LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Davies, Jonathan S.; Spicer, Andre (2014)
Publisher: Pion
Languages: English
Types: Article
Subjects: critique, HD, networks, governance
Identifiers:doi:10.1068/c11292
Networks have rapidly become the dominant trope in governance theory and practice. While scholarship highlights important benefits, there has been insufficient systematic interrogation of the potential pathologies in network governance. This paper addresses the lacuna. We begin by discussing different kinds of network analysis and distinguishing the specific claims of network governance theory. We then pull together the scattered critically oriented literatures on the topic, identifying major problems with network modes of governance: hypocrisy, distrust, marketization, subjugation, antiproceduralism, fragmentation, and ‘netsploitation’. We finally argue for a more agnostic approach to governance research, capable of taking account of these pathologies and thereby putting networks in their place. This means avoiding the fetishization of particular modes of governance and giving more careful attention to the settings in which they each can be useful. Keywords: networks, hierarchy, market, governance, orthodoxy, critique
  • No references.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article