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Article . 2024 . Peer-reviewed
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Algorithmic formalization: Impacts on administrative processes

Authors: Cordella, Antonio; Gualdi, Francesco;

Algorithmic formalization: Impacts on administrative processes

Abstract

AbstractThis paper investigates the influence of algorithms on the administrative processes within public organizations, utilizing the foundational theory of formalization from Walsh and Dewar (1987) as a framework. Introduces the concept of “algorithmic formalization”, a new form of formalization induced by the adoption of algorithms, which fundamentally alters administrative workflows. Focusing on COMPAS algorithm used in the US judiciary for risk assessment, the paper illustrates how the algorithm serves multiple roles – as code, channel, and standard – systematizing administrative processes related to risk assessment and judicial decisions. By delving into COMPAS case study, the research sheds light on the novel concept of algorithmic formalization, emphasizing its significant repercussions for analyzing and applying algorithmic administrative processes.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
hybrid