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Abstract
This study proposes a robust, data-driven
framework for optimizing global patent deployment strategies, focusing on hinge
technologies developed by the Watson Group. Drawing from 257 patent
applications across 30 jurisdictions, the research integrates macroeconomic and
intellectual property (IP) indicators with legal risk considerations. Unlike
traditional models, this study adopts the Analytic Hierarchy Process (AHP) to
derive weights for 11 strategic indicators, including GDP, patent activity, and
hinge-specific innovation trends. Furthermore, a Legal Risk Scoring (LRS) model
is introduced to evaluate jurisdictional enforceability and litigation
exposure. Countries are ranked based on composite scores and visualized through
a two-dimensional deployment matrix. Sensitivity analysis confirms model
stability under ±10% weight variation. Results highlight strategic
opportunities in Austria, Italy, and Brazil, while reinforcing continued
investment in the U.S., Germany, and Korea. The framework offers actionable
insights for IP managers and can be generalized to other technology sectors.
JEL classification numbers: 034.
Keywords: Patent Portfolio Strategy,
Analytic Hierarchy Process, Legal Risk Scoring, Hinge Technology, Global IP
Deployment.