Jessen Hobson

Jessen Hobson

Professor of Accountancy and Director of Deloitte Foundation Center for Business Analytics and PwC Faculty Fellow

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Biography

Professor of Accountancy Jessen L. Hobson is the director of the University of Illinois-Deloitte Foundation Center for Business Analytics, the co-director of the Gies Behavioral Research Lab, and the PricewaterhouseCoopers LLP Faculty Fellow at the University of Illinois. He received his PhD from the University of Texas at Austin, his B.S. and M.S. degrees in accounting from Brigham Young University and was an auditor at PricewaterhouseCoopers before joining the Gies faculty in 2009. Jessen teaches graduate-level audit and data analytics. His research examines how and why managers over-report their performance, how investors and auditors can detect that deception, and how investors use and misuse information. Jessen’s research has been published in the top journals in his field, including The Accounting Review and The Journal of Accounting Research.

Contact

4011 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-265-0327

jlhobson@illinois.edu

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Educational Background

  • Ph.D., Accounting, University of Texas at Austin, 2006
  • B.S., Accounting, Brigham Young University, 1999
  • M.S., Accounting, Brigham Young University, 1999

Positions Held

  • Director, University of Illinois-Deloitte Foundation Center for Business Analytics, University of Illinois at Urbana-Champaign, 2020 to present
  • Professor, Accountancy, University of Illinois at Urbana-Champaign, 2020 to present
  • Co-Coordinator, Gies Behavioral Research Lab, University of Illinois at Urbana-Champaign, 2019 to present
  • Associate Professor of Accountancy, University of Illinois at Urbana-Champaign, 2015-2020
  • Assistant Professor of Accountancy, University of Illinois at Urbana-Champaign, 2009-2015
  • Assistant Professor, Florida State University, 2006-2009

Recent Publications

  • Elliott, W., & Hobson, J. (2022). The Joint Influence of Information Push and Value Relevance on Investor. Journal of Accounting Research, 60 (3), 1049-1083.
  • Hobson, J., Sommerfeldt, R., & Wang, L. (2021). Cheating for the cause: the effects of performance-based pay on socially-oriented misreporting. The Accounting Review, 95 (5), 317-336.
  • Hecht, G., Hobson, J., & Wang, L. (2020). The Effect of Performance Reporting Frequency on Employee Performance. The Accounting Review, 95 (4), 199-218.
  • Hobson, J., Stern, M., & Zimbelman, A. (2020). The Benefit of Mean Auditors: The Influence of Social Interaction and the Dark Triad on Unjustified Auditor Trust. Contemporary Accounting Research, 37 (2), 1217-1247.
  • Hobson, J., Elliott, W., & Grant, S. (2020). Trader Participation in Disclosure: Implications of Direct Interactions with Management. Contemporary Accounting Research, 37 (1), 68-100.

Other Publications

Articles

  • Hobson, J. (2019). The Presence and Effect of the Winner's Curse in the Market for Audit Services: An Experimental Market Examination. Behavioral Research in Accounting, 31 (2), 73-91.
  • Hobson, J., Mayew, W., Peecher, M., & Venkatachalam, M. (2017). Improving Experienced Auditors' Detection of Deception in CEO Narratives. Journal of Accounting Research, 1-30.  link >
  • Brink, A., Hobson, J., & Stevens, D. (2017). The Effect of High Power Financial Incentives on Excessive Risk-Taking Behavior: An Experimental Examination. Journal of Management Accounting Research, 29 (1), 13-29.
  • Harris, L., Hobson, J., & Jackson, K. (2016). The Effect of Investor Status on Investors' Susceptibility to Earnings Fixation. Contemporary Accounting Research, 33 (1), 152-171.  link >
  • Bowlin, K., Hobson, J., & Piercey, M. (2015). The Effects of Auditor Rotation, Professional Skepticism, and Interactions with Managers on Audit Quality. The Accounting Review, 90 (4), 1363-1393.
  • Elliott, W., Hobson, J., & White, B. (2015). Earnings Metrics, Information Processing, and Price Efficiency in Laboratory Markets. Journal of Accounting Research, 53 (3), 555-592.
  • Hobson, J., Mayew, W., & Venkatachalam, M. (2012). Analyzing Speech to Detect Financial Misreporting. Journal of Accounting Research, 50 (2), 349-392.
  • Elliott, W., Hobson, J., & Jackson, K. (2011). Disaggregating Management Earnings Forecasts to Reduce Investors' Susceptibility to Earnings Fixation. The Accounting Review, 86 (1), 185-208.
  • Hobson, J. (2011). Do the Benefits of Reducing Accounting Complexity Persist in Markets Prone to Bubble? Contemporary Accounting Research, 28 (3), 957-989.
  • Hobson, J., Mellon, M., & Stevens, D. (2011). Determinants of Moral Judgments Regarding Budgetary Slack: An Experimental Examination of Pay Scheme and Personal Values. Behavioral Research in Accounting, 23 (1).
  • Hobson, J., & Kachelmeier, S. (2005). Strategic Disclosure of Risky Prospects: A Laboratory Experiment. The Accounting Review, 80 (3), 825-846.

