Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object(SAO) structures.Design/methodology/approach: First, SAO structures were extracted fro...Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object(SAO) structures.Design/methodology/approach: First, SAO structures were extracted from patent documents and were cleaned. Second, several dimension-reduction techniques were used to generate technology topics. Then, the hierarchical relationships between technology topics were calculated based on patent clustering. Finally, technology evolution maps were drawn by adding a timeline.Findings: This approach can reveal technology evolution processes from multiple perspectives than other approaches.Research limitations: The semantic annotation of an SAO type is not very accurate and the semantic types of technology topics need to be enriched.Practical implications: The approach can be applied to draw technology evolution maps using different types of technology topics such as problem or solution.Originality/value: This approach offers an analytical dimension and more details than existing techniques, and it helps identify fundamental and emerging technologies more accurately and comprehensively.展开更多
Purpose:This research proposes a patent portfolio analysis model based on the legal status information to chart out a competitive landscape in a particular field,enabling organizations to position themselves within th...Purpose:This research proposes a patent portfolio analysis model based on the legal status information to chart out a competitive landscape in a particular field,enabling organizations to position themselves within the overall technology landscape.Design/methodology/approach:Three indicators were selected for the proposed model:Patent grant rate,valid patents rate and patent maintenance period.The model uses legal status information to perform a qualitative evaluation of relative values of the individual patents,countries or regions’ technological capabilities and competitiveness of patent applicants.The results are visualized by a four-quadrant bubble chart To test the effectiveness of the model,it is used to present a competitive landscape in the lithium ion battery field.Findings:The model can be used to evaluate the values of the individual patents,highlight countries or regions’ positions in the field,and rank the competitiveness of patent applicants in the field.Research limitations:The model currently takes into consideration only three legal status indicators.It is actually feasible to introduce more indicators such as the reason for invalid patents and the distribution of patent maintenance time and associate them with those in the proposed model.Practical implications:Analysis of legal status information in combination of patent application information can help an organization to spot gaps in its patent claim coverage,as well as evaluate patent quality and maintenance situation of its granted patents.The study results can be used to support technology assessment,technology innovation and intellectual property management.Originality/value:Prior studies attempted to assess patent quality or competitiveness by using either single patent legal status indicator or comparative analysis of the impacts of each indicator.However,they are insufficient in presenting the combined effects of the evaluation indicators.Using our model,it appears possible to get a more complete and objective picture of the current competitive situation.展开更多
Purpose： In this contribution we try to find new indicators to measure characteristics of a finn＇s patents and their influence on a company＇s profits. Design/methodology/approach： We realize that patentevaluation ...Purpose： In this contribution we try to find new indicators to measure characteristics of a finn＇s patents and their influence on a company＇s profits. Design/methodology/approach： We realize that patentevaluation 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.展开更多
Purpose:Using the metaphor of"unicorn,"we identify the scientific papers and technical patents characterized by the informetric feature of very high citations in the first ten years after publishing,which ma...Purpose:Using the metaphor of"unicorn,"we identify the scientific papers and technical patents characterized by the informetric feature of very high citations in the first ten years after publishing,which may provide a new pattern to understand very high impact works in science and technology.Design/methodology/approach:When we set CT as the total citations of papers or patents in the first ten years after publication,with CT≥5,000 for scientific"unicorn"and CT≥500 for technical"unicorn,"we have an absolute standard for identifying scientific and technical"unicorn"publications.Findings:We identify 165 scientific"unicorns"in 14,301,875 WoS papers and 224 technical"unicorns"in 13,728,950 DII patents during 2001–2012.About 50%of"unicorns"belong to biomedicine,in which selected cases are individually discussed.The rare"unicorns"increase following linear model,the fitting data show 95%confidence with the RMSE of scientific"unicorn"is 0.2127 while the RMSE of technical"unicorn"is 0.0923.Research limitations:A"unicorn"is a pure quantitative consideration without concerning its quality,and"potential unicorns"as CT≤5,000 for papers and CT≤500 for patents are left in future studies.Practical implications:Scientific and technical"unicorns"provide a new pattern to understand high-impact works in science and technology.The"unicorn"pattern supplies a concise approach to identify very high-impact scientific papers and technical patents.Originality/value:The"unicorn"pattern supplies a concise approach to identify very high impact scientific papers and technical patents.展开更多
Recent studies in complexity science have uncovered temporal regularities in the dynamics of impact along scientific and other creative careers, but they did not extend the obtained insights to firms. In this paper, w...Recent studies in complexity science have uncovered temporal regularities in the dynamics of impact along scientific and other creative careers, but they did not extend the obtained insights to firms. In this paper, we show that firms' technological impact patterns cannot be captured by the state-of-the-art dynamical models for the evolution of scientists' research impact, such as the Q model. Therefore, we propose a time-varying returns model which integrates the empiricallyobserved relation between patent order and technological impact into the Q model. The proposed model can reproduce the timing pattern of firms' highest-impact patents accurately. Our results shed light on modeling the differences behind the impact dynamics of researchers and firms.展开更多
文摘Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object(SAO) structures.Design/methodology/approach: First, SAO structures were extracted from patent documents and were cleaned. Second, several dimension-reduction techniques were used to generate technology topics. Then, the hierarchical relationships between technology topics were calculated based on patent clustering. Finally, technology evolution maps were drawn by adding a timeline.Findings: This approach can reveal technology evolution processes from multiple perspectives than other approaches.Research limitations: The semantic annotation of an SAO type is not very accurate and the semantic types of technology topics need to be enriched.Practical implications: The approach can be applied to draw technology evolution maps using different types of technology topics such as problem or solution.Originality/value: This approach offers an analytical dimension and more details than existing techniques, and it helps identify fundamental and emerging technologies more accurately and comprehensively.
