Enterprise modelling and information systems work often relies heavily on graphical models expressed in visual languages to concisely capture, rigorously model and effectively convey meaning between stakeholders. Recent research has highlighted problems with the effectiveness of popular modelling notations. A physics of notations (PoN) was proposed to address these issues. Application of the PoN has not proven routinely successful. Models are often constructed by experts, but must be well received by non-experts to achieve their goals. This research contends that recent information from the fields of cognition, visualisation and graphic design can be exploited to enhance the return on modelling effort (ROME) and the value of models. Improved meta models, methods for visual language design and enhanced tools can support the definition and use of effective visual languages and the application of the PoN and derivatives.
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?Practice of Enterprise Modelling (PoEM), Doctoral Consortium Papers
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