Investigation of Risk Perception of Employees Using Clustering Analysis: A Case Study of Iron-Steel Industry

Özet

Öz: The iron and steel industry is a dangerous industry where heavy and extremely large and dangerous materials are used. In this study, occupational accidents, risk awareness and risk perception levels of employees were measured on an iron and steel enterprise operating in Karabuk province and the differences of these perceptions according to socio-demographic conditions were investigated. IBM SPSS Statistics 22.0 package program was used to evaluate the data obtained from 106 participants by questionnaire method. In the modeling part of the study, two-stage clustering analysis, which is one of the multivariate statistical methods, was used. The similarities of the answers given about the risk perception of the employees of the enterprise according to the socio-demographic information were investigated. As a result of the study, educational status and age factor related to the measured concepts came to the fore.