• 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