A conceptual framework for interdisciplinary decision support project success

A quantitative and qualitative analysis review was used to create a conceptual framework that identifies the differences and similarities between management information systems, decision support systems, and the emerging interdisciplinary areas of big data, computational social science, and data science. The framework groups this information by project and technology critical success factors and clarifies definitions with explanations and examples. It identifies considerations, risks, and issues relevant to project management. These results close a gap in the literature by providing a framework for the terminology and context needed to plan interdisciplinary decision support projects.