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Simona Gilboa

Researcher at Tel Aviv University

Publications -  7
Citations -  1217

Simona Gilboa is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Job performance & Role conflict. The author has an hindex of 5, co-authored 7 publications receiving 1077 citations.

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A meta-analysis of work demand stressors and job performance: examining main and moderating effects

TL;DR: In this paper, the authors investigated the relationship of seven work-related stressors with job performance: role ambiguity, role conflict, role overload, job insecurity, work-family conflict, environmental uncertainty, and situational constraints.
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The Mediating Effects of Job Satisfaction and Propensity to Leave on Role Stress-Job Performance Relationships: Combining Meta-Analysis and Structural Equation Modeling

TL;DR: This article used structural equation modeling (SEM) to compare the fit of several alternative role stress → job satisfaction and propensity to leave → job performance models to a meta-analytic data set.
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Gender, age and tenure as moderators of work-related stressors' relationships with job performance: A meta-analysis

TL;DR: This paper investigated the extent to which three socio-demographic variables, employee gender, age, and tenure, moderated the meta-correlations of role conflict and role ambiguity with job performance.

A Meta-Analysis of Work Demand Stressors and Job Performance

TL;DR: In this article, the authors investigated the relationship of seven work-related stressors with job performance: role ambiguity, role conflict, role overload, job insecurity, work-family conflict, environmental uncertainty, and situational constraints.
Journal ArticleDOI

A meta-analysis of stress and performance at work: moderating effects of gender, age, and tenure.

TL;DR: The authors provided a quantitative integration of 191 empirical samples (N=39,281 employees) that have investigated the relationship between various stresses and performance at work, and augmented these empirical samples with work-related data.