Using Boolean operators for modeling complex logical dependencies in matrices

Matthias R. Gürtler, Udo Lindemann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationReducing Risk in Innovation - Proceedings of the 15th International Dependency and Structure Modelling Conference, DSM 2013
Pages117-123
Number of pages7
StatePublished - 2013
Event15th International Dependency and Structure Modelling Conference, DSM 2013 - Melbourne, VIC, Australia
Duration: 29 Aug 201330 Aug 2013

Publication series

NameReducing Risk in Innovation - Proceedings of the 15th International Dependency and Structure Modelling Conference, DSM 2013

Conference

Conference15th International Dependency and Structure Modelling Conference, DSM 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period29/08/1330/08/13

Keywords

  • Boolean operators
  • DSM
  • MDM
  • Open Innovation

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