HOW POLITICAL CONTEXT AFFECTS IMMIGRANT NEWCOMERS' SOCIAL UNDERMINING DYNAMICS AND WELL-BEING AT WORK

成果类型:
Article
署名作者:
Korman, Benjamin a.; Reinwald, Max; Kunze, Florian; Koos, Sebastian
署名单位:
University of Konstanz; Leibniz Association; Leibniz Institut fur Bildungsverlaufe (Lifbi); University of Mannheim; University of Konstanz
刊物名称:
ACADEMY OF MANAGEMENT JOURNAL
ISSN/ISSBN:
0001-4273
DOI:
10.5465/amj.2023.0303
发表日期:
2025
页码:
540-566
关键词:
DEMOGRAPHIC DISSIMILARITY RELATIONAL DEMOGRAPHY STATUS-ENHANCEMENT job-satisfaction WORKPLACE HEALTH antecedents experiences EMPLOYMENT mobility
摘要:
Although the successful labor market integration of immigrants can promote their prosperity and that of their organization, immigrant newcomers often face a difficult socialization process that can jeopardize their well-being. Considering the rising political polarization in many societies, as well as the dynamic nature of the newcomer socialization process, we develop a dynamic and multilevel model of immigrant employees' socialization experiences over time, which is shaped by far-right voter support in the region where their organization is located. Building on and extending the relational demography literature, we argue that immigrants' trajectories of social undermining- whether increasing or decreasing-are strongly influenced by levels of regional far-right support. Immigrants' social undermining trajectories signal to them the feasibility of achieving a high-status identity at work, thereby impacting their well-being. We find support for our model in a unique dataset matching apprentices in Germany (tracked from day one of their apprenticeship over 13 weeks) with German election data. Specifically, we find that immigrants perceive increasing (decreasing) social undermining by their coworkers over time when employed in a region with higher (lower) far-right political support. Perceptions of increasing (decreasing) negative treatment, in turn, negatively (positively) affect employees' emotional exhaustion and job satisfaction.
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