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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14305
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| Title: | Annotate! A Web-based Knowledge Management Support System for Document Collections |
| Authors: | Ginsburg, Mark
Kambil, Ajit |
| Issue Date: | 5-Jun-1998 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-98-19 |
| Abstract: | Knowledge management is an increasingly important source of competitive
advantage for organizations. Knowledge is often a renewable. re-usable
and accumulating asset of value to firms that increases in value with
employee experience and organizational life. Knowledge embedded in the
organization's business processes or the employee's skills are assets
are generally hard to discern, accumulate and replicate by competitors.
It provides the firm with unique capabilities or "resources"
to deliver customers with a product or service. In contrast as we
undertake electronic commerce, customer interfaces and business
strategies generally become more visible to competitors. Thus the
organizations capacity to effectively accumulate and leverage knowledge
assets better than its competitors becomes a key source of competitive
differentiation. As firms become more knowledge intensive, more effort
is being expended on knowledge management (KM). While much progress has
been made on designing IS to support decision making, the art and design
of KM systems to preserve, index, formalize and leverage knowledge in
organizations is still new (see OâLeary (OâLeary, 1998)
for a review of best practices). Knowledge is fundamentally more complex
than information or data, and systems supporting knowledge management
have a broader range of design issues. This paper reviews approaches to
knowledge management support systems (KMSS) and proposes the need to
design systems that carefully map their features to target organizations
and user groups. We illustrate Annotate! as a specific KMSS designed to
support the knowledge management of document collections in federated
organizations which lack common vocabularies and central authority. |
| URI: | http://hdl.handle.net/2451/14305 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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