This paper develops and empirically validates a smart national framework for audit quality management in Egypt, aligned with ISQM-1, ISQM-2, and ISA 220 (Revised). A mixed-methods design combines a nationwide auditor survey with SEM/CFA/ANOVA and comparative case insights from six countries. Results indicate that ISQM adoption and digital maturity (AI-enabled analytics, dashboards, blockchain-based evidence) significantly enhance audit quality, with complementary strengths between public oversight (ASA) and private firms. The framework integrates leadership & governance, risk assessment, digital infrastructure, engagement performance, and monitoring & remediation, enabling proactive, risk-based quality management beyond retrospective control. Benchmarking against the UK, USA, Singapore, Canada, Australia, and UAE underscores enforcement, regulator-led digital platforms, and leadership accountability. The study unifies agency, institutional, and digital-governance perspectives into an actionable model for emerging economies. Practically, it recommends regulator dashboards, phased ISQM adoption, targeted digital training, and SME support. The findings provide a roadmap for Egypt to strengthen transparency, investor trust, and international convergence in audit quality.
| Published in | Journal of Finance and Accounting (Volume 13, Issue 6) |
| DOI | 10.11648/j.jfa.20251306.14 |
| Page(s) | 269-281 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Audit Quality, ISQM-1, ISQM-2, ISA 220, Digital Transformation, Governance, Egypt
| [1] | Abdel-Khalik, A. R. (2021). Audit quality in emerging markets: Challenges and opportunities. Journal of Accounting in Emerging Economies, 11(3), 345-362. |
| [2] | ACRA. (2023). Practice Monitoring Program Report. Accounting and Corporate Regulatory Authority, Singapore. |
| [3] | Alles, M. (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. |
| [4] | Alles, M. (2018). Continuous auditing: Theory and application. Managerial Auditing Journal, 33(2), 152-168. |
| [5] | Appelbaum, D., Kogan, A., & Vasarhelyi, M. (2017). Big Data and analytics in the modern audit engagement: Research needs. Auditing: A Journal of Practice & Theory, 36(4), 1-27. |
| [6] | Appelbaum, D., Cohen, J., & Vasarhelyi, M. (2018). Transforming the audit through AI and data analytics. The CPA Journal, 88(6), 28-35. |
| [7] | Argyris, C., & Schön, D. (1996). Organizational learning II: Theory, method, and practice. Reading, MA: Addison-Wesley. |
| [8] | ASIC. (2023). Audit Inspection Report. Australian Securities and Investments Commission. |
| [9] | Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). New York: Routledge. |
| [10] | Cao, M., Chychyla, R., & Stewart, T. (2015). Big Data analytics in financial statement audits. Accounting Horizons, 29(2), 423-429. |
| [11] | Carcello, J., Hollingsworth, C., & Mastrolia, S. (2020). Audit quality: Insights from academic research. Current Issues in Auditing, 14(1), 16-25. |
| [12] | Christensen, B. E., Glover, S. M., & Wolfe, C. J. (2016). Do critical audit matters impact auditor liability? Contemporary Accounting Research, 33(4), 1428-1452. |
| [13] | CPAB. (2022). Audit Quality Report. Canadian Public Accountability Board. |
| [14] | Dai, J., & Vasarhelyi, M. A. (2017). Toward blockchain-based accounting and assurance. Journal of Information Systems, 31(3), 5-21. |
| [15] | DeAngelo, L. E. (1981). Auditor size and audit quality. Journal of Accounting and Economics, 3(3), 183-199. |
| [16] | DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality. American Sociological Review, 48(2), 147-160. |
| [17] | Dunleavy, P., Margetts, H., Bastow, S., & Tinkler, J. (2006). Digital era governance: IT corporations, the state, and e-government. Oxford: Oxford University Press. |
| [18] | FRC. (2023). Audit Quality Review Report. Financial Reporting Council, UK. |
| [19] | Francis, J. R. (2011). A framework for understanding audit quality. Auditing: A Journal of Practice & Theory, 30(2), 125-152. |
| [20] | Francis, J., & Michas, P. (2013). The contagion of low-quality audits. The Accounting Review, 88(2), 521-552. |
| [21] | Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). London: Cengage. |
