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Do inclusive leaders help to reduce turnover in diverse groups? The moderating role of leader–member exchange in the diversity to turnover relationship.
Abstract
This research examines leader-member exchange (LMX) at the group level as a moderator of the relationships between demographic (i.e., race, age, gender) and tenure diversity and group turnover. Drawing primarily from LMX, social categorization, and expectation states theories, we hypothesized that through the pattern of LMX relationships that they develop with followers, group managers influence inclusion and status differentials within groups such that the positive relationship between diversity and group turnover will be weaker when the group mean on LMX is high or when group differentiation on LMX is low. Results from a sample of supermarket departments (N = 348) yielded general support for the study hypotheses. We also found evidence for a 3-way interaction involving demographic diversity, LMX mean, and LMX differentiation such that the interaction between demographic diversity and LMX differentiation was only significant when LMX mean was high. These findings highlight the important role that leaders play in influencing the relationship between diversity and turnover through the patterns of inclusion that they create in their units.
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“As a result, academics and practitioners alike continue to face the challenge of understanding why certain types of leadership facilitate the performance of diverse teams in some cases and frustrate performance in others (Homan & Greer, 2013;Klein, Knight, Ziegert, Lim, & Saltz, 2011;Nishii & Mayer, 2009;Stewart & Johnson, 2009).”
From Leading diversity: Towards a theory of functional leadership in diverse teams. (2020) · cites this paper as Nishii & Mayer, 2009
In the citing paper
“When leaders demonstrate inclusiveness by acknowledging and appreciating team members’ unique perspectives, they reinforce the value of individual uniqueness.”
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Metadata
- Authors
- Nishii, L. H., & Mayer, D. M.
- Affiliations
- Cornell University (US)
- University of Michigan (US)
- ORCID
- Mayer, David M.
- Venue
- Journal of Applied Psychology
- Published
- 2009
- Volume
- 94
- Issue
- 6
- Pages
- 1412-1426
- ISSN
- 0021-9010 (ISSN-L)
- 1939-1854
- OpenAlex
- W2142896423
- Cited by
- 689
- References
- 122
- Citations by year
- 2026: 54 · 2025: 79 · 2024: 67 · 2023: 56 · 2022: 44 · 2021: 62 · 2020: 54 · 2019: 38 · 2018: 32 · 2017: 44 · 2016: 38 · 2015: 32 · 2014: 20 · 2013: 20 · 2012: 18
- FWCI
- 28.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Psychology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Social Sciences › Gender Studies › Gender Diversity and Inequality
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Keywords
- leader-member exchange, demographic diversity, tenure diversity, inclusive leadership, status differentials, social categorization theory, expectation states theory, LMX differentiation
- MeSH terms
- Workforce, Adolescent, Adult, Female, Humans, Interpersonal Relations, Job Satisfaction, Leadership, Male, Personnel Turnover, Regression Analysis, Workplace, Cultural Diversity, Food Industry, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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