Translating human capital amid varying intentions to stay: An integrative conceptual review of the immigrant employment attainment process.
基于社会情绪选择理论，提出移民的预期居留时长影响其人力资本转化及就业速度与质量，整合多学科文献构建概念框架，并展示用机器学习高效进行系统性综述的方法。
, which refers to the amount of time an immigrant desires to stay in their host country. We derive this notion from socioemotional selectivity theory to theorize that an immigrant's intended duration of stay influences proximal social goals central to human capital translation, and in turn, employment speed (i.e., how quickly they attain a job) and quality (i.e., the extent to which the job aligns with their knowledge, skills, and abilities). We contribute to scholarship by (a) enhancing the conceptual accessibility and precision of the "immigrant" construct for future organizational psychology and management scholarship; (b) synthesizing and integrating multidisciplinary literature on the labor and professional immigrants' employment attainment process to advance a foundational framework that explains human capital translation and how underemployment may occur for these immigrants; and (c) generating a future research agenda and delineating practical implications for practitioners. We also develop and showcase a novel approach for using supervised machine learning, unsupervised machine learning, and large language models to conduct high quality, multidisciplinary systematic reviews more efficiently. (PsycInfo Database Record (c) 2026 APA, all rights reserved).