Decisions as Units of Organisational Knowledge to Manage Complexity

Pasley, Robert; macCarthy, Bart L.

Abstract

Effective decision making can help organizations to manage complexity. Here we argue that considering decisions as units of organizational knowledge and providing a means for decision storage, retrieval and reuse can facilitate effective decision making. To enable the recording and retrieval of decisions, a conceptual model is presented that can be used as a set of requirements for a data structure for decision storage. The approach conforms partly to the proposed Common Decision Exchange Protocol (CDEP) standard, but we extend it to capture decision attributes, decision making stages, decision makers and other collaborators, and the information and tools used. Capturing the linkages between decision elements enables a wide range of organizational decision making processes to be encoded for ontological reasoning. We show the derivation of a new conceptual model from cases. We use the context of decision making in Product Lifecycle Management (PLM) to motivate and illustrate the conceptual model.

Citation

Pasley, R., & macCarthy, B. L. (2016). Decisions as Units of Organisational Knowledge to Manage Complexity. In Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part III (153-161). https://doi.org/10.1007/978-3-319-28564-1_13

• Conference Name: 36th International Conference Information Systems Architecture and Technology
• Start Date: Sep 20, 2015
• End Date: Sep 22, 2015
• Acceptance Date: Jan 1, 2016
• Online Publication Date: Feb 24, 2016
• Publication Date: Feb 24, 2016
• Deposit Date: Dec 13, 2018
• Publisher: Springer
• Pages: 153-161
• Series Title: Advances in Intelligent Systems and Computing
• Series Number: 431
• Book Title: Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part III
• ISBN: 978-3-319-28562-7
• DOI: https://doi.org/10.1007/978-3-319-28564-1_13
• Public URL: https://nottingham-repository.worktribe.com/output/1410350
• Publisher URL: https://link.springer.com/chapter/10.1007/978-3-319-28564-1_13