Revealed Causal Mapping as an Evocative Method for Information Systems Research

Information Systems (IS) is a complex discipline constantly in need of additional operationalized theories and constructs. The need exists for methodologies that are qualitative and interpretive but result in theories and constructs that can be subjected to empirical testing. This paper proposes that Revealed Causal Mapping (RCM) is a methodology that meets this need. This paper uses the domain of IS expertise to demonstrate the potential role of RCMs in IS research. Revealed causal maps fall in the category of evocative research methods. These methods are used where general theoretical frameworks are available but operationalization of concepts and specification of linkages among the concepts are still not available. While qualitative methods are especially useful in exploratory areas such as IS expertise, they cannot be used to test emergent theory. The theory must be transformed into testable hypotheses, and then operationalized into measurable constructs. Once this transformation is complete, the theory can be tested using established quantitative methods. Revealed causal maps can facilitate the transformation from qualitative inquiry to quantitative inquiry as an evocative research method.