Improving Project Team Formation with CBR-based Knowledge Management Approach

被引:0
作者
Razak, Siti Fatimah Abdul [1 ]
机构
[1] Multimedia Univ Malaysia, Fac Informat Sci & Technol, Selangor, Malaysia
来源
CREATING GLOBAL ECONOMIES THROUGH INNOVATION AND KNOWLEDGE MANAGEMENT: THEORY & PRACTICE, VOLS 1-3 | 2009年
关键词
team formation; case-based reasoning; knowledge management;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
In order for knowledge to be utilised effectively in the process of decision-making, knowledge should be stored and created meaningfully. Case Base Reasoning (CBR) is one of numerous available suggestions which provide a means for solving of new problems by adopting solutions that have been previously applied to solve similar problems. In this paper, the problem of selecting the right person for the right task or project is addressed. Organizations can have competitive advantage by ensuring a project's success through forming effective project teams that will be able to deliver results within the stipulated dateline. Project team members can be selected based on previous experience in dealing with similar projects, past performance, possessed knowledge, requirements of the projects and etc.
引用
收藏
页码:982 / 984
页数:3
相关论文
共 12 条
[1]  
AAMODT A, 1994, AI COMMUN, V7, P39
[2]   Project team selection using fuzzy optimization approach [J].
Baykasoglu, Adil ;
Dereli, Turkay ;
Das, Sena .
CYBERNETICS AND SYSTEMS, 2007, 38 (02) :155-185
[3]  
Checkland P.Scholes., 1990, SOFT SYSTEMS METHODO
[4]  
DUBITZKY W, 1999, WS9910 AAAI
[5]  
HALEY P, 1999, WS9910 AAAI
[6]  
Hefke M, 2004, J UNIVERS COMPUT SCI, V10, P731
[7]  
PANDYA R, 1999, WS9910 AAAI
[8]   Case-based reasoning is a methodology not a technology [J].
Watson, I .
KNOWLEDGE-BASED SYSTEMS, 1999, 12 (5-6) :303-308
[9]  
WATSON I, 2001, P 14 INT FLOR ART IN
[10]  
WATSON I, 2002, ADV CASE BASED REASO, P235