Are organizations committed to stress management interventions?
Dorota Molek-Winiarska , Katarzyna Molek-Kozakowska
AbstractPurpose – Work-related stress causes individual, societal and economic costs. Stress management interventions (SMIs) are implemented to decrease those costs, reduce the psychosocial harms and increase workers’ productivity. This article reports on a study of a substantial sample of enterprises to verify what types of SMIs they implemented and how they assessed the results of these interventions. Design/methodology/approach – Specially designed surveys were collected in 2015–2017 from 408 organizations of different sizes and sectors in Poland, including multinationals. The reliability of the questionnaire was satisfactory (Cr. 0.84). Findings – Results show that 59% of enterprises are aware of SMIs but only about 30% implemented one within the last three years. The implementations usually covered both organizational and individual-level interventions. The assessment of SMI effectiveness was conducted in just about one-third of the organizations and was based on estimations of the levels and sources of stress. Hardly any companies compared economic and psychosocial costs of stress before and after SMIs. Research limitations/implications – The most important recommendation from this study is to increase the awareness of causes of stress among managing directors. Also, organizations and HR staff need more assistance from specialists who know how to measure and help reduce work stress. Originality/value – The literature on stress interventions at work usually focusses on their psychological effects. This paper explores the organizational perspective and the commitment to implement the interventions in companies.
|Journal series||Employee Relations, ISSN 0142-5455, e-ISSN 1758-7069, (N/A 100 pkt)|
|Publication size in sheets||0.8|
|Keywords in English||Work-related stress, Intervention, Stress management, Health and safety management, Occupational health, Human relations|
|Publication indicators||= 0; : 2018 = 0.894; : 2017 = 1.645 (2) - 2017=1.606 (5)|
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