skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Search for: All records

Award ID contains: 2211943

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. Abstract Artificial intelligence (AI) has long held the promise of imitating, replacing, or even surpassing human intelligence. Now that the abilities of AI systems have started to approach this initial aspiration, organization and management scholars face a challenge in how to theorize this technology, which potentially changes the way we view technology: not as a tool, but as something that enters previously human‐only domains. To navigate this theorizing challenge, we adopt the problematizing review method by engaging in a selective and critical reading of the theoretical contributions regarding AI, in the most influential organization and management journals. We examine how the literature has grounded itself with AI as the root metaphor and what field assumptions about AI are shared – or contested – in the field. We uncover two core assumptions of rationality and anthropomorphism, around which fruitful debates are already emerging. We discuss these two assumptions and their organizational boundary conditions in the context of theorizing AI. Finally, we invite scholars to build distinctive organization and management theory scaffolding within the broader social science of AI. 
    more » « less
    Free, publicly-accessible full text available July 4, 2026