IT and KM_UNESCAP 4Feb05_fin

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Information about IT and KM_UNESCAP 4Feb05_fin

Published on January 15, 2009

Author: aSGuest10692


Information Technology: An Enabler for Knowledge Management : Information Technology: An Enabler for Knowledge Management UNESCAP Seminar on Knowledge Management 4 February 2005 Slide 2: KM KM and IT Functional Requirements ADB IT Applications Presentation Outline Knowledge Management (KM) : Knowledge Management (KM) Knowledge management is fast emerging as a core strategy, that organizations worldwide is adopting to manage and leverage organizational knowledge for sustainable business advantage. The purpose of KM is to gather, categorize, store and spread all knowledge that is needed to make the organization both grow and prosper. It is not as much a technology change as it is a cultural change, but technology is a primary enabler of KM practices. Knowledge Management and Information Technology : Knowledge Management and Information Technology While technology can support KM, it is not the starting point of a KM program. Make KM decisions based on who (people), what (knowledge) and why (business objectives). Save the how (technology) for last. Organizations can attain maturity in KM only through healthy coexistence of technology, processes and people. Key Building Blocks of KM : Key Building Blocks of KM Enterprise Information Portal Search and Retrieval Taxonomy, Classification, Indexing Document and Information Management Systems Collaborative Application Environment Simultaneous Collaboration Key KM Portal Basic Functions : Key KM Portal Basic Functions Single sign-on, Profile Structure, navigation, and personalization Community, share and collaborate Work Flow Capture, Store and Publish Categorize and classify Search and Retrieve Notification Integration with business applications Maintenance Content Management System : Content Management System Systems that support the creation and administration of digital information Programs for managing the content of web sites Allows “authors” to provide new content in the form of articles Often include some concept of workflow for target users which defines how content is to be routed around the system Search and Taxonomies : Search and Taxonomies Unstructured and semi-structured nature of content make it difficult to search information Taxonomy relates to a list of terms divided into groups, categories or clusters, and is usually paired with search. Taxonomy supports indexing which drives search Controlled vocabulary search vs free-text search Slide 9: Knowledge Generation Technology Organization Constraints/ Support Creation & Capture Sharing & Enriching Class’n, Storage & Retrieval Dissemination Research Studies Assessments Field Exp. Dialogue with Partners Teams Committees Networks Documentation Databanks -Lessons Learned -Best Practices -Research Findings Targets Reporting Incentives Systems Technology Skills Resources Publications Policy advice Institution building support Seminars/ forums Websites Online services Communication And Application ADB’s Knowledge Creation and Capture Program : ADB’s Knowledge Creation and Capture Program Staff Leadership of Knowledge Work Knowledge summaries, lessons learned Knowledge Partners Program (AIM, AIT..) Staff Work Program for Learning ADB’s Knowledge Sharing and Enriching Program : ADB’s Knowledge Sharing and Enriching Program Country and Project Teams Committees and Networks Knowledge Partners Program ADB’s Knowledge Classification, Storage, Retrieval Program : ADB’s Knowledge Classification, Storage, Retrieval Program Databanks – Region, Country, Sector, Theme Portals and search engines; online service Electronic Document repositories Central Knowledge Center ADB’s Knowledge Dissemination Program : ADB’s Knowledge Dissemination Program Formalize Knowledge Dissemination Goals & Targets (CSPs, SCSPs, Regionwide Program) CLICK Program More effective use of RMs and ROs Enhanced Websites

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