中国科学院文献情报中心机构知识库
Advanced  
NSL OpenIR  > Journal of Data and Information Science  > Journal of Data and Information Science-2016  > 期刊论文
Title: Gauging a Firm's Innovative Performance Using an Integrated Structural Index for Patents
Author: Xiaojun Hu1; Ronald Rousseau2,3
Source: Journal of Data and Information Science
Issued Date: 2016-03-16
Volume: 9, Issue:1, Pages:6-27
Keyword: Patent analysis ; Structural h-index ; Market value of patents ; Technological value of patents ; Pharmaceutical industry ; Nested case-control
Subject: 新闻学与传播学 ; 图书馆、情报与文献学
Indexed Type: 其他
DOI: 10.20309/jdis.201603
Corresponding Author: Ronald Rousseau (E-mail: ronald.rousseau@kuleuven.be).
DOC Type: Research Papers
Abstract:

Purpose: In this contribution we try to find new indicators to measure characteristics of a firm's patents and their influence on a company's profits.

Design/methodology/approach: We realize that patent evaluation and influence on a company's profits is a complicated issue requiring different perspectives. For this reason we design two types of structural h-indices, derived from the International Patent Classification (IPC). In a case study we apply not only basic statistics but also a nested case-control methodology.

Findings: The resulting indicator values based on a large dataset (19,080 patents in total) from the pharmaceutical industry show that the new structural indices are significantly correlated with a firm's profits.

Research limitations: The new structural index and the synthetic structural index have just been applied in one case study in the pharmaceutical industry.

Practical implications: Our study suggests useful implications for patentometric studies and leads to suggestions for different sized firms to include a healthy research and development (R&D) policy management. The structural h-index can be used to gauge the profits resulting from the innovative performance of a firm's patent portfolio.

Originality/value: Traditionally, the breadth and depth of patents of a firm and their citations are considered separately. This approach, however, does not provide an integrated insight in the major characteristics of a firm's patents. The Sh(Y) index, proposed in our investigation, can reflect a firm's innovation activities, its technological breadth, and its influence in an integrated way.

English Abstract:

Purpose: In this contribution we try to find new indicators to measure characteristics of a firm's patents and their influence on a company's profits.

Design/methodology/approach: We realize that patent evaluation and influence on a company's profits is a complicated issue requiring different perspectives. For this reason we design two types of structural h-indices, derived from the International Patent Classification (IPC). In a case study we apply not only basic statistics but also a nested case-control methodology.

Findings: The resulting indicator values based on a large dataset (19,080 patents in total) from the pharmaceutical industry show that the new structural indices are significantly correlated with a firm's profits.

Research limitations: The new structural index and the synthetic structural index have just been applied in one case study in the pharmaceutical industry.

Practical implications: Our study suggests useful implications for patentometric studies and leads to suggestions for different sized firms to include a healthy research and development (R&D) policy management. The structural h-index can be used to gauge the profits resulting from the innovative performance of a firm's patent portfolio.

Originality/value: Traditionally, the breadth and depth of patents of a firm and their citations are considered separately. This approach, however, does not provide an integrated insight in the major characteristics of a firm's patents. The Sh(Y) index, proposed in our investigation, can reflect a firm's innovation activities, its technological breadth, and its influence in an integrated way.

Project Number: This work is supported by the National Natural Science Foundation of China (Grant Nos: 71173185 and 71573225).
Related URLs: 查看原文
Language: 英语
Citation statistics:
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/8476
Appears in Collections:Journal of Data and Information Science_Journal of Data and Information Science-2016 _期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
20160103.pdf(1165KB)期刊论文出版稿开放获取View Download

description.institution: 1.Medical Information Center, Zhejiang University School of Medicine, Hangzhou 310058, China
2.Department of Mathematics, KU Leuven, Leuven B-3000, Belgium
3.Information and Library Science (IBW), University of Antwerp (UA), Antwerp B-2000, Belgium

Recommended Citation:
Xiaojun Hu,Ronald Rousseau. Gauging a Firm's Innovative Performance Using an Integrated Structural Index for Patents[J]. Journal of Data and Information Science,2016,9(1):6-27.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Xiaojun Hu]'s Articles
[Ronald Rousseau]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Xiaojun Hu]‘s Articles
[Ronald Rousseau]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: 20160103.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院文献情报中心 - Feedback
Powered by CSpace