Ronald Guymon

Senior Lecturer of Accountancy and Teaching and Learning Faculty Innovation Scholar

Biography

Ronald Guymon is a senior lecturer of accountancy at the University of Illinois at Urbana-Champaign. Guymon joined the University of Illinois in 2018, and earned his PhD in accounting from the University of Iowa in 2008. He earned both a bachelor’s and master’s degree in accounting from Brigham Young University in 2002. Guymon teaches courses that focus on using data in accounting.

Contact

434 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

217-300-8845

rnguymon@illinois.edu

Google Scholar

Listings

Educational Background

Ph.D., Accounting, University of Iowa, 2008
B.B.A., Accounting, Brigham Young University, 2002
M.Acc., Accounting, Brigham Young University, 2002

Positions Held

Senior Lecturer of Accounting, Kenzen, 2022-2022
Senior Lecturer of Accounting, STMG, 2022-2022
Senior Lecturer of Accounting, Caterpillar, 2021-2022
Chief Data Officer, Standard Plumbing, 2020-2020
Lecturer in Management Accounting, Accounting, Rice University, 2019-2023
Chief Data Officer, New York State Department of Transportation, 2019-2019
Chief Data Officer, Gigg Inc., 2018-2021
Senior Lecturer of Accountancy, University of Illinois at Urbana-Champaign, 2018 to present
Chief Data Officer, Co-founder, DataVinci.io, 2017-2018
Numetric logo Chief Data Scientist, Numetric, 2015-2017
Clinical Assistant Professor of Accounting, Georgia State University, 2010-2015
Visiting Assistant Professor of Accounting, Georgia State University, 2009-2010
Visiting Assistant Professor of Accounting, Olin Business School, 2008-2009

Recent Publications

Richardson, V., Guymon, R., & Richardson, J. Forthcoming. Data Visualization and Storytelling. ( pp. Approximately 700 pages). McGraw-Hill.
Guymon, R., & Richardson, V. Forthcoming. Python for Business Analytics. McGraw-Hill.
Guymon, R., Balakrishnan, R., & Tubbs, R. Forthcoming. The Effect of Task Interdependence and Type of Incentive Contract on Group Performance. Journal of Management Accounting Research, 20 (Special Issue), 1-18.
Wood, D., Achhpilia, M., Adams, M., & (and about 323 others including Guymon, R.), R. (2023). The ChatGPT Artificial Intelligence Chatbot: How Well Does It Answer Accounting Assessment Questions? Issues in Accounting Education, The American Accounting Association, 38 (1), 1-28. link >

Other Publications

Articles

Emett, S., Guymon, R., Tayler, W., & Young, D. (2019). Controls and the Asymmetric Stickiness of Norms. Accounting Horizons, 33 (4), 119-143.

Case Studies

Guymon, R., & Blunck, R. (2013). Coaching basketball and variance analysis. ( vol. 9, pp. 14 pages). Jacksonville, FL: Academic and Research Business Institute. link >
Guymon, R., & Folsom, D. (2013). Hobbs Communication Devices: using variance analysis to improve budgeting. ( vol. 8, pp. 19 pages). Jacksonville, FL: Journal of Business Cases and Applications. link >

