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1
Daines, Gregory P. "Patent citations and licensing value." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39530.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2007.Includes bibliographical references (leaves 68-71).
Innovation has become the dominant economic idea of our time and has resulted in a proliferation of innovation-oriented rhetoric, and policies. There is a great need to understand and harness innovation, but it has proven to be as difficult to measure as it is to define. At present, the quest to understand innovation hinges on finding reliable ways to identify and measure it, the most promising of which is the analysis of patent information. Patents have been increasingly used by economists to track inventiveness, the transmission of knowledge, and their economic impact. However, it is evident that the maiority of patents have little or no economic potential, and so merely observing the number of patents provides little insight on innovation. It has become important, therefore, to develop reliable methods for measuring the true economic potential of patents. Of all the solutions proposed, the analysis of patent citations is the most promising. This study examines the relationship between patent citations and the private economic value of patents, and makes both theoretical and empirical contributions.
(cont.) First, the previous literature is reviewed to further extend and clarify the theory of the economic meaning of patent citations. Second, a typology of patent value is proposed to contextualize the relevance of the theory under different appropriation regimes. Finally, this study tests the economic meaning of citations using a new dataset where the licensing value of a group of patents is observed directly. The findings confirm a consistent relationship between patent citations and two different measures of patent value.
by Gregory P. Daines.
M.B.A.
2
Dolev, Uryia. "Exploring the Importance of Innovations with Patent Citations." Thesis, University of Canterbury. Economics, 2007. http://hdl.handle.net/10092/867.
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This thesis begins by outlining the theoretical and empirical foundations of the economics of innovations. It then proceeds by analysing four econometric issues in the measurement of technological knowledge embedded in patented innovations and modelling the statistical relationship of the value of patented innovations originating in the G-5 countries overtime. This thesis contributes to the economics of innovation literature in four areas: (1) a comprehensive review of the proxies available to elicit the value embodied in patented inventions (2) a direct comparison of regression estimates based on citations count dependent variable versus citations-weighted dependent variable (3) an introduction and application of Regression Tree and Graphical Modelling methodologies to model patented inventions (4) estimation of the fluctuations and associations in the values of patented innovation in the G-5 countries using patent citations.
3
Meldrum, Mark Brent. "Finding Fertile Time: A Temporal Investigation of Opportunity Using Patent Citation Data." Cleveland, Ohio : Case Western Reserve University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1248046746.
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Thesis(Ph.D.)--Case Western Reserve University, 2009Title from PDF (viewed on 2009-11-23) Department of Management Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
4
Chauhan, Lokendra Pratap Singh. "Modelling stock market performance of firms as a function of the quality and quantity of intellectual property owned." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16218.
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This thesis attempts to analyze a part of the big and complex process of how intellectual
property ownership and technological innovation influence the performance of firms and
their revenues. Here I analyze a firm's stock market performance as a function of the
quantity and quality of intellectual property (patents) owned by the firm in context of the
three US high-technology sectors, Pharmaceuticals, Semiconductors and Wireless. In
these sectors, value of a firm is predominantly driven by the technologies which a firm
owns. I use citation based indicators and number of claims to measure the quality of
patents. This research presents empirical evidence for the hypothesis that in high-tech
sectors, companies which generate better quality intellectual property perform better than
average in the stock market. I also posit that firms which are producing better quality
technologies (good R&D) invest more in R&D regardless of their market performance.
Furthermore, though smaller firms get relatively less returns on quality and quantity of
innovation, they tend to invest a bigger fraction of their total assets in R&D when they
are generating high quality patents. Larger firms enjoy the super-additivity effects in
terms of market performance as the same intellectual property gives better returns to
them. In addition, returns to R&D are relatively higher in the pharmaceutical industry
than semiconductor or wireless industries.
5
Aldieri, Luigi. "Three essays on knowledge diffusion and firms' economic performance." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209840.
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In this research, our main goal rests in the analysis of the main determinants and the features of output performance of firms. First, we will investigate the direct and the indirect effects (spillovers) of Research and Development (R&D) investments on firms’ total factor productivity growth. To that end, we begin by estimating the returns to R&D by using international micro level data, as first proposed in Griliches (1979). We quantify the effects on firms’ productivity of exogenous variations in the state of technology and of the R&D of other firms (R&D spillovers, Jaffe, 1986). Second, we will try to take into account the firms’ ability to identify, assimilate and exploit existing information, that is their absorptive capacity (Cohen, Levinthal 1989). We assume that the elasticity of output (or value added) to national or foreign stock of spillovers depend on the chosen measure of Absorptive Capacity, which generally is represented by own R&D capital. The positive effect of the interaction between own R&D capital and the spillover pool term indicates the firm ability to absorb new ideas from outside, while its negative effect gives evidence of necessity to invest more in own R&D. Third, we will explore the question whether geographic and technological proximities affect the knowledge flows, proxied by patent citations for large international firms and how these effects change over time. We expect that the geographical proximity impact on knowledge flows is decreasing over time, since information travels at lower communication costs over time (Coyle, 1997 and Friedman, 2005). Yet, according to Evans and Harringan (2005), distance is still relevant in some technological sectors, where face-to-face interaction is fundamental and knowledge is tacit and hard to codify. Then, it is also interesting to analyse the impact of technological proximity on knowledge flows over time.Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished
6
Garanasvili, Antanina. "Essays on the Economics of Intellectual Property." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3423280.
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Abstract Chapter 1
The European Patent System (EPS) consists of National Offices and the European Patent Office (EPO). The complexity of the system is mirrored in the complexity of strategic options available to patentees when selecting the route of patenting. To date there is little evidence on how firms choose between EPO and national offices, nor which parameters influence this choice. The paper provides a recursive model of the two principal choices made by patent applicants: the selection of examining offices and of jurisdictions in which patent protection is obtained. We then derive and estimate instrumental variables models to establish the relative importance of fees, grant rates, examination duration and firm and patent characteristics in these choices. We identify sectors and types of firms that predominantly rely on the national offices or the EPO. We also identify significant levels of switching, driven by variation in grant rates across offices and by fee changes as well as variation in the duration of examination. We discuss implications of our work for theoretical and empirical analyses of patent systems.
Abstract Chapter 2
Aim of this analysis is to study whether the global financial crisis of 2008 had a significant effect on how stock markets value firms’ investments in knowledge and branding as well as complementary investments in patents and trademarks. Building on data from European Intellectual Property Office (EUIPO) and European Patent Office (EPO) we construct a firm panel covering R&D, marketing and IP investments over the period 2005-2012. In addition, we estimate market value equations for the years 2005-2008 and 2009-2012. Empirical findings suggest that there are interesting differences in which investments contributed to market value before and after 2008. First, investments in R&D contribute far more significantly to the market value after the crisis than before. Second, it becomes apparent that after the crisis patent quality arises as a significant factor which increases value of the companies. At the same time patent quantity ceases to be an influencing factor in the market value equation after 2008.-
7
Pillu, Hugo. "Knowledge flows through patent citation data." Phd thesis, Ecole Centrale Paris, 2009. http://tel.archives-ouvertes.fr/tel-00458678.
