Toward overcoming accidental complexity in organisational decision-making

Tony Clark, Vinay Kulkarni, Souvik Barat, Balbir Barn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publication2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)
PublisherIEEE
Pages368-377
ISBN (Electronic)978-1-4673-6908-4
DOIs
Publication statusPublished - 30 Nov 2015
Event2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS) - Ottawa, ON, Canada
Duration: 30 Sep 20152 Oct 2015

Conference

Conference2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)
Period30/09/152/10/15

Fingerprint

Organizational decision making
Decision maker
Industry
Enterprise modeling
Metamodel
Language modeling

Cite this

Clark, T., Kulkarni, V., Barat, S., & Barn, B. (2015). Toward overcoming accidental complexity in organisational decision-making. In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS) (pp. 368-377). IEEE. https://doi.org/10.1109/MODELS.2015.7338268
Clark, Tony ; Kulkarni, Vinay ; Barat, Souvik ; Barn, Balbir. / Toward overcoming accidental complexity in organisational decision-making. 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. pp. 368-377
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Clark, T, Kulkarni, V, Barat, S & Barn, B 2015, Toward overcoming accidental complexity in organisational decision-making. in 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, pp. 368-377, 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS), 30/09/15. https://doi.org/10.1109/MODELS.2015.7338268

Toward overcoming accidental complexity in organisational decision-making. / Clark, Tony; Kulkarni, Vinay; Barat, Souvik; Barn, Balbir.

2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. p. 368-377.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Clark T, Kulkarni V, Barat S, Barn B. Toward overcoming accidental complexity in organisational decision-making. In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE. 2015. p. 368-377 https://doi.org/10.1109/MODELS.2015.7338268