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Critical Psychosocial Risk Treatment for Engineers and Technicians
Mälardalens högskola.
Mälardalens högskola.
KTH, School of Industrial Engineering and Management (ITM), Sustainable production development. (Production Management)ORCID iD: 0000-0002-0662-539X
2019 (English)In: World Academy of Science, Engineering and Technology: An International Journal of Science, Engineering and Technology, ISSN 2010-376X, E-ISSN 2070-3740, Vol. 13, no 8, p. 1070-1083Article in journal, Editorial material (Refereed) Published
Abstract [en]

This study explores how management addresses psychosocial risks in seven teams of engineers and technicians in the midst of the fourth industrial revolution. The sample is from an ongoing quasi-experiment about psychosocial risk management in a manufacturing company in Sweden. Each of the seven teams belongs to one of two clusters: a positive cluster or a negative cluster. The positive cluster reports a significantly positive change in psychosocial risk levels between two time-points and the negative cluster reports a significantly negative change. The data are collected using semi-structured interviews. The results of the computer aided thematic analysis show that there are more differences than similarities when comparing the risk treatment actions taken between the two clusters. Findings show that the managers in the positive cluster use more enabling actions that foster and support formal and informal relationship building. In contrast, managers that use less enabling actions hinder the development of positive group processes and contribute negative changes in psychosocial risk levels. This exploratory study sheds some light on how management can influence significant positive and negative changes in psychosocial risk levels during a risk management process.

Place, publisher, year, edition, pages
2019. Vol. 13, no 8, p. 1070-1083
Keywords [en]
Group process model, risk treatment, risk management, psychosocial.
National Category
Medical and Health Sciences
Research subject
Technology and Health
Identifiers
URN: urn:nbn:se:kth:diva-258908DOI: 10.5281/zenodo.3455591OAI: oai:DiVA.org:kth-258908DiVA, id: diva2:1350344
Note

QC 20191125

Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-11-25Bibliographically approved

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CiteExportLink to record
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  • apa
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