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Journal articles on the topic 'Patent indicators'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Og, Joo Young, Krzysztof Pawelec, Byung-Keun Kim, Rafal Paprocki, and EuiSeob Jeong. "Measuring Patent Value Indicators with Patent Renewal Information." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 1 (2020): 16. http://dx.doi.org/10.3390/joitmc6010016.

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This paper attempts to fill a research gap of literature by constructing the dynamic model into which both ex ante and ex post patent value indicators are incorporated. A patent renewal model is tested using a large set of Pharmaceutical patents granted by the European Patent Office between 1996 and 2009. We test five ex ante indicators and single ex post indicator including family size, patent backward citations, backward references to non-patent literature, number of claims, number of inventors, renewal fee, patent age, application year, and the ex post indicator forward citations. Empirical

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2

Schmoch, U. "Impact of international patent applications on patent indicators." Research Evaluation 8, no. 2 (1999): 119–31. http://dx.doi.org/10.3152/147154499781777540.

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3

Hwang, Jung-Tae, Byung-Keun Kim, and Eui-Seob Jeong. "Patent Value and Survival of Patents." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 2 (2021): 119. http://dx.doi.org/10.3390/joitmc7020119.

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This study investigated the effect of patent value on the renewal (survival) of patents. The private value of patents can be one of the main pillars sustaining a firm’s value, and the estimation of the value may contribute to the strategic management of firms. The current study aimed to confirm the recent research findings with survival analysis, focusing on the more homogeneous patent data samples. In this study, a dataset is constructed from a cohort of 6646 patents from the 1996 and 1997 application years, using patent data from the European Patent Office (EPO). We found that the family siz

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4

van Zeebroeck, Nicolas. "The puzzle of patent value indicators." Economics of Innovation and New Technology 20, no. 1 (2011): 33–62. http://dx.doi.org/10.1080/10438590903038256.

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5

Narin, Francis. "Patent citation indicators in strategic planning." Competitive Intelligence Review 1, no. 1 (1990): 17. http://dx.doi.org/10.1002/cir.3880010115.

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6

Wang, Ming-Yeu, Hsien-Chen Lo, and Yu-Yin Liao. "Knowledge Flow Determinants of Patent Value: Evidence from Taiwan and South Korea Biotechnology Patents." International Journal of Innovation and Technology Management 12, no. 03 (2015): 1540004. http://dx.doi.org/10.1142/s0219877015400040.

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Patents are important knowledge assets that enable firms to compete successfully and earn returns. To control spending on patent renewal fees, firms carefully analyze the value of their patents to determine whether patent rights need to be maintained, thereby rendering renewal decisions an opportunity to examine patent values. This study incorporates social network analysis and traditional patent indicators to empirically investigate the determinants affecting patent valuation by firms and research institutes in the Taiwanese and South Korean biotechnology industries. Results indicate that fir

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7

Verhoeven, Dennis, Jurriën Bakker, and Reinhilde Veugelers. "Measuring technological novelty with patent-based indicators." Research Policy 45, no. 3 (2016): 707–23. http://dx.doi.org/10.1016/j.respol.2015.11.010.

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8

Leydesdorff, Loet. "Patent classifications as indicators of intellectual organization." Journal of the American Society for Information Science and Technology 59, no. 10 (2008): 1582–97. http://dx.doi.org/10.1002/asi.20814.

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9

Bakker, Jurrièn, Dennis Verhoeven, Lin Zhang, and Bart Van Looy. "Patent citation indicators: one size fits all?" Academy of Management Proceedings 2014, no. 1 (2014): 14018. http://dx.doi.org/10.5465/ambpp.2014.14018abstract.

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10

Bakker, Jurriën, Dennis Verhoeven, Lin Zhang, and Bart Van Looy. "Patent citation indicators: One size fits all?" Scientometrics 106, no. 1 (2015): 187–211. http://dx.doi.org/10.1007/s11192-015-1786-0.

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11

Frame, J. "Modelling national technological capacity with patent indicators." Scientometrics 22, no. 3 (1991): 327–39. http://dx.doi.org/10.1007/bf02019766.

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12

Wang, Ying. "Construction of Patent Infringement Litigation Early Warning Index System for the Pharmaceutical Enterprises." Applied Mechanics and Materials 268-270 (December 2012): 2045–49. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.2045.