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Dans cette thèse, nous analysons les différents aspects des externalités de connaissance et la façon dont les citations de brevet peuvent être utilisées comme un indicateur de ces flux. La première partie de cette thèse examine la littérature traditionnelle sur les externalités de connaissance, et cela d'un point de vue à la fois qualitatif et quantitatif (la forme quantitative est réalisée grâce à une méta-analyse). Nous insistons sur les conséquences résultant de l'utilisation de différents canaux de mesure de ces externalités, précisément nous nous attardons sur les hypothèses sous-jacentes et sur leurs implications en termes d'estimations empiriques. Ce point est important car ces canaux sont la principale source d'hétérogénéité des résultats empiriques. Dans la seconde partie, nous explorons des données de brevets et de citations de brevet encore peu étudiées (ces données sont extraites de la base de données Patstat pour les offices de brevets du G5, de l'OEB et de l'OMPI). Cette analyse est à nouveau réalisée à la fois en termes qualitatifs et quantitatifs. La troisième partie, dans un premier temps, examine de façon empirique les caractéristiques des flux de connaissance entre et au sein des inventeurs des pays du G5 et cela pour 13 secteurs industriels. Dans un deuxième temps, cette partie propose et valide la création d'un indicateur de stocks de connaissance qui prend en compte les externalités de connaissance internationales. Cet indicateur se révèle particulièrement utile puisque les indicateurs traditionnels ne sont pas toujours disponibles (comme les indicateurs basés sur les dépenses de R&D). Enfin, l'indicateur précédemment créé sera appliqué à une étude de cas consacrée à l'analyse des déterminants de l'innovation pour les technologies énergétiques efficientes.
8
Reichling, Peter, and P. G. Pererva. "Estimation of commercial value of patents." Thesis, NTU "KhPI", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/34948.
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Based on our analysis of approaches to citing patents and their use as a factor in the commercial value of the results of creative activity, in our opinion, it is extremely important to determine the valuation of a patent and to forecast its commercial potential. Traditional approaches to determining the valuation of intellectual property are well known, but they do not take into account, in our opinion, an extremely important component that is related to the patent citation index.
9
Aduku, Kuku J. "Can web indicators be used to estimate the citation impact of conference papers in engineering?" Thesis, University of Wolverhampton, 2019. http://hdl.handle.net/2436/622102.
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Although citation counts are widely used to support research evaluation, they can only reflect academic impacts, whereas research can also be useful outside academia. There is therefore a need for alternative indicators and empirical studies to evaluate them. Whilst many previous studies have investigated alternative indicators for journal articles and books, this thesis explores the importance and suitability of four web indicators for conference papers. These are readership counts from the online reference manager Mendeley and citation counts from Google Patents, Wikipedia and Google Books. To help evaluate these indicators for conference papers, correlations with Scopus citations were evaluated for each alternative indicator and compared with corresponding correlations between alternative indicators and citation counts for journal articles. Four subject areas that value conferences were chosen for the analysis: Computer Science Applications; Computer Software Engineering; Building & Construction Engineering; and Industrial & Manufacturing Engineering. There were moderate correlations between Mendeley readership counts and Scopus citation counts for both journal articles and conference papers in Computer Science Applications and Computer Software. For conference papers in Building & Construction Engineering and Industrial & Manufacturing Engineering, the correlations between Mendeley readers and citation counts are much lower than for journal articles. Thus, in fields where conferences are important, Mendeley readership counts are reasonable impact indicators for conference papers although they are better impact indicators for journal articles. Google Patent citations had low positive correlations with citation counts for both conference papers and journal articles in Software Engineering and Computer Science Applications. There were negative correlations for both conference papers and journal articles in Industrial and Manufacturing Engineering. However, conference papers in Building and Construction Engineering attracted no Google Patent citations. This suggests that there are disciplinary differences but little overall value for Google Patent citations as impact indicators in engineering fields valuing conferences. Wikipedia citations had correlations with Scopus citations that were statistically significantly positive only in Computer Science Applications, whereas the correlations were not statistically significantly different from zero in Building & Construction Engineering, Industrial & Manufacturing Engineering and Software Engineering. Conference papers were less likely to be cited in Wikipedia than journal articles were in all fields, although the difference was minor in Software Engineering. Thus, Wikipedia citations seem to have little value in engineering fields valuing conferences. Google Books citations had positive significant correlations with Scopus-indexed citations for conference papers in all fields except Building & Construction Engineering, where the correlations were not statistically significantly different from zero. Google Books citations seemed to be most valuable impact indicators in Computer Science Applications and Software Engineering, where the correlations were moderate, than in Industrial & Manufacturing Engineering, where the correlations were low. This means that Google Book citations are valuable indicators for conference papers in engineering fields valuing conferences. Although evidence from correlation tests alone is insufficient to judge the value of alternative indicators, the results suggest that Mendeley readers and Google Books citations may be useful for both journal articles and conference papers in engineering fields that value conferences, but not Wikipedia citations or Google Patent citations.
10
Biglu, Mohammad Hossein. "Scientometric study of patent literature in MEDLINE & SCI." Doctoral thesis, Humboldt-Universität zu Berlin, Philosophische Fakultät I, 2008. http://dx.doi.org/10.18452/15735.
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Die Studie wird in fünf Teile unterteilt: Das erste Kapitel beschäftigt sich mit Patentanmeldungen und geförderten Patenten im USPTO, WIPO, und EPO. In diesem Kapitel wird die Korrelation zwischen dem BIP und der länderspezifischen Patentanzahl analysiert. Das zweite Kapitel gibt einen Überblick über die Literatur über Patente in MEDLINE. In diesem Kapitel wird eine szientometrische Analyse durchgeführt, damit die Entwicklung der Patentliteratur in MEDLINE über den Zeitraum von 1965 bis 2005 quantitativ gemessen werden kann. Das dritte Kapitel befasst sich mit der Literatur über Patente im SCI. In diesem Kapitel werden alle Dokumente, die vom SCI über den Zeitraum 1965 bis 2005 als “Patents“ indexiert wurden, unter die Lupe genommen. Das vierte Kapitel analysiert die Patenten, die im SCI zitiert werden. Das fünfte Kapitel analysiert die Anzahl der Literaturhinweise (Referenzen) pro Veröffentlichung im SCI über den Zeitraum 1970-2005. In diesem Hinblick wurde eine Gesamtzahl von 10,000 Dokumenten pro Jahr ausgesucht sowie der Bedeutungswert von Nennungen pro Zeitschrift berechnet. Die Analyse der Daten ergab: Die USA sind das führende Land bezüglich der Erstellung und der Zulassung von Patenten, gleichermaßen gefolgt von Japan und Deutschland. Die Halbwertszeit der Zitierung von Patenten beträgt seit 1994 konstant 8,1 Jahre. Das ist eine 41% längere Zitierungsrate gegenüber den allgemeinen wissenschaftlichen Dokumenten im SCI. Es gibt eine lineare Korrelation zwischen der Zahl von Literaturhinweisen (Referenzen) in einem Journal, wie sie im SCI erfasst sind, und der Wahrscheinlichkeit zitiert zu werden. Die Anzahl der Literaturhinweise (Referenzen) pro Veröffentlichung zwischen 1970 und 2005 im SCI ist ständig angestiegen. Die Selbstzitation von Zeitschriften bei einer steigenden Zahl von Verweisen beeinflusst die Steigerung des Impact Factor im SCI. Die Leitartikelpolitik der Sprachen wurde in der MEDLINE und im SCI geändert.This study is divided into five sections. The first section consists of patent applications and granted patents issued by USPTO, WIPO), and EPO. In this section the relationship between the GDP and country’s patent quantity is analysed. The second section analysis the patent literature in MEDLINE. In this section a scientometric analysis is performed to assess the quantitative trend of patent literature in MEDLINE throughout 1965-2005. The third section analysis the patent literature in the SCI. In this section all documents indexed as a topic of “patents” in the SCI throughout 1965-2005 are analysed. The fourth section analysis the citations to the patent documents indexed in the SCI, and illustrate the average number of cited references per paper for patent citing documents. The fifth section analysis the references per paper in the SCI through 1970-2005. The Analyses of data showed: The USA is the leading country filing and granting patents followed by Japan and Germany respectively. The half-life of citations to the patent-documents is 41% higher than the half-life of citations to the general scientific documents in the SCI. The number of references per paper from 1970 to 2005 has steadily increased. The rough constant percentage of self-citation of journals and the growing increase of references per paper led to the absolute growing number of self-citations and to the increase of the Impact Factor of the citing journals in the SCI. The editorial policy of languages is being changed in MEDLINE and in the SCI. The consideration of policy makers in these databases have been focused on the literature of science in English. There was a tendency in the last decades towards collaboration in scientific publishing with American authors that can be observed in the SCI with authors from different countries.
