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A multiple regression model for patent appraisal
Journal article   Peer reviewed

A multiple regression model for patent appraisal

Jiang-Liang Hou and Hsiu-Yan Lin
Industrial Management and Data Systems, Vol.106(9), pp.1304-1332
2006

Abstract

Multiple regression analysis Patents Trade administration
Purpose: Concerning the general patent trading mechanism, this paper proposes a systematic patent appraisal model to provide patent transferors and transferees a reasonable price suggestion of the target patent. Design/methodology/approach: Based on the appraisal factors (including the patent transferor, patent transferee, patent features, and patent trading specifications) and regression model, a patent trading system is developed with an automatic patent appraisal function. Findings: Based on the case study, it is found that the system performance is better if the non-critical factors can be identified and dropped out from the appraisal model. Practical implications: The proposed model and platform can enhance patent trading performance and, therefore, the enterprise R&D tasks can be accomplished more efficiently. Originality/value: This study proposes quantitative models of patent appraisal factors and a multiple regression model for patent appraisal to present an automatic patent price determination mechanism. © Emerald Group Publishing Limited.

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