標題: Discovering role-based virtual knowledge flows for organizational knowledge support
作者: Liu, Duen-Ren
Lin, Chih-Wei
Chen, Hui-Fang
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Knowledge flow;Knowledge flow view;Knowledge support;Knowledge management;Role;Ontology
公開日期: 1-四月-2013
摘要: 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 ITV model enhances the efficiency of KF usage, as well as the effectiveness of knowledge sharing and knowledge support in organizations. (c) 2013 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.dss.2012.11.018
http://hdl.handle.net/11536/22390
ISSN: 0167-9236
DOI: 10.1016/j.dss.2012.11.018
期刊: DECISION SUPPORT SYSTEMS
Volume: 55
Issue: 1
起始頁: 12
結束頁: 30
顯示於類別:期刊論文


文件中的檔案:

  1. 000320493400003.pdf