Abstract
The aim of this study was to develop a taxonomy of human factors that influence human errors and faults that cause injury accidents in hands in the automotive manufacturing industry harnesses. The methodology cultural consensus theory of Cognitive Anthropology with a mixed-method approach to collecting and analyzing data was used. Collection instrument known as free listings to identify about the point of view of members of the security group, successive card sorting was applied in data collection for the classification of the elements of the cultural domain. The statistical models; multidimensional scaling and cluster analysis were applied to obtain mutually exclusive and high-level categories, internal validity and reliability of survey participants were estimated with Cronbach’s alpha coefficient. The main result was a taxonomy composed of five categories: unsafe acts, unsafe conditions, personal factors, supervision and organizational factors. Future studies are required to validate the taxonomy.
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