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, extr...
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| Published in: | The Journal of applied behavioral science Vol. 60; no. 4; pp. 639 - 651 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Los Angeles, CA
SAGE Publications
01.12.2024
SAGE PUBLICATIONS, INC |
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| ISSN: | 0021-8863, 1552-6879 |
| Online Access: | Get full text |
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| 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. |
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| AbstractList | 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. |
| Author | Narayan, Devika Shestakofsky, Benjamin |
| Author_xml | – sequence: 1 givenname: Devika surname: Narayan fullname: Narayan, Devika – sequence: 2 givenname: Benjamin orcidid: 0000-0003-0797-2729 surname: Shestakofsky fullname: Shestakofsky, Benjamin |
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| Keywords | innovation labor and workforce dynamics technology financial control |
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bibr1-00218863241285456 doi: 10.1287/orsc.2022.1651 – volume-title: AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference year: 2024 ident: bibr44-00218863241285456 – ident: bibr13-00218863241285456 doi: 10.1146/annurev-soc-030420-120827 – ident: bibr9-00218863241285456 doi: 10.5465/amp.2019.0103 – ident: bibr15-00218863241285456 doi: 10.1177/0308518X20916507 – ident: bibr62-00218863241285456 doi: 10.1177/20539517241232630 – ident: bibr4-00218863241285456 doi: 10.1177/0003122417725865 – ident: bibr46-00218863241285456 doi: 10.14763/2024.2.1781 – ident: bibr54-00218863241285456 doi: 10.1177/2057047320959854 – ident: bibr68-00218863241285456 doi: 10.1145/3678884.3687147 – ident: bibr30-00218863241285456 doi: 10.2218/finsoc.v3i1.1936 – ident: bibr8-00218863241285456 doi: 10.1177/0308518X221136559 – ident: bibr24-00218863241285456 doi: 10.1002/smj.2904 – ident: bibr18-00218863241285456 doi: 10.1080/1369118X.2024.2400130 – volume-title: Capitalism, 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| Title | Relationships That Matter: Four Perspectives on AI, Work, and Organizations |
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