Bureaucratic bias in integrated administrative systems
A large‐scale study of government officials
Bibliographic Data
| ID | 6263370 |
|---|---|
| Authors | Jarle Trondal (0000-0002-6723-7761, University of Agder Kristiansand Norway), Gjermund Haslerud (University of Agder Kristiansand Norway) |
| Year | 2024 |
| Volume | 37 |
| Issue | 2 |
| Pages | 475-495 |
| Publication date | 2024-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Governance (JOURNAL) |
| Journal identifiers | ISSN: 0952-1895 • E-ISSN: 1468-0491 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/gove.12780 |
| OpenAlex | W4366279051 |
| Language | EN |
| Citations received | 2 |
| References cited | 75 |
The study examines bureaucrats facing administrative architectures that are multiple, overlapping, ambiguous and sometimes incompatible. It makes two main contributions. Firstly, by an organizational approach it derives fine‐grained predictions on how bureaucrats maneuver when taking part in integrated multilevel administrative orders. Secondly, benefitting from a large‐N data‐set (N = 4285) from 16 ministries and 47 government agencies in Norway, the study demonstrates how organizational factors systematically ‘moderate’ and bias behavioral perceptions among government officials. Moreover, to probe the robustness of explanatory models, the study specifies patterns of moderation by outlining multiple interaction models as well as illustrating how interaction effects unfold. The study finds that few moderators make dramatic effects by profoundly weakening relationships. Moderating variables either strengthen or attenuate already apparent effects, thus probing the empirical robustness of the models
Bureaucracy · Economics · Government (linguistics · Moderation · Multilevel model · Perception · Political science · Robustness (evolution · Computer Science · Nonprofit Sector and Volunteering · Psychology · Public Policy and Administration Research · Regulation and Compliance Studies · Social Psychology
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| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |