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This chapter critically analyses the relationship between the field of industrial relations and intersectionality. The authors argue that intersectionality – a focus on the influence of, and interrelationship between, gender, 'race', class and other characteristics – is underdeveloped in industrial relations research and call for greater sensitivity within the field to such structural inequalities, how they intersect and their relevance for the study of the employment relationship. The relationship between intersectionality and industrial relations is ambiguous, undefined and full of tensions, yet full of conceptual, theoretical, methodological and empirical possibilities. The chapter reflects on how intersectionality has 'travelled' through industrial relations by identifying trends in its use in industrial relations scholarship and wider implications for the analysis of inequalities in the industrial relations discipline.
industrial relations, ResearchInstitutes_Networks_Beacons/work_and_equalities_institute; name=Work and Equalities Institute, intersectionality, ResearchInstitutes_Networks_Beacons/03/01; name=Global inequalities
industrial relations, ResearchInstitutes_Networks_Beacons/work_and_equalities_institute; name=Work and Equalities Institute, intersectionality, ResearchInstitutes_Networks_Beacons/03/01; name=Global inequalities
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |