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Cited by 470

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Engaging leadership in the job demands-resources model

Open access
Schaufeli, Wilmar B.·2015·Career Development International

Abstract

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.

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Registry

Crossref · 10.1108/cdi-02-2015-0025

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Metadata

Authors
Schaufeli, W. B.
Venue
Career Development International
Publisher
Emerald
Published
2015-09-14
Volume
20
Issue
5
Pages
446-463
ISSN
  • 1362-0436 (ISSN-L)
  • 1758-6003
OpenAlex
W1844365549
Cited by
470
References
10
FWCI
30.26
Type
journal article
Language
en
Open access
green

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.