Generative Artificial Intelligence in Business Higher Education

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.

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Publication Details

Journal
Journal of Global Information Management
Published
2024-12-11
DOI
https://doi.org/10.4018/jgim.364093
Citations
21
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
11.10
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article

Generative Artificial Intelligence in Business Higher Education

Keng Siau, Xuenan Huo
21 citations
Journal of Global Information Management
Big Data and Business Intelligence
11.10
article

Generative Artificial Intelligence in Business Higher Education

Keng Siau, Xuenan Huo
article en
21 citations

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.

Journal of Global Information ManagementVol. 32(1)
City University of Hong Kong (HK), Singapore Management University (SG)
Openalex Percentile: Top 1%
Big Data and Business Intelligence
11.10
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