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Our objective is to establish the patent infringement litigation early warning model and early warning indicator system for pharmaceutical companies. Reversely generate the warning model based on incentives of patent infringement litigation. A combination of qualitative and quantitative methods were used to determine the specific early warning indicators. According to the hierarchical analytical process, the three-tier warning indicator was established system including the target layer and factors, and three stages of the early warning indicator system: were put forward: preliminary warning ph

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13

Strazzullo, Serena, Francesco Rogo, Michele Grimaldi, and Livio Cricelli. "Patent ranking indicators: a framework for the evaluation of a patent portfolio." International Journal of Intellectual Property Management 11, no. 2 (2021): 185. http://dx.doi.org/10.1504/ijipm.2021.10036989.

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14

Cricelli, Livio, Michele Grimaldi, Francesco Rogo, and Serena Strazzullo. "Patent ranking indicators: a framework for the evaluation of a patent portfolio." International Journal of Intellectual Property Management 11, no. 2 (2021): 185. http://dx.doi.org/10.1504/ijipm.2021.114619.

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15

Haupt, Reinhard, Martin Kloyer, and Marcus Lange. "Patent indicators for the technology life cycle development." Research Policy 36, no. 3 (2007): 387–98. http://dx.doi.org/10.1016/j.respol.2006.12.004.

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16

Guo, Yang, Yuanjia Hu, Mingli Zheng, and Yitao Wang. "Patent indicators: a window to pharmaceutical market success." Expert Opinion on Therapeutic Patents 23, no. 7 (2013): 765–71. http://dx.doi.org/10.1517/13543776.2013.792806.

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17

Jibu, Mari, and Yoshiyuki Osabe. "Innovation Front and Technology Linkage." Business and Management Studies 2, no. 1 (2016): 88. http://dx.doi.org/10.11114/bms.v2i1.1393.

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This paper presents new indicators of knowledge flows by linking scientific articles to patents. The citations between scientific articles and patents have been analyzed since Narin started the study of science linkage, which is seen in administrative process as patent examiners refer scientific articles in examining a patent (Narin, 1988, 1997). The new indicators introduced in this paper, “Innovation Front” and “Technology Linkage,” are considered important, especially for policy-makers and strategy planners. These new indicators show that innovation in biotechnology field depends on a wide

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18

Fischer, Timo, and Jan Leidinger. "Testing patent value indicators on directly observed patent value—An empirical analysis of Ocean Tomo patent auctions." Research Policy 43, no. 3 (2014): 519–29. http://dx.doi.org/10.1016/j.respol.2013.07.013.

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19

Vinkler, P. "Percentage Patent Representation (PPR) Bilateral Patent Balance (BPB) and Patent Dominancy (PD) indicators characterizing international patenting relations." Scientometrics 27, no. 1 (1993): 97–103. http://dx.doi.org/10.1007/bf02017758.

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20

Frietsch, Rainer, Peter Neuhäusler, Taehyun Jung, and Bart Van Looy. "Patent indicators for macroeconomic growth—the value of patents estimated by export volume." Technovation 34, no. 9 (2014): 546–58. http://dx.doi.org/10.1016/j.technovation.2014.05.007.

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21

Savage, Jeff P., Mengge Li, Scott F. Turner, Donald E. Hatfield, and Laura B. Cardinal. "Mapping Patent Usage in Management Research: The State of Prior Art." Journal of Management 46, no. 6 (2020): 1121–55. http://dx.doi.org/10.1177/0149206320916233.

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Patents play an important, and increasingly influential, role in management scholarship. In this study, we conduct a broad and systematic review of patent-based empirical work in the management field, which involves mapping the ways in which scholars are using patent-based measures to represent concepts and assessing this usage based on measurement principles. With respect to mapping, our review identifies the different types of measures that researchers have constructed based on different types of patent data (e.g., patent counts, backward citations) as well as delineates the classes of theor

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22

Herrera-Ramírez, Milton Mauricio, Edgard Alberto Méndez-Morales, and Diana Marlene Barrios-Campos. "how the quality of patents contributes to revitalising the innovation system?, evidence from the renewable energy sector." Revista de Investigación, Desarrollo e Innovación 11, no. 2 (2021): 227–42. http://dx.doi.org/10.19053/20278306.v11.n2.2021.12753.

