Arguably, data analytics is the “hot topic” for both accounting programs and Colleges of Business. Firms and advisory boards are requesting increased incorporation of data analytics into accounting programs. Furthermore, the Association to Advance Collegiate Schools of Business (AACSB) International Standard A5 requires accounting programs to focus on agility and adaptability when incorporating data analytics into the accounting program. In this paper, we propose a framework for balancing industry needs and Standard A5 that incorporates accounting-specific data analytics and satisfies existing course learning objectives. This framework was developed through the creation of a stand-alone Data Analytics in Accounting course. Our framework emphasizes students moving from more structured manual calculations to less structured analysis using Excel, and then to more unstructured analysis using specialized accounting-specific data analytics software. Additionally, we provide specific examples of how this framework can be applied to multiple accounting courses.
Skip Nav Destination
Article navigation
Research Article|
March 17 2021
Accounting-Specific Data Analytics: A Framework for Addressing AACSB Standard A5 and Industry Demand
Gregory P. Tapis
;
Gregory P. Tapis
Missouri State University
School of Accountancy
901 S National Ave
UNITED STATES
Springfield
MO
65897
417-836-5678
Search for other works by this author on:
Christopher S. Hines
Christopher S. Hines
Missouri State University
Search for other works by this author on:
Journal of Emerging Technologies in Accounting (2021)
Article history
Received:
April 29 2020
Revision Received:
September 12 2020
Revision Received:
December 17 2020
Revision Received:
February 19 2021
Accepted:
March 14 2021
Citation
Gregory P. Tapis, Christopher S. Hines; Accounting-Specific Data Analytics: A Framework for Addressing AACSB Standard A5 and Industry Demand. Journal of Emerging Technologies in Accounting 2021; doi: https://doi.org/10.2308/JETA-2020-024
Download citation file:
Sign in
Don't already have an account? Register
Client Account
You could not be signed in. Please check your email address / username and password and try again.
Sign in via your Institution
Sign in via your Institution
23
Views
0
Citations