Abstract :

This study demonstrates a framework for integrating data analytics into an existing undergraduate accounting curriculum, that students are introduced to data analytics progressively while not requiring additional semester credit units. The Qasim model proposes course learning outcomes related to data analysis with specific course levels from lecturers and students of accounting study program. The findings showed that data analysis materials are identified as existing and impact changes in learning materials. Empirically, there are differences in the level of understanding and mastery of skills in data analysis tools between lecturers and students. The course that needed to develop the adoption of data analysis material is intermediate financial accounting expansively. This model can be a reference for lecturers and curriculum committees when updating the accounting curriculum to include data analytics integrating.

Keywords :

References :

1. Richardson VJ, Teeter R, Terrell K. Data Analytics for Accounting. McGraw-Hill Education New York, NY; 2021.
2. Qasim A, Kharbat FF. Blockchain technology, business data analytics, and artificial intelligence: Use in the accounting profession and ideas for inclusion into the accounting curriculum. J Emerg Technol Account. 2020;17(1):107-117.
3. Vien C. What to know about AACSB Accounting Standard A5. J Account Newsl. Published online 2018.
4. Andiola LM, Masters E, Norman C. Integrating technology and data analytic skills into the accounting curriculum: Accounting department leaders’ experiences and insights. J Account Educ. 2020;50(xxxx):100655. doi:10.1016/j.jaccedu.2020.100655

5. Debreceny R, Farewell S. XBRL in the accounting curriculum. Issues Account Educ. 2010;25(3):379-403.
6. Wijayasekera SC, Hussain SA, Paudel A, et al. Data analytics and artificial intelligence in the complex environment of megaprojects: Implications for practitioners and project organizing theory. Proj Manag J. 2022;53(5):485-500.
7. Rolliawati D, Khalid K, Rozas IS. Teknologi Opinion Mining untuk mendukung strategic planning. J Teknol Inf dan Ilmu Komput. 2020;7(2):293-302.
8. Pincus K V, Stout DE, Sorensen JE, Stocks KD, Lawson RA. Forces for change in higher education and implications for the accounting academy. J Account Educ. 2017;40:1-18.
9. Coyne JG, Coyne EM, Walker KB. A model to update accounting curricula for emerging technologies. J Emerg Technol Account. 2016;13(1):161-169.
10. Cascarino RE. Auditor’s Guide to Information Systems Auditing.; 2007.
11. Balaban I, Mu E, Divjak B. Development of an electronic Portfolio system success model: An information systems approach. Comput Educ. 2013;60(1):396-411. doi:10.1016/j.compedu.2012.06.013
12. Weirich TR, Tschakert N, Kozlowski S. Teaching data analytics skills in auditing classes using Tableau. J Emerg Technol Account. 2018;15(2):137-150.
13. Khan SAR, Godil DI, Jabbour CJC, Shujaat S, … Green data analytics, blockchain technology for sustainable development, and sustainable supply chain practices: evidence from small and medium enterprises. Ann Oper …. Published online 2021. doi:10.1007/s10479-021-04275-x
14. Scapens RW, Jazayeri M. ERP Systems and Management Accounting Change: Opportunities or Impacts? A Research Note. Vol 12.; 2003. doi:10.1080/0963818031000087907
15. Dzuranin AC, Jones JR, Olvera RM. Infusing data analytics into the accounting curriculum: A framework and insights from faculty. J Account Educ. 2018;43:24-39.
16. Birt J, Safari M, de Castro VB. Critical analysis of integration of ICT and data analytics into the accounting curriculum: A multidimensional perspective. Account Financ. 2023;63(4):4037-4063. doi:10.1111/acfi.13084
17. Tsiligiris V, Bowyer D. Exploring the impact of 4IR on skills and personal qualities for future accountants: a proposed conceptual framework for university accounting education. Account Educ. 2021;30(6):621-649. doi:10.1080/09639284.2021.1938616