11
Weathers, Jamie. "Essays on Corporate Innovation." Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/403878.
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Business Administration/FinancePh.D.
This dissertation empirically explores the facets of corporate innovation in the firm and the ultimate effects on firm value. In the first chapter I identify firm innovation as a new channel by which employee treatment affects firm value. Growth and innovation incentive theories support positive effects of “good” employee treatment on innovation. Alternatively, entrenchment theory suggests such treatment will lead to complacency and shirking, hence deterring innovation. These opposing views merit investigation since in the “new economy”, human capital is increasingly essential to firm value and the growth and success of a firm has become more reliant on corporate innovation. Using the KLD Research & Analytics, Inc. SOCRATES database and newly acquired patent/citation data, I find an overall significant positive relationship between positive employee treatment and innovation quantity (patents) and quality (citations per patent); both measures are significantly correlated to firm value in the literature. Furthermore, I find that favorable employee treatment improves innovation focus – innovation projects more related to firms’ core business. These findings, robust to an alternate data source and endogeneity concerns, are consistent with the theories of growth and innovation incentive and suggest corporate innovation represents a channel by which employee treatment enhances firm value. In the second chapter I use the context of mergers & acquisitions (M&A) to investigate the effect of firm innovative ability. Acquirer announcement returns in M&A are known for being low on average; however, recent studies indicate greater abnormal announcement and long-run returns to firms motivated by the acquisition of innovation. Although acquiring innovation is an important motive for M&A, prior studies have ii mostly focused on the characteristics of target firms. In this paper, I explore the effect of acquirers’ innovative abilities in the M&A transaction. I propose that acquirer’s ex-ante ability to transform internal and external innovation investment into a tangible valued output (i.e. sales or profitability) is subject to asymmetric information. I apply a unique measure of innovative ability to explain the cross-sectional variation in acquirer returns for mergers and find a positive relation between acquirers’ innovative abilities and their abnormal returns around M&A announcements. I further discover that greater CARs in high innovative ability acquirers only exist in a subsample of M&As in the later life cycle of firms. For early merger events (the first three M&As after IPOs), acquirers’ innovative abilities are not associated with significantly larger announcement returns, suggesting an altered market perception of the value impact of acquisitions of innovation and innovative ability.
Temple University--Theses
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Ferreira, Camila Belo Tavares. "O vínculo entre documentos de patentes e a informação obtida emperiódicos científicos: estudo aplicado à área câncer de mama." Universidade Federal do Rio de Janeiro / Instituto Brasileiro de Informação em Ciência e Tecnologia, 2012. http://ridi.ibict.br/handle/123456789/778.
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Previous issue date: 2012-03-29Estudo exploratório bibliométrico dedicado à identificação de periódicos científicos que expressam a base de pesquisa técnico-científica na produção de novas tecnologias apresentada em documentos de patentes sobre câncer de mama. Analisa as contribuições das publicações científicas para a produção tecnológica por meio das citações a artigos de periódico em documentos de patentes publicados via Tratado de Cooperação em Matéria de Patente (PCT) na área de câncer de mama de 2009 a 2010. Aplica a Lei de Bradford e a Lei de Elitismo nos periódicos citados nos relatórios descritivos dos pedidos de patentes e identifica a vida média da literatura periódica citada. No que tange ao consumo de informação, verificou-se que a produção de tecnologia é papirocêntrica. Demonstra que as tecnologias do setor neoplasias mamárias reivindicadas via PCT em 2009 e 2010 são fortemente baseadas em publicações científicas visto que, os relatórios descritivos dos pedidos apresentam 74% de citações à literatura não patentária, sendo 66% periódicas (3916 citações) e 8% (466) não periódicas. A alta incidência de citações à literatura científica nesses relatórios reflete a interação da pesquisa científica com o desenvolvimento de tecnologias na área de oncogenética e biotecnologia. Dentre os 581 periódicos citados, relaciona os 27 periódicos membros da elite e identifica que 11 periódicos são especializados em oncologia/neoplasias em geral e dois periódicos em neoplasias mamárias. Os pedidos de patente analisados são baseados na literatura científica periódica dos últimos sete anos. As referências mais antigas, 1957 nos pedidos de 2010 e 1961 nos pedidos de 2009, demonstram que os intervalos de tempo entre informação científica e tecnológica neste setor não são longos. Os resultados analisados em conjunto com a revisão de literatura indicam algumas semelhanças no padrão de citação a periódicos, especialmente, na representação temática da biotecnologia e oncogenética. Os resultados da pesquisa apontam a importância do uso e acesso aos periódicos compreendidos na elite da amostra tanto para pesquisa científica quanto ao desenvolvimento tecnológico
13
Linka, Milan. "Vliv institucionálního kapitálu vědeckých institucí na jejich patentovou aktivitu - příklad České republiky." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-74137.
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The thesis examines impact of the institutional capital, which captures the ability to produce quality patents, on the number of applied patent applications after the adoption of new governmental system of research and development evaluation. For determination of the institutional capital I use similar approach as Turnovec (2005) in case of publications. The estimation of the institutional capital is based on the evaluation of patents received by publicly financed research institutions. The evaluation of patents is based on the analysis of patent family and patent citation data. The data are analyzed using methods of multi-criteria decision making. Further it is estimated that the institutional capital does not influence the number of applied patent applications.
14
Griffith, Daniel, Manfred M. Fischer, and James P. LeSage. "The spatial autocorrelation problem in spatial interaction modelling: A comparison of two common solutions." Springer, 2017. http://epub.wu.ac.at/6032/1/spatial.pdf.
