A grounded exploration of organisational risk propensity

Ian A. Harwood, Stephen C. Ward and Chris B. Chapman

Journal of Risk Research, 2009, vol. 12, issue 5, 563-579

Abstract: Organisational risk propensity directly affects the decision-making behaviour of employees, with linked impacts on the ongoing prosperity of the organisation. The literature on an individual's risk behaviour is extensive. However, few studies investigate the risk propensity of an organisation. This study uses primary data from interviews within a major change programme in a FTSE100 pharmaceutical organisation to explore the characteristics of organisational risk propensity. The data are analysed using open coding procedures from Grounded Theory in order to fragment the category of 'organisational risk propensity' into some constituent properties and dimensions. An integrative framework is then inductively derived which provides insights into risk propensity within the case context; together with some cues for implementing changes to the organisation's risk propensity if so desired. The output from this research also provides a useful base from which to develop a survey instrument for assessing organisational risk propensity.

Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/13669870802497751 (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:563-579

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

DOI: 10.1080/13669870802497751

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 ().