HighlightsBridges methodological innovation in machine learning, NLP, and econometrics with real-world relevance in financial disclosure, fraud detection, and regulatory impact; recognized for high-impact publications, award-winning teaching, and leadership in curriculum development; actively shapes discourse on AI's role in accounting and public information through media and outreach.
Focused research areas include Corporate disclosure and information dissemination; impact of social media and misinformation regulations on financial markets; machine learning and NLP applications in detecting financial misreporting; algorithmic democratization of information processing; sentiment analysis and document readability in financial contexts.
- Singapore MOE AcRF Tier 1 grant, Co-PI, $35,241 SGD (26,039.50 USD on receipt): "Social Media and Traditional Media: Complements or Substitutes?" With Yun Lou (PI) and Yuan Zhao. (22-SOA-SMU-047)
- Singapore MOE AcRF Tier 1 grant, PI, $39,881 SGD ($28,185.06 USD on receipt): "Revisiting Readability: Measuring the Understandability of Financial Documents" With Yanduo Chen. (22-SOA-SMU-029)
- SSHRC Insight Grant, Collaborator, $269,668 CAD ($215,715.25 USD on receipt): "Understanding Corporate Textual Disclosure and Analyst Research" With M.H. Franco Wong (PI), Michael Jung, and Frank Zhang. (435-2022-0283)
- Singapore MOE AcRF Tier 1 grant, PI, $37,590 SGD ($27,612.70 USD on receipt): "#Reopen: Reopening Decisions, Local Sentiment, and Economic Consequences." With Hai Lu and Jee-Eun Shin. (20-C206-SMU-002)
- Singapore MOE AcRF Tier 2 grant, Co-I, $304,740 SGD ($224,073.53 USD on receipt): "Anti-fake News Regulation and Capital Market Quality." With Yun Lou (PI), Samuel Tan, and Liandong Zhang. (MOE2019-T2-2-174)
Showing up to 6 latest publications from the past 5 years.
- Misinformation regulations: early evidence on corporate social media strategy: RM Crowley et al. [2025]RM Crowley, Y Lou, ST Tan, L ZhangReview of Accounting Studies, 1-38, 2025
- AR Abdel-Khalik, RM Crowley, X LiAvailable at SSRN 5154620, 2024
- RM Crowley, Y Lou, Y ZhaoSingapore Management University School of Accountancy Research Paper, 2024
- RM Crowley, W Huang, H LuContemporary Accounting Research, 2024
- G Foo, RM CROWLEY, J SOH, B RATMELIA
- RM Crowley, MH Wong
Richard Crowley joined Singapore Management University in 2016. He received his PhD in Accountancy from the University of Illinois Urbana-Champaign and received Bachelor's degrees in Accountancy, Finance, and Theoretical Mathematics from the University of Illinois Urbana-Champaign in 2012. His research examines financial accounting using both archival and analytical methods. Much of his archival work deals with large sets of unstructured data (e.g., textual disclosures) using high-powered computing algorithms to address accounting issues that are otherwise infeasible to approach.
Education
PhD in Accountancy, University of Illinois Urbana-Champaign
Bachelor's Degrees in Accountancy, Finance, and Theoretical Mathematics, University of Illinois Urbana-Champaign
Research Interests
- Financial Stability
- Investor Behavior
- Stock Market Anomalies
- Text Analysis
- Voluntary Disclosure
Teaching Interests
- Control Systems
- Financial Accounting
Selected Recognition and Awards
Fellow of the Lindau Nobel Laureate Meetings, 2014
University Fellowship, University of Illinois Urbana-Champaign, 2014 and 2015
Selected Appointments/Services
Reviewer, AAA Annual Meeting (2015)
Reviewer, Illinois International Journal of Accounting Symposium (2015)
Reviewer, FARS midyear meeting (2014)
Reviewer, University of Illinois Symposium on Audit Research (2014)
Discussant, IAS midyear meeting (2014)
