Productivity improvement of manufacturing SMEs via technology innovation in Korea

被引：0

作者：

Doo, Min Kyun ^{[1
]}

Sohn, So Young ^{[1
]}

机构：

[1] Yonsei Univ, Dept Informat & Ind Engn, 134 Shinchon Dong, Seoul 120749, South Korea

来源：

ADVANCES ON ARTIFICIAL INTELLIGENCE, KNOWLEDGE ENGINEERING AND DATA BASES, PROCEEDINGS | 2008年

关键词：

technological innovation; decision tree; small and medium enterprise; data mining; INDUSTRY; BIOTECHNOLOGY; PERFORMANCE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The competitive strength of small and medium enterprises (SMEs) based on technological innovation is one of the most important managerial strategies for holding a dominant position under the fierce global competition. in this study, a decision tree is used to grasp SMEs' innovation activities hierarchically for technological innovation, where the increase of annual productivity rate is used as a proxy target variable for innovation while SMEs' various innovative activities are used as explanatory variables in the form of information acquisition, technological cooperation, technology acquisition, government support, patenting, and compensation. Based on the results of our decision tree analysis, we suggest some insightful strategies for successful innovation of SMEs. It is expected that our study can provide a means for improvement of productivity based on technological innovation.

引用

页码：448 / +

页数：3

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