International Journal For Multidisciplinary Research

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Impact of Artificial Intelligence on Commerce Education: an Analytical Study of Opportunities and Challenges in Higher Education

Author(s) Mr. Ravi Kiran S, Ms. Nandini B, Ms. Sowmya K, Mr. Chandan KM, Ms. Hemalatha GG
Country India
Abstract Abstract
Objective: This systematic review examines the impact of Artificial Intelligence (AI) on commerce education in higher education by synthesizing existing empirical evidence on its opportunities, challenges, and future implications for teaching and learning.
Design: A systematic literature review design was adopted following the PRISMA 2020 guidelines. Relevant peer-reviewed studies published between 2020 and 2026 were identified from major academic databases, including Scopus, Web of Science, Google Scholar, ERIC, and IEEE Xplore.
Methods: Studies were selected based on predefined inclusion and exclusion criteria focusing on AI applications in commerce and business education. Data were extracted and analyzed using a thematic synthesis approach to identify major patterns related to AI adoption, educational benefits, implementation challenges, ethical concerns, and future research directions.
Results: The review indicates that AI technologies, including generative AI tools, intelligent tutoring systems, and adaptive learning platforms, have significantly enhanced personalized learning, student engagement, research productivity, and digital competency among commerce students. However, challenges such as academic integrity, algorithmic bias, data privacy, faculty preparedness, and overdependence on AI-generated content remain significant barriers to effective implementation. Ethical governance and institutional readiness emerged as critical factors influencing the successful integration of AI in commerce education.
Conclusion: Artificial Intelligence has the potential to transform commerce education by improving learning outcomes and fostering innovation in teaching and assessment. Nevertheless, its successful adoption requires comprehensive institutional policies, faculty training, ethical guidelines, and responsible AI governance to ensure sustainable and effective implementation in higher education.
Keywords Artificial Intelligence; Commerce Education; Higher Education; Generative Artificial Intelligence; ChatGPT; Digital Learning; Educational Technology; Systematic Review; Teaching and Learning; Ethical Artificial Intelligence.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 4, July-August 2026
Published On 2026-07-07
DOI https://doi.org/10.36948/ijfmr.2026.v08i04.83113
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