A fuzzy GSS framework for organizational knowledge acquisition

被引:21
作者
Lee, JN
Kwok, RCW
机构
[1] Korea Adv Inst Sci & Technol, Grad Sch Management, Seoul 130012, South Korea
[2] City Univ Hong Kong, Dept Informat Syst, Seoul 130012, South Korea
关键词
group support systems; knowledge acquisition; knowledge management; organizational learning;
D O I
10.1016/S0268-4012(00)00030-X
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Although the concept of viewing knowledge as a critical resource has been widely accepted in prior studies, it is not fully understood how to acquire available knowledge in order to improve organizational effectiveness, However, it is sure that organizational knowledge management should pursue the achievement of the business goal by delivering relevant and useful information to the right person at the right time. Group Support Systems (GSS) can play an important role in transfering scattered information into meaningful business knowledge for supporting strategic corporate decision-making. This study proposes a fuzzy GSS framework for acquiring workgroup knowledge from individual memory and aggregating workgroup knowledge into organizational knowledge. This study also proposes an architecture to support the fuzzy GSS framework. The architecture consists of user agents, information management agents, and a fuzzy model manager. To illustrate how the fuzzy GSS framework can be used to support the whole process of organizational knowledge acquisition, an Internet-based GSS was developed and applied in a marketing decision process. It showed that the framework was effective for acquiring organizational knowledge. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:383 / 398
页数:16
相关论文
共 37 条
[1]   COMPUTER-MEDIATED COLLABORATIVE LEARNING - AN EMPIRICAL-EVALUATION [J].
ALAVI, M .
MIS QUARTERLY, 1994, 18 (02) :159-174
[2]  
[Anonymous], 2000, Working knowledge
[3]  
[Anonymous], 1992, LECT NOTES ECON M, DOI DOI 10.1007/978-3-642-46768-4_5
[4]  
Argyris C., 1978, Organizational Learning II: Theory, Method, and Practice
[5]   A fuzzy parametrical forward- and backward-chained two-dimensional attribute decision model [J].
Crowe, TJ ;
Nuno, JP .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 1997, 27 (02) :186-194
[6]   TOWARD A MODEL OF ORGANIZATIONS AS INTERPRETATION SYSTEMS [J].
DAFT, RL ;
WEICK, KE .
ACADEMY OF MANAGEMENT REVIEW, 1984, 9 (02) :284-295
[7]  
Dennis A. R., 1994, Journal of Organizational Computing, V4, P177, DOI 10.1080/10919399409540222
[8]   INFORMATION TECHNOLOGY TO SUPPORT ELECTRONIC MEETINGS [J].
DENNIS, AR ;
GEORGE, JF ;
JESSUP, LM ;
NUNAMAKER, JF ;
VOGEL, DR .
MIS QUARTERLY, 1988, 12 (04) :591-624
[9]   A FOUNDATION FOR THE STUDY OF GROUP DECISION SUPPORT SYSTEMS [J].
DESANCTIS, G ;
GALLUPE, RB .
MANAGEMENT SCIENCE, 1987, 33 (05) :589-609
[10]  
Duncan R.B., 1979, RES ORGAN BEHAV, V1, P75