Integrating web-based data mining tools with business models for knowledge management

被引:49
|
作者
Heinrichs, JH
Lim, JS
机构
[1] Wayne State Univ, Detroit, MI 48202 USA
[2] Univ Toledo, Sch Business Adm, IMES Dept, Toledo, OH 43606 USA
关键词
web-based data mining; knowledge management; business models; business intelligence; business insights; competitive advantage;
D O I
10.1016/S0167-9236(02)00098-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As firms begin to implement web-based presentation and data mining tools to enhance decision support capability, the firm's knowledge workers must determine how to most effectively use these new web-based tools to deliver competitive advantage. The focus of this study is on evaluating how knowledge workers integrate these tools into their information and knowledge management requirements. The relationship between the independent variables (web-based data mining software tools and business models) and the dependent variable (strategic performance capabilities) is empirically tested in this study. The results from this study demonstrate the positive interaction effect between the tools and models application on strategic performance capability. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:103 / 112
页数:10
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