Vernon J. Richardson Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Research Areas
Biography and Research Information
OverviewAI-generated summary
Vernon J. Richardson conducts research at the intersection of accounting and information systems. His work investigates how information systems and data analytics influence financial reporting, disclosure, and business strategy. Richardson has published research on topics such as the impact of social media on investor disagreement and trading volume, the use of machine learning in auditing, and the relationship between XBRL tagging and disclosure quality.
His recent publications explore the strategic alignment of business and information technology through IT governance, and the application of STEM skills in querying and visualizing financial data. Richardson also has experience with mixed-methods research, utilizing sentiment analysis from news articles to predict firm performance. His scholarship metrics include an h-index of 44 and over 8,600 citations from more than 135 publications, designating him as a highly cited researcher.
Richardson has received federal funding for two projects totaling $362,237. One NIH-funded project focuses on systems mechanobiology modeling for patient-specific cardiac fibrosis predictions, where he serves as PI. Another NSF-funded project, also with Richardson as PI, is an I-Corps initiative focused on an in vitro cardiac platform for drug discovery and cardiotoxicity screens. He leads a research group and maintains an active lab website.
Metrics
- h-index: 45
- Publications: 135
- Citations: 8,666
Selected Publications
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CRM Systems and Management Revenue Forecasts: Evidence from ASC 606 (2025)
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Querying and visualizing financial data: A teaching case applying STEM skills (2025)
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Achieving Strategic Alignment between Business and Information Technology with Information Technology Governance: The Role of Commitment to Principles and Top-Leadership Support (2025)
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Data and Analytics in Introductory Managerial Accounting Courses (2024)
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Data-Driven Audits: Audit Analytic Platforms and General Ledger Analytic Tools (2024)
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Achieving strategic alignment between business and information technology with information technology governance: the role of commitment to principles and Top Leadership Support (2024)
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Assessing the asymmetric cost behavior in China (2024)
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Does XBRL Tagging Indicate Disclosure Quality? The Relationship Between XBRL Standard and Extension Tags and Stock Return Synchronicity (2023)
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Mixed Methods Research in the Age of Analytics: An Exemplar Leveraging Sentiments from News Articles to Explain Firm Performance (2022)
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Mixed-methods research in the age of analytics, an exemplar leveraging sentiments from news articles to predict firm performance (2022)
Federal Grants 2 $362,237 total
Systems Mechanobiology Modeling for Patient-Specific Cardiac Fibrosis Predictions
I-Corps: In Vitro Cardiac Platform for Drug Discovery and Cardiotoxicity Screens
Collaboration Network
Top Collaborators
- Assessing the asymmetric cost behavior in China
- Querying and visualizing financial data: A teaching case applying STEM skills
- Data and Analytics in Introductory Managerial Accounting Courses
- Mixed-methods research in the age of analytics, an exemplar leveraging sentiments from news articles to predict firm performance
- Mixed Methods Research in the Age of Analytics: An Exemplar Leveraging Sentiments from News Articles to Explain Firm Performance
- Mixed-methods research in the age of analytics, an exemplar leveraging sentiments from news articles to predict firm performance
- Mixed Methods Research in the Age of Analytics: An Exemplar Leveraging Sentiments from News Articles to Explain Firm Performance
- Mixed-methods research in the age of analytics, an exemplar leveraging sentiments from news articles to predict firm performance
- Mixed Methods Research in the Age of Analytics: An Exemplar Leveraging Sentiments from News Articles to Explain Firm Performance
- Investor Disagreement, Disclosure Processing Costs, and Trading Volume Evidence from Social Media
- AIS research opportunities utilizing Machine Learning: From a Meta-Theory of accounting literature
- Achieving strategic alignment between business and information technology with information technology governance: the role of commitment to principles and Top Leadership Support
- Achieving Strategic Alignment between Business and Information Technology with Information Technology Governance: The Role of Commitment to Principles and Top-Leadership Support
- Achieving strategic alignment between business and information technology with information technology governance: the role of commitment to principles and Top Leadership Support
- Achieving Strategic Alignment between Business and Information Technology with Information Technology Governance: The Role of Commitment to Principles and Top-Leadership Support
- Achieving strategic alignment between business and information technology with information technology governance: the role of commitment to principles and Top Leadership Support
- Achieving Strategic Alignment between Business and Information Technology with Information Technology Governance: The Role of Commitment to Principles and Top-Leadership Support
- Auditor Response to Estimated Misstatement Risk: A Machine Learning Approach
- Auditor Response to Estimated Misstatement Risk: A Machine Learning Approach
- Auditor Response to Estimated Misstatement Risk: A Machine Learning Approach
- Investor Disagreement, Disclosure Processing Costs, and Trading Volume Evidence from Social Media
- Does XBRL Tagging Indicate Disclosure Quality? The Relationship Between XBRL Standard and Extension Tags and Stock Return Synchronicity
- Does XBRL Tagging Indicate Disclosure Quality? The Relationship Between XBRL Standard and Extension Tags and Stock Return Synchronicity
- AIS research opportunities utilizing Machine Learning: From a Meta-Theory of accounting literature
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