cloud computing trends: A literature review. Academic Journal of Interdisciplinary Studies, 9(1). https://doi.org/10.36941/ajis-2020-0008
- Thottoli, M. M. (2024). The tactician role of FinTech in the accounting and auditing field: a bibliometric analysis. Qualitative Research in Financial Markets, 16(2). https://doi.org/10.1108/QRFM-11-2021-0196
- Warren, J. D., Moffitt, K. C., & Byrnes, P. (2015). How big data will change accounting. Accounting Horizons, 29(2). https://doi.org/10.2308/acch-51069
- Yoon, K., Hoogduin, L., & Zhang, L. (2015). Big data as complementary audit evidence. Accounting Horizons, 29(2). https://doi.org/10.2308/acch-51076
- Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3). https://doi.org/10.1177/1094428114562629.
References
Abrahams, T. O., Ewuga, S. K., Kaggwa, S., Uwaoma, P. U., Hassan, A. O., & Dawodu, S. O. (2023). Review of strategic alignment: Accounting and cybersecurity for data confidentiality and financial security. World Journal of Advanced Research and Reviews, 20(3), 531–539. https://doi.org/10.30574/wjarr.2023.20.3.2691
Agustí, M. A., & Orta-Pérez, M. (2023). Big data and artificial intelligence in the fields of accounting and auditing: a bibliometric analysis. Revista Espanola de Financiacion y Contabilidad, 52(3). https://doi.org/10.1080/02102412.2022.2099675
Al Shanti, A. M., & Elessa, M. S. (2023). The impact of digital transformation towards blockchain technology application in banks to improve accounting information quality and corporate governance effectiveness. Cogent Economics and Finance, 11(1). https://doi.org/10.1080/23322039.2022.2161773
Alles, M. G. (2015). Drivers of the use and facilitators and obstacles of the evolution of big data by the audit profession. Accounting Horizons, 29(2), 439–449. https://doi.org/10.2308/acch-51067
Anagnostopoulos, I. (2018). Fintech and regtech: Impact on regulators and banks. Journal of Economics and Business, 100. https://doi.org/10.1016/j.jeconbus.2018.07.003
Anto, L. O., & Yusran, I. N. (2023). Determinants of the quality of financial reports. International Journal of Professional Business Review, 8(3), e01331. https://doi.org/10.26668/businessreview/2023.v8i3.1331
Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. (2017). Big data and analytics in the modern audit engagement: Research needs. Auditing: A Journal of Practice & Theory, 36(4), 1–27. https://doi.org/10.2308/ajpt-51684
Austin, A. A., Carpenter, T. D., Christ, M. H., & Nielson, C. S. (2021). The data analytics journey: Interactions among auditors, managers, regulation, and technology. Contemporary Accounting Research, 38(3), 1888–1924. https://doi.org/10.1111/1911-3846.12680
Banerjee, A. (2018). Blockchain technology: Supply chain insights from ERP. Advances in Computers, 111. https://doi.org/10.1016/bs.adcom.2018.03.007
Bélanger, F., & Carter, L. (2008). Trust and risk in e-government adoption. Journal of Strategic Information Systems, 17(2). https://doi.org/10.1016/j.jsis.2007.12.002
Bhimani, A., & Willcocks, L. (2014). Digitisation, big data and the transformation of accounting information. Accounting and Business Research, 44(4). https://doi.org/10.1080/00014788.2014.910051
Brodny, J., & Tutak, M. (2025). Stakeholder interactions and ethical imperatives in big data and AI development. Journal of Open Innovation: Technology, Market, and Complexity, 11(1). https://doi.org/10.1016/j.joitmc.2025.100491
