Testing multidimensional models of person-group fit

This study seeks to investigate the multidimensionality person-group (PG) fit. It first aims to examine values-based, personality-based, and KSA-based fit as distinct PG fit dimensions. It then also aims to examine fit as an aggregate construct (each dimension combines to form a latent PG fit construct), and as a superordinate construct (an overarching assessment of compatibility drives the individual fit dimensions). It also aims to propose that the distinct dimensions or the overall perception predict commitment to team, employee voice, and knowledge sharing, resulting in a final outcome of employee task performance. Data were collected using longitudinal survey methodology from three different sources (793 employees, their supervisors and the Human Resources department) in a manufacturing firm in Korea. The various models were evaluated using structural equation modeling. The distinct dimensions model, in which values-based fit predicted commitment to the team, personality-based fit predicted voice behaviors, and KSA-based fit predicted knowledge sharing, was mostly supported. Each of these intermediary factors predicted supervisors' ratings of individual task performance. Although each dimension had unique impact on the outcomes, results suggested that a superordinate PG construct might be driving the more specific fit assessments. The aggregate model was not supported. This study is the first to show how different dimensions of PG fit may differentially influence affect and behavior, to predict task performance. It also shows the first evidence for PG fit as a superordinate multidimensional construct. Results provide a basis for new knowledge regarding the multi-faceted relationship between fit perceptions and outcomes.