The Effectiveness Validation of Psychosocial Risk Management Plans in an Organizational Working Environment Using Logistic Regression Analysis

Autor: Seung-Jo Han, Soo-Yun Kim, Dong-Hyung Lee
Rok vydání: 2021
Předmět:
Zdroj: Journal of Society of Korea Industrial and Systems Engineering. 44:78-84
ISSN: 2287-7975
2005-0461
DOI: 10.11627/jkise.2021.44.2.078
Popis: In addition to physical risks such as electrical, chemical, and mechanic ones in the workplace, psychosocial risks are also raising as an important issue in recent years in connection with human rights and work-life balance policies. The purpose of this study is to confirm the degree of effect of the psychosocial risk management plan at the workplace on workers through logistic regression analysis. Input data for logistic regression analysis is the results of a survey of 4,558 people conducted by the Institute for Occupational Safety and Health were used. There are 9 independent variables, including the change a workplace and confidential counseling, and the dependent variable is whether the worker feels the effect on the psychosocial risk management plan. As a result of this study, changes in work organization, dispute resolution procedures, provision of education program, notification of the impact of psychosocial risks on safety and health, and the persons in charge of solving psychosocial problems are shown effective in reducing worker’s psychosocial risks. This study drives which of the management plans implemented to reduce the psychosocial risk of workers in the workplace are effective, so it can contribute to the development of psychosocial risk management plans in the future.
Databáze: OpenAIRE