Intersectionality in the Workplace: A Dynamic Ecological Framework

This paper proposes Dynamic Intersectional Ecology (DIE), an integrative framework for analysing workplace inequality as the evolving interaction of individual identities, organisational arrangements, social structures and algorithmic systems. It develops seven proposed theoretical lenses—Temporal Intersectionality Theory (TIT), Organizational Intersectionality Framework (OIF), Algorithmic Intersectionality Theory (AIT), Intersectional Capital Theory (ICT), Network Intersectionality Theory (NIT), Positive Intersectionality Framework (PIF), and Intersectional Resilience Theory (IRT)—drawing upon established intersectionality, organisational and network scholarship. A descriptive re-analysis of published 2024 U.S. median weekly earnings by race/ethnicity and gender illustrates substantial group-level differences and the limits of additive benchmarks. The numerical evidence does not establish causal discrimination, individual-level interaction effects or statistical significance. Eight figures combine a conceptual synthesis, three transparent descriptive-data displays and four explicitly illustrative or simulated theoretical visualisations. The paper outlines testable propositions, measurement considerations and organisational implications for more context-sensitive approaches to inclusion.