Publication Type
Journal Article
Version
publishedVersion
Publication Date
12-2024
Abstract
This research investigates the opportunities and challenges of integrating generative artificial intelligence (GenAI) into business higher education, drawing insights from an asynchronous focus group research study with doctoral students who serve dual roles as both learners and educators. Key opportunities identified through thematic analysis include knowledge acquisition, intelligent co-ideation, supportive augmentation, and personalized learning. Challenges identified include AI trustworthiness, cognitive dependency, human value, policy and instruction, assessment integrity, and identity management. This study clarifies GenAI’s specific role in business education and provides practical insights for effectively integrating GenAI to enhance learning outcomes and address emerging challenges. An analysis theory on the opportunities and challenges of GenAI on business higher education is developed and described in the paper. The potential impact of Agentic Artificial Intelligence (autonomous AI agents) and Artificial General Intelligence (AGI) on education is also discussed.
Keywords
Generative Artificial Intelligence, Agentic Artificial Intelligence, Artificial General Intelligence, Focus Group Study, Qualitative Research, Business Higher Education
Discipline
Artificial Intelligence and Robotics | Business | Databases and Information Systems | Higher Education
Research Areas
Data Science and Engineering
Publication
Journal of Global Information Management
Volume
32
Issue
1
First Page
1
Last Page
21
ISSN
1062-7375
Identifier
10.4018/JGIM.364093
Citation
HUO, Xuenan and SIAU, Keng.
Generative Artificial Intelligence in business higher education: A focus group study. (2024). Journal of Global Information Management. 32, (1), 1-21.
Available at: https://ink.library.smu.edu.sg/sis_research/9944
Copyright Owner and License
Authors-CC-BY
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Additional URL
https://doi.org/10.4018/JGIM.364093

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Artificial Intelligence and Robotics Commons, Business Commons, Databases and Information Systems Commons, Higher Education Commons