Summary of Semantic Computing For Organizational Effectiveness: From Organization Theory to Practice Through Semantics-based Modelling, by Mena Rizk et al.
Semantic Computing for Organizational Effectiveness: From Organization Theory to Practice through Semantics-Based Modelling
by Mena Rizk, Daniela Rosu, Mark Fox
First submitted to arxiv on: 29 Dec 2023
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed research introduces a novel ontology-based framework to reason about coordination and cooperation problems in organizations. By formalizing concepts like outcome, reward, and epistemic dependence, the authors aim to bridge the gap between organizational models and real-world dependencies. Leveraging extensive fieldwork with a North American municipality, the study presents an innovative approach to analyzing and supporting integration in complex government infrastructure projects. The framework is implemented and validated using Z3 and OWL, offering inferable dependencies, explainable coordination risks, and actionable insights for mitigating risks through dependency structure adjustments. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research helps organizations work better together by creating a special set of rules (ontology) to understand how different parts of the organization rely on each other. The authors studied one of North America’s largest municipalities to develop this new approach. By using this framework, organizations can identify and fix problems that stop them from working well together. This could lead to more effective decision-making and better outcomes. |
