{"title":"综合行政系统中的官僚偏见:对政府官员的大规模研究","authors":"Jarle Trondal, Gjermund Haslerud","doi":"10.1111/gove.12780","DOIUrl":null,"url":null,"abstract":"<p>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 (<i>N</i> = 4285) from 16 ministries and 47 government agencies in Norway, the study demonstrates how organizational factors systematically ‘moderate’ and bias behavioral <i>perceptions</i> 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.</p>","PeriodicalId":48056,"journal":{"name":"Governance-An International Journal of Policy Administration and Institutions","volume":"37 2","pages":"475-495"},"PeriodicalIF":2.6000,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bureaucratic bias in integrated administrative systems: A large-scale study of government officials\",\"authors\":\"Jarle Trondal, Gjermund Haslerud\",\"doi\":\"10.1111/gove.12780\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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 (<i>N</i> = 4285) from 16 ministries and 47 government agencies in Norway, the study demonstrates how organizational factors systematically ‘moderate’ and bias behavioral <i>perceptions</i> 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.</p>\",\"PeriodicalId\":48056,\"journal\":{\"name\":\"Governance-An International Journal of Policy Administration and Institutions\",\"volume\":\"37 2\",\"pages\":\"475-495\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Governance-An International Journal of Policy Administration and Institutions\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/gove.12780\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"POLITICAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Governance-An International Journal of Policy Administration and Institutions","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/gove.12780","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
Bureaucratic bias in integrated administrative systems: A large-scale study of government officials
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.
期刊介绍:
Governance provides a forum for the theoretical and practical discussion of executive politics, public policy, administration, and the organization of the state. Published in association with International Political Science Association''s Research Committee on the Structure & Organization of Government (SOG), it emphasizes peer-reviewed articles that take an international or comparative approach to public policy and administration. All papers, regardless of empirical focus, should have wider theoretical, comparative, or practical significance.