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Spatial interaction models of the gravity type are widely used to describe origin-destination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterize the origin region of interaction, variables that characterize the destination region of interaction, and variables that measure the separation between origin and destination regions. A violation of standard minimal assumptions for least squares estimation may be associated with two problems: spatial autocorrelation within the residuals, and spatial autocorrelation within explanatory variables. This paper compares a spatial econometric solution with the spatial statistical Moran eigenvector spatial filtering solution to accounting for spatial autocorrelation within model residuals. An example using patent citation data that capture knowledge flows across 257 European regions serves to illustrate the application of the two approaches.
15
Kennedy, Katherine A. "Is Nurse Aide Retention Associated with Nursing Home Quality?" Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1618591173416498.
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Sung, Yi-Shan, and 宋宜珊. "Manifesting Relevant Patent Citations and Relevant Un-cited Patents Using Bibliographic Coupling and Co-Citation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/86690814315535110189.
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碩士國立臺灣大學
工業工程學研究所
98
Patent citations are extensively used for measuring the importance of patents, regarded as the knowledge flow among countries and technology fields for analysis, and applied to mapping technological trajectories for studying the evolution of the technology. However, patent citation analysis is subject to some uncertainties. Many patents are cited only with slightly relevant because they are only related to one very specific technical aspect. Moreover, many patents which should have been cited are missed. This paper aims to identify the relevant citations and the relevant un-cited patents in order to present the more precise view in the citation relationships. Both of BC and CC methods are utilized to identify the relevant citations and the relevant un-cited patents. Besides, the occurrence of relevant citations and relevant un-cited patents are related to the citation time lag (CTL), which is the time necessary for the cited patent being cited by the citing patent. The results show that citations with shorter CTL are more possible to be relevant, and this phenomenon is more obvious by BC. It reveals that it takes time for any two patents to establish their CC relations. Some relevant information cannot be dug out by CC, and therefore BC is the better approach of the identification.
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Cheng, Hsiang-Jui, and 鄭祥瑞. "The study of the impact of overlooking the patent’s pre-grant publication citations on patent citation analysis." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/46708530549439233481.
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碩士國立臺灣科技大學
專利研究所
103
A patent's number of citations is often considered an indicator to the value or impact of the invention covered by the patent. However, patent applications, specifically utility patent applications, are published 18 months after filing and before they are granted a period of time later. These so-called pre-grant publications are public information and are citable as relevant prior art by the applicants or examiners of later patent applications before and after the pre-grant publications are granted. However, most patent analyses consider only the citations to the patents and ignore the citations to their pre-grant publications. This omission may lead to erroneous analytic result as the pre-grant publication and the corresponding patent cover the same invention. This study assesses the impact of such omission by comparing about 500,000 US utility patents and their pre-grant publications. The statistics shows that over 50% patents may be misjudged because of omission, suggesting that analyst should combine the citations to the pre-grant publications and to the patents together when evaluating patents or conducting patent citation analysis.
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Chang, Ching Yi, and 張靜宜. "Patent Citations, Analyst Stock Recommendations, and Firm Value." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/16565578964732804418.
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碩士國立中正大學
會計與資訊科技研究所
101
This study examines whether patent citation impact, a leading indicator of firms’ innovation capabilities, is associated with firm value and whether this association is mediated by analyst recommendations. The results indicate that change of patent citation impact is positively associated with firm valuation, supporting the value relevance of innovation capability. We further find that patent citation has a positive impact on analyst recommendations for the firm. In addition, analyst recommendations at least partially mediate the effects of patent citation on firm value. That is, analyst recommendations represent a mechanism through which patent citation affects market valuation. Overall, this study reveals the impact of patent citation on analyst-based outcomes and price formation and calls attention to the construct of patent citation as a key intangible asset for the investor community.
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賴俊睿. "Dynamics of business method innovation by patent citations analysis." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/e473a3.
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碩士國立嘉義大學
生物事業管理學系研究所
106
In the complicated economic environment, business model innovation has become the focus of enterprises to maintain competitive advantage. How to improve and use new business method to develop a new profit-making model can bring different business opportunities. New connects between technologies in various areas of the business method have made the business model diffident with the past. Even have a huge shift in the existing business system. This study explores the innovation dynamics of business method based on the patent citation network. Patent represent wisdom of technology, Patent citations have the effect of knowledge inheritance. The study select 47,339 business method patents as sample patents, use Centrality and Modularity Q clustering as a measure index. Identify patents that have significant influence in the network, exploring the interaction between different technical fields of patent. And find the main technological evolution of business methods by the main path analysis. The study show US5794207A with the highest degree centrality and outdegree of network, indicating that the patent has cited count very high, which is an important pioneer of knowledge spillover;US9443268B1 with the highest Indegree, indicating that the patent may be a important knowledge recipient may become an important technology for future; US6629081B1 with the highest betweenness centrality and have significant influence bridge between technical link in the network. The clustering results show that business methods can be divided into eight different technical fields. We can clarify each classification of technology developments for business method patents. Main path analysis helps this paper find the five most critical development paths in the technology dynamics from network. From these paths, the most important technological trends can be explored. This research found that the last development of all paths is related about certification and security. It’s shows that trade security systems are the focus of recent business method technologies.
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Jhou, Ying-Jyun, and 周盈均. "The determinants of patent citations: the case of Taiwanese firms." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/03840249576744611697.
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碩士逢甲大學
企業管理所
97
Many organizations have valued the importance of patent information. According to the World Intellectual Property Organization (WIPO) report, use of patent information can create competitive advantage of firms. A number of empirical studies have reviewed the analysis of patent citations and examined the determining factors of patent citations. The purpose of this study is to analyze and explore the determinants of patent citations in Taiwanese firms. The observation time is from 1991 to 1995 with 481 patents in the United States Patent and Trademark Office (USPTO) database. We used the descriptive statistics and correlation coefficient to extract the determining factors of patent citations. This study distinguishes factors of affecting patent citations into the factors of patent and firm.. Patent’s factors include examiners, inventors, self-citation, patent family, and backward citations. Firm’s factors include R&D intensity, the firm age, and firm size. Our samples are mostly from Information and Electronic Industry, accounting for 88% of the samples. "Self-citation" in Patent’s factor is significantly positive effects on patent citations. Part of firm’s factors including "R&D intensity" and "firm age" are significant on patent citations.
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Yu, Wei-Xuan, and 余威萱. "A Comparative Study of the Difference of Patent Value Between Patent Forward Citations and Expert Judgment: The Case of Hydrocolloid Dressing." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/48smh5.
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碩士國立臺灣科技大學
專利研究所
106
The arrival of the era of knowledge economy has gradually made intelligence property more important an asset. However, along with the accumulation of the applications of patents a company has made, comes the enormous amount of expense of the maintenance fee of the rights. As a result, evaluate patents’ value and determine whether a company should keep holding on to them has become a complicated problem and a research topic scholars have been working on. Some of the scholars had proved with substantial evidences in the previous literatures that the value of a patent has positive correlation with the number of patent forward citations. However, there are scholars indicating otherwise with database analysis and doubt the results. The research reviewed the related previous literature and define the scope of the subject with the R&D senior executive of the partner cooperation. After searching for the patent pool aimed to determine, the R&D senior executive will then asked to subjectively judge the value of the patent. At last, the research will investigate the credibility of the determination that the value of the patent correlates with the number of patent forward citations. The result of the research are listed as below: 1. Under the integrate data analysis of the research, the group of patents that are valued higher by the expert does not necessarily have higher number of patent forward citations; 2. In this research, the forward citation analysis of forward citation number with or under 99, the group of patents having higher value, determined by the expert, have a higher forward citations in average; 3. Within the scope of the subject’s technical field in this research, based on the judgement of the expert, although using the forward citations of patents as index of patent value has some certain extent of referencing, there is still a high probability of misjudge; 4. In the research, patents having 0 forward citation still has the chance to be determined as middle or high value. As a result, expert’s consultant is still required to correctly determine the value of a patent.
