Algorithmization of Bureaucratic Organizations: Using a Practice Lens to Study How Context Shapes Predictive Policing Systems

Autor:	Meijer, Albert, Lorenz, Lukas, Wessels, Martijn, Public management en publieke innovaties, UU LEG Research USG Public Matters
Přispěvatelé:	Public management en publieke innovaties, UU LEG Research USG Public Matters
Rok vydání:	2021
Předmět:	Marketing Government Public Administration Sociology and Political Science Process (engineering) Management science business.industry media_common.quotation_subject Public sector Context (language use) Organizational patterns Predictive policing Bureaucracy Sociology business media_common Qualitative research
Zdroj:	Public Administration Review, 81(5), 837. Wiley Subscription Services, Inc., A Wiley Company
ISSN:	1540-6210 0033-3352
DOI:	10.1111/puar.13391
Popis:	The current scientific debate on algorithms in the public sector is dominated by a focus on technology rather than organizational patterns. This paper extends our understanding of these patterns by studying the algorithmization of bureaucratic organizations, which is the process in which an organization rearranges its working routines around the use of algorithms. To explore the algorithmization of bureaucratic organizations, we conducted a comparative empirical analysis of predictive policing in Berlin (Germany) and Amsterdam (Netherlands) through in-depth qualitative research. Our study identified two emergent patterns: the ‘algorithmic cage' (Berlin, more hierarchical control) and the ‘algorithmic colleague' (Amsterdam, room for professional judgment). These patterns result from administrative cultures and reinforce existing patterns of organization. The study highlights that two patterns of algorithmization of government bureaucracy can be identified and that these patterns depend on dominant social norms and interpretations rather than the technological features of algorithmic systems.
Databáze:	OpenAIRE
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