Using Software Patent Litigation Data to Identify High-Value Technology and Find Potential Partners M.B.A. Thesis
Joseph Lee, Using Software Patent Litigation Data to Identify High-Value Technology and Find Potential Partners . M.B.A. thesis, Graduate Institute of Technology Management NCHU, 2010
The following content is available on this site:
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- Abstract
- M.B.A. thesis (PDF document ~2Mb)
- Appendix Data Files
- International Conference on Information Management 2013 – Conference speaker and paper publication: Using Software Patent Litigation Data to Identify M&A Targets and Cooperative Partners: Taiwan Automaker Scenario
PDF File (~0.3 MB) - Monitoring Patent Litigation for the Purpose of Market Forecasting and Technology Road-Mapping in Software Related Industries
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Abstract
This thesis develops a model for using patent litigation data in conjunction with traditional patent value indicators such as patent age, Technology Cycle Time (TCT), citation index (CI), and patent scope to identify high value technological areas and potential cooperative partners. The model produces firm-centric value reports that focus on a particular firm’s strategic perspective. The purposes of these reports are to (1) aid technology forecasting and strategic planning, and (2) strategically identify and assess potential cooperative partners. Patent metrics are used to rank USPTO sub-classes and defendant firms. Three software-related scenarios (HTC, Luxgen and Big Data) have been used to test the efficacy of the model. The results of the reports are also analyzed to determine their viability.
