Abstract

Systemics is a discipline which has transdisciplinary characteristics; it shares its foundations with other scientific disciplines. This paper argues that the principles and methodologies of Systemics enrichs Information Systems Engineering (ISE). Thus ISE could be consider as a sub-domain of Systemics. The most relevant ISE’s objetive is to obtain succesful information systems (IS). Hence, it tries to improve analysis/design techniques. ISE’s core is found in the models -or abstract representations of reality- and systemic modellization belongs to ISE’s methodologies set. This modellization needs to be supported by robust theoretical foundations. Based on that argument, this paper presents: Bunge’s system models which are widely used to improve IS analysis/design modelling languages; and Bunge’s social ontology which studies the social aspects of IS. These are two examples of how system models contributes to the design of IS