R&D value mapping: A new approach to case study-based evaluation

This study presents an approach to harnessing the power of case studies for research evaluation calledR&D value mapping (RVM). While this method uses case studies in the traditional manner to provide in-depth insights, it also structures case studies through an analytical framework that yields quantitative data and less subjective “lessons learned”. When properly applied, RVM can yield an inventory of outcomes and empirical generalizations regarding the determining variables. A particular advantage of the approach is that it not only provides an indication of the type and amount (though not a single numerical index) of outcome, but also gives insight into the reasons outcomes are achieved. Thus, RVM is useful for policy management strategies seeking to replicate success. The specific steps associated with the RVM method are illustrated through studies that have applied the technique. The authors gratefully acknowledge support from of the Department of Energy, Basic Energy Sciences and previous contracts from Sandia National Laboratories and the New York State Energy Research & Development Authority. A number of persons have made useful comments on the RVM method. We are particularly grateful to David Roessner, Juan Rogers, Gretchen Jordan and Iran Thomas.