Diversity management for all?

Purpose – The purpose of this paper is to examine if and how diversity management outcomes differ across non-native and native Dutch groups within public sector organizations. The effects of diversity management on the extent employees feel their organizational environment is inclusive and on their attitudes and behaviour, are expected to be dependent on how diversity management is perceived by non-native and native Dutch employees in the organization. Drawing on social exchange theory, the authors expect that employees who positively value diversity management practices will reciprocate through showing attitudes and behaviours that are valued by the organization. Since social exchange refers to a social relationship between the employee and the organization that goes beyond the formal contract alone, the authors analyse affective commitment and organizational citizenship behaviour (OCB) as employee outcomes.
Design/methodology/approach – The authors analyse data from a quantitative survey of a sample of Dutch central government employees and use structural equation modelling (SEM) to analyse the consequences of diversity management across non-native and native Dutch employee groups.
Findings – Results show that diversity management is associated with higher levels of inclusion which in turn boosts affective commitment and OCB of both non-native and native Dutch employees.
Practical implications – The findings show that higher levels of diversity management is associated with an increased inclusive environment, which in turn boosts employees’ affective commitment and OCB. This effect is equal for social-demographic diverse groups. Public managers should therefore implement diversity management that focus on creating an environment that is inclusive for all employees. The positive employee attitudes and behaviour resulting from this can contribute to achieving organizational goals.
Originality/value – This paper combines theory on diversity management outcomes and social exchange to empirically explore and explain group differences by testing these linkages using SEM.