Presentations

Guymon, R., King, A., Wiscount, M., Narang, U., & Sachdev, V. (2023). Novel Techniques to Boost Student Engagement in Discussions. FSI: At the Intersection of Teaching, Learning, and Technology, University of Illinois at Urbana-Champaign.
Guymon, R., Tayler, W., Young, D., & Emett, S. (2014). Controls and the Asymmetric Stickiness of Norms. Management Accounting Midyear Meeting, American Accounting Association.
Guymon, R., Tayler, W., Young, D., & Emett, S. (2013). Defining Deviancy Down: The Development of Norms Under Imperfect Control. Accounting Behavior and Organizations Midyear Meeting, American Accounting Organization.
Guymon, R., & Guymon, R. (2013). Clueless Choices: Innovatively Bridging the Decision Gap between Logic and Intuition. IMA's 94th Annual Conference and Exposition, Institute of Management Accountants.
Guymon, R., & Mitchell, W. (2013). Cutting the Cost of Congruence: How Strategy Explanations Reduce the Risk Premium Caused by Choosing More Imprecise Performance Measures. Management Accounting Midyear Meeting, American Accounting Association.
Guymon, R., & Mitchell, W. (2012). Cutting the Cost of Congruence: How Strategy Explanations Reduce the Risk Premium Caused by Choosing More Imprecise Performance Measures. Accounting Behavior and Organizations Midyear Meeting, American Accounting Association.
Guymon, R., & Mitchell, W. (2012). The Decision Motivating Influence of Strategy. Management Accounting Midyear Meeting, American Accounting Association.
Guymon, R. (2011). The Decision Motivating Influence of Strategy. 8th Annual BYU Accounting Symposium, Brigham Young University.
Guymon, R., & Springer, C. (2011). Does Providing Formulas Reinforce Surface Approaches to Learning? How Formula Availability Impacts Comprehension and Transfer in Standard Costing. American Accounting Association Annual Meeting, American Accounting Association.
Guymon, R. (2009). The Decision Motivating Influence of Strategy. Queen's University Accounting Workshop, Queen's University.
Guymon, R. (2009). The Decision Motivating Influence of Strategy. University of Pittsburgh Accounting Workshop, University of Pittsburgh.
Guymon, R. (2009). The Decision Motivating Influence of Strategy. Georgia State University Accounting Workshop, Georgia State University.
Guymon, R. (2009). The Decision Motivating Influence of Strategy. Indiana University Accounting Workshop, Indiana University.
Guymon, R. (2009). The Decision Motivating Influence of Strategy. Management Accounting Midyear Meeting, American Accounting Association.

Honors and Awards

Dean's Impact Award, Gies College of Business, 2024
Teaching and Learning Faculty Innovation Scholar, University of Illinois at Urbana-Champaign, 2023
Yellowdig Award winner for Community Health, Yellowdig, 2023
Anita Feller Memorial Award, University of Illinois at Urbana-Champaign, 2023
RC Evans Data Analytic Scholar, The University of Illinois-Deloitte Foundation Center for Business Analytics, 2022-2023
RC Evans Data Analytics Scholar, The University of Illinois-Deloitte Foundation Center for Business Analytics, 2021-2022
List of Teachers Rank as Excellent by Their Students, University of Illinois at Urbana-Champaign, 2019, 2020

Grants

Grant to study research related to risk, Center for the Economic Analysis of Risk, 2011-2011
Grant to pay students to participate in my dissertation experiment, Foundation for Applied Research, Institute of Management Accountants, 2008-2008

Service

Steering Committee Member for the Intensive Data and Analytics Workshop VI, American Accounting Association, 2024 to present
Reviewer for Concurrent Paper and Research Forum Session, AAA 2024 Annual Meeting, 2024
Steering Committee Member for the Intensive Data and Analytics Workshop V, American Accounting Association, 2024-2024
Reviewer for Audit Midyear Meeting, Auditing Section of the American Accounting Association, 2023-2023
Guest Speaker on the "Count Me In" podcast (Episode 77), Institute of Management Accountants, 2020

Current Courses

Data Driven Decisions in Acctg (ACCY 569) This course prepares accounting students to use analytic software to explore, visualize, and statistically analyze accounting data.
Data Preparation for Accting (ACCY 576) This course focuses on developing Python skills for assembling business data, taught within the context of multiple accounting settings (e.g., financial statement data, stock data, loan data, point-of-sale data, etc.).
ACCY Analytics Applications-1 (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.
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.
ACCY Analytics Application -1 (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.
Intro to Bus Analytics w/R (MBA 561) For businesses to capitalize on data analytics, they need leaders who understand the data analytic process. Even more valuable are leaders who know how to analyze big data. This course addresses the human skills gap by providing a foundational set of data analytic skills that can be applied to many business settings. You will gain first-hand experience with key steps of the data assembly process, as well as with tools for communicating data analytic results. Specifically, you will have the opportunity to install R, a popular data analytic language. You will also install and gain familiarity with RStudio, and integrated development environment (IDE), that makes it easier to code with R. You will also be introduced to notebooks and dashboards—powerful tools for communicating code and analytic results. Finally, you will get some practice executing some data manipulation tasks that are required before data can be analyzed with machine learning algorithms. 2 graduate hours. No professional credit. Credit is not given for both MBA 561 and BADM 590, section title "Introduction to Business Analytics: Data and the Firm".
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.