Improvement strategies for the tools and techniques of quality improvement: Utilization of a performance evaluation matrix in the taiwanese high-tech industry

2011 ◽  
Vol 22 (4) ◽  
pp. 340-350 ◽  
Author(s):  
Shun-Hsing Chen
Keyword(s):  
Performance Evaluation ◽  
Quality Improvement ◽  
High Tech ◽  
High Tech Industry ◽  
Improvement Strategies ◽  
Tools And Techniques ◽  
Evaluation Matrix ◽  
A Performance

A Performance Evaluation of Object Detections by Progressive Quality Improvement Approach

2019 ◽  
Author(s):  
Chaxiong Yukonhiatou ◽  
Tomoki Yoshihisa ◽  
Tomoya Kawakami ◽  
Yuuichi Teranishi ◽  
Shinji Shimojo
Keyword(s):  
Performance Evaluation ◽  
Quality Improvement ◽  
A Performance

scholarly journals Research on the Evaluation of Innovation Performance of Regional High-tech industry Based on Grey Relation Analysis

2020 ◽  
Vol 214 ◽  
pp. 02049
Author(s):  
Peizhe Li
Keyword(s):  
Performance Evaluation ◽  
Performance Level ◽  
Innovation Performance ◽  
Good Effect ◽  
High Tech ◽  
Entropy Weight ◽  
High Tech Industry ◽  
Innovation Activities ◽  
Correlation Analysis Method ◽  
Entropy Weight Method

Scientific evaluation of the innovation performance of regional high-tech industry has an important impact on promoting the healthy development of high-tech industry and promoting regional economic growth. On the basis of constructing the index system of regional high-tech industry innovation performance evaluation, the index weight is determined based on the entropy weight method, and the gray correlation analysis method is used to evaluate and rank the regional high-tech industry innovation performance. The results show that there is a large gap in the innovation performance level of regional high- tech industries in China, and the innovation performance level of coastal areas is higher, such as Guangdong, Jiangsu, Zhejiang and other provinces; the innovation performance level of western areas is lower, such as inner Ningxia, Xinjiang, Qinghai and other provinces. The evaluation result of this method is scientific and objective, and it has a good effect in high-tech industry innovation performance evaluation. The conclusion of this paper can provide corresponding enlightenment for the innovation activities of regional high-tech industries in China.

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