Podrobná bibliografia
| Názov: |
Relationships That Matter: Four Perspectives on AI, Work, and Organizations. |
| Autori: |
Narayan, Devika, Shestakofsky, Benjamin |
| Zdroj: |
Journal of Applied Behavioral Science; Dec2024, Vol. 60 Issue 4, p639-651, 13p |
| Predmety: |
ARTIFICIAL intelligence, LABOR supply, SCHOLARS, ADOPTIVE parents |
| Abstrakt: |
The past decade has witnessed a surge of interest in how AI will transform work and organizations, presenting scholars with the difficult task of studying emergent technologies. This article advances a relational perspective that emphasizes how firms and workers are situated in, and respond to, extra-organizational pressures and forces. We examine four sets of relationships that can frame scholarly engagement with AI: finance and technology, monopoly and competition, producers and adopters, and high-status and low-status workers. We argue that this perspective illuminates connections between levels of analysis that might otherwise seem unrelated, revealing how AI tools and practices are situated within, and contribute to, broader social, financial, and industrial dynamics. [ABSTRACT FROM AUTHOR] |
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Copyright of Journal of Applied Behavioral Science is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáza: |
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