Presentations

  • Hobson, J. (2020). The Effect of Data Visualization and Task Framing on Audit Risk Assessments and Sampling Decisions. American Accounting Association Audit Midyear Meeting.

Honors and Awards

  • 2021 Innovation in Accounting Education Award, American Accounting Association, 2021 to present
  • Director, The University of Illinois-Deloitte Foundation Center for Business Analytics, 2020 to present
  • Disruption Fellow, University of Illinois, Gies College of Business, 2019 to present
  • PricewaterhouseCoopers LLP Faculty Fellowship in Accountancy, Department of Accountancy, University of Illinois at Urbana-Champaign, 2012 to present
  • List of Teachers Ranked as Excellent by their Students, Department of Accountancy, University of Illinois at Urbana-Champaign, 2012 to present
  • The Outstanding Dissertation Chair Award, American Accounting Association, 2020
  • Campus Distinguished Promotion Award, University of Illinois, 2020
  • Best Research Paper Award, AAA's Forensic Accounting, 2019

Teaching Interests

Audit, Data Analytics, and Financial Accounting

Research Interests

Using experimental methods (particularly economics-based experiments), I examine how and why managers over-report their performance, how investors and auditors can detect that deception, and how investors use and misuse information.

Current Courses

  • ACCY Analytics Applications-2 (ACCY 578) Develops students’ knowledge regarding the role, methods, and implications of business and data analytics in accounting via real-world applications of fundamental and advanced analytics principles. Application opportunities span multiple areas of accounting, including audit, fraud identification and detection, financial accounting, and managerial accounting. After engaging in this course, students should (1) have a foundational understanding of the role of business / data analytics in accounting and (2) be able to apply this knowledge to real-world clients, business decisions, etc.

  • Data Toolkit (MBA 563) The ultimate goal for data analytics in business is to obtain actionable insight. In this course, you will learn to use several tools—including the most important tool, your mind--for processing business data to gain that insight. You will perform tasks including extracting, transforming and loading (ETL) data to conducting exploratory data analytics (EDA). You will also gain experience in finding patterns in the data by using machine learning (ML) algorithms. You will develop a conceptual foundation for why ML algorithms are useful and how the resulting models from those algorithms are used to find actionable insight related to business problems. In the end, you will be equipped with the skillset to evaluate when an algorithm should be used and the ability to run these algorithms with R and RStudio and communicate the results using notebooks. Completion of this course requires downloading and using certain software on specific operation systems; details can be found in the course syllabus. 4 graduate hours. No professional credit. Credit is not given for both MBA 563 and BADM 590, Data Toolkit: Business Data Modeling & Predictive Analytics.

  • Applying Data Analytics inACCY (MBA 564) Develops students' knowledge regarding the role, methods, and implications of business and data analytics in business. Application opportunities span multiple areas of business. Special topics may include marketing, finance, supply chain, and accounting. Topics covered may include forecasting using time series models, modern portfolio theory, measurement and scaling, A/B testing, ANOVA, and conjoint analysis.

Contact

4011 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-265-0327

jlhobson@illinois.edu

Vita

Google Scholar

SCOPUS

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