The authors used theoretical models to organize the diverse unemployment literature, and meta-analytic techniques were used to examine the impact of unemployment on worker well-being across 104 empirical studies with 437 effect sizes. Unemployed individuals had lower psychological and physical well-being than did their employed counterparts. Unemployment duration and sample type (school leaver vs. mature unemployed) moderated the relationship between mental health and unemployment, but the current unemployment rate and the amount of unemployment benefits did not. Within unemployed samples, work-role centrality, coping resources (personal, social, financial, and time structure), cognitive appraisals, and coping strategies displayed stronger relationships with mental health than did human capital or demographic variables. The authors identify gaps in the literature and propose directions for future unemployment research.
While much organizational socialization occurs through interpersonal interactions, evidence regarding how these processes unfold over time has not been forthcoming. Results from a 14-wave longitudinal study with a sample of 264 organizational newcomers show that support of newcomers from coworkers and supervisors declines within the first 90 days of employment. Early support and undermining had more significant relationships with work outcomes assessed after 90 days of employment than did increases or decreases in support and undermining over that time period, suggesting early support and undermining may lay a foundation for later work outcomes. Proactive behavior partially mediated the relationship between support and more distal work outcomes, including withdrawal behaviors. Supervisor undermining was uniquely associated with higher turnover (exit) hazard.
Dynamic predictors of job-search intensity over time are examined in a large 10-wave longitudinal study of unemployed individuals. Two sets of variables relevant to the examination of job search from a dynamic, self-regulatory perspective--core self-evaluations (T. A. Judge, A. Erez, & J. E. Bono, 1998) and the theory of planned behavior (I. Ajzen, 1991)--were used to guide our examination. Results suggest core self-evaluation is related to average levels of job-search intensity over time. Job-search intentions mediated the relationship between subjective norms and job-search self-efficacy in the prediction of job-search intensity in the following 2 weeks. Both Time 1 and cumulative job-search intensity predict reemployment. This repeated-measures study contributes to research on job search that has been primarily cross-sectional or included few time waves.
The authors propose a multidisciplinary model of the predictors of reemployment and test its predictive validity for explaining reemployment success. Predictor variables from the fields of economics, sociology, and psychology are incorporated into the model. Reemployment success is conceptualized as a construct consisting of unemployment insurance exhaustion and reemployment speed, and for reemployed persons, job improvement, job-organization fit, and intention to leave the new job. Direct, mediated, and moderated relationships were hypothesized and tested, clarifying the role of the variables in the reemployment process and outcome. The authors' proposal and examination of a multidisciplinary model of reemployment success contributes to a literature that has not tended to adequately cross disciplinary boundaries.
for their helpful comments on earlier drafts of this paper. We also thank Brent Scott and three anonymous reviewers for their helpful guidance and suggestions in the review process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.