Toward overcoming accidental complexity in organisational decision-making

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.

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Abstract

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 - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Identification Number:	https://doi.org/10.1109/MODELS.2015.7338268
Page Range:	368-377
Depositing User:	Tony Clark
Date Deposited:	21 Jun 2016 10:23
Last Modified:	18 Mar 2021 16:22
URI:	https://shura.shu.ac.uk/id/eprint/12463

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