The Impact of Openness on Innovation Efficiency: Manufacturing and Service Industry

被引：0

作者：

JoungIn, Choi ^{[1
]}

Wook, Byun Jung ^{[3
]}

Chul, Lee Byoung ^{[2
]}

Bae, Kim Yun ^{[3
]}

机构：

[1] Korea Israel Ind R&D Fdn, Seoul, South Korea

[2] Fdn Agri Tech Commercializat & Transfer, Suwon, South Korea

[3] Syungkyunkwan Univ, Suwon, Gyeonggi Do, South Korea

来源：

2013 PROCEEDINGS OF TECHNOLOGY MANAGEMENT IN THE IT-DRIVEN SERVICES (PICMET'13) | 2013年

关键词：

RESEARCH-AND-DEVELOPMENT; DATA ENVELOPMENT ANALYSIS; PRODUCTIVE EFFICIENCY; TECHNOLOGICAL-INNOVATION; DEA; INDICATORS; MODELS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

As innovation activity within cooperation, network, and openness is paid attention, open innovation that reinforces competitiveness of innovation activity using various inside and outside sources, was introduced. In this study, the innovation efficiency of Korean manufacturing and service industry is measured and relationship with openness is analyzed. In comparative analysis among observed firms with relative efficiency measurement, it should be evaluated under identical conditions by ruling out external environmental influences. Therefore a three-stage approach is applied to estimate net innovation efficiency that excludes advantage or disadvantage from environmental factors. This study estimates net innovation efficiency that terminates effects of external factors placed in out of operational control of firm using the three-stage approach. It aims to improve reliability of research because observed firms are evaluated under identical conditions. Furthermore, the results show the degree of openness affects innovation efficiency positively in manufacturing sector. It implicates the needs of policy that encourages manufacturing firms to cooperate with external facilities actively.

引用

页码：997 / 1009

页数：13

共 31 条

[1]

Afriat S., 1972, INT ECON REV, V13, P563

[2]

[Anonymous], 2006, OPEN INNOVATION RES

[3] SOME MODELS FOR ESTIMATING TECHNICAL AND SCALE INEFFICIENCIES IN DATA ENVELOPMENT ANALYSIS [J].