Affiliation:
1. Department of Psychology, University of Groningen , Groningen , The Netherlands
Abstract
Abstract
Work design plays an important role in workers’ job-related well-being, but not every employee responds to work design in the same way. Given trends toward longer working lives and higher age diversity in the workforce, worker age is an important factor to consider. However, knowledge about the interplay between worker age and work design is limited, especially when considering the multitude of job characteristics that people experience at the same time. Integrating the work design and lifespan/career development literatures and adopting a person-centered approach, we investigated how worker age affects membership in work design profiles and the relationship between work design profiles and occupational well-being. Using two independent samples (N = 989; 980), we conducted latent profile analysis to group workers into work design profiles based on 6 age-relevant job characteristics (autonomy, information-processing, workload, social support, emotional demands, and social conflicts). We identified 3 profiles and linked them to well-being: motivating (most favorable), moderately stimulating, and socially taxing (least favorable). Older workers were more likely to be in, and responded better to motivating work design profiles, and less likely to be in, and responded worse to socially taxing profiles. Meanwhile, younger workers seemed more tolerant of socially taxing work design profiles than older workers. Most age-contingent effects were robust after adding organizational tenure as a covariate. Findings qualify lifespan development theories and shed light on workers’ nuanced responses to work design profiles.
Publisher
Oxford University Press (OUP)
Subject
Life-span and Life-course Studies,Organizational Behavior and Human Resource Management,Geriatrics and Gerontology,Economics, Econometrics and Finance (miscellaneous),Sociology and Political Science,Industrial relations
Reference80 articles.
1. The measurement and antecedents of affective, continuance and normative commitment to the organization;Allen;Journal of Occupational Psychology,1990
2. Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary second model;Asparouhov;Mplus Web Notes,2014
3. Robustness of stepwise latent class modeling with continuous distal outcomes;Bakk;Structural Equation Modeling: A Multidisciplinary Journal,2016
4. Job resources buffer the impact of job demands on burnout;Bakker;Journal of Occupational Health Psychology,2005
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