A semiotic framework for evaluating the quality of conceptual models was proposed by (Lindland OI, Sindre G and Sølvberg A (1994) Understanding Quality in Conceptual Modelling, IEEE Software 11(2), 41-49) and has later been extended in several works. While the extensions have fixed some of the limitations of the initial framework, other limitations remain. In particular, the framework is too static in its view upon semantic quality, mainly considering models, not modelling activities, and comparing these models to a static domain rather than seeing the model as a facilitator for changing the domain. Also, the framework's definition of pragmatic quality is quite narrow, focusing on understanding, in line with the semiotics of Morris, while newer research in linguistics and semiotics has focused beyond mere understanding, on how the model is used and impact its interpreters. The need for a more dynamic view in the semiotic quality framework is particularly evident when considering process models, which themselves often prescribe or even enact actions in the problem domain, hence a change to the model may also change the problem domain directly. This paper discusses the quality framework in relation to active process models and suggests a revised framework based on this.

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This paper presents a novel approach to the development and operation of dynamic networked organization. The approach is based on the idea of using interactive models. Interactive models are visual models of enterprise aspects that can be viewed, traversed, analyzed, simulated, adapted and executed by industrial users as part of their work. The approach was developed in the EXTERNAL-project, where experiences from three case studies were used as a basis for validation and further enhancement of the approach in follow-up projects. The main innovative contributions include an environment to support concurrent modelling, meta-modelling, management and performance of work, integrated support for planned and emergent processes, and customisable model-and process-driven integration.