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Designing Knowledge Infrastructures Organizations and Society in Information Systems (OASIS) 2004 Workshop December, 12th, 2004. Ronald Maier Dept. of Management Information Systems, Information Systems Leadership Martin-Luther-University Halle-Wittenberg. Overview. Motivation

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slide1

Designing Knowledge Infrastructures

Organizations and Society in Information Systems (OASIS) 2004 WorkshopDecember, 12th, 2004

Ronald MaierDept. of Management Information Systems, Information Systems Leadership

Martin-Luther-University Halle-Wittenberg

overview
Overview
  • Motivation
  • Enterprise Knowledge Infrastructures (EKI)
  • Framework for integrated design of knowledge work
  • Discussion
slide3

Knowledge Infrastructures

  • Multiple terms used vaguely
    • knowledge (management) infrastructure, knowledge warehouse
    • organizational memory system
    • KM tools, software, combination of tools applied with KM in mind
    • KM platforms, suites, systems
  • What separates knowledge infrastructures from more traditional IS?
    • Intranet infrastructures,
    • document and content management systems,
    • artificial intelligence tools,
    • business intelligence tools,
    • Groupware or collaboration tools,
    • e-learning systems,
  • What can we learn from this for modeling knowledge work?
definition of knowledge infrastructure
Definition of Knowledge Infrastructure
  • a comprehensive ICT platform
  • for collaboration and knowledge sharing
  • with advanced knowledge services built on top that are
    • contextualized,
    • integrated on the basis of a shared ontology and
    • personalized
    • for participants networked in communities.
  • foster the implementation of KM instruments
  • in support of knowledge processes
  • targeted at increasing organizational effectiveness.
knowledge work
Knowledge work…
  • solves weakly structured problems with a high degree of variety and exceptions,
  • is creative work and requires creation, acquisition, application and distribution of knowledge,
  • uses intellectual abilities and specialized knowledge rather than physical abilities,
  • requires a high level of education, training and experiences resulting in skills and expertise,
  • is often organized decentrally using new organizational metaphors,
  • bases inputs and outputs primarily on data and information,
  • has strong communication needs and is highly mobile and distributed,
  • and thus requires a strong yet flexible support by information and communication technologies.
architecture of knowledge infrastructure

knowledge worker

I – access services

authentication; transformation for diverse applications and appliances

II – personalization services

identity management; person-, process-, project- or role-oriented knowledge portals

III – knowledge services

discovery

search, visuali-

zation, navigation

collaboration

competence mgmt.,

community spaces

learning

authoring, course

mgmt., tutoring

publication

structuring,

contextualization

IV – integration services

semantic integration based on ontologies; user, function, process integration

V – infrastructure services

Intranet infrastructure services (e.g., storage, access, messaging, security services); extract, transformation, loading, inspection services

Intranet/Extranet:

messages, contents

of CMS,E-lear-

ning platforms

DMS documents,

files from office

information

systems

data from

RDBMS,

TPS, data

warehouses

personal

information

manage-

ment data

content from

Internet,

WWW,

newsgroups

data from

external

online

data bases

VI – data and knowledge sources

Architecture of Knowledge Infrastructure
km instrument
KM Instrument

Definition ICT-supported KM instrument:

  • consist of an aligned collection of organizational, HRM and ICT measures
  • that can be deployed purposefully in order to achieve knowledge-related goals,
  • independent of a particular knowledge domain.
research questions
ResearchQuestions
  • How do we model knowledge work?
    • knowledge as product vs. process vs. knowledgeable people
    • completeness vs. understandability
    • concepts for analysis versus design of knowledge work
    • person, product, process, productivity tools
  • How do we support it with knowledge infrastructures?
    • task, knowledge, community, learning spaces
    • seamless integration of personal and organizational KM environment
    • inter-organizational knowledge infrastructures - standardization
  • How do we measure success?
    • productivity of knowledge work
    • success of knowledge infrastructures