| [22] | Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis. Structural Equation Modeling, 6(1), 1-55. |
| [23] | Humphrey, C., Loft, A., & Woods, M. (2009). The global audit profession and the international financial architecture. Accounting, Organizations and Society, 34(6-7), 810-835. |
| [24] | IAASB. (2020). International Standard on Quality Management (ISQM-1). New York: International Auditing and Assurance Standards Board. |
| [25] | IAASB. (2021). International Standard on Auditing (ISA 220 Revised): Quality Management for an Audit of Financial Statements. New York: IAASB. |
| [26] | IFAC. (2022). Guide to Quality Management for Audit Firms. International Federation of Accountants. |
| [27] | Issa, H., Sun, T., & Vasarhelyi, M. (2016). Research ideas for artificial intelligence in auditing. The Accounting Review, 91(4), 1-28. |
| [28] | Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs, and ownership structure. Journal of Financial Economics, 3(4), 305-360. |
| [29] | Knechel, W. R. (2013). Do auditing standards matter? Current Issues in Auditing, 7(2), A1-A16. |
| [30] | Knechel, W. R., & Salterio, S. (2016). Auditing: Assurance and risk. London: Routledge. |
| [31] | Kokina, J., & Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115-122. |
| [32] | Palmrose, Z.-V. (1988). An analysis of auditor litigation and audit service quality. The Accounting Review, 63(1), 55-73. |
| [33] | PCAOB. (2023). Annual Inspection Report. Public Company Accounting Oversight Board, USA. |
| [34] | Rozario, A., & Thomas, C. (2019). Reimagining auditing in a blockchain environment. International Journal of Accounting Information Systems, 33(3), 1-15. |
| [35] | Scott, W. R. (2014). Institutions and organizations: Ideas, interests, and identities (4th ed.). Los Angeles: Sage. |
| [36] | Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). Chichester: Wiley. |
| [37] | Simnett, R., Carson, E., & Vanstraelen, A. (2016). International archival auditing and assurance research: Trends, methodological issues, and opportunities. Auditing: A Journal of Practice & Theory, 35(3), 1-32. |
| [38] | Soliman, M. (2022). Audit regulation in Egypt: Current state and future directions. Journal of Accounting and Regulation in Emerging Economies, 12(2), 245-262. |
| [39] | UAE Ministry of Finance. (2023). National Audit Quality Report. Dubai: UAE MOF. |
| [40] | Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big Data in accounting: An overview. Accounting Horizons, 29(2), 381-396. |
| [41] | Watts, R. L., & Zimmerman, J. L. (1986). Positive accounting theory. Englewood Cliffs, NJ: Prentice Hall. |
| [42] | Yermack, D. (2017). Corporate governance and blockchains. Review of Finance, 21(1), 7-31. |
| [43] | Al-Adeem, K. (2017). Auditing in developing economies: A review and future research agenda. Asian Journal of Accounting Research, 2(2), 45-65. |
| [44] | Alon, A., & Dwyer, P. D. (2016). SEC enforcement and audit quality: International evidence. The International Journal of Accounting, 51(2), 205-226. |
| [45] | Ball, R. (2016). IFRS - 10 years later. Accounting and Business Research, 46(5), 545-571. |
| [46] | Barth, M. E., Landsman, W. R., & Lang, M. H. (2008). International accounting standards and accounting quality. Journal of Accounting Research, 46(3), 467-498. |
| [47] | Beasley, M. S., Carcello, J. V., & Hermanson, D. R. (2001). Fraudulent financial reporting: Consideration of industry traits and corporate governance mechanisms. Accounting Horizons, 15(4), 441-454. |
| [48] | Bedard, J., & Johnstone, K. M. (2010). Audit partner tenure and audit quality: The role of partner-specific experience. Auditing: A Journal of Practice & Theory, 29(3), 45-70. |
| [49] | Bell, T. B., Causholli, M., & Knechel, W. R. (2015). Audit quality: Insights from the academic literature. Auditing: A Journal of Practice & Theory, 34(1), 1-33. |
| [50] | Brown-Liburd, H., Issa, H., & Lombardi, D. (2015). Behavioral implications of Big Data’s impact on audit judgment and decision making. Accounting Horizons, 29(2), 451-468. |
| [51] | Carcello, J. V., & Neal, T. L. (2000). Audit committee composition and auditor reporting. The Accounting Review, 75(4), 453-467. |