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Chen, Li-Wei, and 陳立偉. "A Comparative Study of the Difference of Patent Value Between Patent Forward Citations and Expert Judgment: The Case of Emergence Bandage." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/75ahh8.
Full textAbstract:
碩士國立臺灣科技大學
專利研究所
106
Under the development of knowledge economy, while an industry is constructing the essential production factors for management purpose, concerning the creativity and utility of the intangible asset is necessary. The intangible assets have been given new economic value by the evaluation, especially those related to intellectual property. For instance, patent has transform from protecting the inventors’ technical knowledge concept to making profits by enabling the patentee to license, make transactions, or pledge after acquiring a value through evaluation. According to scholars such as Trajtenberg, Albert, and Ernst, patent citation indicators are capable of determining the economic or technical value of a patent. Thus, most of the patent evaluations nowadays use patent citation indicators. However, by returning to the origin of patent citation system and how the patent examiners view the “patent citation”, we found tremendous difference between the concept of the scholars and the patent examiners. As a result, the thesis aim to compare the difference between the patent forward citation indicated and experts judged patent values. Through analyzing patent information, the research studies the relation between the patent forward citation and the patent value, trying to understand whether the number of forward citations are capable of comprehensively evaluate the patent value, or whether the acknowledged patent value have corresponding patent forward citation. The analysis result are summarized as followed: 1. The patent forward citations are actually affected by the time; 2. The mere number of patent forward citation are not comprehensive of evaluating whether a patent is valuable; 3. The patent value does not correspond to the patent forward citation.
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Chen, Fang Yu, and 陳芳郁. "A Matrix Analysis Method for Patent Classification by Citations -- Vein Recognition Technoloby as Case Study." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/99425085646402324808.
Full textAbstract:
碩士中華大學
科技管理學系(所)
96
From OEM, ODM to OBM, enterprises gradually have their own creative ideas. Only appropriate patent strategy can lead to advantageous position. However, no matter patent alliance, co-development or self-R&D strategy, enterprises must be well-acquainted with the patent distribution. Based on the truth that current patent classification needing citation drawing which requires time-consuming effort, this research attempts to construct a matrix analysis method. This research takes vein recognition technology in biotechnology as example. First, key words will be confirmed and the patent information in USPTO can be collected. Secondly, patent matrix composed of Core, Margin, Blue-ocean and Red-ocean types is proposed around the average value of Self-Citations and Other-Citations. Third, patent counts, patent citations, involved companies and patent age are utilizes as parameters to build four different models. For the last, patent type will be discriminated and plays the foundation of the result of verification. This research shows, vein recognition is still in its initial stage without mainstream technology. About patent classification differentiation rate, in the whole, Self-Citations is higher than Other-Citations. Involved Assignee Patent Age Weighted Count and Involved Assignee Share both are higher than Involved Assignee Count, Assignee Patent Age Weighted Count is higher than Assignee Patent Share. D set with the highest differentiation rate shows that four parameters Age Weighted Count composition including Self-Citations Count, Patent Count, Other-Citations Count and Involved Assignee Count, are the best model to reflect patent type. The evidence research shows, the differentiation imposes on four sets of parameters A, B, C, D, the differentiation rate will be 62.5%, 75.0%, 68.8% and 87.5% respectively. This research can fast discriminate the single patent by acquirement of related parameters. It also can be a reference to choose technical cooperation or Design Around.
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Boasson, Vigdis Wangchao. "Two essays on the linkages of market value of the firm, knowledge flows, patent and patent citations, geographic competitive advantage and innovation resources /." 2004. http://www.gbv.de/dms/zbw/546792162.pdf.
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Hsu, Ding-Yun, and 徐鼎昀. "A Comparative Study of the Difference of Patent Value Between Patent Forward Citations and Expert Judgment: The Case of Mid-drive Electric Bike." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/43mkx7.
Full textAbstract:
碩士國立臺灣科技大學
專利研究所
106
Patentees, Entities, and even countries, everyone wants to know how much a patent or a group of patents is worth. People have been using accounting method to evaluate patent value, patent analysis to assess comprehensive value, and even patent indicators of the bibliometric method to evaluate. This research focus on patents about mid-drive electric bike. By letting the experts to evaluate the value of a patent and comparing them to the value determine by the patent forward citation indicators, we try to understand the appropriateness of using the forward citations as a patent indicator. The research cooperates with the senior engineer from the R&D department of the Cycling & Health Tech Industry R&D Center. After letting the expert manual read and judged the patent value of the US patent related to mid-drive electric bike, distribute the patents into three groups: low value, middle value, and high value. Then, analyze the outcome of patent value groups with the historical patent applications and patent forward citations. The historical patent applications and patent forward citation analysis are used to understand the developing trend of the subject over the years and the overview of the forward citation; the distribution of patent value groups rated by the expert, forward citation trend analysis, and individual analysis of each patent value groups are used to determine the difference and relationship between patent value rated by the expert and forward citation. At last, the additional discussion of patents having 0 forward citations are used to understand the performance of the patents which are unable to be determine by the forward citation indicator. The result are organized and listed as follows: (1) The mid-drive electric bike industry is growing drastically in recent years, the analysis subject is a new technology; (2) The higher the patent value rated by the expert is, the more the average forward citations; (3) From the perspective of the expert rating result, the earlier patents have higher proportion being low value, and the more recent ones are more likely to be middle value or high value; (4) Because of the accumulation of time, chronologically, patents in the mid-term have higher forward citations than the others, but are rated more to be low and middle value; (5) In the technical field of the research, with the baseline of the expert rating, using forward citation to determine the patent value has a higher probability of misjudge; (6) Patents having 0 forward citation are possible to be rated all low, middle, or high value, as a result, patent forward citation indicator should still rely on the expert’s judgement.
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Yu, Wan-Chun, and 游宛純. "The Influence of Patent Citations, R&D Expenditures and Firms'' Size upon Patent Performance — The Case of the U.S. Semiconductor Industry." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/09471606416567453595.
Full textAbstract:
碩士雲林科技大學
企業管理系碩士班
98
Semiconductors are the key fundamental components used in all kinds of electronic products. Commonly, the industrial technology development is regarded as an indicator of modernization. The main objective of this study is to explore the influence of the patent citations, the R&D expenditures and the firms’ size to the patent performance, which the U.S. semiconductor industry is considered as the main research subject through the patent performance measure from 1999 to 2008. There are three investigative results of this study. First, the patent citations are positively associated with patent performance. Patent citations can be used by measuring the quality and impact of technology. When the company has good quality, or some of the prior art patents, the company will likely invest more patent applications to protect their own interests are not violated. Second, the R&D expenditures are significantly positive to the patent performance. Patents can be regarded as R&D activities of companies from the results. Most company will apply for patents to protect the results of research and development to reduce the risk of being plagiarized. Finally, the firms’ size was negative associated with the patent performance. Although it’s not very significantly negative, but it represents the larger the scale the more unfavorable for annual new issued patent.
