Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 237

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Workplace contextual supports for LGBT employees: A review, meta‐analysis, and agenda for future research

Webster, Jennica R., Adams, Gary A., Maranto, Cheryl L., Sawyer, Katina, Thoroughgood, Christian·2018·Human Resource Management

Abstract

The past decade has witnessed a rise in the visibility of the lesbian, gay, bisexual, and transgender (LGBT) community. This has resulted in some organizational researchers focusing their attention on workplace issues facing LGBT employees. While empirical research has been appropriately focused on examining the impact of workplace factors on the work lives of LGBT individuals, no research has examined these empirical relationships cumulatively. The purpose of this study was to conduct a comprehensive review and meta‐analysis of the outcomes associated with three workplace contextual supports (formal LGBT policies and practices, LGBT‐supportive climate, and supportive workplace relationships) and to compare the relative influence of these workplace supports on outcomes. Outcomes were grouped into four categories: (a) work attitudes, (b) psychological strain, (c) disclosure, and (d) perceived discrimination. Results show that supportive workplace relationships were more strongly related to work attitudes and strain, whereas LGBT supportive climate was more strongly related to disclosure and perceived discrimination compared to the other supports. Our findings also revealed a number of insights concerning the measurement, research design, and sample characteristics of the studies in the present review. Based on these results, we offer an agenda for future research.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/hrm.21873

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 13 references

Cited by

Metadata

Authors
Webster, J. R., Adams, G. A., Maranto, C. L., Sawyer, K., & Thoroughgood, C.
Venue
Human Resource Management
Publisher
Wiley
Published
2017-11-10
Volume
57
Issue
1
Pages
193-210
ISSN
  • 0090-4848 (ISSN-L)
  • 1099-050X
OpenAlex
W2767583402
Cited by
237
References
13
FWCI
11.65
Type
journal article
Language
en
Open access
closed

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 ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.