Generative AI in International Business Research: A Guide to Ethical and Responsible Application

被引：1
|
作者：
Benmamoun, Mamoun [1 ]
机构：
[1] St Louis Univ, Int Business, Richard A Chaifetz Sch Business, Boeing Inst Int Business, St Louis, MO 63103 USA
来源：
THUNDERBIRD INTERNATIONAL BUSINESS REVIEW | 2025年 / 67卷 / 01期
关键词：
academic integrity; artificial intelligence; generative AI; international business research;
D O I：
10.1002/tie.22415
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
As generative artificial intelligence (GenAI) becomes more prevalent in academic circles, this article probes its ethical and practical integration in international business (IB) research. It explores the different phases of the research process where GenAI can be effectively employed, including idea generation, data analysis, and writing and communication. Notably, the article emphasizes the critical importance of upholding responsible and ethical standards when incorporating GenAI into IB research, guaranteeing that its utilization not only contributes to knowledge advancement but also conforms to the highest research integrity benchmarks.
引用
收藏
页码：139 / 146
页数：8
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