Abstract
Accidents at work not only cause personal suffering for the employees affected, but also cause a great deal of damage to companies. The aim of the study was to find out how companies react to accidents at work, to what extent they investigate the causes and which models and methods they use to prevent accidents. In a survey of 92 companies with more than 50 employees, it was confirmed that although occupational accidents cause the loss of 29.6 million working days every year and the associated costs of approx. 11.85 billion euros, only approx. 73% of the companies investigate all occupational accidents with injuries in accordance with the legal requirements in their company. 76% of the companies record the causes of occupational accidents in accordance with the TOP principle, finding that 57% of accidents are caused by direct human error, 22% are due to organisational failure, 12% of accidents are due to technical failure and 9% of accidents are due to so-called fundamental conditions. The fact that 30% of the companies surveyed do not record any different variants of human error at all and only 33% record all variants of human error as the cause of occupational accidents shows that the in-depth analysis of the causes of occupational accidents in the area of human error is not yet widespread in German companies. In addition, the survey was able to determine that only about 50% of the companies purposefully apply scientific models and methods to prevent the causes of human error. Furthermore, it could be determined that approx. 25% of the companies do not sanction rule-breaking unsafe behaviour at all and only 2.2% of the companies state to sanction such behaviour with defined measures according to standardised escalation levels, although human error is considered to be the main cause of occupational accidents, shows that the systematic planning of positive and negative consequences as a consequence of human unsafe behaviour is hardly present in German companies.
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Wöll, V., Sulíková, R. (2022). Current Usage of Models and Methods to Prevent Unsafe Behaviour of Employees in Industrial Companies. In: Kryvinska, N., Greguš, M. (eds) Developments in Information & Knowledge Management for Business Applications. Studies in Systems, Decision and Control, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-030-95813-8_24
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