THE GHOST IN THE MACHINE, OR THE GHOST IN ORGANIZATIONAL THEORY? A COMPLEMENTARY VIEW ON THE USE OF MACHINE LEARNING
成果类型：
Editorial Material
署名作者：
Fisher, Greg
署名单位：
Indiana University System; Indiana University Bloomington
刊物名称：
ACADEMY OF MANAGEMENT REVIEW
ISSN/ISSBN：
0363-7425
DOI：
10.5465/amr.2020.0524
发表日期：
2024
页码：
445-448
关键词：
摘要：
Within the span of one year only, interest in the topic of machine learning (ML) and algorithms has & Xu, 2022; Lindebaum, Vesa, & den Hond, 2020). The article by Leavitt, Schabram, Hariharan, and Barnes (2021) on original theory (OT) in the age of ML speaks to this debate. They defined ML as a broad subset of artificial intelligence, wherein a computer program applies algorithms and statistical models to construct complex patterns of inference within data. The intention is to expand their article towards the understanding that ML can function as a powerful catalyst for the next chapter in the evolution of knowledge generation within organizational