Interactions among Cognitive Factors Affecting Unsafe Behavior: Integrative Fuzzy DEMATEL ISM Approach
Open Access
- 20 November 2020
- journal article
- research article
- Published by Hindawi Limited in Mathematical Problems in Engineering
- Vol. 2020, 1-18
- https://doi.org/10.1155/2020/8952624
Abstract
The prevention of industrial accidents is not completely practical by implementing safety programs unless focusing on protecting vulnerable workers. The unsafe behavior cognitive factors (UBCFs) are essential determinants contributing to human failure. This study aimed at eliciting the most important UBCFs, along with investigating hierarchical cause-effect interactions among them. A qualitative approach using metasynthesis was utilized to extract all essential UBCFs among industrial workplaces. Afterward, the relationships between UBCFs were recognized using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method and rated by an expert panel. Also, a hierarchical model was developed based on the final matrix of DEMATEL by employing the interpretive structural modeling (ISM) method. Ten criteria were extracted as UBCFs through the metasynthesis method. The threshold value was set as 0.175 in DEMATEL following experts ideas. Inadequacy of persons resilience and habitual rule ignorance were recognized as the most important predictive UBCFs. The developed model was tested through a case study in a petrochemical company. The results of the study can be used to help industrial managers and HSE practitioners to consider workers capabilities either cognitively or physically when designing the required tasks to reduce unsafe behaviors. Also, the findings of the study are applicable for other researchers to prioritize the most important factors affecting unsafe behavior in different workplaces.Keywords
Funding Information
- Shiraz University of Medical Sciences (95-01-04-11410)
This publication has 55 references indexed in Scilit:
- Learning from Fire Accident at Bouali Sina Petrochemical Complex PlantJournal of Failure Analysis and Prevention, 2019
- A hybrid model for human factor analysis in process accidents: FBN-HFACSJournal of Loss Prevention in the Process Industries, 2018
- The digital simulation and fuzzy evaluation to reduce the likelihood of unsafe behavior in nuclear decommissioningAnnals of Nuclear Energy, 2018
- Making workplaces safer: The influence of organisational climate and individual differences on safety behaviourHeliyon, 2017
- A risk-based shutdown inspection and maintenance interval estimation considering human errorProcess Safety and Environmental Protection, 2015
- An integrated method for human error probability assessment during the maintenance of offshore facilitiesProcess Safety and Environmental Protection, 2015
- Black swans, white swans, and 50 shades of grey: Remembering the lessons learned from catastrophic process safety incidentsProcess Safety Progress, 2013
- An algorithm for classifying error types of front-line workers based on the SRK frameworkInternational Journal of Industrial Ergonomics, 2008
- Importance of human contribution within the human reliability analysis (IJS-HRA)Journal of Loss Prevention in the Process Industries, 2008
- World Trade Report 2006World Trade Report, 2006