Discovering role-based virtual knowledge flows for organizational knowledge support

Duen-Ren Liu*, Chih Wei Lin, Hui Fang Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

In knowledge-intensive work environments, workers need task-relevant knowledge and documents to support the execution of tasks. A knowledge flow (KF) represents an individual's or group's knowledge-needs and referencing behavior of codified knowledge during the performance of organizational tasks. Through knowledge flows, organizations can provide workers with task-relevant knowledge to satisfy their knowledge-needs. In teamwork environments, knowledge workers with different roles and task functions usually have diverse knowledge-needs, but conventional KF models cannot satisfy such needs. In a previous work, we proposed a novel concept and theoretical model called Knowledge Flow View (KFV). Based on workers' diverse knowledge-needs, the KFV model abstracts knowledge nodes of partial KFs and generates virtual knowledge nodes through a knowledge concept generalization procedure. However, the KFV model did not consider the diverse knowledge-needs of workers who play different roles in a team. Therefore, in this work, we propose a role-based KFV model that discovers role-based virtual knowledge flows to satisfy the knowledge-needs of different roles. First, we analyze the level of knowledge required by workers to fulfill various roles. Then, we develop role-based knowledge flow abstraction methods that generate appropriate virtual knowledge nodes to provide sufficient knowledge for each role. The proposed role-based KFV model enhances the efficiency of KF usage, as well as the effectiveness of knowledge sharing and knowledge support in organizations.

Original languageEnglish
Pages (from-to)12-30
Number of pages19
JournalDecision Support Systems
Volume55
Issue number1
DOIs
StatePublished - 1 Apr 2013

Keywords

  • Knowledge flow
  • Knowledge flow view
  • Knowledge management
  • Knowledge support
  • Ontology
  • Role

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