JEFF DAVIS
PROFESSOR OF ACCOUNTING

Jeff Davis


CONTACT


PHONE: 801.626.6097

EMAIL: jtdavis@weber.edu

OFFICE: WB 248


ABOUT


Jefferson T. Davis, PhD, CPA, CISA, received his PhD in accounting and minor in computer science from University of Tennessee, Knoxville and a master’s in accounting systems from Utah State University.

His research areas include applications of artificial intelligence, particularly neural networks, decision making in auditing, accounting, data analysis and business intelligence. His work has been published in some of the top international auditing and information systems journals. He also has an interest in digital business processes. His teaching areas focus on accounting information systems, auditing and data analytics. He also teaches managerial/cost and financial accounting courses.

Davis enjoys working with students to help them develop knowledge, skills and understanding to succeed in their accounting and business careers. Davis is a member of the American Institute of Certified Public Accountants (AICPA) and Information Systems Audit and Control Association (ISACA). He has been a board member of the Utah chapter of ISACA for several years. He worked for several years as a staff auditor at Grant Thornton and continues to work with clients in governmental, health care and forensic accounting and consulting. He also volunteers time as an internal auditor for a nonprofit organization.

He enjoys participating in music, basketball, badminton, cycling and pickleball.


EDUCATION


Ph.D., Business administration - University of Tennessee, Knoxville, 1993

MS,  Accounting - Utah State University, 1986

BS,  Accounting - Utah State University, 1985


 

PUBLICATIONS & PRESENTATIONS


REFEREED JOURNAL ARTICLES

  1. Davis J., S. Ramamoorti, G. Krull. 2017. Understanding, Evaluating, and Monitoring Internal Control Systems: A Case and Spreadsheet Based Pedagogical Approach. AIS Educators Journal (forthcoming). 
  2. Mouritsen, M, J. Davis, and S. Jones. 2016. ANOVA Analysis of Student Daily Test Scores in Multi-Day Test Periods. Journal of Learning in Higher Education, Vol. 12 Issue 2 (Fall) 73-82. 
  3. Davis J., Hadley, J. and H. Davis. 2015. Paperless Processes: Survey of CPA Firms in a Smaller Market Regarding Obstacles, Challenges and Benefits of Implementation. International Journal of the Academic Business World, Vol. 9 Issue 1 (Spring): 49-59. 
  4. Davis J. 2015. Cash Flow Statement Spreadsheet Modeling Case Using a Prototype System Development Process. Journal of Learning in Higher Education, Vol. 11 Issue 1 (Spring): 113-122. 
  5. Peters, J., and J. Davis. 2004. A prototype decision aid for selecting key internal controls. Journal of Accounting and Finance Research Vol. 12 No. 6:147-161. 
  6. J. Davis, and H. Davis. 2004. Less is More—Paper and Profitability. Journal of Accounting and Finance Research Vol. 12 No. 1:33-39. 
  7. Davis, J. and R. Mano. 2003. P-Cards and risk of failing to prevent, detect, and correct transaction errors, abuse and fraud. Journal of Accounting and Finance Research Vol. 11 No. 4:10-16. 
  8. Davis, J. 2002. Intelligent systems for internal auditors: Comparing neural network, traditional knowledge based and traditional statistical systems using a simple nonlinear classification problem. Journal of Accounting and Finance Research Vol. 10 No. 4:18-34. 
  9. Davis, J., A. Episcopos, and S. Wettimuny. 2001. Predicting direction shifts in Canadian-US exchange rates with artificial neural networks. International Journal Intelligent Systems in Accounting, Finance and Management Vol. 10:83-96. 
  10. Agarwal, A., J. Davis, and T. Ward. 2001. Supporting ordinal four-state classification decisions using neural networks. Journal of Information Technology and Management Vol 2, No. 1:5-26. 
  11. Davis, J. 2000. Audit simulation using a real business: A learning experience for students and teacher. Journal of Accounting and Finance Research Vol. 8 No. 1: 6-18. 
  12. Davis, J. 1999. Experience and auditors’ preliminary CRAs in relation to reliance on controls for different levels of client computerization. Journal of Accounting and Finance Research Vol 6 No. 1 (Spring): 86-93. 
  13. Davis, J., and G. Schneider. 1998. Matching intelligent system type to the characteristics of complex audit judgments. Journal of Accounting and Finance Research Vol. 5, No. 1 (Spring): 21-31. 
  14. Davis, J., A. Massey, and R. Lovell. 1997. Supporting a complex audit judgment task: An expert network approach. European Journal of Operational Research Vol. 103, No. 2 (December): 350-372.
  15. Episcopos, A., and J. Davis. 1996. Predicting returns on Canadian exchange rates with artificial neural networks and EGARCH-M models. Neural Computing & Applications Vol. 4: 168-174. 
  16. Davis, J. 1996. Experience and auditor's selection of relevant information for preliminary control risk assessments. Auditing: A Journal of Practice & Theory Vol. 15, No. 1 (Spring): 16-37. 

