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

IF 2.2 Q3 BUSINESS
Mamoun Benmamoun
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引用次数: 0

Abstract

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.

生成人工智能在国际商业研究:道德和负责任的应用指南
随着生成式人工智能(GenAI)在学术界的普及,本文探讨了其在国际商务(IB)研究中的伦理和实践整合。它探讨了GenAI可以有效应用的研究过程的不同阶段,包括创意产生、数据分析、写作和交流。值得注意的是,文章强调了在将GenAI纳入IB研究时坚持负责任和道德标准的重要性,确保其利用不仅有助于知识进步,而且符合最高的研究诚信基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.30
自引率
9.10%
发文量
73
期刊介绍: Thunderbird International Business Review is a peer-reviewed journal that is published six times a year in cooperation with the Thunderbird School of Global Business Management, the world"s leading institution in the education of global managers. The journal"s aim is to advance and disseminate research in the field of international business. Its main target audience includes academicians and executives in business and government who have an interest in international business.
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