The Politics of Crisis Management: Public Leadership under Pressure
Crisis management has become a defining feature of contemporary governance. In times of crisis, communities and members of organizations expect their leaders to minimize the impact, while critics and bureaucratic competitors make use of social media to blame incumbent rulers and their policies. In this extreme environment, policymakers must somehow establish a sense of normality, and foster collective learning from the crisis experience. In the new edition of this uniquely comprehensive analysis, the authors examine how strategic leaders deal with the challenges they face, the political risks and opportunities they encounter, the pitfalls they must avoid, and the paths towards reform they may pursue. The book is grounded in decades of collaborative, cross-national and multidisciplinary case study research and has been updated to include new insights and examples from the last decade. This is an original and important contribution from experts in public policy and international security.
yazar | Bengt Sundelius Arjen Boin , Paul t Hart , Eric Stern |
---|---|
Boyutlar ve boyutlar | 15.24 x 1.22 x 22.86 cm |
Tarafından yayınlandı | 21 Kasım 2016 |
1 x 13,5 x 21 cm United States Congress Icon Group International Babadada Gmbh Collectif 5 Ocak 2017 17.78 x 0.61 x 25.4 cm HardPress Publishing Kolektif 31 Ağustos 2012 21,6 x 0,2 x 27,9 cm 21,6 x 0,6 x 27,9 cm 20,3 x 0,6 x 25,4 cm 28 Şubat 2018 14.81 x 0.48 x 21.01 cm 3 Ocak 2017 4 Ocak 2017 1 Eylül 2020
okumak okumak kayıt olmadan
Sürüm ayrıntıları
yazar | Bengt Sundelius Arjen Boin , Paul t Hart , Eric Stern |
---|---|
isbn 10 | 9781107544253 |
isbn 13 | 978-1107544253 |
Yayımcı | Cambridge University Press |
Dilim | İngilizce |
Boyutlar ve boyutlar | 15.24 x 1.22 x 22.86 cm |
Tarafından yayınlandı The Politics of Crisis Management: Public Leadership under Pressure | 21 Kasım 2016 |
En son kitaplar
benzer kitaplar
Towards Unsupervised Fuzzy Discovery of an Undetermined Number of Clusters for a
okumak kayıt olmadan
Towards Unsupervised Fuzzy Discovery of an Undetermined Number of Clusters for a
okumak kayıt olmadan