A wide-spectrum approach to modelling and analysis of organisation for machine-assisted decision-making

This paper describes a modeling approach that helps to represent necessary aspects of complex socio-technical systems, such as organization, in an integrated form and provides a simulation technique for analyzing these organi-sations. An actor-based language is introduced and compared to a conventional simulation approach (Stock-and-Flow) by simulating aspects of a software ser-vices company

A wide-spectrum approach to modelling and analysis of organisation for machine-assisted decision-making

This paper describes a modeling approach that helps to represent necessary aspects of complex socio-technical systems, such as organization, in an integrated form and provides a simulation technique for analyzing these organisations. An actor-based language is introduced and compared to a conventional simulation approach (Stock-and-Flow) by simulating aspects of a software services company

Toward overcoming accidental complexity in organisational decision-making

This paper takes a practitioner's perspective on the problem of organisational decision-making. Industry practice follows a refinement based iterative method for organizational decision-making. However, existing enterprise modelling tools are not complete with respect to the needs of organizational decision-making. As a result, today, a decision maker is forced to use a chain of non-interoperable tools supporting paradigmatically diverse modelling languages with the onus of their co-ordinated use lying entirely on the decision maker. This paper argues the case for a model-based approach to overcome this accidental complexity. A bridge meta-model, specifying relationships across models created by individual tools, ensures integration and a method, describing what should be done when and how, and ensures better tool integration. Validation of the proposed solution using a case study is presented with current limitations and possible means of overcoming them outlined

Next generation enterprise modelling: the role of organizational theory and multi-agent systems

This position paper proposes that the current enterprise modeling approaches are overly reliant on the know how or tacit knowledge of enterprise architects for addressing organizational challenges such as business-IT alignment. Furthermore, current modeling languages only encourage linear thinking. By drawing upon existing research on (computational) organization theory and multi-agent systems, we propose implementation requirements for a next generation enterprise modeling language that supports agent based simulation

Next generation enterprise modelling: the role of organizational theory and multi-agent systems

This position paper proposes that the current enterprise modeling approaches are overly reliant on the know how or tacit knowledge of enterprise architects for addressing organizational challenges such as business-IT alignment. Furthermore, current modeling languages only encourage linear thinking. By drawing upon existing research on (computational) organization theory and multi-agent systems, we propose implementation requirements for a next generation enterprise modeling language that supports agent based simulation