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How does diversity affect public organizational performance? A meta‐analysis
Author(s) -
Ding Fangda,
Riccucci Norma M.
Publication year - 2023
Publication title -
public administration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.313
H-Index - 93
eISSN - 1467-9299
pISSN - 0033-3298
DOI - 10.1111/padm.12885
Subject(s) - diversity (politics) , affect (linguistics) , categorization , meta analysis , psychology , organizational performance , empirical research , social psychology , public sector , knowledge management , political science , computer science , statistics , mathematics , artificial intelligence , medicine , communication , law
Research in public administration examining the effects of diversity on public organizational performance has produced mixed results. However, the lack of a comprehensive theoretical framework has failed to provide an explanation for the mixed diversity effects. This study introduces a systematic analytical model, Categorization‐Elaboration Model (CEM), to help identify the contextual constructs which can promote the positive effects of diversity on public organizational performance. A meta‐analysis is conducted on 37 quantitative studies to test the empirical validity of a CEM constructed theoretical model with 253 effect sizes which will promote a better understanding of the circumstances or contexts that lead to the benefits of diversity within public sector organizations. The empirical results of meta‐regression point to the appropriate range of contextual factors which can alleviate the potential negative effects of diversity and promote its overall positive effects.