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Yao-Jyun, Chung, and 鍾曜駿. "The Influences and the Analysis of Total Patents, Total Citations, and Patent Scope upon the Market Value of the Semiconductor Industry in the United States." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/80276311610913983165.
Full textAbstract:
碩士國立臺北大學
企業管理學系
103
This study uses artificial neural networks to explore the influences of total patents, total citations, and patent scope upon market value of the semiconductor industry in the United States. The patent data are collected from United States Patent and Trademark Office (USPTO) and financial data are collected from the database of COMPUSTAT. The result shows that total patents, total citations, and patent scope have the similar effect upon corporate market value in the semiconductor companies in the United States. For example, they have positive effect before reaching the optimal point and have negative effect after reaching the optimal point. Therefore, this paper suggests the semiconductor companies in the United States should increase total patents and total citations, moderately enhance their patent scope, the technical superiority in the company to increase corporate market value.
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Wang, Chun-Chieh, and 王俊傑. "Comparing Strong and Weak Ties of Knowledge Spillover in Semiconductor Companies Based on R&D Cooperation and Patent Citations." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/26943401803467537798.
Full textAbstract:
博士國立臺灣大學
圖書資訊學研究所
101
In the knowledge economy and the complex environment of rapid change, the constant innovation has become an important survival rule for companies. How to catch the external knowledge has become an important issue, and external knowledge can be acquired from the knowledge flow. In this study, the analyzed periods are distinguished by wafer size in six-inches (1976~1991), eight-inches (1989~1999) and twelve-inches (1997~2011). The methodologies of patentometrics and social network analysis (SNA) are adopted, and research and development (R&D) cooperation and patent citations are treated as the agents for strong ties and weak ties of knowledge spillover. Firstly, the author analyzed the structure characterisitics of knowledge spillover networks and the main companies that utilize the strong and weak ties to spill knowledge. Secondly, The author classified companies into four technological positions: leader, broker, follower, and isolated company. On the other hand, companies were also classified into six roles of the industry value chain: integrated device manufacturer (IDM), IC design, foundry, packaging & testing, equipment, and others. The author analyzed the difference of utilizing the strong and weak tie of knowledge spillover, the difference of targets with which companies spill knowledge, and the the impact of the change of the companies with the technological position on knowledge spillover. Finally, A case analysis of knowledge spillover is addressed for the top IC foundries. The results of this study show that: 1. Knowledge spillover among semiconductor companies occurs broadly through strong ties, while the weak ones of knowledge spillover are mostly used within the company cluster; 2. Technological leaders and IDM are the highly active participants for knowledge spillover; 3. Technological leaders, IDMs, and foundries are the main targets with which companies spill knowledge; 4. Whether semiconductor companies with the technological position change or not, the patent count and the degree of their participation remain similar; 5. The interaction between strong ties and weak ties of knowledge spillover is insignificant during the chip era evolution; 6. There are similar knowledge spillover actions among main IC foundries. Based on the findings, it is recommended that the mainstream of semiconductor technology development could be captured by monitoring the companies that are technological leaders with the role of IDM or foundry. Semiconductor companies could trace the developers of common technology by observing the strong tie network of knowledge spillover, and they could trace the developers of particular technology by observing the weak tie network of knowledge spillover. Semiconductor companies could also measure the similarity between themselves and competitors based on common targets of knowledge spillover. Foundries could develop partnership with IDMs from vertical division of work into horizontal cooperation. Foundries in Taiwan should continue to develop differentiated technologies in order to ensure technical superiority of their R&D alliances.
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Ou, Lan-Fang, and 歐蘭芳. "Explore HHI, the number of patent citations, the number of inventors on the impact of corporate performancein the U.S. semiconductor industry." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/06766925197610207363.
Full textAbstract:
碩士國立臺北大學
企業管理學系
102
In recent years, high-tech patent wars continue to unfold, more and more companies to patent infringement legal means to resolve commercial competition. According to the U.S. Patent Office statistics, in recent years been used approved patent infringement litigation, up to thirty percent annual growth ; patent is often used to measure the kinetic energy of innovative enterprises, can also be used to measure the company's future growth potential and competitiveness, thus many studies using patent indicators to measure performance and view corporate R & D strategy, patent analysis is the most commonly used to monitor the latest technology trends, tech companies hope through patent analysis, accurately reflect the status of technology and industry trends, maintaining corporate competitive advantage. This study applies patent analysis to explore U.S. semiconductor industry 's operating performance during the study period of 1999 to 2011, and 106 U.S. semiconductor companies for the study, combined with the U.S. Patent and Trademark Office database (United States Patent and Trademark Office, USPTO) and COMPUSTAT database information, and artificial neural network analysis methods to explore concentrations of patents, the number of patent citations, the number of inventors impact on corporate performance. The results showed that HHI, the number of patent citations, the number of inventors have positive impacts on performance, the U.S. semiconductor company want to enhance its corporate performance should be cultivating core competencies and foster critical inventors to produce high-quality patents.
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Ou, Lan-Fang, and 歐蘭芳. "Explore HHI, the number of patent citations, the number of inventors on the impact of corporate performance in the U.S. semiconductor industry." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/47pwr4.
Full textAbstract:
碩士國立臺北大學
企業管理學系
102
In recent years, high-tech patent wars continue to unfold, more and more companies to patent infringement legal means to resolve commercial competition. According to the U.S. Patent Office statistics, in recent years been used approved patent infringement litigation, up to thirty percent annual growth ; patent is often used to measure the kinetic energy of innovative enterprises, can also be used to measure the company's future growth potential and competitiveness, thus many studies using patent indicators to measure performance and view corporate R & D strategy, patent analysis is the most commonly used to monitor the latest technology trends, tech companies hope through patent analysis, accurately reflect the status of technology and industry trends, maintaining corporate competitive advantage. This study applies patent analysis to explore U.S. semiconductor industry 's operating performance during the study period of 1999 to 2011, and 106 U.S. semiconductor companies for the study, combined with the U.S. Patent and Trademark Office database (United States Patent and Trademark Office, USPTO) and COMPUSTAT database information, and artificial neural network analysis methods to explore concentrations of patents, the number of patent citations, the number of inventors impact on corporate performance. The results showed that HHI, the number of patent citations, the number of inventors have positive impacts on performance, the U.S. semiconductor company want to enhance its corporate performance should be cultivating core competencies and foster critical inventors to produce high-quality patents.
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Dolev, Uryia. "Exploring the importance of innovations with patent citations : thesis submitted in partial fulfilment of the requirements for the degree of Master of Commerce in Economics at Department of Economics, College of Business and Economics, The University of Canterbury /." 2006. http://library.canterbury.ac.nz/etd/adt-NZCU20070703.153543.
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Hsieh, Hui-Chen, and 謝惠媜. "Constructing an Enhanced Patent Citation Network by Adding Unused Relevant Patents." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/52933247709166010346.
