Quantifying the Process of Patent Right Quality Evaluation : Combined Application of AHP, Text Mining and Regression Analysis

• 발행기관: 한국산업경영시스템학회
• 저자명: 윤장혁 송재국 한국지식재산연구원
• 간행물 정보: 『산업경영시스템학회지』제38권 제2호, 17~30쪽, 전체 14쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2015.06.30

영문 초록

Technology-oriented national R&D programs produce intellectual property as their final result. Patents, as typical industrial intellectual property, are therefore considered an important factor when evaluating the outcome of R&D programs. Among the main components of patent evaluation, in particular, the patent right quality is a key component constituting patent value, together with marketability and usability. Current approaches for patent right quality evaluation rely mostly on intrinsic knowledge of patent attorneys, and the recent rapid increase of national R&D patents is making expert-based evaluation costly and time-consuming. Therefore, this study defines a hierarchy of patent right quality and then proposes how to quantify the evaluation process of patent right quality by combining text mining and regression analysis. This study will contribute to understanding of the systemic view of the patent right quality evaluation, as well as be an efficient aid for evaluating patents in R&D program assessment processes.

목차

1. Introduction

2. Groundwork

3. Expert Group

4. Research Framework

5. Evaluating the Patent Right Quality of IT-Related National R&D Program

6. Conclusions and Challenges Remaining

키워드

Patent Right Quality Program Evaluation Analytic Hierarchy Process Text Mining Regression Analysis