The nonlinear innovation model of the electronics industry in Taiwan

Yi Hsu, Li Kung Chen, Yun Peng Chu, Ben Chang Shia

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)188-205
Number of pages18
JournalInternational Journal of Value Chain Management
Issue number2
Publication statusPublished - Mar 2008


  • Innovation model
  • Innovation survey
  • Polynomial regression
  • Product innovation

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Strategy and Management


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