Author
Listed:
- Hsu-Chuan Chang
- Dar-Zen Chen
- Chun-Chieh Wang
- Mu-Hsuan Huang
- Chung-Huei Kuan
Abstract
In order to study the impact of government funding on the R%D strategy of enterprises, and explore whether the innovative development of enterprises is driven away by government policies. In this study, an evaluation method and analytical model were developed to investigate the perspective of companies that are highly receptive to funding. We focused on the top 30 companies which received substantial government funding. Specifically, this study analysed the first cooperative patent classification (CPC) with government-interest (GI) patents constituting more than 1% of all GI patents. To investigate the aforementioned characteristics and classify each company accordingly, the number and citation status of GI and non-GI patents were also compared within each company's technological domain. Assessment of patent concentration, number, and influence revealed that individual enterprises employ diverse implementation practices and R%D strategies when obtaining patents through government funding. In conclusion, this study presents a well-defined classification model for enterprise types. The proposed four-quadrant framework not only aids the government in identifying suitable partners and determining optimal funding allocation but also assists enterprises in assessing their current status and strategic positioning.
Suggested Citation
Hsu-Chuan Chang & Dar-Zen Chen & Chun-Chieh Wang & Mu-Hsuan Huang & Chung-Huei Kuan, 2026.
"Classifying R%D strategies in highly funded enterprises: insights from USA government-interest patents,"
International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 20(1), pages 52-78.
Handle:
RePEc:ids:ijisde:v:20:y:2026:i:1:p:52-78
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