The Evolution of Technology in Accounting Education: A Bibliometric Analysis of Research Trends and Teaching Innovations
The rapid advancement of technology has significantly transformed accounting education, necessitating a deeper understanding of its impact on teaching practices and research trends. This study aims to explore the evolution of technology in accounting education through a bibliometric analysis, focusing on identifying key research trends, innovative teaching methods, and their implications for curriculum development. The significance of this study lies in its ability to provide actionable insights for educators, policymakers, and researchers to enhance pedagogy, align academic standards with industry needs, and prepare students for a technology-driven professional landscape. The methodology involves a comprehensive bibliometric analysis of peer-reviewed literature on technology in accounting education. Using data visualization and trend analysis tools, the study examines publication patterns, influential works, emerging themes, and key research gaps. The applied approach ensures a robust synthesis of existing knowledge while uncovering future opportunities for academic and practical advancements. The findings reveal significant trends in the adoption of digital tools, such as artificial intelligence, data analytics, and cloud computing, as well as their integration into accounting education. These outcomes demonstrate the growing emphasis on equipping students with competencies aligned with modern industry requirements. The study also identifies innovative teaching practices and potential areas for further research, offering valuable contributions to the academic community and professional organizations. Overall, this study contributes to the field by providing a roadmap for enhancing accounting education through technology integration, fostering better alignment between academia and industry, and encouraging future research on emerging technological trends.
Authors
- Emiza Tahar
- Yusliena Yusoff
- Rohayati Jusoh
- Inayah Abdul Aziz
Institutions
- Universiti Teknologi MARA (MY)
Publication Details
- Journal
- Information Management and Business Review
- Published
- 2025-02-18
- DOI
- https://doi.org/10.22610/imbr.v17i1(i).4394
- Citations
- 1
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 2.11
Funders
- Universiti Teknologi MARA