A Communication--Human Information Processing (C--HIP) approach to warning effectiveness in the workplace

Vincent C. Conzola and Michael S. Wogalter

Journal of Risk Research, 2001, vol. 4, issue 4, 309-322

Abstract: Warnings are one of several hazard control methods used to protect employees and property against danger and loss. This article surveys a set of factors known to influence the effectiveness of workplace warnings. The description of empirical research is organized around a communication--human information processing (C--HIP) model. The model begins with a source entity attempting to relay a warning message through one or more media/sensory channels to one or more receivers. At the receiver, processing begins when attention is switched to the warning message and then maintained while information is extracted. Processing continues through the successive stages of comprehension, beliefs and attitudes, motivation, and ends with compliance behaviour. Any of these stages can be a bottleneck that causes processing to stop, diminishing the effectiveness of the warning. The factors that are influential at each stage are described. The C--HIP model provides a structure to systematically examine factors that can cause risk communication to fail and for finding ways to improve risk communication in the workplace.

Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/13669870110062712 (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:4:y:2001:i:4:p:309-322

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

DOI: 10.1080/13669870110062712

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 ().