| [52] | Chen, C. Y., Lin, C. J., & Lin, Y. C. (2008). Audit partner tenure, audit firm tenure, and audit quality. Contemporary Accounting Research, 25(2), 415-445. |
| [53] | Choi, J. H., Kim, J. B., & Zang, Y. (2010). Audit office size, audit quality, and audit pricing. Auditing: A Journal of Practice & Theory, 29(1), 73-97. |
| [54] | Croucher, R., & Rizov, M. (2019). Digitalisation and audit professions in emerging economies. International Journal of Human Resource Management, 30(2), 234-251. |
| [55] | Defond, M. L., & Zhang, J. (2014). A review of archival auditing research. Journal of Accounting and Economics, 58(2-3), 275-326. |
| [56] | Deumes, R., & Knechel, W. R. (2008). Economic incentives for voluntary reporting on internal risk management and control systems. Auditing: A Journal of Practice & Theory, 27(1), 35-66. |
| [57] | Eilifsen, A., & Willekens, M. (2008). Audit quality in the EU: The importance of quality assurance mechanisms. European Accounting Review, 17(3), 719-742. |
| [58] | Glover, S. M., & Prawitt, D. F. (2014). Enhancing auditor professional judgment: The audit quality framework. Current Issues in Auditing, 8(2), 1-10. |
| [59] | Gul, F. A., Wu, D., & Yang, Z. (2013). Do individual auditors affect audit quality? Evidence from archival data. The Accounting Review, 88(6), 1993-2023. |
| [60] | Han, J., Kang, T., & Salterio, S. (2018). Audit oversight boards and audit quality: International evidence. Contemporary Accounting Research, 35(4), 2133-2163. |
| [61] | Hayes, R., Wallage, P., & Gortemaker, H. (2014). Principles of auditing: An introduction to international standards on auditing. London: Pearson. |
| [62] | Healy, P. M., & Palepu, K. G. (2003). The fall of Enron. Journal of Economic Perspectives, 17(2), 3-26. |
| [63] | Herda, D. N., & Lavelle, J. J. (2013). How the auditor-client relationship affects the likelihood of auditor switching. Auditing: A Journal of Practice & Theory, 32(3), 199-218. |
| [64] | IAASB. (2015). The Framework for Audit Quality: Key Elements that Create an Environment for Audit Quality. New York: IAASB. |
| [65] | IAASB. (2019). Quality Management Project: Basis for Conclusions. New York: IAASB. |
| [66] | IFIAR. (2022). Inspection Findings Survey. International Forum of Independent Audit Regulators. |
| [67] |
IIRC. (2013). The International |
| [68] | Kachelmeier, S. J., Schmidt, J. J., & Valentine, K. (2020). The effects of disclosing critical audit matters on auditor liability. The Accounting Review, 95(4), 261-290. |
| [69] | Knechel, W. R., Krishnan, G. V., Pevzner, M., Shefchik, L. B., & Velury, U. K. (2013). Audit quality: Insights from the academic literature. Auditing: A Journal of Practice & Theory, 32(1), 385-421. |
| [70] | Krishnan, J. (2003). Audit quality and the pricing of discretionary accruals. Auditing: A Journal of Practice & Theory, 22(1), 109-126. |
| [71] | Lennox, C. (2009). Do peer reviews improve audit quality? The Accounting Review, 84(2), 573-589. |
| [72] | Leuz, C., & Wysocki, P. D. (2016). The economics of disclosure and financial reporting regulation: Evidence and suggestions for future research. Journal of Accounting Research, 54(2), 525-622. |
| [73] | Li, C., Song, F. M., & Wong, S. M. (2008). A continuous improvement process for audit quality. Auditing: A Journal of Practice & Theory, 27(1), 1-30. |
| [74] | Liu, C., & Wang, T. (2017). Blockchain adoption in audit practice: Potentials and challenges. Journal of Emerging Technologies in Accounting, 14(2), 79-94. |
| [75] | Loft, A., Humphrey, C., & Turley, S. (2006). In pursuit of audit quality: The case of the UK. Accounting, Auditing & Accountability Journal, 19(3), 376-397. |
| [76] | Nelson, M. W. (2009). A model and literature review of professional skepticism in auditing. Auditing: A Journal of Practice & Theory, 28(2), 1-34. |
| [77] | Ojala, H., Niskanen, M., & Collis, J. (2016). Audit quality and SME financial reporting in emerging economies. Small Business Economics, 47(1), 69-87. |
| [78] | Pott, C., Mock, T. J., & Watrin, C. (2009). Review of empirical research on the audit expectation gap. International Journal of Auditing, 13(2), 153-187. |