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There is an intense discussion on the impact of the quality of patents on innovation and economic development. Consequently, measuring the quality of patents becomes an essential issue to understand how it affects the innovation system (IS). This paper shows a systematic review of patent quality indicators and their contribution to the literature. Additional to the systematic review, a dynamic behaviour hypothesis is developed to comprise how patent value indicators can be used to create a set of strategies to improve the innovation of the renewable energy sector. Our results show a novel fram

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23

Park, Gwangman, and Yongtae Park. "On the measurement of patent stock as knowledge indicators." Technological Forecasting and Social Change 73, no. 7 (2006): 793–812. http://dx.doi.org/10.1016/j.techfore.2005.09.006.

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24

Dubarić, Ervin, Dimitris Giannoccaro, Rune Bengtsson, and Thomas Ackermann. "Patent data as indicators of wind power technology development." World Patent Information 33, no. 2 (2011): 144–49. http://dx.doi.org/10.1016/j.wpi.2010.12.005.

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25

Lee, Changyong, Juram Kim, Ohjin Kwon, and Han-Gyun Woo. "Stochastic technology life cycle analysis using multiple patent indicators." Technological Forecasting and Social Change 106 (May 2016): 53–64. http://dx.doi.org/10.1016/j.techfore.2016.01.024.

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26

Miyazawa, T., and H. Osada. "Quantitative indicators for evaluating the competitiveness of a patent." Journal of Intellectual Property Law & Practice 5, no. 3 (2010): 192–99. http://dx.doi.org/10.1093/jiplp/jpp230.

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27

Schmoch, U., H. Grupp, T. Reiss, and E. Strauss. "Monitoring science-based biotechnology by means of patent indicators." Research Evaluation 1, no. 2 (1991): 61–68. http://dx.doi.org/10.1093/rev/1.2.61.

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28

Dechezleprêtre, Antoine, Yann Ménière, and Myra Mohnen. "International patent families: from application strategies to statistical indicators." Scientometrics 111, no. 2 (2017): 793–828. http://dx.doi.org/10.1007/s11192-017-2311-4.

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29

Chanchetti, Lucas Faccioni, Sergio Manuel Oviedo Diaz, Douglas Henrique Milanez, Daniel Rodrigo Leiva, Leandro Innocentini Lopes de Faria, and Tomaz Toshimi Ishikawa. "Technological forecasting of hydrogen storage materials using patent indicators." International Journal of Hydrogen Energy 41, no. 41 (2016): 18301–10. http://dx.doi.org/10.1016/j.ijhydene.2016.08.137.

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30

Hirschey, Mark, and Vernon J. Richardson. "Are scientific indicators of patent quality useful to investors?" Journal of Empirical Finance 11, no. 1 (2004): 91–107. http://dx.doi.org/10.1016/j.jempfin.2003.01.001.

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31

Kasyanov, Pavel E. "Contemporary methods of patent analytics as a tool for measuring and managing innovations." Science management: theory and practice 1, no. 2 (2019): 132–44. http://dx.doi.org/10.19181/smtp.2019.1.2.8.

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Examples of innovation development indicators based on patent documents is reviewed. Most popular patent-related metrics have common features with bibliometric indicators which are used in research evaluation. Ideas for using such indicators in evaluating technological trends and managing innovation are suggested. A further discussion is possible on methodological issues occurring during implementing the use of such patent metrics.

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32

Suh, Jong Hwan. "Exploring the effect of structural patent indicators in forward patent citation networks on patent price from firm market value." Technology Analysis & Strategic Management 27, no. 5 (2015): 485–502. http://dx.doi.org/10.1080/09537325.2015.1011613.

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33

Milanez, Douglas Henrique, Leandro Innocentini Lopes de Faria, Roniberto Morato do Amaral, and José Angelo Rodrigues Gregolin. "Claim-based patent indicators: A novel approach to analyze patent content and monitor technological advances." World Patent Information 50 (September 2017): 64–72. http://dx.doi.org/10.1016/j.wpi.2017.08.008.

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34

Neuhäusler, Peter, and Rainer Frietsch. "Patent families as macro level patent value indicators: applying weights to account for market differences." Scientometrics 96, no. 1 (2012): 27–49. http://dx.doi.org/10.1007/s11192-012-0870-y.

