| 000 | 01660nam a22001457a 4500 | ||
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_c520295 _d520295 |
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| 008 | 220907b ||||| |||| 00| 0 eng d | ||
| 100 |
_aMeijer, Albert, Lorenz, Lukas and Wessels, Martin _933894 |
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| 245 | _aAlgorithmization of bureaucratic organizations: Using a practice lens to study how context shapes predictive policing systems | ||
| 260 | _aPublic Administration Review | ||
| 300 | _a81(5), Sep-Oct, 2021: p.837-846 | ||
| 520 | _aThe 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. – Reproduced | ||
| 773 | _aPublic Administration Review | ||
| 906 | _aPUBLIC SECTORS | ||
| 942 | _cAR | ||