| [79] | Power, M. (1997). The audit society: Rituals of verification. Oxford: Oxford University Press. |
| [80] | Quick, R., & Warming-Rasmussen, B. (2015). Auditor independence and conflict of interest: A cross-national perspective. Accounting, Auditing & Accountability Journal, 28(1), 30-54. |
| [81] | Reichelt, K. J., & Wang, D. (2010). National and office-specific measures of auditor industry expertise and their effect on audit quality. Journal of Accounting Research, 48(3), 647-686. |
| [82] | Robson, K., Humphrey, C., Khalifa, R., & Jones, J. (2007). Transforming audit technologies: Business risk audit methodologies. Accounting, Organizations and Society, 32(4-5), 409-438. |
| [83] | Rozario, A., & Vasarhelyi, M. (2018). Auditing with smart contracts: The implications of blockchain. Journal of Emerging Technologies in Accounting, 15(1), 89-99. |
| [84] | Sikka, P. (2009). Financial scandals, accounting regulation and audit quality. Accounting Forum, 33(1), 68-79. |
| [85] | Simons, R. (1995). Levers of control: How managers use innovative control systems to drive strategic renewal. Boston: Harvard Business School Press. |
| [86] | Trotman, K. T., & Trotman, A. J. (2015). Internal audit judgment and decision-making. Auditing: A Journal of Practice & Theory, 34(1), 1-26. |
| [87] | Uyar, A., & Gungormus, A. H. (2020). Digital transformation in accounting and auditing. Journal of Accounting & Organizational Change, 16(4), 647-669. |
| [88] | Van Buuren, J., Koch, C., & van Nieuw Amerongen, M. (2014). Enhanced auditor reporting and audit quality. Accounting and Business Research, 44(5), 603-643. |
| [89] | Xu, Y., Jiang, Y., & Fargher, N. (2013). Audit quality and transparency in emerging economies: Evidence from China. Journal of International Accounting Research, 12(2), 1-25. |
| [90] | Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2013). Business research methods (9th ed.). Boston: Cengage. |
| [91] | Al-Hamadi, M., & Hassan, R. (2023). Artificial intelligence and audit performance: Evidence from emerging economies. Journal of Accounting and Technology, 12(3), 221-237. |
| [92] | Al-Farouq, A. (2024). Risk-based auditing under digital governance systems. International Journal of Auditing Innovation, 9(2), 101-118. |
| [93] | Alzoubi, T. (2023). Digital assurance and forensic data analytics in public sector audit. Government Auditing Review, 18(4), 55-73. |
| [94] | Arens, A., Elder, R., & Beasley, M. (2023). Auditing and Assurance Services: An Integrated Approach (18th ed.). Pearson. |
| [95] | Aziz, N., & Omar, S. (2022). Audit data analytics adoption and organizational readiness. Asian Journal of Accounting Research, 7(1), 88-104. |
| [96] | Basuony, M., & Mohamed, E. (2024). Digital transformation in auditing: Evidence from Egypt. Journal of Emerging Market Accounting, 15(1), 44-67. |
| [97] | Bayoumi, A., & Lotfy, A. (2023). Smart audit governance for national reform. Egyptian Accounting Review, 29(2), 112-130. |
| [98] | Brown-Liburd, H., & Vasarhelyi, M. (2022). The future of audit automation. Accounting Horizons, 36(4), 93-108. |
| [99] | Cao, M., & Chychyla, R. (2021). Data mining for internal audit: Applications and implications. The CPA Journal, 91(3), 15-22. |
| [100] | Chiu, P., & Taylor, M. (2023). AI-driven audit quality indicators. Auditing: A Journal of Practice & Theory, 42(2), 145-167. |
| [101] | Deloitte (2024). Global audit innovation survey. Deloitte Insights. |
| [102] | Donnelly, R. (2023). The role of AI in transforming tax dispute resolution. Taxation & Technology Review, 5(1), 11-30. |
| [103] | Elbanna, S., & Said, E. (2024). Machine learning in audit analytics: An evidence-based approach. Review of Accounting and Finance, 23(1), 33-55. |
| [104] | El-Hady, K., & Lotfy, A. (2025). Predictive analytics in government audit reforms. Public Finance Innovation Journal, 4(2), 1-20. |
| [105] | EY (2024). AI-powered audit transformation. EY Global Assurance Report. |
| [106] | Glover, S., & Prawitt, D. (2023). Developing professional skepticism in AI environments. Contemporary Accounting Research, 40(3), 689-710. |
| [107] | Grant Thornton (2022). Continuous auditing in the digital era. Grant Thornton International. |