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35

Chiu, Yu-Jing, Kuang-Chin Chen, and Hui-Chung Che. "Does Patent Help to Build Investment Portfolio of China A-Shares under China-US Trade Conflict?" Mathematical Problems in Engineering 2020 (May 13, 2020): 1–12. http://dx.doi.org/10.1155/2020/7317480.

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Patent, a legal representation of innovation achievement, is strongly meaningful for almost every country’s economic growth and technology development. China, the world’s no. 2 stock market, is the world’s largest patent application country. In this study, we observed 2,197 China-listed companies of Renminbi (RMB) common stocks (A-shares) from 2016 to 2018. The relationship among 570 valid patent indicators and financial indicators of the stock price, Return-on-Assets (ROA), and Return-on-Equity (ROE) was examined. We constructed patent leading indicators, patent kernel indicators, and patent

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36

Carlo Rainatto, Giuliano, Orlando Roque Silva, Norberto Almeida de Andrade, et al. "A New Proposal for Innovation Indicators: A Study of the World’s Largest Patent Producing Countries." International Journal of Business and Management 15, no. 4 (2020): 201. http://dx.doi.org/10.5539/ijbm.v15n4p201.

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Innovation has become an eloquent topic among researchers and the market, but it is important to understand where we are innovating and at what costs and how efficiently this has been done. Promoting innovation performance index based on patent production, R&amp;D investment and the number of researchers being a tool to assist managers in measuring how the resource is used. According to the analysis made using the countries in the list of the top 10(ten) patent applicants, we have identified that the first place is not the most efficient in employing researchers by a patent granted or in t

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37

Huang, Peng Fei, Chen Guang Wei, and Rui Na Pan. "Patent Map Analysis of Measurement Technology." Key Engineering Materials 680 (February 2016): 60–67. http://dx.doi.org/10.4028/www.scientific.net/kem.680.60.

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According to World Intellectual Property Indicators 2014, growth rate of measurement technique was the leader of the top five fields of technology. Professional tool-ISI Web of Knowledge System Derwent World Patents Index database (DWPI) was used to acquire and study patent data. Thomson's patent analyses software TDA was used in measurement technology patents map analysis, paying attention to the technical focus and hot spots. In this paper, searching patent status of measurement from 2010 to 2014 by using professional tool DWPI and TDA, hot spots of patent application in measurement field we

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38

Yamashita, Yasuhiro. "An attempt to identify technologically relevant papers based on their references." Scientometrics 125, no. 2 (2020): 1783–800. http://dx.doi.org/10.1007/s11192-020-03673-5.

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AbstractIn this study, two indicators derived from references in papers were proposed to characterize the papers regarding technological relevance: (1) the number of reference papers that obtained citations from patents by the time of observation, i.e., the publication years of papers to be assessed (NR-PCP), and (2) the number of reference papers authored by the firms’ researchers (NR-FP). Next, the two indicators were applied to papers published in 2001 to assess their performance. The results obtained by the two indicators were evaluated by citations from patents until 2016 in various condi

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39

Curran, Clive-Steven, and Jens Leker. "Patent indicators for monitoring convergence – examples from NFF and ICT." Technological Forecasting and Social Change 78, no. 2 (2011): 256–73. http://dx.doi.org/10.1016/j.techfore.2010.06.021.

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40

Lanjouw, Jean O., and Mark Schankerman. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators." Economic Journal 114, no. 495 (2004): 441–65. http://dx.doi.org/10.1111/j.1468-0297.2004.00216.x.

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41

Kapoor, Rahul, Matti Karvonen, and Tuomo Kässi. "Patent value indicators as proxy for commercial value of inventions." International Journal of Intellectual Property Management 6, no. 3 (2013): 217. http://dx.doi.org/10.1504/ijipm.2013.056242.

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42

Wagner, Stefan, and Simon D. Wakeman. "Patent indicators and product commercialization - Evidence from the pharmaceutical industry." Academy of Management Proceedings 2014, no. 1 (2014): 15837. http://dx.doi.org/10.5465/ambpp.2014.15837abstract.

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43

Pavitt, K. "Patent statistics as indicators of innovative activities: Possibilities and problems." Scientometrics 7, no. 1-2 (1985): 77–99. http://dx.doi.org/10.1007/bf02020142.

