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A meta-analysis of work engagement: Relationships with burnout, demands, resources, and consequences.

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The article was published on 2010-01-01 and is currently open access. It has received 850 citations till now. The article focuses on the topics: Employee engagement & Burnout.

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Dissertation

Why do registered nurses want to leave the organisation and profession? Understanding the causes of nursing turnover intentions to help improve the retention of registered nurses

TL;DR: This chapter discusses the author's research into the “politics of language” in the aftermath of the 9/11 attacks, as well as some of the issues raised in the coverage of that period.
Dissertation

Turnover intention and employee engagement : exploring eliciting factors in South African audit firms

TL;DR: In this article, the antecedents of variance in turnover intention and employee engagement among employees employed by audit firms operating in the South African financial services industry were investigated. And the findings shed light on the seriousness of turnover intention, lack of employee engagement and the lack of meaningful work that decreases turnover intentions while increasing employee engagement.
Journal ArticleDOI

The efficacy of work engagement interventions: A meta-analysis of controlled trials

TL;DR: In this article, a systematic search of online databases (e.g., PsychInfo, Eric, MedLine, EconLit) was conducted to assess the efficacy of controlled interventions aimed at improving the work engagement.
Journal ArticleDOI

Understanding the link between work engagement and job satisfaction: Do role stressors underlie this relationship?

TL;DR: Results showed that the association between work engagement and job satisfaction decreased when role stress (particularly ambiguity) increased, underline the need to clarify goals, specify norms about work and member roles in organizations and determine the deleterious effect of hindrance demands even in engaged workers.
Journal ArticleDOI

Expanding the job demands-resources model to classify innovation-predicting working conditions

TL;DR: In this article, the authors applied the job demands-resources (JD-R) model and a new categorization approach to study the relationship between working conditions and innovation, and found that task-related and social job resources positively predicted individual innovation.
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