Digital accounting and economics simulations in business education: Preparing future professionals for data-driven economies
1 School of Business Education, Federal College of Education (Technical) Gombe, Nigeria
* Corresponding author: abubakarmahmudt@gmail.com
* Corresponding author: abubakarmahmudt@gmail.com
Abstract
In today’s data-driven economy, business education must evolve to prepare students for complex financial
environments shaped by digital technologies. This conceptual paper explores the integration of digital
accounting tools and economic simulations in business education as a pathway to equipping future
professionals with essential analytical, technological, and decision-making skills. Grounded in Experiential
Learning Theory, the Technology Acceptance Model, and Human Capital Theory, the paper discusses how
these tools enhance student engagement, improve learning outcomes, and align curricula with industry
demands. It highlights the complementary nature of digital accounting and economic simulations, offering a
holistic approach to understanding micro- and macroeconomic decision-making. Despite infrastructural,
pedagogical, and equity-related challenges, the paper argues for targeted curriculum reform, faculty
development, and public–private partnerships to support effective integration. The study concludes with
strategic recommendations for aligning business education with the demands of digital economies, thereby
fostering graduate employability, economic resilience, and instructional relevance
Keywords
business education
digital accounting
economic simulations
data-driven economy
experiential learning
curriculum innovation
technology in education
How to Cite
Tukur, A. M., Ahmed, S., & Bello, A. (2025). Digital accounting and economics simulations in business education: Preparing future professionals for data-driven economies. Impressive Journal of Management and Social Sciences, 1(2), 226-236.
A. M. Tukur, S. Ahmed, and A. Bello, "Digital accounting and economics simulations in business education: Preparing future professionals for data-driven economies," Impressive Journal of Management and Social Sciences, vol. 1, no. 2, pp. 226-236, June 2025.