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44

Kelly, Bryan, Dimitris Papanikolaou, Amit Seru, and Matt Taddy. "Measuring Technological Innovation over the Long Run." American Economic Review: Insights 3, no. 3 (2021): 303–20. http://dx.doi.org/10.1257/aeri.20190499.

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We use textual analysis of high-dimensional data from patent documents to create new indicators of technological innovation. We identify important patents based on textual similarity of a given patent to previous and subsequent work: these patents are distinct from previous work but related to subsequent innovations. Our importance indicators correlate with existing measures of patent quality but also provide complementary information. We identify breakthrough innovations as the most important patents—those in the right tail of our measure—and construct time series indices of technological cha

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45

Tsvetkova, L. A., and F. A. Kurakov. "Assessment of the global competitiveness of Russian companies in the competitive landscape of the automotive industry." Economics of Science 5, no. 4 (2019): 258–70. http://dx.doi.org/10.22394/2410-132x-2019-5-4-258-27.

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In order to determine the position of large Russian companies on the competitive landscape of the global automotive market, a comparative analysis of the largest Russian companies with foreign counterparts was conducted on a number of financial and economic indicators characterizing their innovative activity and efficiency. To compare the patent portfolios of Russian companies and similar global companies, the following indicators were used: the total number of patent applications filed by the company, the stability of patent activity, the number of technological areas in the strategic focus o

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46

Li, Shugang, Lirong Zhu, Boyi Zhu, et al. "Mining technology hot spots in the 3D printing industry for technology strategic planning based on MRCAI." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 7135–49. http://dx.doi.org/10.3233/jifs-200404.

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3D printing is the important part of the emerging industry, and the accurate prediction of technology hot spots (THS) in the 3D printing industry is crucial for the strategic technology planning. The patents of the THS are always in the minority and have outlier characteristics, so the existing single and rigid models cannot accurately and robustly predict the THS. In order to make up for the shortcomings of the existing research, this study proposes a model for robust composite attraction indicator (MRCAI), which avoids the impact of outlier patents on prediction accuracy depending on not onl

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47

Pereira de Morais, Luanna, Silvana Nunes de Queiroz, Cristiano Quintino Furtado, and Gabriel Francisco da Silva. "Intellectual Property Indicators in the Mesoregions of the State of Alagoas-Brazil." International Journal for Innovation Education and Research 8, no. 8 (2020): 594–609. http://dx.doi.org/10.31686/ijier.vol8.iss8.2568.

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The objective of this study is to analyze local, innovative and sustainable development in the three Mesoregions of Alagoas, through intellectual property indicators (patents, trademarks, industrial design and geographical indications). The methodology consists of the analysis of secondary sources extracted from the Statistical Database on Industrial Property (BADEPI), available on the website of the National Institute of Industrial Property (INPI), for the years 2010 to 2017. The results point out marked differences, with the eastern Alagoas mesoregion concentrating the intellectual property

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48

Guderian, Carsten C. "Identifying Emerging Technologies with Smart Patent Indicators: The Example of Smart Houses." International Journal of Innovation and Technology Management 16, no. 02 (2019): 1950040. http://dx.doi.org/10.1142/s0219877019500408.

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Patent information plays a key role in technology intelligence. As granted patent rights provide temporary exclusivity to commercialize inventions, emerging technologies are marked by brisk increases in patenting, revealing patent-based information as sources for corporate technology intelligence. In this paper, I analyze one such emerging technology, smart houses, which refers to connected and centrally controlled everyday household solutions. I provide a detailed technology landscape study that tracks longitudinal patenting changes in the technology during the 18-year period from 2000 to 201

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49

Oliveira, Braulio Salumão de, Douglas Henrique Milanez, Daniel Rodrigo Leiva, Leandro Innocentini Lopes de Faria, Walter José Botta, and Claudio Shyinti Kiminami. "Thermal Spraying Processes and Amorphous Alloys: Macro-Indicators of Patent Activity." Materials Research 20, suppl 1 (2017): 89–95. http://dx.doi.org/10.1590/1980-5373-mr-2017-0416.

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50

Milanez, Douglas H., Leandro I. L. Faria, Daniel R. Leiva, Claudio S. Kiminami, and Walter J. Botta. "Assessing technological developments in amorphous/glassy metallic alloys using patent indicators." Journal of Alloys and Compounds 716 (September 2017): 330–35. http://dx.doi.org/10.1016/j.jallcom.2017.05.105.

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