Efficient, Explicatory, and Equitable: Why Qualitative Researchers Should Embrace AI, but Cautiously

IF 5.3 3区管理学 Q1 BUSINESS

Business & Society Pub Date : 2023-03-28 DOI:10.1177/00076503231163286

Shafiullah Anis, Juliana A. French

引用次数: 3

Abstract

Qualitative researchers, particularly those researching business and society topics, should embrace artificial intelligence (AI) to conduct efficient, explicatory, and equitable research but also exercise caution to avoid its pitfalls.

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高效、解释和公平:为什么定性研究人员应该拥抱人工智能，但要谨慎

定性研究人员，特别是那些研究商业和社会主题的研究人员，应该接受人工智能，以进行高效、解释性和公平的研究，但也要谨慎行事，避免其陷阱。

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

Business & Society BUSINESS-

CiteScore

14.80

自引率

11.40%

发文量

期刊介绍： Business & Society publishes original research, book reviews, and dissertation abstracts relating to business ethics, business-government relations, corporate governance, corporate social performance, and environmental-management issues. Manuscripts relating to the field of business and society in general are also published. Submissions of theoretical/ conceptual work as well as empirical studies are encouraged. Business & Society is the first peer-reviewed scholarly publication devoted exclusively to the field of business and society, and it is the official journal of the International Association for Business and Society (I.A.B.S.), the only independent professional association dedicated to business and society teaching and research.