Joshua Herbold

Joshua Herbold

Teaching Associate Professor of Accountancy

  • Email

Contact

4006 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-333-0857

herbo@illinois.edu

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Listings

Educational Background

  • Doctorate of Philosophy, Accountancy, University of Illinois at Urbana-Champaign, 2005
  • Bachelor of Science, Accountancy, University of Illinois at Urbana-Champaign, 1995

Positions Held

  • Teaching Associate Professor in Accountancy, University of Illinois at Urbana-Champaign, 2019 to present
  • Chair, Accounting & Finance, University of Montana, 2017-2019
  • Associate Professor of Accounting, Accounting & Finance, University of Montana, 2012-2019
  • Assistant Professor of Accounting, Accounting & Finance, University of Montana, 2005-2012
  • Visiting Assistant Professor of Accounting, Accounting & Finance, University of Montana, 2004-2005

Recent Publications

  • Manuel, T., & Herbold, J. Forthcoming. Are Online Roth versus Traditional IRA Calculators Useful. CPA Journal, 89 (11), 30-37.

Other Publications

Case Studies

  • Herbold, J., McNellis, C., & Barone, G. Forthcoming. Larson Industries: A Case on Identifying and Researching Revenue Recognition Issues. Issues in Accounting Education.

Presentations

  • Herbold, J. (2019). Torrefied Tonewoods: Modern Manufacturing with Vintage Values. North American Case Research Association (NACRA) 2019 Start-up Case Session.

Current Courses

  • Decision Making for Atg (ACCY 302) We will develop and apply a framework to better understand the specific types of accounting information managers need to make key operational and strategic decisions. Utilizing business case studies and real-world projects, the course will also develop skills in gathering, visualizing, and statistically analyzing this accounting information to inform these important decisions.

  • Data Analytics Foundations (ACCY 570) Concepts and foundations underlying data analytics for accounting. Provides fundamental knowledge of how to acquire, organize, synthesize and analyze (possibly large) volumes of data to address questions and problems. After completing this course, students should (1) have a foundational understanding of the techniques underlying data analytics, (2) recognize scenarios and identify appropriate tools for various types of data analysis and (3) use Python and Tableau to perform data analysis.

Contact

4006 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-333-0857

herbo@illinois.edu

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