Noor, Nurhafihz, Dubos, Lance, Tan, Sook Rei, and Tan, Kim Lim (2025) Implementing AI technologies in various business subjects. In: Popenici, Stefan, Rudolph, Jürgen, Ismail, Fadhil, and Tan, Shannon, (eds.) Handbook of Artificial Intelligence in Higher Education. Elgar Handbooks in Education . Edward Elgar, Cheltenham, UK, pp. 503-515.

PDF (Author Accepted Version) - Accepted Version Restricted to Repository staff only until 17 December 2026.

Abstract

Technology continues to play an important role in the facilitation of teaching in higher education. However, the speed of advancements in artificial intelligence (AI) and the ability of AI to integrate into various aspects of student learning have resulted in institutions playing catch-up in deciding how best to use AI. Within the business school and its myriad of disciplines, this brings to attention the need for a better understanding and coordination of the implementation of AI. Using an autoethnographic approach, this chapter aims to shed light on the impact of AI across different business subjects in universities and provides strategic directions for the effective implementation and research of AI for business faculty educators.

Item ID:	90198
Item Type:	Book Chapter (Research - B1)
ISBN:	9781035338764
Keywords:	Artificial intelligence (AI); Artificial intelligence in education; Higher education; ChatGPT; Business school
Copyright Information:	Copyright: The Editors and Contributing Authors Severally 2025. The AAM of one chapter may be posted by each contributor after 12 months.
Date Deposited:	05 Jan 2026 23:03
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified @ 50% 39 EDUCATION > 3903 Education systems > 390303 Higher education @ 50%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 50% 16 EDUCATION AND TRAINING > 1601 Learner and learning > 160102 Higher education @ 50%
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