A Study on Constructing Diversity, Equity, and Inclusion Indicators From the Perspective of Organizational Justice
Yin‐Che Chen & Yu‐Yun Chien
Abstract
Diversity, equity, and inclusion has become a central concern for organizations seeking fair and sustainable workforce governance, yet comparable and practice‐ready measurement remains uneven across contexts. Grounded in organizational justice theory, this study develops a structured DEI indicator system and prioritizes indicators using expert consensus and fuzzy multicriteria weighting. We integrated organizational justice scholarship with internationally recognized disclosure frameworks and Taiwan's labor‐related regulatory context to generate an initial indicator pool. A modified Delphi study with 29 human resource practitioners from Taiwan's high‐tech industry was conducted to refine and validate the indicators, followed by the fuzzy analytic hierarchy process to derive indicator weights. The resulting framework specifies justice‐informed DEI dimensions and provides empirically derived priorities that support organizational diagnosis, resource allocation, and policy design. By linking a justice‐based conceptual foundation to a transparent, replicable weighting procedure and actionable recommendations, this study offers an evaluation model that can be adapted for DEI governance across industries while remaining sensitive to local institutional settings.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.