Institutionalization of risk and safety management at the local governmental level in Sweden

Anna Johansson, Thomas Denk and Inge Svedung

Journal of Risk Research, 2009, vol. 12, issue 5, 687-708

Abstract: The starting point for this article is the need for empirical knowledge about organizational configuration for societal risk and safety management activities in a modern welfare society. In this paper, we use Sweden as an empirical frame to analyze the administrative management structure at the local governmental level. The analysis is based on statistical analysis of information from a web-survey with administrative chief/head officials ( n = 1283) with responsibilities for different municipal functions and sectors. The sample represented 25% of the Swedish municipalities ( n = 290) and the response rate was approximately 60% ( n = 766). The responses to two sets of questions (25 and 45 questions) are used for statistical analyses of management structures and task distribution within the municipal organizations. Principal component factor analyses with Varimax and Kaiser's Normalization was applied as a structure detection method. The results indicate a clear and uniform way to institutionalize societal risk and safety management at the local level. Furthermore, the management course of action is found to have different types of value characters. The implications that arise from the patterns identified in this study are considered to be of general relevance and topicality for research and practice in this area.

Date: 2009
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13669870802689290 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jriskr:v:12:y:2009:i:5:p:687-708

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RJRR20

DOI: 10.1080/13669870802689290

Access Statistics for this article

Journal of Risk Research is currently edited by Bryan MacGregor

More articles in Journal of Risk Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().