Using Boolean Operators for modeling complex logical dependencies in matrices

The success of Open Innovation mainly depends on the right choice of external partners and the right way to integrate them into the company's innovation process. Situative Open Innovation supports companies by analyzing their specific situation, suitable external actors and deriving efficient Open Innovation methods. Due to various inter-dependencies between the key-criteria for determining the situation, actors and methods an appropriate notation is necessary to depict the inherent logical connections. This paper presents a matrix-based approach using Boolean operators to model these inter-dependencies. The approach combines a numerical encoding of Boolean operator types and a path domain for depicting distinct dependencies.