Toward overcoming accidental complexity in organisational decision-making
Conference item
Kulkarni, V., Barat, S., Clark, T. and Barn, B. 2015. Toward overcoming accidental complexity in organisational decision-making. ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems. Ottawa, Canada 30 Sep - 02 Oct 2015 IEEE. pp. 368-377 https://doi.org/10.1109/MODELS.2015.7338268
Title | Toward overcoming accidental complexity in organisational decision-making |
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Authors | Kulkarni, V., Barat, S., Clark, T. and Barn, B. |
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. |
Keywords | Organizational decision making; Enterprise modeling tools; Meta modelling; Method |
Conference | ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems |
Page range | 368-377 |
Proceedings Title | 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS) |
ISBN | |
Electronic | 9781467369084 |
Publisher | IEEE |
Publication dates | |
Online | 30 Nov 2015 |
Publication process dates | |
Deposited | 26 Jan 2024 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1109/MODELS.2015.7338268 |
Scopus EID | 2-s2.0-84961644743 |
Web of Science identifier | WOS:000380407700042 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/7328153/proceeding |
Language | English |
https://repository.mdx.ac.uk/item/z2149
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