IMPLEMENTATION OF DIGITAL DATA-BASED ACCOUNTING ON THE EFFICIENCY AND EFFECTIVENESS OF ACCOUNTING PROCESSES ACCOUNTING PROCESSES: AN EXPLORATORY STUDY OF POTENTIALS AND CHALLENGES IN MODERN ACCOUNTING PRACTICES
Main Article Content
Muammar Kaddafi
This study compares the efficiency and effectiveness of accounting processes between manual and digital data-based accounting systems, highlighting the potential, challenges, and strategies for implementing digital systems in organizations. The results indicate that digital data-based accounting can improve efficiency by accelerating transaction recording, data processing, and presenting more accurate financial reports. Furthermore, work effectiveness is also enhanced by the availability of real-time information that supports rapid and accurate managerial decision-making. Implementing digital systems offers significant potential for improving the quality of accounting processes, such as transparency, cross-departmental data integration, and increased organizational accountability. However, implementing these systems also faces several challenges, including limited human resources, high technology investment costs, and data security risks. To optimize the implementation of digital data-based accounting, organizations need to implement a well-planned strategy, including increasing human resource capacity through training, strengthening technological infrastructure, and implementing sustainable data security policies. Therefore, digital data-based accounting can be an efficient and effective solution that supports organizational sustainability in the era of digital transformation.
Al-Htaybat, K., & von Alberti-Alhtaybat, L. (2019). Digital accounting: Opportunities, threats and the role of accounting education. International Journal of Management Education, 17(3), 100–124.https://doi.org/10.1016/j.ijme.2019.100–124.
Anagnostopoulos, I., & Vovchenko, N. (2021). Blockchain technology and its implications for accounting and auditing. Journal of Accounting and Emerging Technologies, 17(4), 55–72.
Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. (2021). Robotic process automation in public accounting. Journal of Emerging Technologies in Accounting, 18(1), 1–18.https://doi.org/10.2308/JETA-19-04
Baldarelli, M. G., & Del Baldo, M. (2022). Cloud accounting and SMEs' performance: A systematic literature review. Journal of Small Business and Enterprise Development, 29(5), 785–808.
Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597.
Creswell, J. W., & Poth, C. N. (2019). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage.
Chouhan, V., & Verma, P. (2020). Artificial intelligence in accounting: Opportunities and challenges. International Journal of Business Information Systems, 35(2), 157–175.
Dai, J., & Vasarhelyi, M. A. (2020). Toward blockchain-based accounting and assurance. Journal of Information Systems, 34(3), 1–19.
Etikan, I., & Bala, K. (2019). Sampling and sampling methods. Biostatistics International Journal, 7(6), 149–151.
Flick, U. (2019). An introduction to qualitative research (6th ed.). Sage.
Hasan, R., & Basuki, B. (2024). Institutionalization of XBRL in Indonesia: A regulatory perspective. Journal of Financial Reporting and Accounting, 22(1), 33–52.
Huerta, E., & Jensen, S. (2021). When accounting meets artificial intelligence: The impact of AI on accounting practices. Journal of Emerging Technologies in Accounting, 18(1), 45–62.https://doi.org/10.2308/JETA-19-07
Kurniawan, A., & Putri, M. (2021). Digitalization of financial reporting using XBRL and its impact on cost of equity: Evidence from Indonesia. Asian Journal of Accounting Research, 6(3), 356–372.
Kumar, V., & Gupta, P. (2023). Effectiveness of digital accounting information systems: Evidence from SMEs. International Journal of Accounting Information Systems, 51, 100–118.https://doi.org/10.1016/j.accinf.2023.100–118
Miles, M.B., Huberman, A.M., & Saldaña, J. (2020). Qualitative data analysis: A methods sourcebook (4th ed.). Sage.
Nowell, L.S., Norris, J.M., White, D.E., & Moules, N.J. (2019). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16, 1–13.
Nguyen, H. T., & Tran, L. (2025). Cloud accounting adoption and financial management effectiveness in Vietnam: A SEM approach. Journal of Contemporary Accounting Research, 9(1), 14–29.
Rozario, A. M., & Thomas, C. (2019). Reimagining auditing in a blockchain and AI world. Accounting Horizons, 33(4), 119–134.
Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.
Silverman, D. (2020). Qualitative research (5th ed.). Sage.
Singh, G., & Rana, S. (2022). Audit analytics capabilities and directions for future research. Managerial Auditing Journal, 37(7), 931–950.
Susanto, A., & Meiryani, M. (2020). The quality of accounting information system and its impact on organizational effectiveness. Journal of Asian Finance, Economics and Business, 7(11), 495–502.
Tiron-Tudor, A., Deliu, D., Farcane, N., & Dontu, A. (2021). Managing change with digital technology in auditing and accounting: Evidence from Europe. Journal of Accounting in Emerging Economies, 11(4), 640–662.
Vasarhelyi, M. A., Kogan, A., & Alles, M. (2025). Continuous auditing and monitoring: Patience is key. International Journal of Accounting Information Systems, 52, 100–133.
