IDEAS home Printed from https://ideas.repec.org/a/rbs/ijbrss/v5y2016i3p66-79.html
   My bibliography  Save this article

Patent Data Visualization: A Regional Study

Author

Listed:
  • Ulas Akkucuk

    (Departmenf of Management, Bogazici University, Istanbul, Turkey)

  • Mehmet Nafi Artemel

    (Departmenf of Management, Bogazici University, Istanbul, Turkey)

Abstract

The importance given by the governments to building a sound intellectual property infrastructure is increasing in developing countries and especially in Central Asian countries. This infrastructure is continuously improved to live up to a common standard in collaboration with government agencies, educational institutions and international agencies. In this paper, the infrastructure developments that took place in the Central Asian countries is going to be elaborated and furthermore some statistical analyses will be used in order to compare the differences and similarities between the Central Asian republics within themselves and the rest of the world. Patent based statistical data reveal a broad range of information concerning the innovative capability of countries, regions and firms. The number of patents that a country obtains in different technological fields and the change in this number over the years may provide useful information regarding the growth potential of the country and the ability to follow technological advances. For this purpose, patent statistics collected by institutions like World Intellectual Property Organization (WIPO) have been analyzed using statistical techniques. In addition to basic statistics, multidimensional scaling analysis (MDS) has been applied to the data sets. Key Words: Intellectual Property, Patent, Turkic Republics, WIPO, Technology Management, Innovation

Suggested Citation

  • Ulas Akkucuk & Mehmet Nafi Artemel, 2016. "Patent Data Visualization: A Regional Study," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 5(3), pages 66-79, April.
  • Handle: RePEc:rbs:ijbrss:v:5:y:2016:i:3:p:66-79
    as

    Download full text from publisher

    File URL: http://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/108/112
    Download Restriction: no

    File URL: http://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/108
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fattori, Michele & Pedrazzi, Giorgio & Turra, Roberta, 2003. "Text mining applied to patent mapping: a practical business case," World Patent Information, Elsevier, vol. 25(4), pages 335-342, December.
    2. Ulas Akkucuk & J. Douglas Carroll, 2006. "PARAMAP vs. Isomap: A Comparison of Two Nonlinear Mapping Algorithms," Journal of Classification, Springer;The Classification Society, vol. 23(2), pages 221-254, September.
    3. Karki, M. M. S., 1997. "Patent citation analysis: A policy analysis tool," World Patent Information, Elsevier, vol. 19(4), pages 269-272, December.
    4. Engelsman, E. C. & van Raan, A. F. J., 1994. "A patent-based cartography of technology," Research Policy, Elsevier, vol. 23(1), pages 1-26, January.
    5. Jean-Christophe Doré & Christian Dutheuil & Jean-François Miquel, 2000. "Multidimensional Analysis of Trends in Patent Activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 475-492, March.
    6. Basberg, Bjorn L., 1987. "Patents and the measurement of technological change: A survey of the literature," Research Policy, Elsevier, vol. 16(2-4), pages 131-141, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hyunseok Park & Janghyeok Yoon & Kwangsoo Kim, 2013. "Identification and evaluation of corporations for merger and acquisition strategies using patent information and text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 883-909, December.
    2. Fronzetti Colladon, Andrea & Guardabascio, Barbara & Venturini, Francesco, 2025. "A new mapping of technological interdependence," Research Policy, Elsevier, vol. 54(1).
    3. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
    4. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    5. Altuntas, Serkan & Dereli, Turkay & Kusiak, Andrew, 2015. "Analysis of patent documents with weighted association rules," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 249-262.
    6. Gurney, Thomas & Horlings, Edwin & van den Besselaar, Peter & Sumikura, Koichi & Schoen, Antoine & Laurens, Patricia & Pardo, Daniel, 2014. "Analysing knowledge capture mechanisms: Methods and a stylised bioventure case," Journal of Informetrics, Elsevier, vol. 8(1), pages 259-272.
    7. Inkyung Cho & Jungkyu Park & Eunnyeong Heo, 2018. "Measuring Knowledge Diffusion in Water Resources Research and Development: The Case of Korea," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    8. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    9. Choe, Hochull & Lee, Duk Hee & Seo, Il Won & Kim, Hee Dae, 2013. "Patent citation network analysis for the domain of organic photovoltaic cells: Country, institution, and technology field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 492-505.
    10. Gelsomina Catalano & Gaston García López & Alejandro Sánchez & Silvia Vignetti, 2021. "From scientific experiments to innovation: Impact pathways of a Synchrotron Light Facility," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(3), pages 447-472, September.
    11. Piscitello, Lucia, 2000. "Relatedness and coherence in technological and product diversification of the world's largest firms," Structural Change and Economic Dynamics, Elsevier, vol. 11(3), pages 295-315, September.
    12. Bas, Christian Le & Sierra, Christophe, 2002. "'Location versus home country advantages' in R&D activities: some further results on multinationals' locational strategies," Research Policy, Elsevier, vol. 31(4), pages 589-609, May.
    13. Urpelainen, Johannes, 2011. "Export orientation and domestic electricity generation: Effects on energy efficiency innovation in select sectors," Energy Policy, Elsevier, vol. 39(9), pages 5638-5646, September.
    14. Travis J. Lybbert & Nikolas J. Zolas, 2012. "Getting Patents & Economic Data to Speak to Each Other: An ‘Algorithmic Links with Probabilities’ Approach for Joint Analyses of Patenting & Economic Activity," WIPO Economic Research Working Papers 05, World Intellectual Property Organization - Economics and Statistics Division, revised Oct 2012.
    15. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2020. "Going Revolutionary: The Impact of 4IR Technology Development on Firm Performance," SPRU Working Paper Series 2020-08, SPRU - Science Policy Research Unit, University of Sussex Business School.
    16. Nan Yu, 2016. ": Innovation of renewable energy generation technologies at a regional level in China:A study based on patent data analysis," EIIW Discussion paper disbei230, Universitätsbibliothek Wuppertal, University Library.
    17. Hyundong Nam & Taewoo Nam, 2021. "Exploring Strategic Directions of Pandemic Crisis Management: A Text Analysis of World Economic Forum COVID-19 Reports," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    18. P. S. Nagpaul, 1999. "Transnational linkages of Indian science: A structural analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(1), pages 109-140, September.
    19. A.A. Egbetokun & W.O. Siyanbola & A.A. Adeniyi, 2010. "Learning to innovate in Nigeria's cable and wire manufacturing subsector: inferences from a firm-level case study," International Journal of Learning and Intellectual Capital, Inderscience Enterprises Ltd, vol. 7(1), pages 55-74.
    20. Antje Klitkou & Stian Nygaard & Martin Meyer, 2007. "Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 491-518, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rbs:ijbrss:v:5:y:2016:i:3:p:66-79. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Umit Hacioglu (email available below). General contact details of provider: https://edirc.repec.org/data/ssbffea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.