| [108] | Hassan, M., & El-Refaey, A. (2023). Integrating IPSAS and AI for public sector accountability. Journal of Public Accounting, 12(4), 212-240. |
| [109] | IAASB (2023). International Standard on Quality Management (ISQM 1). IFAC Publications. |
| [110] | ICAEW (2024). Audit and Assurance Faculty Report on AI Integration. London: ICAEW. |
| [111] | INTOSAI (2023). Digital Audit Guidelines (ISSAI-Digital). Vienna: INTOSAI Secretariat. |
| [112] | ISA (2022). ISA 220: Quality Management for an Audit of Financial Statements. IFAC. |
| [113] | KPMG (2024). Future-ready auditing through analytics. KPMG Global. |
| [114] | Krishnan, R., & Yu, W. (2022). AI-driven audit judgment models. Journal of Accounting Research, 60(5), 1284-1311. |
| [115] | Li, X., & Zhang, Y. (2024). Blockchain-based public audit trail systems. Journal of Emerging Accounting Technologies, 9(1), 45-59. |
| [116] | Lotfy, A., & Saleh, M. (2024). Quantum-inspired frameworks for digital auditing. International Journal of Accounting, Finance and Risk Management, 10(3), 199-217. |
| [117] | Mansour, T., & El-Shazly, H. (2023). AI-assisted fraud detection in tax audits. Journal of Forensic Accounting, 19(2), 81-100. |
| [118] | McKinsey & Company (2024). AI adoption in financial oversight. McKinsey Global Reports. |
| [119] | OECD (2023). Digitalization of public sector accountability systems. Paris: OECD Publishing. |
| [120] | PwC (2024). Global assurance transformation outlook. PwC Assurance Insights. |
| [121] | Raja, A., & Kumar, D. (2023). Cognitive technologies in audit analytics. AI and Accounting Review, 2(3), 33-48. |
| [122] | Sayed, M., & Nassar, M. (2022). Smart auditing frameworks in developing economies. International Accounting Research, 21(4), 88-106. |
| [123] | Schandl, F., & Vasarhelyi, M. (2023). AI-enhanced continuous auditing: A critical synthesis. Accounting Horizons, 37(1), 25-48. |
| [124] | Singh, K., & Yadav, S. (2024). Integrating AI and IPSAS for sustainable public auditing. International Public Sector Accounting Journal, 3(2), 17-39. |
| [125] | Smith, L., & Tan, J. (2023). AI audit ecosystems and stakeholder trust. Journal of Accounting Perspectives, 14(1), 55-72. |
| [126] | Sun, H., & Liu, J. (2024). Digital audit maturity model. China Accounting Review, 11(2), 101-126. |
| [127] | The World Bank (2023). AI in governance and financial transparency. Washington DC. |
| [128] | Transparency International (2024). Corruption Perceptions Index. TI Reports. |
| [129] | UNCTAD (2023). Digital economy report: Data governance and value chains. Geneva: UN. |
| [130] | United Nations (2024). AI for public administration modernization. UN Department of Economic and Social Affairs. |
| [131] | Vasarhelyi, M., & Rozario, A. (2024). Auditing in the era of AI. The CPA Journal, 94(1), 19-33. |
| [132] | Wang, L., & Chen, X. (2023). Predictive audit analytics using neural networks. Expert Systems with Applications, 220, 119799. |
| [133] | Wei, J., & Tang, Y. (2024). Hybrid audit modeling for tax compliance. International Taxation and Accounting Journal, 6(2), 44-66. |
| [134] | World Economic Forum (2024). AI Governance Toolkit for Public Finance. Geneva: WEF. |
| [135] | Xu, J., & Lin, Z. (2023). Auditor response to AI-generated evidence. Accounting, Organizations and Society, 104, 101456. |
| [136] | Yoon, K., & Kim, S. (2023). Digital risk assurance and ethics in auditing. Asian Accounting Review, 10(4), 77-93. |
| [137] | Zhang, W., & Li, D. (2024). Machine learning approaches to risk-based auditing. Journal of Information Systems, 38(2), 33-59. |
| [138] | Zhao, H., & Xu, Y. (2023). Data analytics maturity and audit efficiency. Auditing Review International, 12(3), 91-109. |
| [139] | Zohny, H., & Amin, M. (2024). AI-enabled auditing and financial control in Egypt. Arab Journal of Accounting and Finance, 8(1), 77-93. |
| [140] | ACCA (2023). AI and the Future of Audit. London: ACCA Research Report. |
| [141] | AICPA (2024). Audit Data Standards and Automation Report. New York: AICPA. |
| [142] | ASA (2024). Egyptian Audit Oversight Board: Annual Report 2024. Cairo: Accountability State Authority. |
| [143] | CBE (2023). Digital Transformation in Financial Supervision. Central Bank of Egypt. |
