#11906. Organization and Algorithm : How Organizations Make Algorithmic Categories, Comparisons, and Evaluations Relevant
July 2026 | publication date |
Proposal available till | 28-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Sociology and Political Science;
Social Psychology; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
Abstract:
This article analyzes how organizations endow algorithms, which we understand as digital formats of observation, with agency, thus rendering them actionable. Our main argument is that the relevance of digital observation formats results from how organizations embed them in their decision architectures. We demonstrate this using the example of the Public Employment Service, which introduced an algorithm in 20XX to evaluate the chances of unemployed persons being reintegrated in the labor market. In this regard, the algorithm serves as an exemplary case for the current trend among public organizations to harness algorithms for distributing limited resources in a purportedly more efficient way. To reconstruct how this is achieved, we delineate how the algorithm categorizes, compares, and evaluates persons. Building on this, we demonstrate how the algorithmic model is integrated into the organizational decision architecture and thereby made actionable. In conclusion, algorithmic models like the algorithm also pose a challenge for organizations because they mute chances for realizing organizational learning.
Keywords:
Algorithms; Digital observation formats; Digitization; Organizational learning; Public organizations
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