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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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Why does competitive psychological climate foster or hamper career success? The role of challenge and hindrance pathways and leader-member-exchange

TL;DR: In this article, the authors integrated research on competitive psychological climate (CPC) and successful career development within transactional stress theory and the job-demands resources model, where high versus low leader-member exchange relationships are assumed to moderate the relationships between CPC and work engagement and burnout.
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Unselfish leaders? Understanding the role of altruistic leadership and organizational learning on happiness at work (HAW)

TL;DR: In this paper, the authors examined to what extent altruistic leadership (AL) contribute to happiness at work (HAW) and analyzed the mediating role of those conditions that facilitate learning in the relationship between AL and HAW.
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HRD Climate, Occupational Self-Efficacy and Work Engagement: A Study from India

TL;DR: In this article, a model was proposed and tested with occupational self-efficacy as the intervening variable between human resource development climate and work engagement, and results of moderated regression analysis provided support for moderating effects of selfefficacy, with the relationship between climate and engagement being stronger for low selfefficacious individuals as...
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Ensuring the ongoing engagement of second-stage teachers

TL;DR: The authors conducted an exploratory interview study of second-stage teachers with 4-10 years of experience and found that the decision about whether and how to engage in teaching was their own to make.
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Meaningful Work, Job Resources, and Employee Engagement

TL;DR: In this article, meaningful work is proposed as a critical psychological state within the job demands-resources (JD-R) model that can therefore explain the relationship between job resources and employee engagement Survey data collected from 1415 employees working in a range of organizations, across a number of industries, were analyzed with confirmatory factor analysis (CFA) and structural equation modelling (SEM).
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