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The purpose of this paper is to investigate the interactive effect of collective personality fit and its diversity on relationship conflict in a team context.

Data were collected from 1,265 employees and their leaders in 110 work teams in a Korean manufacturing company.

The results show that the two-way interaction between collective personality fit and its dispersion affects relationship conflict in teams. The effect of collective fit on relationship conflict was found to be weaker when the dispersion of collective fit is low than when it is high. This study reports that a high level of collective fit dispersion may help resolve relationship conflict in certain conditions, such as when the level of collective fit is high.

This paper implies that the diverse perception of fit does not always hamper intragroup consonance, and relationship conflict can be reduced as long as the overall level of collective fit is high. The diverse or heterogeneous personalities of team members contribute unique attributes of each member to the success of the team because some members of a heterogeneous team may play the role of filling the gap left by others.

This study argues that collective fit is a new construct, not a simple aggregation of individual fit traits, and the pattern of relationships at the individual level is not replicated at the group level, either conceptually or empirically.

This paper investigates the interaction effects of gender diversity and diversity beliefs on group-level personality fit (“collective personality fit”) and group organizational citizenship behavior (GOCB). It seeks to provide a sufficient understanding of the under-researched area, such as how group composition impacts group behavioral outcomes.

Data were collected from 453 employees and their leaders in 63 teams of Korean private sector firms using a moderated-mediation model.

This study found that high diversity beliefs can weaken the negative effects of gender diversity on collective personality fit and further enhance GOCB. The results confirm the moderated-mediation effect of diversity beliefs in the relationship between gender diversity and GOCB.

Management should realize that the negative effect of workforce diversity on GOCB can be reduced by boosting collective personality fit in the team. In this process, enhancing diversity beliefs may relieve the adverse effects on GOCB caused by workgroup gender differences.

This study develops a group-level model proposing that the interaction effects of gender diversity and high diversity beliefs enable a high level of collective personality fit, enhancing GOCB. It attempts to investigate the effects of gender diversity at the group level under boundary conditions.

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.