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.

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Divisions: College of Engineering & Physical Sciences
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Event Title: 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)
Event Type: Other
Event Location: Ottawa, ON, Canada
Event Dates: 2015-09-30 - 2015-10-02
ISBN: 978-1-4673-6908-4
Last Modified: 27 Jun 2024 12:27
Date Deposited: 10 Feb 2020 14:35
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Related URLs: https://ieeexpl ... cument/7338268/ (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2015-11-30
Authors: Clark, Tony (ORCID Profile 0000-0003-3167-0739)
Kulkarni, Vinay
Barat, Souvik
Barn, Balbir



Version: Accepted Version

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