Bibliographic Details
| Title: |
The Machine Hums! Addressing Ontological and Normative Concerns Regarding Machine Learning Applications in Organizational Scholarship. |
| Authors: |
Leavitt, Keith1 (AUTHOR), Schabram, Kira2 (AUTHOR), Hariharan, Prashanth3 (AUTHOR), Barnes, Christopher M.2 (AUTHOR) |
| Superior Title: |
Academy of Management Review. Apr2024, Vol. 49 Issue 2, p448-451. 4p. |
| Subject Terms: |
*INDUSTRIAL organization (Economic theory), *INNOVATION adoption, MACHINE learning, ONTOLOGY, POSITIVISM |
| Abstract: |
This article is a response by the original authors to commentaries of their 2021 article “Ghost in the machine: On organizational theory in the age of machine learning.” Here the original authors respond to several topics in the use of machine learning (ML) in organizational theory including ontological limitations of ML and the consequences of adopting ML. |
| Database: |
Business Source Premier |
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