OTHER PUBLISHED JOURNAL ARTICLES AND CHAPTERS

  1. Mouritsen, M., and J. Davis. 2012. Declining Test Scores among Introductory Accounting Students: A Comparison of Mean Test Scores in Multi-Day Examination Periods. International Journal of Business and Social Science. (August) Vol. 3 No. 15: 1-8. 
  2. Davis, J., J. Hadley, H. Davis, R. Kepczyk. 2012. Paperless Processes: Benchmarking Small Firm Level of Implementation to Larger Firm Level of Implementation. International Journal of Business, Humanities and Technology. (June) Vol. 2 No. 4: 1-10. 
  3. Back, B., J. Davis, and A. Sangster. 1997. Expert systems applications: Finance and investments. In Handbook of Applied Expert Systems. Edited by J. Liebowitz., CRC Press, Boca Raton, FL. 26:1-14. 

REFEREED CONFERENCE PROCEEDINGS AND PRESENTATIONS

  1. Mouritsen, M, J. Davis, and S. Jones. ANOVA Analysis of Student Daily Test Scores in Multi-Day Test Periods. Jeff Davis Presented at International Conference on Learning and Administration in Higher Education, Nashville TN, May 2016. Received “A Best Paper Award” for the conference. 
  2. Davis J., Cash Flow Statement Spreadsheet Modeling Case Using a Prototype System Development Process.” Presented at International Conference on Learning and Administration in Higher Education, May 2014, Nashville TN. Received “A Best Paper Award” and “Presentation Excellence Award” for the conference. 
  3. Davis J., Hadley, J. and H. Davis. Paperless Processes: Survey of CPA Firms in a Smaller Market Regarding Obstacles, Challenges and Benefits of Implementation.” Presented at Academic Business World International Conference, May 2014, Nashville TN. Received “A Best Paper Award” for the conference. 
  4. Davis J., S. Ramamoorti, G. Krull. Hands on Training for AIS Educators for Understanding, Evaluating, and Monitoring Internal Control Systems: A Case and Spreadsheet Based Pedagogical Approach. Presented by Jeff Davis at AIS Educators Conference, Laramie WY. Estes Par, CO., June 29, 2013. 
  5. Davis J., S. Ramamoorti, G. Krull. Understanding, Evaluating, and Monitoring Internal Control Systems: A Case and Spreadsheet Based Pedagogical Approach. Presented by Jeff Davis at AIS Educators Conference, Estes Par, CO., June 29, 2012. 
  6. Mouritsen, M., J. Davis, S. Jones. ANOVA Analysis of Student Daily Test Scores in Multi-Day Test Periods. Presented by Jeff Davis and Steve Jones at Utah Banners Users Group Conference, Weber State University, June 1, 2012 
  7. Mouritsen, M., J. Davis, S. Jones. ANOVA Analysis of Student Daily Test Scores in Multi-Day Test Periods. Presented by Jeff Davis at Academic Business World International Conference and International Conference on Learning and Administration in Higher Education, Nashville, TN, May 23-25, 2012 
  8. Davis J., J. Hadley, H. Davis. Paperless Processes: Survey of CPA Firms in a Smaller Market Regarding Obstacles, Challenges and Benefits of Implementation. Presented by Jeff Davis at Utah Academy of Arts and Sciences conference, Logan UT, April 13, 2012. 
  9. Mouritsen, M., J. Davis, S. Jones. Analysis of Student Daily Test Scores in Multi-Day Test Periods. Presented by Matt Mouritsen and Jeff Davis at Utah Academy of Arts and Sciences conference, Logan UT, April 13, 2012.
  10. Davis J., J. Hadley, H. Davis. 2009. Paperless Processes: A survey of CPA firms in a smaller market regarding level of implementation, benefits, challenges. Presented at Academy of Accounting, Finance and Economics conference, December, 2009, New Orleans, LA. 
  11. Davis, J. Case and Software Method for Teaching and Applying Principles of Internal Control. 2005. Presented at American Academy of Accounting and Finance conference, December 2005, St. Petersburg, FL. 
