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

被引：13
|
作者：
Anis, Shafiullah [1 ,3 ]
French, Juliana A. [2 ]
机构：
[1] Monash Univ Malaysia, Mkt, Bandar Sunway, Malaysia
[2] Monash Univ Malaysia, Dept Mkt, Bandar Sunway, Malaysia
[3] Monash Univ, Mkt, Jalan Lagoon Selatan, Bandar Sunway 47500, Selangor, Malaysia
来源：
BUSINESS & SOCIETY | 2023年 / 62卷 / 06期
关键词：
AI-assisted qualitative research; algorithmic failure; artificial intelligence; efficient research; equitable research; large qualitative data;
D O I：
10.1177/00076503231163286
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：1139 / 1144
页数：6
相关论文
共 5 条
1