Innovation Climate Profiles

Abstract

Abstract: While person-centered analyses can provide information on important configural effects in the context of multi-dimensional constructs, we have found little research taking this approach with innovation climate. Specifically, we found no research applying this approach to results from the Team Climate Inventory, the most frequently used questionnaire on innovation climate. Therefore, we explore the presence of latent profiles in responses to the Team Climate Inventory and extend this exploration to associations between the profiles and self-reported innovative behaviors. Latent profile analyses conducted on two samples of 435 and 461 participants indicated the presence of three innovation climate profiles respectively indicating low, medium, and high scores on innovation climate dimensions. Innovative behaviors covaried with profiles accordingly. The multi-group analysis supported the similarity between latent profile solutions across samples. We discuss the apparent lack of potential for configural effects and invite researchers who could be interested in interactive effects between climate dimensions to verify whether the configurations implied by their interactions are actually present in the data.