Title of article :
Profiling risk sensibility through association rules
Author/Authors :
Lazzerini، نويسنده , , Beatrice and Pistolesi، نويسنده , , Francesco، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
7
From page :
1484
To page :
1490
Abstract :
In the last recent years several approaches to risk assessment and risk management have been adopted to reduce the potential for specific risks in working environments. A safety culture has also developed to let workers acquire knowledge and understanding of risks and safety. Notwithstanding, risks still exist in every workplace. One effective way to improve workers’ sensibility to risk, i.e., their ability to effectively assess and control the risks they are exposed to, is risk management training. Unfortunately, people may perceive risks in different ways depending on subjective assessment of the characteristics and severity of the considered risks, and may have tendencies to either take or avoid actions that they feel are risky. Therefore, the knowledge of how workers assess each of the risks they may be exposed to in the workplace is a key factor to conceive effective custom risk management training. In this paper we present a novel approach, based on association rules, to workers’ profiling with respect to risk perception and risk propensity in order to provide each of them with specific customized risk management training.
Keywords :
Association rules , Frequent patterns , Risk perception , risk propensity
Journal title :
Expert Systems with Applications
Serial Year :
2013
Journal title :
Expert Systems with Applications
Record number :
2353176
Link To Document :
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