Abstract

This study examines how technology diversification is related to patent quality by using text-based analysis. Technology diversification is a type of a firm’s R&D strategy aimed at extending the scope of intellectual property rights and thereby expanding its influence on competitors in the technology-based market. Diversifying technology stock has the benefits of becoming nimble in the fast-changing technological environment and enabling firms to affect the entrance of new players in the market. However, technological diversification has the risk of failing to concentrate R&D resources, which likely results in producing only fragmented patents that are less impactful on subsequent technology. This study uses text-mining analysis to develop a content-based indicator that can effectively measure the level of technology diversification. This work also introduces lexical diversity and patent-stock heterogeneity based on term-matrix similarity and performs an analysis of their potential as a consistent measure for diversification level. Regression analyses using lexical diversity produces meaningful implications. The results show that unlike the classification-based approach, lexical diversity has a consistent and positive correlation with forward citations, which suggests that all other factors being equal, diversified patent stocks are likely to have more impact on future technology.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call