Burr, C., & Cristianini, N. (2019). Can machines read our minds? Minds and Machines, 29(3). https://doi.org/10.1007/s11023-019-09497-4
Chahed, Y. (2014). Translations in regulatory space: The arenas of regulatory innovation in accounting standard setting. Indiana Journal of Global Legal Studies, 21(1). https://doi.org/10.2979/indjglolegstu.21.1.195
Chun, K. W., Kim, H., & Lee, K. (2019). A study on research trends of technologies for industry 4.0; 3D printing, artificial intelligence, big data, cloud computing, and internet of things. Lecture Notes in Electrical Engineering, 518. https://doi.org/10.1007/978-981-13-1328-8_51
Cong, L. W., He, Z., & Zheng, J. (2017). Blockchain disruption and smart contracts. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2985764
Dai, J., & Vasarhelyi, M. A. (2017). Toward blockchain-based accounting and assurance. Journal of Information Systems, 31(3). https://doi.org/10.2308/isys-51804
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3). https://doi.org/10.2307/249008
Díaz-Rodríguez, N., Del Ser, J., Coeckelbergh, M., López de Prado, M., Herrera-Viedma, E., & Herrera, F. (2023). Connecting the dots in trustworthy artificial intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. Information Fusion, 99. https://doi.org/10.1016/j.inffus.2023.101896
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133. https://doi.org/10.1016/j.jbusres.2021.04.070
Fischer, D. (2019). Ethical and professional implications of blockchain accounting ledgers. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3331009
Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(7), 1–77. https://doi.org/10.17705/1CAIS.00407
Gonçalves, M. J. A., da Silva, A. C. F., & Ferreira, C. G. (2022). The future of accounting: How will digital transformation impact the sector? Informatics, 9(1). https://doi.org/10.3390/informatics9010019
Groșanu, A., Fülöp, M.-T., Cordoș, G.-S., & Raita, G. (2021). Challenges and trends for the incorporation of big data in the accounting profession: From the traditional approach to the future professional accountant. CECCAR Business Review, 1(12). https://doi.org/10.37945/cbr.2020.12.08
Groșanu, A., Fülöp, M.-T., & Măgdaș, N. (2024). Ethical dilemmas in digital accounting: A comprehensive literature review. CECCAR Business Review, 5(4), 56–67. https://doi.org/10.37945/cbr.2024.04.06
Han, H., Liu, Z., Wang, X., & Li, S. (2021). Research of the relations among cloud computing, internet of things, big data, artificial intelligence, block chain and their application in maritime field. Journal of Physics: Conference Series, 1927(1). https://doi.org/10.1088/1742-6596/1927/1/012026
Hung, B. Q., Hoa, T. A., Hoai, T. T., & Nguyen, N. P. (2023). Advancement of cloud-based accounting effectiveness, decision-making quality, and firm performance through digital transformation and digital leadership: Empirical evidence from Vietnam. Heliyon, 9(6). https://doi.org/10.1016/j.heliyon.2023.e16929
IBM Security. (2023). Cost of a data breach report 2023. IBM. https://www.securityhq.com/reports/cost-of-a-data-breach-report-2023/
Kokina, J., & Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1). https://doi.org/10.2308/jeta-51730
Kovalenko, S. N., Kalutskaya, N. A., Bolvachev, A. I., Prodanova, N. A., Sotnikova, L. V., & Shevchenko, O. P. (2021). Artificial intelligence in the accounting profession. Laplage em Revista, 7, 378–383. https://doi.org/10.24115/s2446-622020217extra-b938p.378-383
KPMG. (2022). Transparency Report 2022.
