Using Knowledge Management Systems to Manage Knowledge Resource Risks

Elias, Nabil; Wright, Andrew

doi:10.1016/s1474-7871(06)15009-1

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…So far, there are lots of researches on the composition of knowledge management risk. Elias and Wright pointed out that reasons behind knowledge management risks can be improper information policy, employee loss, and poor information transferability [5]. Li and Zhang thought there are human resources risk, information risk, organization risk, technology risk, information process risk, and capital risk in knowledge management risk that enterprises face [10].…”

Section: Empirical Analysismentioning

confidence: 99%

“…McBriara et al studied the influence of knowledge management risk on knowledge management planning [4]. Elias and Wright pointed out that reasons behind knowledge management risks can be improper information policy, employee loss, and poor information transferability [5]. Perrott after combining the actual company situation proposed the top-down knowledge management system by establishing risk management committee including CEO, CFO, and risk management staff to monitor knowledge management risk [6].…”

Section: Introductionmentioning

confidence: 99%

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Uncertain Risk Assessment of Knowledge Management: Based on Set Pair Analysis

Gui-bin

Gao

2016

Scientific Programming

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Since the knowledge resource becomes an important part of enterprise resources, the knowledge management risks could significantly affect the enterprise operation efficiency. Controlling knowledge management risks is one of the enterprise management tasks; the managers and researchers focus on how to effectively evaluate the risks. This paper aims to solve this problem and puts forward an evaluation model of the uncertain risks of knowledge management. Based on set pair theory, a model is established to identify the knowledge management risk. Through the concept of connection number, knowledge management risk is divided into five levels. Meanwhile, the development trend of knowledge management risk is classified into same tendency, equal tendency, and contrary tendency by the concept of set pair theory. The application of this model is empirically verified with Chinese enterprises. Through both static and dynamic evaluations of the knowledge management risk, this paper can effectively analyze risk development trend and provide decision support for the enterprise manager about the uncertain risks of knowledge management.

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Section: Empirical Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncertain Risk Assessment of Knowledge Management: Based on Set Pair Analysis

Gui-bin

Gao

2016

Scientific Programming

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Knowledge Engineering or Digital Humanities?

Rousseaux

Saurel

Petit

2013

Studies in Computational Intelligence

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Compared to Classical information Systems, Knowledge-Based Systems are much more dependent on paradigm shifts (Kuhn 1983) that shape their fields of application. Fields of application modify the types of data integrated into the information system, but also relations between data and thus the structure and shape of the databases. More radically these fields may need a representation inconsistent or less compatible with the usual computerized centralized representations of knowledge. When an intervention in the field of culture and the Humanities-literature, history, geography, philosophy, politics, theology, music, visual and graphic art-is at stake, it now seems (Meunier 2012) that digitalization and computation have an impact on the humanities, that culture impacts Computer Science, with the computational field opening onto the cultural, and the humanities opening onto the computational field. This is what can be called the modern-day notion of digital humanities, which more and more researchers and application designers are considering, especially when they work on e-Learning or Serious Games. At least two modes of knowledge representation confront each otherthat of knowledge transmission on the one hand and that usually linked to digital knowledge representation on the other hand. This phenomenon sheds light on the strategic position of the Chinese Academy of Science, unveiled by one of its prominent members (Wang 2009) when he states: "Although the answers to the computational dimensions of culture are not clear, we must foresee them because we simply cannot afford not to see their consequences [….] I am hopeful and optimistic, and believe this could be the beginning of a new area in computing that would seamlessly integrate information technology with social sciences in a connected world." Researchers David Radouin and Stéphane Vandamme pointed this out not long ago, at a seminar 2 on the humanities: "From the 19th century, we have inherited a clear cut separation between the Humanities and Sciences, corresponding to a growing specialization and disciplining. The modern-day university system was built on this disciplinary base, while at the same time calling for its trespassing, for the sake of educating complete individuals. How to think such a project today? […] Do we have to acknowledge the difference between the two different cultures, while trying not to break their unityas, precisely, forms of cultures-for all that? Is it a matter of reinventing a dialogue between two distinct entities or of questioning the nature of this distinctiveness? Can we, do we have to reactivate ancient forms of connection, or on the contrary, acknowledge a profound evolution in the two terms

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Knowledge Based Model for Holistic Information Security Risk Analysis

Huang

Ding

2008

2008 International Symposium on Computer Science and Computational Technology

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Using Knowledge Management Systems to Manage Knowledge Resource Risks

Cited by 3 publications

References 13 publications

Uncertain Risk Assessment of Knowledge Management: Based on Set Pair Analysis

Uncertain Risk Assessment of Knowledge Management: Based on Set Pair Analysis

Knowledge Engineering or Digital Humanities?

Knowledge Based Model for Holistic Information Security Risk Analysis

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