Discovery and Representation of Causal Relationships in MIS Research: A Methodological Framework

The lack of theories and methodological weakness have been pointed out as two distinct but related problems in empirical management information systems (MIS) research. Reinforcing the existing belief that too much attention has been devoted to "what" as opposed to ’~vhy" or ’~vhen" relationships exist, this paper focuses on a subset of model building and methodology issues involving the systematic discovery and representation of causal relationships. Our analysis of the existing empirical MIS literature reveals the need to build richer causal models, to increase the flexibility of model representation, to integrate the isolated worlds of pure latent and pure manifested variables, and to provide a tighter linkage between the exploratory and confirmatory research phases.