Gauging a Firm's Innovative Performance Using an Integrated Structural Index for Patents
Xiaojun Hu1; Ronald Rousseau2,3; Ronald Rousseau (E-mail: ronald.rousseau@kuleuven.be).
2016-03-16
Source PublicationJournal of Data and Information Science
Volume9Issue:1Pages:6-27
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.

;

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.

SubtypeResearch Papers
KeywordPatent Analysis Structural H-index Market Value Of Patents Technological Value Of Patents Pharmaceutical Industry Nested Case-control
Subject Area新闻学与传播学 ; 图书馆、情报与文献学
DOI10.20309/jdis.201603
URL查看原文
Indexed By其他
Project NumberThis work is supported by the National Natural Science Foundation of China (Grant Nos: 71173185 and 71573225).
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/8476
CollectionJournal of Data and Information Science_Journal of Data and Information Science-2016
Corresponding AuthorRonald Rousseau (E-mail: ronald.rousseau@kuleuven.be).
Affiliation1.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
First Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
Xiaojun Hu,Ronald Rousseau,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.
APA Xiaojun Hu,Ronald Rousseau,&Ronald Rousseau .(2016).Gauging a Firm's Innovative Performance Using an Integrated Structural Index for Patents.Journal of Data and Information Science,9(1),6-27.
MLA Xiaojun Hu,et al."Gauging a Firm's Innovative Performance Using an Integrated Structural Index for Patents".Journal of Data and Information Science 9.1(2016):6-27.
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