TY - JOUR
T1 - The nonlinear innovation model of the electronics industry in Taiwan
AU - Hsu, Yi
AU - Chen, Li Kung
AU - Chu, Yun Peng
AU - Shia, Ben Chang
PY - 2008/3
Y1 - 2008/3
N2 - This study proposed a nonlinear regression model to analyse the key factors that determine innovation success. The study findings indicated that the factors employee talent, innovation expenditures, cooperation with other companies in innovation activities and use of information technology in high-tech concentrated industries all have a significant and direct influence on the success of product innovation. This finding coincides with the conclusion in previous studies. A significant difference, however, is that this study demonstrated that the ratio of acquisition expenditure on disembodied technology (patents, etc.) to total revenue is not a positive factor for the success of product innovation and, furthermore, that firm size does not significantly influence product innovation. These results are in relation to the targets that are in this research: the successful extent of innovation of new and significantly improved products. Conversely, the study target in previous studies was whether or not the manufacturer executes innovation activities. This study concludes that the characteristics of Taiwan's industries are more important.
AB - This study proposed a nonlinear regression model to analyse the key factors that determine innovation success. The study findings indicated that the factors employee talent, innovation expenditures, cooperation with other companies in innovation activities and use of information technology in high-tech concentrated industries all have a significant and direct influence on the success of product innovation. This finding coincides with the conclusion in previous studies. A significant difference, however, is that this study demonstrated that the ratio of acquisition expenditure on disembodied technology (patents, etc.) to total revenue is not a positive factor for the success of product innovation and, furthermore, that firm size does not significantly influence product innovation. These results are in relation to the targets that are in this research: the successful extent of innovation of new and significantly improved products. Conversely, the study target in previous studies was whether or not the manufacturer executes innovation activities. This study concludes that the characteristics of Taiwan's industries are more important.
KW - Innovation model
KW - Innovation survey
KW - Polynomial regression
KW - Product innovation
UR - http://www.scopus.com/inward/record.url?scp=41749109376&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=41749109376&partnerID=8YFLogxK
U2 - 10.1504/IJVCM.2008.017742
DO - 10.1504/IJVCM.2008.017742
M3 - Article
AN - SCOPUS:41749109376
SN - 1741-5357
VL - 2
SP - 188
EP - 205
JO - International Journal of Value Chain Management
JF - International Journal of Value Chain Management
IS - 2
ER -