Vernon J. Richardson Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

University of Arkansas at Fayetteville

faculty

44 h-index 135 pubs 8,578 cited

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Biography and Research Information

OverviewAI-generated summary

Vernon J. Richardson's research program is situated at the intersection of Accounting and Information Systems. His work has investigated the impact of technology and data analytics on financial reporting, investor behavior, and firm performance. Recent publications explore topics such as the role of social media in investor disagreement and trading volume, the predictive power of news article sentiment for firm performance using mixed-methods research, and the application of machine learning to auditor responses to misstatement risk.

Richardson has also examined the relationship between XBRL tagging and disclosure quality, and the influence of information technology governance on strategic alignment between business and IT. His research extends to assessing asymmetric cost behavior in China and developing teaching cases that integrate STEM skills with financial data analysis. He has secured federal funding from agencies including the NIH and NSF for projects related to systems mechanobiology modeling and in vitro cardiac platforms for drug discovery.

Metrics

  • h-index: 44
  • Publications: 135
  • Citations: 8,578

Selected Publications

  • CRM Systems and Management Revenue Forecasts: Evidence from ASC 606 (2025) DOI
  • Querying and visualizing financial data: A teaching case applying STEM skills (2025) DOI
  • Achieving Strategic Alignment between Business and Information Technology with Information Technology Governance: The Role of Commitment to Principles and Top-Leadership Support (2025) DOI
  • Data and Analytics in Introductory Managerial Accounting Courses (2024) DOI
  • Data-Driven Audits: Audit Analytic Platforms and General Ledger Analytic Tools (2024) DOI
  • Achieving strategic alignment between business and information technology with information technology governance: the role of commitment to principles and Top Leadership Support (2024) DOI
  • Assessing the asymmetric cost behavior in China (2024) DOI
  • Does XBRL Tagging Indicate Disclosure Quality? The Relationship Between XBRL Standard and Extension Tags and Stock Return Synchronicity (2023) DOI
  • Mixed Methods Research in the Age of Analytics: An Exemplar Leveraging Sentiments from News Articles to Explain Firm Performance (2022) DOI
  • Mixed-methods research in the age of analytics, an exemplar leveraging sentiments from news articles to predict firm performance (2022) DOI

Federal Grants 2 $362,237 total

NIH/National Heart Lung and Blood Institute Contact PI Jan 2019 - Dec 2023

Systems Mechanobiology Modeling for Patient-Specific Cardiac Fibrosis Predictions

National Heart Lung and Blood Institute $312,237 R01

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