Full textAbstract:
碩士國立臺灣大學
工業工程學研究所
97
The patent citation analyses rely on the citations between patents, including quality of patents, knowledge flow and spillover, technology development and industrial trend. The inventors record relevant information as prior art but not all the relevant prior studies would be cited as references. Some highly relevant patents may be unused for the citation time lag (CTL). This paper used the bibliographical coupling (BC) and Pareto principle to identify the unused relevant patents (URP). Some of the missing citation links can then be made up by adding the URP and an enhanced patent citation network (EPCN) can be constructed by taking the URP into account. The patent citation network (PCN) and EPCN were discussed at patent and assignee level in this paper. The differences between the two networks were studied through the Freeman vertex betweenness centrality and the Johnson’s hierarchical clustering. The light emitting diode (LED) illuminating technology was chosen for case study in this paper in order to demonstrate the feasibility of the research methodology. As shown in this work, the relationship between patents can be enhanced by adding the URP.
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Liang, Chen-Huan, and 梁振煥. "Combination of patent citation analysis with new patent development rules for analysis of the related dental light patents." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/95j7es.
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Huang, Kuo-Jui, and 黃國瑞. "On the Scattering Distributions of Patent Citation." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/19029895454228152415.
Full textAbstract:
碩士國立臺灣大學
工業工程學研究所
96
The objective of this research is to set up a criterion for classifying the patents by their importance and value. Bradford’s law provided a practical method for us to find this criterion and verified the unequal distribution of patent data related to forward citation. Groos droop was also verified which presented in the industries studies that revealed there would be a rule of higher number of patents containing fewer forward citations. The meaning of patent data scattering was also deeply elaborated and illustrated in some growing patterns. Based on more numerical discussion, it was more precisely depicted that how the distributions in several zones of patent data grew which Bradford was mentioned in the industrial studies. Meanwhile, the comparative discussions on the patent data distributions of three industries were also verified that there would be the similar trends among them. The managerial implication was discussed in the study as well. It was emphasized that a firm should have more of the patent belonged to the first zone and make effort to focus on the development of the relative technology. The future works were supposed that using the valuable patents, the first zone’s patents, was more meaningful than the numerical count of all the patents. Therefore, the other studies about the prediction of firm’s performance could modify the independent variable according the criterion made from Bradford. Besides, taking the entire firm’s granted patents as a Bradford curve to see the overall development pattern was also a technological development method.
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Chun-Ming, Hsu, and 許峻銘. "The Distribution of Patent Citation and Maintenance." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/72457908454431560824.
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Hsieh, Hsiao-Chi. "Models and Application of Patent Citation Analysis." 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0020-2808200823545400.
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Huang, Kuo-Jui. "On the Scattering Distributions of Patent Citation." 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2207200814395400.
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Hsieh, Hsiao-Chi, and 謝曉琪. "Models and Application of Patent Citation Analysis." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/13961354325143089649.
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碩士國立暨南國際大學
資訊管理學系
96
In recent years, there are many applications for patent analysis to forecast emerging technologies. Especially, citation plays an important role in the patent analysis field. However, current patent citations have certain drawbacks, such as that is difficult to grasp the overall relationship among patent documents, and citation analysis is a time-consuming task because it requires an exhaustive search. Therefore, this thesis applies an incidence matrix to analyze the citation information in patent citation networks. In order to analyze the patent citation and identify the critical patents more effectively, the matrix is analyzed using two algorithms, the topological sorting algorithm and the triangularization algorithm are combined with network measurements as a result of those contributions. Finally, some general discussions of patterns from the results of a patent citation model are presented along with conclusions.
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CHIANG, YU-LIN, and 姜幼霖. "PATENT CITATION AND PATENT QUALITY:EVDIENCE FROM G5 BIOTECHNOLOGY AND IT INDUSTRY." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/28377431125012769752.
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碩士國立臺灣大學
經濟學研究所
94
This paper examines patterns of international knowledge diffusion in the IT and biotechnology industry among G5 as an indicator of knowledge flow.We examines a knowledge diffusion model using a data set that is quality-adjusted during 1977-2002.
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OuYang, Kuang, and 歐陽光. "Integrating Patent Family and Patent Citation into New Product Design Model." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/11474200339616755214.
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博士雲林科技大學
企業管理博士班
97
A patent family comprises the information of a patent portfolio in an enterprise. While it is possible to get the information of a patent’s prior art by means of patent citation analysis; however, no method has been proposed to integrated a patent family and a patent citation effectively. Based on the idea of “focusing first, and then finding the details” which arose from this study, this report proposes a new model that combines patent family analysis with patent citation analysis into the Innovative Product Development Process (IPDP), and our research shows that the new model can indeed promote increased effectiveness of product design to extract useful patent intelligence systematically, including: 1) management based and technology based patent searching, 2) building the patent family based on an industry basic patent, 3) filtering the patent family to obtain key patents, 4) the use of patent citations to trace the necessary technology information in product design, and 5) combining TRIZ theory to build patent technology performance maps, and discover product niches. This new procedure is illustrated by applying it to a real life study.
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Chen-Yu, Huang. "Patent Bibliometric Performance Measure: A Modified Citation Rate Analysis with Dynamic Citation Windows." 2007. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-1010200717421700.
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Chen-Yu, Huang, and 黃正宇. "Patent Bibliometric Performance Measure: A Modified Citation Rate Analysis with Dynamic Citation Windows." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/05461535061538771193.
Full textAbstract:
碩士臺灣大學
工業工程學研究所
96
The object of this research is to enhance the former patent citation rate analysis method which utilizes one fixed citation window for every agency at all times by introducing a concept of dynamic citation windows and to extend the analysis for comparisons among agencies. The idea of cited half-life was adapted for patent assessment to establish a model of annually dynamic citation windows for each agency. Based on each agency’s annual citation window, its annual citation rate can then be obtained to measure its patent bibliometric performance. Because different agencies may have disparate attributes, a normalized citation rate was also proposed to measure each agency’s corresponding rank comparatively to the average of all the agencies. The dynamic citation window represents more accurately the patent citation cycle time for technology analysis which is a major research and management task in technology industry. Three industries were chosen, semiconductor, communication, and drug industry, as target agencies to study their citation window patterns and demonstrate the advantages by using dynamic citation windows for patent citation rate analysis. Their annual citation rate changes were detailed and normalized citation rates were obtained to show their corresponding ranks comparatively to the average of all industries and provide a base of cross field comparison. IBM is also taken as an agency to test and verify the cross field comparison character of nCR.
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Lin, Li-Ling, and 林莉陵. "Evaluating patent citation analysis from Social Network Analysis perspective." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/56319265138786768533.
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碩士國立暨南國際大學
國際企業學系
97
Since the life cycle of Hi-Tech products becomes shorter and technology development and variety of market uncertainty get more complicated, the Network relation has more influence on these phenomena. Under the same environment and the limited resources, strategic makers have to deliberate the competition, cooperation or the complementariness of competition and cooperation strategy. In the past, researchers who only used dyadic view for patent citation analysis, so they can’t find the triadic or even multi information. In addition, some scholars even thought the traditional patient citation analysis were mature, if someone who wants to find more information, they should used new analytic method. Hence, the traditional patent citation analysis was a good contribution, but sometime limitations were caused of error information. As the result, we adopt the popular concept, social network, to discuss the position, role, influence and the situation of interaction with limited resources in RFID industry. Moreover, we also confer on the strength of the relation and the situation within the internal area. In short, the study will discuss the influence of structure and characteristics of firm from the whole, cluster and individual level with the top 20 firms, produce patent occupied 95% from all data, in the RFID industry. Discussing when firms in an environment, limited in resources, what the operation of these firms will do. The empirical results show that the characteristic and structure of firms certainly influence the relation of each other and the strategic choice. For firms at whole level, the technology diffusers are more independence; the technology absorbers require higher dependence; medium firms have more broker benefits from the technology transmission. In addition, the concept of Cluster and Blockmodeling shows that under the same environment and limited resources, the complementariness of competition and cooperation would appear at the same time. Finally, from the individual level, we could find firms who have more specialism and basic technology in the field and will be the core group in the future. The study expands the citation information of patent owned by firms through Network views and offers more messages.
