Properties of Cross-Impact Balance Analysis

Abstract

CIB matrices are N x N hypermatrices, the elements of which are m x n matrices. They are used in Cross-Impact Balance Analysis, a concept applied in social sciences, management sciences, scenario analysis and technology foresight to identify plausible configurations of qualitatively defined impact networks. Cross-Impact Balance Analysis (CIB) offers an opportunity for qualitative systems analysis without complex mathematics. Although CIB doesn't confront its user with too much mathematics, the background of the method and its algorithm can be scrutinized by mathematical means, thus revealing an extensive set of useful properties which are described and proved in this article. Among them are four laws of invariance, a treatise on several special cases of CIB matrices, and the proof that CIB analysis is equivalent to a universal computer (a Turing machine).