کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5036908 | 1472384 | 2017 | 10 صفحه PDF | دانلود رایگان |
- We suggest a novel method to forecast promising technology through patent analysis.
- CPC-based technology clusters are formed.
- The promise of technology clusters is evaluated by analyzing patent indicators.
- For the validation process, telemedicine technology is forecasted as the promising technology of wellness care fields.
Forecasting promising technology is a relevant opportunity for management of companies and countries. Furthermore, researchers in research and development (R&D) have recently considered that patents include detailed information on developed technologies. For these reasons, we suggest a novel approach to forecasting PT using patent analysis. The overall process of the proposed methodology consists of three steps. First, to form technology clusters, we clustered patent documents on the basis of the cooperative patent classification (CPC), which represents a more detailed technology classification system than the international patent classification (IPC). Second, regarding the process of defining technology clusters, we examined the combination of CPCs of each formed clusters. Finally, patent indicators such as forward citations, triadic patent families, and independent claims are analyzed to assess whether the technology clusters are promising. We collected patent data on the wellness care industry from the United States Patent and Trademark Office (USPTO) to verify the proposed methodology.
Journal: Technological Forecasting and Social Change - Volume 117, April 2017, Pages 228-237