| [144] | FRA (2024). RegTech and Supervisory Technology Implementation Report. Cairo: Financial Regulatory Authority. |
| [145] | Ministry of Finance (Egypt) (2024). Tax Dispute Resolution Annual Report. Cairo: MoF. |
APA Style
Lotfy, A. E. A. (2025). Smart Framework for National Audit Quality Management: An Empirical Comparative Evidence from Egypt. Journal of Finance and Accounting, 13(6), 269-281. https://doi.org/10.11648/j.jfa.20251306.14
ACS Style
Lotfy, A. E. A. Smart Framework for National Audit Quality Management: An Empirical Comparative Evidence from Egypt. J. Finance Account. 2025, 13(6), 269-281. doi: 10.11648/j.jfa.20251306.14
@article{10.11648/j.jfa.20251306.14,
author = {Amin ElSayed Ahmed Lotfy},
title = {Smart Framework for National Audit Quality Management: An Empirical Comparative Evidence from Egypt},
journal = {Journal of Finance and Accounting},
volume = {13},
number = {6},
pages = {269-281},
doi = {10.11648/j.jfa.20251306.14},
url = {https://doi.org/10.11648/j.jfa.20251306.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfa.20251306.14},
abstract = {This paper develops and empirically validates a smart national framework for audit quality management in Egypt, aligned with ISQM-1, ISQM-2, and ISA 220 (Revised). A mixed-methods design combines a nationwide auditor survey with SEM/CFA/ANOVA and comparative case insights from six countries. Results indicate that ISQM adoption and digital maturity (AI-enabled analytics, dashboards, blockchain-based evidence) significantly enhance audit quality, with complementary strengths between public oversight (ASA) and private firms. The framework integrates leadership & governance, risk assessment, digital infrastructure, engagement performance, and monitoring & remediation, enabling proactive, risk-based quality management beyond retrospective control. Benchmarking against the UK, USA, Singapore, Canada, Australia, and UAE underscores enforcement, regulator-led digital platforms, and leadership accountability. The study unifies agency, institutional, and digital-governance perspectives into an actionable model for emerging economies. Practically, it recommends regulator dashboards, phased ISQM adoption, targeted digital training, and SME support. The findings provide a roadmap for Egypt to strengthen transparency, investor trust, and international convergence in audit quality.},
year = {2025}
}
TY - JOUR T1 - Smart Framework for National Audit Quality Management: An Empirical Comparative Evidence from Egypt AU - Amin ElSayed Ahmed Lotfy Y1 - 2025/12/19 PY - 2025 N1 - https://doi.org/10.11648/j.jfa.20251306.14 DO - 10.11648/j.jfa.20251306.14 T2 - Journal of Finance and Accounting JF - Journal of Finance and Accounting JO - Journal of Finance and Accounting SP - 269 EP - 281 PB - Science Publishing Group SN - 2330-7323 UR - https://doi.org/10.11648/j.jfa.20251306.14 AB - This paper develops and empirically validates a smart national framework for audit quality management in Egypt, aligned with ISQM-1, ISQM-2, and ISA 220 (Revised). A mixed-methods design combines a nationwide auditor survey with SEM/CFA/ANOVA and comparative case insights from six countries. Results indicate that ISQM adoption and digital maturity (AI-enabled analytics, dashboards, blockchain-based evidence) significantly enhance audit quality, with complementary strengths between public oversight (ASA) and private firms. The framework integrates leadership & governance, risk assessment, digital infrastructure, engagement performance, and monitoring & remediation, enabling proactive, risk-based quality management beyond retrospective control. Benchmarking against the UK, USA, Singapore, Canada, Australia, and UAE underscores enforcement, regulator-led digital platforms, and leadership accountability. The study unifies agency, institutional, and digital-governance perspectives into an actionable model for emerging economies. Practically, it recommends regulator dashboards, phased ISQM adoption, targeted digital training, and SME support. The findings provide a roadmap for Egypt to strengthen transparency, investor trust, and international convergence in audit quality. VL - 13 IS - 6 ER -