Please use this identifier to cite or link to this item:
|Title:||A framework for managing enterprise knowledge for collaborative decision support|
|Citation:||Zhang, N., Lu, W.F. (2007). A framework for managing enterprise knowledge for collaborative decision support. IEEE International Conference on Industrial Informatics (INDIN) 1 : 517-522. ScholarBank@NUS Repository. https://doi.org/10.1109/INDIN.2007.4384811|
|Abstract:||This paper presents a new knowledge management paradigm in order to assist knowledge workers to make decision effectively and efficiently in the new economy age. The paradigm is called Knowledge Infused Decision Support (KIDS) framework for managing knowledge required for complex decisions in manufacturing processes. KIDS framework tackles two kinds of knowledge: quantitative knowledge and qualitative knowledge. Quantitative knowledge is discovered from enterprise's business databases through data mining, and qualitative knowledge like experience and judgment captured from human in the collaborative decision making process. The infusion of quantitative and qualitative knowledge provides better understanding of business processes and the decision contexts for decision makers to make decisions quickly under the pressures of time- and knowledge-based competition. The knowledge is then codified into enterprise's knowledge repository. A knowledge mapping mechanism is also provided in the framework for not only delivering the relevant knowledge to the knowledge workers, but also enabling them to access knowledge from knowledge repository efficiently and effectively at anytime and anywhere. It finally discusses several applications in manufacturing industry in order to speed up design decision making using quantitative and qualitative knowledge. © 2007 IEEE.|
|Source Title:||IEEE International Conference on Industrial Informatics (INDIN)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 11, 2018
checked on Nov 9, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.