Relational demography in organizations: an assessment of the explored and overlooked
Baltic Journal of Management
; 17(2):174-191, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1758986
ABSTRACT
Purpose>The study aims to present an in-depth review of previous research on relational demography (individual–team dissimilarity) over the past 30 years. In doing so, the authors highlighted the main theoretical underpinnings, teased out the common methodological approaches and identified the major mediating processes and contingency factors that influence relational demography's effect on individual outcomes in teams.Design/methodology/approach>The authors searched and examined eight databases (ABI/INFORM Complete, ProQuest, EBSCO, Web of Science, JSTOR, PsycARTICLES, PsycINFO and Science Direct) and distilled 106 studies from 34 journals. The authors synthesized and analyzed this body of work to identify extant patterns and themes in relational demography.Findings>The findings reveal that the majority of theories used are categorized into three segments. The antecedents used are mainly surface- and deep-level variables, while the outcomes are classified into personal- and work-related constructs. For research testing, Euclidean distance and Blau's index are primarily utilized as heterogeneity measures, while various forms of regression are used as the analytical tool for hypotheses testing.Originality/value>Extant literature reviews on relational demography are scant. This study provides an extensive synthesis and analysis of the studies in the area over the past 30 years and offers an agenda that can motivate future research.
Business And Economics--Management; Relational demography; Diversity; Teams; Literature review; Research methodology; Databases; Mathematical analysis; Trends; Socialization; Social identity; Employees; Demography; Workforce; Workplace diversity; Literature reviews; Contingency; Heterogeneity; Euclidean geometry; COVID-19
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Baltic Journal of Management
Year:
2022
Document Type:
Article
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