
معرفی
Michael E Doron is a Professor in the Department of Accounting & Information Systems at California State University, Northridge, teaching undergraduate courses including ACCT 220 (Introduction to Financial Accounting) and ACCT 460 (Auditing Principles) for Fall 2025.
His academic qualifications include:
- Ph.D. from Texas A&M University (2009)
- M. Acc. from Case Western Reserve University (2000)
- B.A. from Miami University (1993)
Professor Doron's research investigates the historical trajectory of accounting practices, focusing on regulatory milestones like the Securities Acts and Sarbanes-Oxley. His work analyzes how legislative reforms transformed auditing standards, corporate governance, and professional legitimacy, particularly during critical 20th-century periods including the New Deal era and post-WWII institutional developments. This historical lens reveals enduring tensions between regulatory symbolism and practical implementation in financial reporting.
His seven publications (2009-2019) demonstrate consistent scholarly engagement with accounting's institutional evolution, predominantly in specialized history journals. The research corpus shows progressive deepening of analysis from early professionalization studies (2009-2013) toward nuanced examinations of regulatory symbolism and ethical frameworks (2015-2019), reflecting growing methodological sophistication in historical accounting research.
His contributions have received significant recognition:
- 2019 Best Paper Award in the Accounting Historians' Journal for his Sarbanes-Oxley analysis
- Vangermeersch Manuscript Award for his 2011 evolutionary study of public accountancy
No information is available regarding graduate student supervision or external research funding. His work appears to be primarily independent scholarship without mention of collaborative grants or sponsored projects.
Professor Doron's research operates without dedicated laboratory facilities or formal research teams, consistent with historical accounting scholarship that typically relies on archival analysis rather than experimental setups.




