Individual differences and conceptual modeling task performance: Examining the effects of cognitive style, self-efficacy, and application domain knowledge

Abstract

In information systems development, conceptual modeling, which includes both data modeling and process modeling, is the most effective technique for depicting and sharing an understanding of the functional capabilities and limitations of the product/ system/ service design. The quality of conceptual models depends on a number of factors. This research focused on attributes of the modeler and specifically examined how an individual's cognitive style, task self-efficacy, and knowledge of application domain impact the quality of two types of conceptual models: data models and process models. Results of the research revealed that an individual's cognitive style may relate to conceptual model quality. In addition, the research showed that self-efficacy may be a determinant of model quality. Application domain knowledge did not appear to play a role in quality of models produced by the participants in this study. © 2011 Springer-Verlag.