基金supported by the Chinese Academy of Sciences(Grant No.:Y110071001)
文摘Purpose:This research proposes a patent portfolio analysis model based on the legal status information to chart out a competitive landscape in a particular field,enabling organizations to position themselves within the overall technology landscape.Design/methodology/approach:Three indicators were selected for the proposed model:Patent grant rate,valid patents rate and patent maintenance period.The model uses legal status information to perform a qualitative evaluation of relative values of the individual patents,countries or regions’ technological capabilities and competitiveness of patent applicants.The results are visualized by a four-quadrant bubble chart To test the effectiveness of the model,it is used to present a competitive landscape in the lithium ion battery field.Findings:The model can be used to evaluate the values of the individual patents,highlight countries or regions’ positions in the field,and rank the competitiveness of patent applicants in the field.Research limitations:The model currently takes into consideration only three legal status indicators.It is actually feasible to introduce more indicators such as the reason for invalid patents and the distribution of patent maintenance time and associate them with those in the proposed model.Practical implications:Analysis of legal status information in combination of patent application information can help an organization to spot gaps in its patent claim coverage,as well as evaluate patent quality and maintenance situation of its granted patents.The study results can be used to support technology assessment,technology innovation and intellectual property management.Originality/value:Prior studies attempted to assess patent quality or competitiveness by using either single patent legal status indicator or comparative analysis of the impacts of each indicator.However,they are insufficient in presenting the combined effects of the evaluation indicators.Using our model,it appears possible to get a more complete and objective picture of the current competitive situation.
基金supported by the National Natural Science Foundation of China(Grant Nos:71173185 and 71573225)
文摘Purpose： In this contribution we try to find new indicators to measure characteristics of a finn＇s patents and their influence on a company＇s profits. Design/methodology/approach： We realize that patentevaluation 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.
基金National Natural Science Foundation of China Grant No.71673131Jiangsu Key Laboratory Fundsupport from the International Joint Informatics Laboratory operated cooperatively by the University of Illinois at Urbana-Champaign,USA and Nanjing University,China。
文摘Purpose:Using the metaphor of"unicorn,"we identify the scientific papers and technical patents characterized by the informetric feature of very high citations in the first ten years after publishing,which may provide a new pattern to understand very high impact works in science and technology.Design/methodology/approach:When we set CT as the total citations of papers or patents in the first ten years after publication,with CT≥5,000 for scientific"unicorn"and CT≥500 for technical"unicorn,"we have an absolute standard for identifying scientific and technical"unicorn"publications.Findings:We identify 165 scientific"unicorns"in 14,301,875 WoS papers and 224 technical"unicorns"in 13,728,950 DII patents during 2001–2012.About 50%of"unicorns"belong to biomedicine,in which selected cases are individually discussed.The rare"unicorns"increase following linear model,the fitting data show 95%confidence with the RMSE of scientific"unicorn"is 0.2127 while the RMSE of technical"unicorn"is 0.0923.Research limitations:A"unicorn"is a pure quantitative consideration without concerning its quality,and"potential unicorns"as CT≤5,000 for papers and CT≤500 for patents are left in future studies.Practical implications:Scientific and technical"unicorns"provide a new pattern to understand high-impact works in science and technology.The"unicorn"pattern supplies a concise approach to identify very high-impact scientific papers and technical patents.Originality/value:The"unicorn"pattern supplies a concise approach to identify very high impact scientific papers and technical patents.
基金Project supported by the National Natural Science Foundation of China (Grant Nos. 61673150 and 11622538)financial support from the URPP Social Networks at the University of Zurich+1 种基金the UESTC professor research start-up (Grant No. ZYGX2018KYQD215)the Science Strength Promotion Programme of UESTC,Chengdu。
文摘Recent studies in complexity science have uncovered temporal regularities in the dynamics of impact along scientific and other creative careers, but they did not extend the obtained insights to firms. In this paper, we show that firms' technological impact patterns cannot be captured by the state-of-the-art dynamical models for the evolution of scientists' research impact, such as the Q model. Therefore, we propose a time-varying returns model which integrates the empiricallyobserved relation between patent order and technological impact into the Q model. The proposed model can reproduce the timing pattern of firms' highest-impact patents accurately. Our results shed light on modeling the differences behind the impact dynamics of researchers and firms.
