Abstract:

Risk is often described in the professional literature. It is, however, treated as a general phenomenon in the management of an enterprise, or it refers to its particular category (eg regulatory, currency, professional risk, etc.). Relatively little has been published about the risk of human factor in organization in operational terms (in this paper, we also use the term “the risk of employee errors”). Employees are a source of innovation, but employee is at the same time a critical "element" (resource) of the organization and the medium of greatest risk. Many experts judge current methods of HRA (Human Reliability Analysis) as not detailed enough and too simplistic in relation to the concept of human error. Conducting HRA, despite simulation modeling, is obviously difficult (Piesik et a., 2014). Nevertheless, such analyzes should be performed in the operational environment of the company, with a particular emphasis on the dynamic nature of the phenomenon. As a result, it is about creating forecasts and algorithms for possible behavior / events involving employees.  The purpose of this work is to present a proposal for system analysis of human error risk as a management tool. Design/methodology: The model presented in this paper was tested in a polish critical infrastructure enterprise for a period of 18 months. Research data were collected automatically from tablets, which monitored the tasks carried out by employees using a special application. Findings: In this study the system based on automatic measurement of human error risk is presented. Human participation in processes related to the analysis and management of human error risk has been kept to a minimum. The tested system received implementation recommendations. Originality/value – This article presents a new approach to developing a model that can be used as a tool for predicting potential human errors and managing personnel risk. Presented solution may support the management in measuring and analyzing human errors and managing the enterprise's activity.