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Social Sciences and Humanities

D-Index
54
Citations
13711
World Ranking
2128
National Ranking
1025

Overview

Miklos A. Vasarhelyi is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily spans the fields of Business, Management and Accounting as well as Computer Science, with a significant focus on subfields such as Accounting, Management Information Systems, Artificial Intelligence, Information Systems, and Management Science and Operations Research.

The research topics addressed by Vasarhelyi include areas such as Auditing, Earnings Management, Governance, Imbalanced Data Classification Techniques, Big Data and Business Intelligence, Business Process Modeling and Analysis, Financial Distress and Bankruptcy Prediction, Stock Market Forecasting Methods, and Software Engineering Research.

Vasarhelyi has contributed to numerous academic papers published in various venues. Some notable recent publications include:

  • The Ethical Implications of Using Artificial Intelligence in Auditing, 2020, Journal of Business Ethics
  • Machine learning improves accounting estimates: evidence from insurance payments, 2020, Review of Accounting Studies
  • Explainable Artificial Intelligence (XAI) in auditing, 2022, International Journal of Accounting Information Systems
  • Learning from Machine Learning in Accounting and Assurance, 2020, Journal of Emerging Technologies in Accounting
  • Chain of Values: Examining the Economic Impacts of Blockchain on the Value-Added Tax System, 2021, Journal of Management Information Systems

Frequent collaboration is a notable aspect of Vasarhelyi's work. Their frequent coauthors include Huijue Kelly Duan, Chanyuan Zhang, Jun Dai, Huaxia Li, and Hanxin Hu.

Vasarhelyi's publications are often found in specialized venues including:

  • SSRN Electronic Journal
  • Journal of Emerging Technologies in Accounting
  • International Journal of Accounting Information Systems
  • Journal of Information Systems
  • The International Journal of Digital Accounting Research

Best Publications

  • Toward Blockchain-Based Accounting and Assurance

    Jun Dai;Jun Dai;Miklos A. Vasarhelyi

  • Big Data in Accounting: An Overview

    Miklos A. Vasarhelyi;Alexander Kogan;Brad M. Tuttle

  • Impact of business analytics and enterprise systems on managerial accounting

    Deniz Appelbaum;Alexander Kogan;Miklos A. Vasarhelyi;Zhaokai Yan

  • Big Data and Analytics in the Modern Audit Engagement: Research Needs

    Deniz Appelbaum;Alexander Kogan;Miklos A. Vasarhelyi

  • The Ethical Implications of Using Artificial Intelligence in Auditing

    Ivy Munoko;Helen L. Brown-Liburd;Miklos Vasarhelyi

  • The Continuous Audit of Online Systems1

    Miklos A. Vasarhelyi;Fern B. Halper

  • Robotic process automation for auditing

    Kevin C. Moffitt;Andrea M. Rozario;Miklos A. Vasarhelyi

  • Research Ideas for Artificial Intelligence in Auditing: The Formalization of Audit and Workforce Supplementation

    Hussein Issa;Ting Sun;Miklos A. Vasarhelyi

  • Continuous monitoring of business process controls: A pilot implementation of a continuous auditing system at Siemens

    Michael G. Alles;Gerard Brennan;Alexander Kogan;Miklos A. Vasarhelyi

  • Principles of Analytic Monitoring for Continuous Assurance

    Miklos A. Vasarhelyi;Michael G. Alles;Alexander Kogan

  • Applying robotic process automation (RPA) in auditing: A framework

    Feiqi Huang;Miklos A. Vasarhelyi

  • Putting Continuous Auditing Theory into Practice: Lessons from Two Pilot Implementations

    Michael G. Alles;Alexander Kogan;Miklos A. Vasarhelyi

  • Continuous Online Auditing: A Program of Research

    Alexander Kogan;Ephraim F. Sudit;Miklos A. Vasarhelyi

  • Innovation and practice of continuous auditing

    David Y. Chan;Miklos A. Vasarhelyi

  • Feasibility and Economics of Continuous Assurance

    Michael G. Alles;Alexander Kogan;Miklos A. Vasarhelyi

  • A Field Study on the Use of Process Mining of Event Logs as an Analytical Procedure in Auditing

    Mieke Jans;Michael G. Alles;Miklos A. Vasarhelyi

  • Financial Reporting in XBRL on the SEC's EDGAR System: A Critique and Evaluation

    Roger S. Debreceny;Akhilesh Chandra;John J. Cheh;Denise Guithues-Amrhein

  • AIS in an Age of Big Data

    Kevin C. Moffitt;Miklos A. Vasarhelyi

  • The case for process mining in auditing: Sources of value added and areas of application

    Mieke Jans;Michael G. Alles;Miklos A. Vasarhelyi

  • Imagineering Audit 4.0

    Jun Dai;Miklos A. Vasarhelyi

Frequent Co-Authors

Murray Turoff
Murray Turoff New Jersey Institute of Technology

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