Too much of a good thing? A systematic review about the conditions of learning in governance networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Too much of a good thing? A systematic review about the conditions of learning in governance networks

Published:2020-05-27 Issue:1 Volume:7 Page:147-164
ISSN:2380-6567
Container-title:European Policy Analysis
language:en
Short-container-title:Eur Policy Anal

Author:

Riche Cécile¹^ORCID,Aubin David¹,Moyson Stéphane²^ORCID

Affiliation:

1. Institut de Sciences Politiques Louvain‐Europe Université Catholique de Louvain Louvain‐la‐Neuve Belgium

2. Institut de Sciences Politiques Louvain‐Europe Université Catholique de Louvain Mons Belgium

Funder

Belgian Research Action through Interdisciplinary Networks

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Health Policy,Public Administration

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/epa2.1080

Reference73 articles.

1. Inside Collaborative Networks: Ten Lessons for Public Managers

2. Unlock Local Forces and Improve Legitimacy: A Decision Making Scheme in the European Union Towards Environmental Change

3. Learning effects of interactive decision-making processes for climate change adaptation

4. From transactional to transformational leadership: Learning to share the vision

5. Policy Learning in Regional Networks

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The multifaceted nature of trust in the uptake of advice: policy advice utilization in ministerial cabinets;Policy Studies;2024-07-22

2. Does anxiety increase policy learning?;Policy Studies Journal;2024-02-23

3. Learning in European Administrative Networks: a process to all or only to a few?;Journal of Public Policy;2024-02-14

4. The relative effects of diversity on collective learning in local collaborative networks in Belgium;POLICY POLIT;2024

5. Impact of learning city networks on multi-level urban development and transformation processes;European Spatial Research and Policy;2023-12-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3