바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

특허 인용에 영향을 미치는 요인 분석

Analysis of Factors Influencing Patent Citations

정보관리학회지 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2010, v.27 no.1, pp.103-118
https://doi.org/10.3743/KOSIM.2010.27.1.103
유재복 (한국원자력연구원)
정영미 (연세대학교)
  • 다운로드 수
  • 조회수

초록

최근 특허기술의 가치평가가 크게 강조되고 있으며, 그 평가의 수단으로 특허의 피인용횟수가 매우 유용한 척도 중의 하나로 받아들여지고 있다. 그에 따라 이 연구에서는 특허의 피인용횟수와 이에 영향을 미칠만한 형태적․기술적․개념적 요인의 17개 변수들 간의 상관관계를 미국특허를 대상으로 5개 주제분야에 걸쳐 분석하였다. 분석결과 특허의 피인용횟수와 일정 수준 이상의 상관관계, 즉 5% 이상의 설명력을 갖는 변수는 페이지 수, 청구항 수, 참고문헌 평균 피인용횟수, 기술분야 특허증감율, 서지결합도, 동시인용도 및 문헌간유사도 등 7개로 나타났다. 또한 이들 변수에 대한 분산분석 결과 7개 변수 모두 전반적으로 대부분의 주제분야 간에 있어서 평균값의 차이가 있는 것으로 나타났다.

keywords
patent citations, citation analysis, patent citation counts, factors influencing patent citation, patent citations, citation analysis, patent citation counts, factors influencing patent citation, 특허인용, 인용분석, 특허 피인용횟수, 특허인용 영향요인

Abstract

Recently, the valuation of patented technology has been greatly emphasized, and patent citation has been accepted as a very useful index of this technology. In this study, we performed correlation analyses between the patent citation counts and 17 explanatory variables of morphological, technological, and conceptual factors with a test dataset of U.S. patents in five subject fields. Seven variables having 5% or more standardized variances(r2) with patent citation counts were identified; number of pages, number of claims, reference-average-citation rate, patent increase/decrease rate, strength of bibliographic coupling, co-citation counts and document similarity. The result of the ANOVA test shows that the mean values of these variables vary among most subject fields.

keywords
patent citations, citation analysis, patent citation counts, factors influencing patent citation, patent citations, citation analysis, patent citation counts, factors influencing patent citation, 특허인용, 인용분석, 특허 피인용횟수, 특허인용 영향요인

참고문헌

1.

노경란. (2006). 특허분석을 통한 과학기술자의 과학논문 인용행태에 관한 연구.

2.

Dutta, S.. (1997). The relationship between a firm's level of technological innovativeness and its pattern of partnership agreements. Management Science, 43(3), 343-356.

3.

Hall, B. H.. (2001). The NBER patent citation data file: lessons, insights and methodological tools. National Bureau of Economic Research.

4.

Iversen, E. J.. (2000). An excursion into the patent-bibliometrics of Norwegian patenting. Scientometrics, 49(1), 63-80.

5.

Lanjouw, J. O.. (2004). Patent quality and research productivity: measuring innovation with multiple indicators. The Economic Journal, 114(495), 441-465.

6.

Yong-Gil Lee. (2006). An Analysis of Citation Counts of ETRI-Invented US Patents. ETRI Journal, 28(4), 541-544.

7.

Lin, Bou-Wen. (2007). Predicting citations to biotechnology patents based on the information from the patent documents. International Journal of Technology Management, 40(1), 87-100.

8.

Moorman, C.. (1999). The contingency value of complementary capabilities in product development. Journal of Marketing Research, 36(2), 239-257.

9.

Narin, F.. (1984). Technological performance assessments based on patents and patent citations. IEEE Transactions on Engineering Management, 36(2), 172-183.

10.

Narin, F.. (1997). The increasing linkage between US technology and public science. Research Policy, 26(3), 317-330.

11.

Trajtenberg, M.. (1990). A penny for your quotes: Patent citations and the value of innovations. The Rand Journal of Economics, 21(1), 172-187.

정보관리학회지