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Yves R.F. Guillaume
Researcher at Aston University
Publications - 28
Citations - 2157
Yves R.F. Guillaume is an academic researcher from Aston University. The author has contributed to research in topics: Diversity (business) & Transformational leadership. The author has an hindex of 14, co-authored 26 publications receiving 1684 citations. Previous affiliations of Yves R.F. Guillaume include University of Liverpool.
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Leader‐Member Exchange (LMX) and performance:a meta‐analytic review
TL;DR: A meta-analysis that examines the relationship between leader-member exchange (LMX) relationship quality and a multidimensional model of work performance (task, citizenship, and counterproductive performance) is presented in this article.
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The effectiveness of workplace coaching: A meta-analysis of learning and performance outcomes from coaching
TL;DR: In this article, the authors present a meta-analysis synthesizing the existing research on the effectiveness of workplace coaching provided by internal or external coaches and exclude cases of manager-subordinate and peer coaching.
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Group diversity and group identification: The moderating role of diversity beliefs
TL;DR: The authors found evidence for the expected moderated mediation model with indirect effects of subjective diversity on elaboration and the desire to stay, mediated through group identification, moderated by diversity beliefs.
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Harnessing demographic differences in organizations: What moderates the effects of workplace diversity?
TL;DR: Using the Categorization‐Elaboration Model as a theoretical lens, variables moderating the effects of workplace diversity on social integration, performance, and well‐being outcomes are reviewed, focusing on factors that organizations and managers have control over.
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Surface- and deep-level dissimilarity effects on social integration and individual effectiveness related outcomes in work groups: a meta-analytic integration
TL;DR: In this paper, the authors developed a contingency framework and tested it using meta-analytic and structural equation modeling techniques to investigate different effects of surface-level and deep-level dissimilarity on social integration and individual effectiveness related outcomes.