  12. Davis, H. and J. Davis. 2004. Less is More—Paper and Profitability. Presented at 2003 American Academy of Accounting and Finance conference, December 9-11, New Orleans, LA. 
  13. Peters, J., and Davis, J. A prototype decision aid for selecting key internal controls. Presented at 2003 American Academy of Accounting and Finance conference, December 9-11, New Orleans, LA. 
  14. Davis, J. and R. Mano. P-Cards and risk of failing to prevent, detect, and correct transaction errors, abuse and fraud. Presented at 2002 American Academy of Accounting and Finance conference, December 8-10, New Orleans, LA. 
  15. Davis, J. Intelligent systems for internal auditors: Comparing neural network, traditional knowledge based and traditional statistical systems using a simple nonlinear classification problem. Presented at 2001 American Academy of Accounting and Finance conference, December 3-5, New Orleans, LA. 
  16. Davis, J. Audit simulation using a real business: A learning experience for students and teacher. Presented at 1999 American Academy of Accounting and Finance conference, December 9-11, New Orleans, LA. 
  17. Peters, J., and J. Davis. Computational model of internal control testing plan selection. Extended Abstract forthcoming in the proceedings of the 1998 KPMG/University of Kansas Audit Symposium. 
  18. Agarwal, A., J. Davis, and T. Ward. Supporting ordinal four-state classification decisions using neural networks. Abstract in proceedings of the Fifth AIS Research Symposium, February 1998. 
  19. Davis, J. Experience and auditors’ preliminary CRAs in relation to reliance on controls for different levels of client computerization and size. In proceedings of 1997 American Academy of Accounting and Finance conference, December 4-6, New Orleans, LA., pp. 107-112. 
  20. Davis, J. Judgment precision and characteristics of traditional knowledge based, traditional statistical, and neural network systems: A simple nonlinear example. Abstract in Proceedings of 1997 American Academy of Accounting and Finance conference, December 4-6, New Orleans, LA., p. 106. 
  21. Davis, J. Audit simulation: Using a real business as a client for the audit course. In electronic proceedings of the American Accounting Association Midyear Audit Conference, January 23-25, 1997, Jacksonville, FL. 
  22. Davis, J. and G. Schneider. A general theory for matching intelligent system type to complex audit tasks. In proceedings of the American Academy of Accounting and Finance annual meeting, December 5-6, 1996, New Orleans, LA., pp. 91-98. 
  23. Davis, J., A. Massey, R. Lovell. An expert network for preliminary control risk assessments. Abstract in proceedings of the AIS Research Symposium, February, 1996, Phoenix, AZ. 
  24. Episcopos, A., and J. Davis. Predicting returns on Canadian exchange rates with artificial neural networks and EGARCH-M models. In Neural Networks in Financial Engineering: Proceedings of the Third International Conference on Neural Networks in the Capital Markets, A Refenes, Y. Abu-Mostafa, J. Moody, and A. Weigend (editors), World Scientific Publishing Co., 1995, pp. 135-145. 
  25. Episcopos, A., and J. Davis. Predicting returns on Canadian exchange rates with artificial neural networks and EGARCH-M models. Presented at the Second Annual Multinational Financial Conference, Philadelphia, PA, June 15-17, 1995. 
  26. Davis, J. Judgment precision and characteristics of traditional knowledge based, traditional statistical, and neural network systems: A simple nonlinear example. Abstract in proceedings of the Southeast American Accounting Association Conference, April 9, 1995, p. 19.
  27. Davis, J.. Supporting complex audit judgment tasks with the appropriate type of intelligent system. In proceedings of the Third Annual Research Workshop on AI/ES in Accounting, Auditing, Tax, Aug. 9, 1994, New York, NY.