A New Financial Investment Management Method Based on Knowledge Management

Author(s):  
Quanyong Yu
2015 ◽  
Vol 743 ◽  
pp. 590-593
Author(s):  
H.T. Bai ◽  
J. Zhu ◽  
W. Chen ◽  
H. Chen

As the emergence phenomenon reflects the process of knowledge creation. Knowledge Management (KM) technology is naturally taken into account. The characteristic of emergence has brought new requirements for implementing KM. After they have been sufficiently analyzed, a knowledge resource management method based on ontology cloud model is put forward. The method is a set of scientific and effective management solution, which consists of expressing knowledge from emergence, defining knowledge evolution process, and sharing knowledge to promote emergence. This method is a good thought for making use of emergence and good for innovation.


2010 ◽  
Vol 143-144 ◽  
pp. 23-27
Author(s):  
Zhi Gang Ji

The use of knowledge management tools definitely improves the quality of services offered by the digital libraries. As, these tools are mainly open source it’s easy to integrate these tools for the effective knowledge management given the condition, the basic purpose of implementation is clear. There may be different hurdles that might come while the implementation of the tools. These hurdles can be overcome with the help of the proposed framework which is very much efficient in integrating these tools with effective library management.


2007 ◽  
Vol 22 (4) ◽  
pp. 456-464 ◽  
Author(s):  
Nikhil Mehta ◽  
Sharon Oswald ◽  
Anju Mehta

Knowledge is being discussed as one of the most important organizational resources. But these resources exist in specialized pockets dispersed across the organization, and dedicated knowledge management (KM) programs are required to improve their flow. However, high failure rates of such programs raise serious doubts about their ability to improve knowledge flows. This case traces the KM program of Infosys Technologies, Ltd – a Global Most Admired Knowledge Enterprise. The case describes how, in 1999, Infosys’ top management detected a severe lack of organizational knowledge flows while implementing a program aimed at continuously improving their core business processes. A more detailed examination exposed that the lack of knowledge flows stifled the effectiveness of their organizational structure and their business model. Alarmed by these critical findings, Infosys initiated their KM program. A five-stage knowledge maturity model (KMM) was conceptualized to aid KM implementation. With people, processes, and technology as the three pillars of Infosys’ KM program, KMM identified specific capabilities Infosys needed to develop in each of the five levels. Things worked fine till 2004 when Infosys began moving towards KMM Level 4, which required developing clear metrics to measure KM effectiveness, that is, improvements in knowledge flow. In the absence of such metrics, Infosys’ Board of Directors started questioning company's financial investment in the KM program. The CEO, who championed the KM program, knew that he faced two key challenges – to convince the Board of future revenue prospects of the KM program, and to identify metrics for assessing improvements in organizational knowledge flows.


Author(s):  
Na Li

To solve the problems in the curriculum of unstructured learning resources, data association organizations and knowledge management methods were proposed. First, according to functions and requirements, the associated course data system was designed. Then, the table conversion test and the storage index test were performed. Finally, the merger test of the entity was carried out. Results showed that the data association organization and knowledge management methods effectively solved the problem of the curriculum of unstructured learning resources. In summary, the online learning environment provides conditions for unstructured learning resources.


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