Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management

被引:133
作者
Chang, Tsung-Han [1 ]
Wang, Tien-Chin [2 ]
机构
[1] Kao Yuan Univ, Dept Informat Management, Lujhu Township 821, Kaohsiung Count, Taiwan
[2] I Shou Univ, Inst Informat Management, Kaohsiung 820, Taiwan
关键词
Knowledge management; Fuzzy sets theory; Multi-criteria decision making; Prediction; Linguistic variables; Triangular fuzzy numbers; ORGANIZATIONAL KNOWLEDGE; INFORMATION-TECHNOLOGY; MODEL; MCDM; STRATEGY; IDENTIFICATION; PROBABILITY; PERFORMANCE; PARTNERS; TOOL;
D O I
10.1016/j.ins.2008.10.012
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
This study develops a forecasting framework based on the fuzzy multi-criteria decision making (FMCDM) approach to help organizations build awareness of the critical influential factors on the success of knowledge management ( KM) implementation, measure the success possibility of knowledge management projects, as well as identify the necessary actions prior to embarking on conducting knowledge management. Subjectivity, uncertainty and vagueness within the prediction process are dealt with using linguistic variables parameterized by triangular fuzzy numbers. By multiplying the importance weights of influential factors and the possible rating of success (failure), predicted success (failure) values are determined to enable organizations to decide whether to initiate knowledge management, inhibit adoption or undertake remedial improvements to increase the possibility of successful knowledge management project. The proposed approach is demonstrated using a real case involving a Taiwanese semiconductor engineering corporation. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:355 / 370
页数:16
相关论文
共 88 条
[1]
Ayas Karen., 1996, INT J PROJ MANAG, V14, P131, DOI [10.1016/0263-7863(95)00080-1, DOI 10.1016/0263-7863(95)00080-1]
[2]
The crucial interrelationship between manufacturing strategy and organizational culture [J].
Bates, KA ;
Amundson, SD ;
Schroeder, RG ;
Morris, WT .
MANAGEMENT SCIENCE, 1995, 41 (10) :1565-1580
[3]
BAVON S, 1999, INT J PUBLIC ADMIN, V18, P491
[4]
Bellman R. E., 1971, Decision-making in a fuzzy environment, DOI 10.1287/mnsc.17.4.B141
[5]
Understanding the influence of organizational change strategies on information technology and knowledge management strategies [J].
Bloodgood, JM ;
Salisbury, WD .
DECISION SUPPORT SYSTEMS, 2001, 31 (01) :55-69
[6]
Effective team processes for technology internalisation with special emphasis on knowledge management: successful late starter, Samsung case [J].
Bong, SH ;
Lee, J ;
Gil, YJ .
INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2004, 27 (01) :16-39
[7]
A random support model of the calibration of subjective probabilities [J].
Brenner, LA .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 2003, 90 (01) :87-110
[8]
Enhancing the possibility of success by measuring the probability of failure in an educational program [J].
Brookhart, SM ;
Casile, WJ ;
McCown, RR .
EVALUATION AND PROGRAM PLANNING, 1997, 20 (01) :17-25
[9]
Buckman R.H., 1999, Collaborative knowledge, V22, P22
[10]
Newspaper demand prediction and replacement model based on fuzzy clustering and rules [J].
Cardoso, G. ;
Gomide, F. .
INFORMATION SCIENCES, 2007, 177 (21) :4799-4809