ABSTRACT
The last 50 years extensive research has been conducted with regard to HRA, focusing on various aspects, such as definition and modeling of human error, data and information collection and evaluation, HRA techniques, etc. (Groth & Swiler 2013, Kirwan et al. 2008). Several tools and methods have been developed, broadly grouped in three generations (Bell & Holroyd 2009). ATHEANA, CREAM, HEART, OHPRA, and THERP are some of the most applied HRA methods. Despite, the extensive research on the field, the following issues remain challenging and even controversial for researchers and practitioners (Groth & Swiler 2013, Colombo & Demichela 2008, Kennedy et al. 2007, Trucco & Leva 2007):
– Quality of Data. It is widely accepted that various data are required in HRA, which need to be retrieved from various sources such as related data and knowledge bases, experiments, and analysis of the organizational and behavioral structure of the specific organizations investigated per case. So far, a methodology for the integration of data sources for HRA has not been achieved, thus retaining the use of methods, which deal only with a small part of the data required for HRA.
