人工智能的使用如何影响街道官员的行政问责感？感知到的自由裁量权的中介效应

IF 5 2区管理学 Q1 MANAGEMENT

Public Management Review Pub Date : 2024-06-27 DOI:10.1080/14719037.2024.2370982

Yi Deng, Yu Sun

引用次数: 0

摘要

人工智能已越来越多地应用于公共组织的决策过程，但我们对人工智能如何影响公共机构的行政问责却知之甚少。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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How does the usage of artificial intelligence affect felt administrative accountability of street-level bureaucrats? The mediating effect of perceived discretion

Artificial intelligence has been increasingly applied in the decision-making process of public organizations, yet we know little about how it affects the felt administrative accountability of stree...

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来源期刊

Public Management Review Multiple-

CiteScore

10.90

自引率

16.30%

发文量

期刊介绍： Public Management Review seeks to: -explore the developing field of public management -embrace research both about the strategic and operational management of public services and about social/public policy development and implementation -encourage in particular work which either presents new empirical knowledge about public management and/or developed theory -encourage questioning both of the legitimacy and hegemony of the ’new public management’ paradigm and its alternatives, and of the developing pluralism in public management which encompasses the governance of inter-sectoral relationships between government, non-profit and for-profit organisations in the provision of public services. The remit of Public Management Review is to promote the dissemination and discussion of such research about public management. Its specific target audience is the academic and research community. Public Management Review is an international journal, seeking to draw together and learn lessons from the development of public management across the world rather than being parochially focused upon one area and encourages cross-national and comparative research papers. The journal promotes inter-disciplinary work. Much of the most important work about public management is coming at the cusp of traditional disciplines. Public Management Review promotes such cross-boundary learning and conceptualisation.