Relationships That Matter: Four Perspectives on AI, Work, and Organizations

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.

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Publication Details

Journal
The Journal of Applied Behavioral Science
Published
2024-10-14
DOI
https://doi.org/10.1177/00218863241285456
Citations
7
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
7.92
Controls
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article

Relationships That Matter: Four Perspectives on AI, Work, and Organizations

Benjamin Shestakofsky, Devika Narayan
7 citations
The Journal of Applied Behavioral Science
Digital Economy and Work Transformation
7.92
article

Relationships That Matter: Four Perspectives on AI, Work, and Organizations

Benjamin Shestakofsky, Devika Narayan
article en
7 citations

Abstract

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.

The Journal of Applied Behavioral ScienceVol. 60(4)
University of Bristol (GB), University of Pennsylvania (US)
Decent work and economic growth
Openalex Percentile: Top 3%
Digital Economy and Work Transformation
7.92
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