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Circumstance-based categorization analysis of knowledge management systems for the japanese market
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Source Conference on Information and Knowledge Management archive
Proceedings of the thirteenth ACM international conference on Information and knowledge management table of contents
Washington, D.C., USA
SESSION: Industry track table of contents
Pages: 507 - 514  
Year of Publication: 2004
ISBN:1-58113-874-1
Authors
Makoto Sano  Justsystem Corporation, Minato-ku, Japan
David A. Evans  Clairvoyance Corporation, Pittsburgh, PA
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We conducted a survey of thirty of the approximately 1,700 customers of Justsystem Corporation's knowledge-management applications. Our goal was to discover the kinds of functions that customers hoped to address in their next-generation use of knowledge management technology and to assess the core processes that we will need to deploy in our products to address their desired solutions. In particular, we sought to analyze our customers' requirements along dimensions that take account of both the context of use of the application and its stage in the cycle of knowledge creation and use. As part of our analysis, we were able to classify all customer cases as focused by one or more of three Goals, supported by one or more of eleven technology Means. To establish appropriate categories of use, we exploited the stages of the <i>SECI Model</i>, several other transactional categories of knowledge use, and whether activities were targeted at internal or external users. Through the analysis, we found the typical technology components (Means) for each stage of knowledge creation and use associated with each set of goals. We consider such analysis essential to the task of designing next-generation knowledge-management applications and critical to overcoming the unfortunate tendency of developers to devise solutions that bear little relation to the true needs of users.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Makoto Sano: colleagues
David A. Evans: colleagues