Virtual Teams Suported by KMS Knowledge Management System Petr Moos Czech Technical University, Prag

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Virtual Teams Suported by KMS- Knowledge
Management SystemPetr MoosCzech Technical
University, Prague
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COOPERATION AND SYNERGY

• Synergy in cooperation of tems multiplication
  factors in productive functions

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Resulting production function

• Expression respecting the synergy
• PF PF1 PF2 PF3
  (PF1PF2)(PF1PF3)(PF2PF3)
• (PF1PF2PF3)
• It considers the communication and information,
• knowledge and resources sharing

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What is Charakteristic for Virtual Team?

• - group of cooperating people based on common -
• trust
• IT communication environment
• sharing information
• sharing knowledge (KMS,KES)
• sharing facilities
• sharing structures of organisation, coordination
  and interaction with external enviromment

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Important Factors

• - Degree of reliance on ICT
• (Information, Communication Technologies)
• Availability of ICT
• Members proficiency on ICT
• Team size
• Geographic dispersion
• Project duration

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cont.

• Prior shared work experience
• Members assignments
• Stability of membership
• Task interdependence
• Cultural diversity

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How to Create a Successful V.T.

• Clear formulations of common tasks, procedres
  and
• profites
• - Trust-building effort
• Process-oriented team organisation
• Effective Information System
• Motivation for KES and KMS

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KMS- Knowledge Management System
The object oriented research and development KMS
Descriptors
FT1
Field tree
FTx
tree
FT2
PT1
Problem
PT2
PTx
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Problem Tree PTx
Knowledge segments
Poles WP
Solutions
Standards
Institutions
Personalities
Facilities
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Knowledge segment KS
- consists of knowledge elements
(units) / (records) HTTP protocol

HTML documents
Hierarchy -
Object oriented
- Field (field tree)
- Problem
(problem tree)
- Knowledge segment
- Knowledge unit
Knowledge unit KU
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Life Cycle of Knowledge Unit /
Segment Knowledge unit - creation, discovery,
synthesis, recognition
- capture, representation, encoding
- storage, system label
- retrievel, decoding,
protection, disemination
- identification of system relations,
applications,
implementation in to decisions, new construction
- realisations, new
synthesis, review, enhancement,
consolidation synthesis of new
KUlife cycle
continues..
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Knowledge unit (under application concept,

presentation concept) -
declarative (standards) (classifications)
- procedural (solutions, formulae, logic
chain,
causal chain, relation ..) -
inspirational (creative products, new
understanding, discovery of new
phenomenon..)
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Complex Solutions Set of Problems Knowledge
map graph of knowledge relations in the
clusters of konwledge segments and units. The
task is to find the optimal solution in the
set of solutions applying the relevant data and
input informations.
Field tree
Problem tree
Knowledge segment
Task
Solutions- Knowledge units
Optimal solution
Knowledge map
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Corporate Knowledge Exchange CKE Sharing best
practice
Field tree
tasks
Field tree
Problem tree
Problem tree
Field tree
Problem tree
solutions
enhancing feedback growing knowledge
Meta-knowledge system based on contextual principe
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How to reach the relevant knowledge ?
User
www explorer
Communication on HTTP protocol enables HTML
document transfer
Portal to RKMS
Index of HTML doc
HTTP
Robot
www
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Fragment of hypertext network of HTML documents
Output
----- -----
Input
----- ----- -----
---- ---- ----
---- ---- ---- ----
----- Task ----
---- ---- ----
----- ----- -----
----- ----- -----
Solution
EURNEX KMS
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Rail R / D Knowledge Ontology
Ontology is an explicit agreement on shared
concept and systém in the knowledge pool 5
types of ontology - domain oriented - task
oriented - generic oriented - applications
oriented - representation oriented Representati
on ontology ? presentation of knowledge
suitable for knowledge archive
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RKMS Representation Ontology

• Agreement ?
• - WP deliverables of standard structure with
  title structure Field, branche, object,
  problem, knowledge segment, knowledge unit.
• - Pole deliverables in standard structure
• ----------
• Documents and deliverables use systematically
  HTML labels to relating sources and citations.

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• Knowledge Cube -
• Presentation oriented

External, internal sources (authors)
ESij
ISij
Analytic attributes
Aij
Design attributes
Oi
Pj
Dij
i - object j - process
Object Process identification
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Presentation oriented Knowledge element related
to object i and process j
Kij
( Lij , Nij , Pij )
where
Lij ( Oi , Pj ) . . . Identification of i
object, j - process
Nij ( Aij , Dij ) . . . core segment of
knowledge element
Pij (ISij , ESij ) . . . IS-internal sources,
ES-external sources
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Meta knowledge system ( MKS )
Input
Output
KMS1
CKE
KMS2
KMSi
CKE Corporate Knowledge Exchange
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Strategic task
Decision Information - solution

MKS meta knowledge system
Data
CKE corporate knowledge exchange
KMSj
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Thanks for your

• attention