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Abstract
Krisis keuangan yang terus berulang menegaskan urgensi akan sistem yang adaptif dan responsif dalam mendeteksi risiko serta menjaga stabilitas organisasi. Penelitian ini bertujuan untuk mengkaji secara sistematis peran sistem informasi akuntansi (AIS) dalam mitigasi krisis keuangan. Dengan menggunakan metode Systematic Literature Review (SLR) dan pendekatan deskriptif-kualitatif, penelitian ini mengevaluasi berbagai literatur ilmiah yang relevan dan telah terverifikasi secara akademik. Analisis berfokus pada empat variabel utama: kualitas AIS, sistem peringatan dini (early warning system) berbasis AIS, integrasi teknologi pendukung seperti blockchain dan kecerdasan buatan, serta mekanisme mitigasi akuntansi. Temuan menunjukkan bahwa keempat variabel tersebut membentuk struktur konseptual yang saling terkait, di mana kualitas AIS meningkatkan ketepatan pengambilan keputusan, sistem peringatan dini memperkuat deteksi dini terhadap potensi krisis, dan teknologi digital bersama praktik akuntansi strategis mendukung respons organisasi terhadap tekanan fiskal. Kajian ini mengimplikasikan bahwa AIS seharusnya dikembangkan tidak hanya sebagai alat pelaporan, melainkan sebagai sistem strategis yang mampu merespons dinamika krisis secara adaptif dan berbasis data. Temuan ini memberikan dasar konseptual untuk inovasi desain AIS dalam konteks ketidakpastian ekonomi global dan mendukung integrasi dimensi teknologi, manajemen risiko, dan tata kelola keuangan dalam satu kerangka terpadu.
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References
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References
Abadi, A., & Zulfikar, A. (2019). Implikasi fair value accounting terhadap volatilitas laporan keuangan perusahaan BUMN. Jurnal Akuntansi Multiparadigma, 10(2), 299–313. https://doi.org/10.18202/jam.v10i2.532
Alessi, L., Antunes, A., Babecký, J., et al. (2023). A systematic review of early warning systems in finance. Technological and Economic Development of Economy, 30(3), 688–711. https://doi.org/10.3846/tede.2024.20555
Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. (2021). Designing a new audit ecosystem: A grand challenge for accounting automation. Journal of Information Systems, 35(2), 1–20. https://doi.org/10.2308/JIS-2020-0023
Avery, J., & Lim, Y. (2024). Blockchain-driven fiscal reporting in smart cities: Case evidence from East Asia. Journal of Public Sector Accounting and Governance, 19(1), 88–104.
Chen, R., Liu, W., & Zhao, Y. (2024). Predicting financial crisis with hybrid deep learning models: Evidence from emerging markets. Expert Systems with Applications, 230, 120835. https://doi.org/10.1016/j.eswa.2023.120835
Chen, S., Huang, Y., & Ge, L. (2024). An early warning system for financial crises: A temporal convolutional network approach. Technological and Economic Development of Economy, 30(3), 688–711. https://doi.org/10.3846/tede.2024.20555
Dalloul, M. H. M., Ibrahim, Z. b., & Urus, S. T. (2023). Financial crises management in light of accounting information systems success: Investigating direct and indirect influences. Sustainability, 15(10), 8131. https://doi.org/10.3390/su15108131
Dalloul, M. H. M., Ibrahim, Z. binti, & Urus, S. T. (2023). The impact of quality dimensions of accounting information system success on the effectiveness of during financial crisis management: The mediating role of system usage in a government sector context. Asian Economic and Financial Review, 13(1), 18–48. https://doi.org/10.55493/5002.v13i1.4686
Dalloul, W. H., Alshanti, A. S., & Ramlawi, H. M. (2023). The impact of accounting information systems on crisis management effectiveness: Evidence from Palestinian public institutions. International Journal of Accounting and Financial Reporting, 13(1), 81–95. https://doi.org/10.5296/ijafr.v13i1.20840
Elliptic. (2020). Elliptic and MIT: Fighting financial crime with AI and blockchain. https://www.elliptic.co/blog/elliptic-collaborates-with-mit
Guo, Y. (2023). Blockchain accounting information systems: Trust, transparency, and future challenges. Journal of Digital Accounting Research, 23, 34–49. https://doi.org/10.4192/1577-8517-v23_2
Guo, Y. (2023). Integrating blockchain for financial transparency: A review of implementation in AIS. Accounting and Technology Review, 11(3), 54–67.
Han, J., Min, S., & Lee, D. (2022). Synergy between blockchain and AI in accounting information systems: A conceptual framework. International Journal of Accounting Information Systems, 45, 100578. https://doi.org/10.1016/j.accinf.2022.100578
Halim, A., Putri, A. R., & Yusuf, M. (2024). Digitalisasi pelaporan keuangan dan akuntabilitas organisasi di era 5.0. Jurnal Akuntansi dan Teknologi Informasi, 6(1), 33–45. https://doi.org/10.31289/jati.v6i1.8765
Hossain, M. S., Rahman, M., & Karim, R. (2023). Artificial intelligence in the financial sector: A bibliometric analysis of research trends (1989–2022). Journal of Financial Innovation, 7(1), 22–39.
Krahel, J. P., & Vasarhelyi, M. A. (2014). AIS as a facilitator of accounting change: Technology, practice, and education. Journal of Information Systems, 28(2), 1–15. https://doi.org/10.2308/isys-50765
Lemos, F., & Martins, P. (2021). Financial crisis prediction: Challenges in integrating macroeconomic indicators in AIS. Journal of Financial Risk Analytics, 7(3), 112–127. https://doi.org/10.1016/j.jfra.2021.03.005
Massaro, M., Dumay, J., & Guthrie, J. (2016). On the shoulders of giants: Undertaking a structured literature review in accounting. Accounting, Auditing & Accountability Journal, 29(5), 767–801. https://doi.org/10.1108/AAAJ-01-2015-1939
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLOS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., ... & 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
Nguyen, T. P., & Bui, L. N. (2021). The quality of accounting information and its impact on strategic financial decisions: Evidence from Vietnamese firms. Asian Journal of Business and Accounting, 14(1), 101–121. https://doi.org/10.22452/ajba.vol14no1.5
Nguyen, T. P., & Nguyen, H. L. (2023). Digital accounting practices in financial reporting: Lessons from Southeast Asia. Asian Journal of Accounting Research, 8(1), 45–62. https://doi.org/10.1108/AJAR-12-2022-0168
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Shamsi, M., & Mahmud, K. (2020). Blockchain adoption barriers in public accounting: Evidence from developing countries. International Journal of Accounting Information Systems, 37, 100459. https://doi.org/10.1016/j.accinf.2020.100459
Singh, R., & Jain, V. (2022). AI-enabled early warning systems in accounting: Enhancing corporate resilience. Accounting Research Journal, 35(4), 515–533. https://doi.org/10.1108/ARJ-06-2021-0135
Zhang, X., Liu, Y., & Wang, H. (2020). AIS service quality and financial resilience during COVID-19: A study of Chinese manufacturing firms. Journal of Accounting & Organizational Change, 16(4), 501–519. https://doi.org/10.1108/JAOC-05-2020-0051
Zhao, J. L., Fan, S., & Yan, J. (2016). Overview of business innovations and research opportunities in blockchain and introduction to the special issue. Financial Innovation, 2(1), 28. https://doi.org/10.1186/s40854-016-0049-2