KULKARNI, Vinay, BARAT, Souvik, CLARK, Tony and BARN, Balbir S. (2015). Toward overcoming accidental complexity in organisational decision-making. In: 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS) : Proceedings. IEEE, 368-377.
IndustryTrackSubmission.pdf - Accepted Version
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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.
|Item Type:||Book Section|
|Research Institute, Centre or Group:||Cultural Communication and Computing Research Institute > Communication and Computing Research Centre|
|Depositing User:||Tony Clark|
|Date Deposited:||21 Jun 2016 10:23|
|Last Modified:||10 Nov 2016 00:50|
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