Kumar, J. (2024). Integration of artificial intelligence, big data, and cloud computing with internet of things. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation. https://doi.org/10.1002/9781119905233.ch1
Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022a). Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking. Accounting, Auditing and Accountability Journal, 35(9). https://doi.org/10.1108/AAAJ-09-2020-4934
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing - The business perspective. Decision Support Systems, 51(1). https://doi.org/10.1016/j.dss.2010.12.006
Mironiuc, M., Chersan, I.-C., & Robu, I.-B. (2013). Ethics in providing non-audit services to ensure transparency in financial reporting. Procedia - Social and Behavioral Sciences, 81. https://doi.org/10.1016/j.sbspro.2013.06.463
Modell, S. (2014). The societal relevance of management accounting: An introduction to the special issue. Accounting and Business Research, 44(2). https://doi.org/10.1080/00014788.2014.882741
Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), 1. https://doi.org/10.1186/2046-4053-4-1
Moll, J., & Yigitbasioglu, O. (2019). The role of internet-related technologies in shaping the work of accountants: New directions for accounting research. British Accounting Review, 51(6). https://doi.org/10.1016/j.bar.2019.04.002
Morshed, A., & Khrais, L. T. (2025). Cybersecurity in digital accounting systems: Challenges and solutions in the Arab Gulf region. Journal of Risk and Financial Management, 18(1). https://doi.org/10.3390/jrfm18010041
Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25, 348.
Radziwill, N. (2018). Blockchain revolution: How the technology behind bitcoin is changing money, business, and the world. Quality Management Journal, 25(1). https://doi.org/10.1080/10686967.2018.1404373
Rahmatika, D. N. (2014). The impact of internal audit function effectiveness on quality of financial reporting and its implications on good government governance research on local government Indonesia. Research Journal of Finance and Accounting, 5(18).
Richins, G., Stapleton, A., Stratopoulos, T. C., & Wong, C. (2017). Big data analytics: Opportunity or threat for the accounting profession? Journal of Information Systems, 31(3). https://doi.org/10.2308/isys-51805
Rodríguez-Espíndola, O., Chowdhury, S., Dey, P. K., Albores, P., & Emrouznejad, A. (2022). Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing. Technological Forecasting and Social Change, 178. https://doi.org/10.1016/j.techfore.2022.121562
Schmitz, J., & Leoni, G. (2019). Accounting and auditing at the time of blockchain technology: A research agenda. Australian Accounting Review, 29(2). https://doi.org/10.1111/auar.12286
Shiyyab, F. S., Alzoubi, A. B., Obidat, Q. M., & Alshurafat, H. (2023). The impact of artificial intelligence disclosure on financial performance. International Journal of Financial Studies, 11(3). https://doi.org/10.3390/ijfs11030115
Silva, R., Inácio, H., & Marques, R. P. (2022). Blockchain implications for auditing: a systematic literature review and bibliometric analysis. International Journal of Digital Accounting Research, 22. https://doi.org/10.4192/1577-8517-v22_6
Slobodianyk, Y., Shymon, S., & Adam, V. (2019). Compliance auditing in public administration: Ukrainian perspectives. Baltic Journal of Economic Studies, 4(5). https://doi.org/10.30525/2256-0742/2018-4-5-320-331
Song, J. (2021). Ethical adaptation and legal regulation of modern technology. Cultures of Science, 4(3). https://doi.org/10.1177/20966083211053085
Sultan, N. (2010). Cloud computing for education: A new dawn? International Journal of Information Management, 30(2). https://doi.org/10.1016/j.ijinfomgt.2009.09.004
Taleb, N., & Mohamed, E. A. (2020). Cloud computing trends: A literature review. Academic Journal of Interdisciplinary Studies, 9(1). https://doi.org/10.36941/ajis-2020-0008
Thottoli, M. M. (2024). The tactician role of FinTech in the accounting and auditing field: a bibliometric analysis. Qualitative Research in Financial Markets, 16(2). https://doi.org/10.1108/QRFM-11-2021-0196
Warren, J. D., Moffitt, K. C., & Byrnes, P. (2015). How big data will change accounting. Accounting Horizons, 29(2). https://doi.org/10.2308/acch-51069
Yoon, K., Hoogduin, L., & Zhang, L. (2015). Big data as complementary audit evidence. Accounting Horizons, 29(2). https://doi.org/10.2308/acch-51076
Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3). https://doi.org/10.1177/1094428114562629.