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Lin, Shu-Wei, and 林樹煒. "Using Citation Networks Position Analysis for patent future Evaluation." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/46178884342102089276.
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碩士國立清華大學
科技管理研究所
95
Patent analysis is very important information to compete with the competitors of enterprises and control the research progress for business. There are more and more scholars and research methodology to help patent analysis, but most crucial thing is that lots of patent information like the citing number only provided the emphasis of current time point; it can not get the emphasis of future from citing number. Social network analysis is a theory to analyses network graph, discus the actors function in the social network and it can present the current patent value by patent citation graph. Betweenness and closure are the major two forces to affect the future advance by the network structure of node. This study hopes penetrate the social network analysis to research patent citation graph can predict the future advance for every patent and provide the useful information for patent scholars.
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Li, Ying-Yang, and 李英揚. "Using Citation Network Analysis to explore the Relationship between Patent Feature and Patent Quality." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/59267001040423679942.
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碩士國立清華大學
服務科學研究所
100
Patents are important assets in a company. It not only represents the technology abilities, but also represents the competitive advantage of a company. Each patent owns different features that will affect the quality of patent in the future. Determining the impact from patent features to patent quality is always important for R&;D strategies. In this study, social network is regarded as a mediator to explore the relationship between patent features and patent quality. The analytical results shows that patent features will affect patent quality through network position. Thus, this study provides a method for the purpose of predicting patent quality and finds that a patent with higher originality or shorter technology cycle time will enhance patent quality through network position. Patent features are different depending on variation of industry environment. Thus, this study further explores the moderation efficiency of patent types for finding the different behavior in citation network with different patent types. This study suggests that it is need to adjust R&;D strategies by different purpose of using technology. At least for technology-oriented patents and service-oriented patents, the R&;D strategies should be different between them.
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Wu, Shiao-Jun, and 吳曉君. "Using Patent Co-Citation Analysis to Establish Patent Classification Support System- Illustrated with Foundry Industry." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/12979252842429632522.
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博士國立雲林科技大學
管理研究所博士班
92
The paper proposes a new approach to create a patent classification system to replace the IPC or UPC system for conducting patent analysis and management. The new approach is based on co-citation analysis of bibliometrics. The traditional approach for management of patents, which is based on either the IPC or UPC, is too general to meet the needs of specific industries. In addition, some patents are placed in incorrect categories, making it difficult for enterprises to carry out R&D planning, technology positioning, patent strategy-making and technology forecasting. Therefore, it is essential to develop a patent classification system that is adaptive to the characteristics of a specific industry. The analysis of this approach is divided into 3 phases. Phase I selects appropriate databases to conduct patent searches according to the subject and objective of this study and then select basic patents. Phase II uses the co-cited frequency of the basic patent pairs to assess their similarity. Phase III uses factor analysis to establish a classification system and assess the efficiency of the proposed approach. The main contribution of this approach is to develop a patent classification system based on patent similarities to assist patent manager in understanding the basic patents for a specific industry, the relationships among categories of technologies and the evolution of a technology category. PCA can provide rich information for patent analysis than other classification systems.
47
Li, Guo-ding, and 李國鼎. "An Empirical Study on Patent Backward Citation and Patent Transfer: The Case of Photovoltaic Technology." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/67075339274587615441.
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碩士國立中央大學
產業經濟研究所
100
In this research, we use the United States approved patent of the solar photovoltaic technology for the sample period from 1995-2007 to study the impact of the backward citation on the probability of patent transfer, With the Probit model analysis, we find that the patent backward citation has negative effect on the transfer probability. This also means the more backward citations, the lower the degree of patented innovations or breakthrough technique. Then we dismantle the patent backward citation step by step. We find that the patent literature citations are positively related to transfer probability because of the patent’s rich technical background. Non-patent literature citations have negative effect on transfer, because of the more non-patent literature citations mean the more basic on technology, or are relatively immature in a particular technical field Finally we disassemble patent literature citations into U.S. and non-patent citations, and also disassemble non-patent literature citations into scientific reference and non-scientific reference. The results show that both the US and non-US patent citations have the positive effects on patent transfer. This implies that transfer will not be restricted by the nation of cited patents, and there is a positive correlation between technology spillovers and transfer. Scientific reference and non-scientific reference are negatively affect transfer probability. Scientific references are those published literature of the ISI-Web of knowledge database, but scientific references are not statistically significant. Non-scientific references include conference proceedings, without an assessment standard, their quality may be difficult to evaluate, therefore reduce the probability of transfer.
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Huei-Jie, Hu. "Development of Essential Patent Indicator Based on Modified Citation Counts." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2707200612344700.
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Huang, Chi-Sheng, and 黃祈勝. "Patent Citation Analysis about Wind Power-Compressed Air Storage Systems." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/vq7442.
Full textAbstract:
碩士明道大學
資訊傳播學系碩士班
99
Wind power is a common renewable energy. Three times of energy transformation from wind energy to electricity reduce the capture of the wind energy for wind generators. A wind power-compressed air storage system increases the capture of the wind energy by reducing the times of energy transformations. However, few articles gave attention to the patent analysis about the system. This research studied the patent citation analysis of the wind power-compressed air storage systems, including the patent bibliomatrics, patent citation and technology function matrix of patents about the wind power-compressed air storage system. From the patent bibliomatrics analysis, some patents about the system were notified since the first was approved in 1909. Most of the patents were approved after 1998. Besides, most of the assignees of the patents are U.S. corporations according the analysis about inventors and assignees. For the present, the wind power-compressed air storage technology is in the beginning. The study analyzed patent citation and technology function matrix about the patents of the technology. The wind energy industry could get much benefit from the trends of technology shown in the patent citation analysis.
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Hu, Huei-Jie, and 胡惠傑. "Development of Essential Patent Indicator Based on Modified Citation Counts." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/49313484486840743559.
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碩士國立臺灣大學
機械工程學研究所
94
A systematic methodology to analyze the quality of patents is developed and presented in this thesis. We focus on patents which belong to a particular technology and develop an indicator of patent quality by using patent citation data. Traditional simple patent citation counts are not informative enough to be used for patent quality classification. We analyze patent citations and establish an essential patent indicator by considering several critical factors. The first is time factor, the second is assignee factor, the third is self and other citation factor, and the fourth is citation layer factor. Citations are calculated by considering first the time factor and then modifed by the other three factors. With essential patent indicator we can provide a patent quality index and discover the trend of the technology used by enterprises who have better knowledge in the quality of these technologies.