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Book of Proceedings 9th Conference of the European Academy of Occupational Health Psychology, 29 maart 2010
No abstract is provided for this article.
Purpose – The purpose of this paper is to integrate leadership into the job demands-resources (JD-R) model. Based on self-determination theory, it was argued that engaging leaders who inspire, strengthen, and connect their followers would reduce employee’s levels of burnout and increase their levels of work engagement. Design/methodology/approach – An online survey was conducted among a representative sample of the Dutch workforce ( n =1,213) and the research model was tested using structural equation modeling. Findings – It appeared that leadership only had an indirect effect on burnout and engagement – via job demands and job resources – but not a direct effect. Moreover, leadership also had a direct relationship with organizational outcomes such as employability, performance, and commitment. Research limitations/implications – The study used a cross-sectional design and all variables were based on self-reports. Hence, results should be replicated in a longitudinal study and using more objective measures (e.g. for work performance). Practical implications – Since engaged leaders, who inspire, strengthen, and connect their followers, provide a work context in which employees thrive, organizations are well advised to promote engaging leadership. Social implications – Leadership seems to be a crucial factor which has an indirect impact – via job demands and job resources – on employee well-being. Originality/value – The study demonstrates that engaging leadership can be integrated into the JD-R framework.
List of DRA (http://trace.ddbj.nig.ac.jp/dra/index_e.html) accession numbers of the FANTOM5 samples, sequences and genomic coordinations. Files are in tab-delimited format, which includes * Library ID * FFID * BioSamples accession number * DRA experiment accession number * DRA run accession numbers * DRA analysis accession number for genomic coordination (BAM file) * DRA analysis accession number for CTSS (BED file) * Experiment method (CAGE/RNA-Seq/sRNA-Seq)
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The Wnt pathway is central to a host of developmental and disease-related processes. The remarkable conservation of this intercellular signaling cascade throughout metazoan lineages indicates that it coevolved with multicellularity to regulate the generation and spatial arrangement of distinct cell types. By regulating cell fate specification, mitotic activity, and cell polarity, Wnt signaling orchestrates development and tissue homeostasis, and its dysregulation is implicated in developmental defects, cancer, and degenerative disorders. We review advances in our understanding of this key pathway, from Wnt protein production and secretion to relay of the signal in the cytoplasm of the receiving cell. We discuss the evolutionary history of this pathway as well as endogenous and synthetic modulators of its activity. Finally, we highlight remaining gaps in our knowledge of Wnt signal transduction and avenues for future research.
This study aims to: (1) examine the stable and changing components across time of job resources, job demands, work engagement, and burnout, and (2) investigate the relationships – as specified by the Job Demands-Resources model – between job characteristics (demands and resources) and employee well-being (burnout and engagement) when controlled for their stable components. These two issues were addressed using longitudinal data from 3 waves with a 1-year time interval (N=1038). Results from structural equation modeling indicate that the stable component accounts for 48–69% (waves 1 to 3) of the total variance in job resources, whereas for job demands these percentages range from 30 to 35% (waves 1 to 3). Moreover, it appears that 54–66% (waves 1 to 3) of the variance in work engagement and 40–45% (waves 1 to 3) of the variance in burnout are accounted for by a stable component. Hence, compared to the negative aspects of the working environment (i.e., job demands and burnout), positive aspects (i.e., job resources and work engagement) seem to be more stable. We also detected significant relationships between the changing components of job resources and job demands on the one hand and work engagement and burnout on the other. These findings are consistent with the Job Demands-Resources model.
No abstract is provided for this article.
No abstract is provided for this article.