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Cited by 417

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Is Diversity Management Sufficient? Organizational Inclusion to Further Performance

Sabharwal, Meghna·2014·Public Personnel Management

Abstract

This study focuses on the concept of organizational inclusion, which goes beyond diversity management, the dominant paradigm in the field of public administration. Although several studies in public administration mention the importance of inclusion, none of these studies have empirically tested its association with performance beyond diversity management. Data for this study comes from a survey conducted among public managers in Texas agencies. The study finds that diversity management alone is insufficient for improving workplace performance. What is required instead is an approach that promotes greater inclusion of employees in ways that takes their views into account and promotes self-esteem. The results show that productive workplaces exist when employees are encouraged to express their opinions, and their input is sought before making important organizational decisions. This requires supportive leadership and empowering employees with information and resources that will help them make important decisions about their jobs.

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Metadata

Authors
Sabharwal, M.
Venue
Public Personnel Management
Published
2014-02-19
Volume
43
Issue
2
Pages
197-217
ISSN
  • 0091-0260 (ISSN-L)
  • 1945-7421
OpenAlex
W2142319310
Cited by
417
References
89
FWCI
34.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Is Diversity Management Sufficient? Organizational Inclusion to Further Performance. https://app.cochat.ai/papers/10.1177/0091026014522202
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Sabharwal, M. (2014). Is Diversity Management Sufficient? Organizational Inclusion to Further Performance. Public Personnel Management. https://doi.org/10.1177/0091026014522202

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.