The Job Content Questionnaire 2.0: A Tool for Measurement of the Psychosocial Work Environment and Sustainable Work Globally

Dear Colleagues,

The Job Content Questionnaire (JCQ1) has been a tool for the measurement of the psychosocial work environment based on the demand/control (D/C) model for over 35 years. However, it is a paradigm in need of a major update to fit a changed world beset by destructive-scale economic resource imbalances and a critical need for a climate-friendly (material resource-light) sustainable future. The psychosocially focused, multi-level JCQ2.0 measures scales which are consistent with such a major revision of the JCQ1 and its traditional theory to encompass, task level, organization level, and relevant external-to-work level working conditions. JCQ2 scales also allow tracking of major societal change toward a climate-friendly, non-physical-material base economy focused on skill and wellbeing in an internationally comparable manner. This Special Issue aims to provide a coherent set of selected contributions on the theoretical, explanatory, and analytic frameworks for the JCQ2, along with several empirical international studies that develop scales and test the D/C/S structure across task, organization, and external-to-work levels, and test hypotheses relating to associations with health and wellbeing outcomes at the task and organization levels.

Potential topics include but are not limited to:

• Multi-level demand–control–support (D/C/S);
• Associationalist demand control model theory;
• Psychometric assessments of measurement of the psychosocial work environment and sustainable work;
• JCQ2 scales at task, organization, and external levels;
• Empirical tests of the JCQ2 scales and model structure to measure the psychosocial work environment;
• Empirical tests of the JCQ2 scales and model structure to measure sustainable work;
• Empirical tests of the associations between the psychosocial work environment with health and wellbeing outcomes;
• Possible approaches to use the JCQ2 to support sustainable societal evolution assessment.

Prof. Dr. Sean Collins
Guest Editor

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