Considering Corporate Strategies with Self-Organizing Patent Maps and Decision Making with AHP
Previously, we proposed an approach for corporate decision making with self-organizing patent maps labeled by technical terms and AHP. First, we extracted keywords by text mining to transform patent documents into feature vectors of the companies. Second, we inputted the feature matrix of technical terms and company names into self-organizing maps to create patent maps labeled by the technical terms. Then, we considered several corporate strategies utilizing the patent maps and made a decision with AHP. We applied our approach to two patent areas (information home appliance and 3D image) to show examples of corporate decision making. However, it was unclear how to derive corporate strategies in our previous work. In this paper, we propose an approach for considering corporate strategies with self-organizing patent maps labeled by technical terms. Then, we applied our approach to two other patent areas (mobile phone and organic electro-luminescence display) to show examples of considering corporate strategies and decision making with AHP.
Kohara, Kazuhiro and Maeda, Yuuki, "Considering Corporate Strategies with Self-Organizing Patent Maps and Decision Making with AHP" (2015). CONF-IRM 2015 Proceedings. 39.