IDEAS home Printed from https://ideas.repec.org/a/abz/journl/y2021id335.html
   My bibliography  Save this article

Inventors Dynamics in Balkanic Area: Evidences by a Network Analysis

Author

Listed:
  • T. Ciano
  • P. Fotia
  • B. A. Pansera
  • M. Ferrara

Abstract

Patent data is a key source of information for innovation economists. In recent decades it has been possible to observe its significant diffusion and success mainly thanks either to archives digitization or to authorities’ greater openness with respect to patent granting procedure. Furthermore, the use of this information over time has not been limited to simple statistics on patents and their classification, but, going further, has extended to the analysis of applicants, inventors, citations, and much more. By this seminal paper, we are going to analyze starting from Data analysis related to a selection of Balkanic Countries, chosen among the most dynamic in innovation process and production of patents: Croatia, Serbia, and Bosnia and Herzegovina. How it will explain into the work, this selection was not accidental: the aim was to represent the evolution of these Countries, in terms of patent internationalization, depending on their “link†with the European Union, not all Western Balkan Countries are in fact part of it. Croatia, an official EU member since 2012, was chosen as the representative state of European influence. Some interesting results were obtained with a novel approach by social network analysis techniques.

Suggested Citation

  • T. Ciano & P. Fotia & B. A. Pansera & M. Ferrara, 2021. "Inventors Dynamics in Balkanic Area: Evidences by a Network Analysis," Economics of Science, Delo Publishing house, vol. 7(4).
    • Handle: RePEc:abz:journl:y:2021:id:335
    DOI: 10.22394/2410-132X-2021-7-4-230-242
    as

    Download full text from publisher

    File URL: https://ecna.elpub.ru/jour/article/viewFile/335/205
    Download Restriction: no
    File URL: https://libkey.io/10.22394/2410-132X-2021-7-4-230-242?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ji-ping Gao & Cheng Su & Hai-yan Wang & Li-hua Zhai & Yun-tao Pan, 2019. "Research fund evaluation based on academic publication output analysis: the case of Chinese research fund evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 959-972, May.
    2. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    3. Young-Ho Eom & Santo Fortunato, 2011. "Characterizing and Modeling Citation Dynamics," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-7, September.
    4. Brennecke, Julia & Rank, Olaf, 2017. "The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study," Research Policy, Elsevier, vol. 46(4), pages 768-783.
    5. Neus Palomeras & Eduardo Melero, 2010. "Markets for Inventors: Learning-by-Hiring as a Driver of Mobility," Management Science, INFORMS, vol. 56(5), pages 881-895, May.
    6. Yves Gingras & Vincent Larivière & Benoît Macaluso & Jean-Pierre Robitaille, 2008. "The Effects of Aging on Researchers' Publication and Citation Patterns," PLOS ONE, Public Library of Science, vol. 3(12), pages 1-8, December.
    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. Shahadat Uddin & Liaquat Hossain & Kim Rasmussen, 2013. "Network Effects on Scientific Collaborations," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-12, February.
    2. Li, Jing & Yu, Qian, 2024. "Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective," Journal of Informetrics, Elsevier, vol. 18(1).
    3. Crescenzi, Riccardo & Gagliardi, Luisa, 2018. "The innovative performance of firms in heterogeneous environments: The interplay between external knowledge and internal absorptive capacities," Research Policy, Elsevier, vol. 47(4), pages 782-795.
    4. Jiao, Hao & Wang, Tang & Yang, Jifeng, 2022. "Team structure and invention impact under high knowledge diversity: An empirical examination of computer workstation industry," Technovation, Elsevier, vol. 114(C).
    5. Lian, Xiangpeng & Guo, Ying & Su, Jun, 2021. "Technology stocks: A study on the characteristics that help transfer public research to industry," Research Policy, Elsevier, vol. 50(10).
    6. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.
    7. Mingbo Sun & Xueqing Zhang & Xiaoxiao Zhang, 2022. "The Impact of a Multilevel Innovation Network and Government Support on Innovation Performance—An Empirical Study of the Chengdu–Chongqing City Cluster," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    8. Martorell Cunil, Onofre & Otero González, Luis & Durán Santomil, Pablo & Mulet Forteza, Carlos, 2023. "How to accomplish a highly cited paper in the tourism, leisure and hospitality field," Journal of Business Research, Elsevier, vol. 157(C).
    9. Diemer, Andreas & Regan, Tanner, 2022. "No inventor is an island: Social connectedness and the geography of knowledge flows in the US," Research Policy, Elsevier, vol. 51(2).
    10. Michal Brzezinski, 2015. "Power laws in citation distributions: evidence from Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 213-228, April.
    11. Xie, Zheng & Ouyang, Zhenzheng & Liu, Qi & Li, Jianping, 2016. "A geometric graph model for citation networks of exponentially growing scientific papers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 167-175.
    12. T. S. Evans & N. Hopkins & B. S. Kaube, 2012. "Universality of performance indicators based on citation and reference counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 473-495, November.
    13. Thelwall, Mike, 2016. "The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression," Journal of Informetrics, Elsevier, vol. 10(2), pages 336-346.
    14. Balázs Győrffy & Gyöngyi Csuka & Péter Herman & Ádám Török, 2020. "Is there a golden age in publication activity?—an analysis of age-related scholarly performance across all scientific disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1081-1097, August.
    15. Liu, Tong & Mao, Yifei & Tian, Xuan, 2023. "The role of human capital: Evidence from corporate innovation," Journal of Empirical Finance, Elsevier, vol. 74(C).
    16. Cathrin Söllner & Dirk Fornahl, 2021. "Unleashing Inventive Power - Solving cognitive, social and geographic distance issues with cultural proximity," Bremen Papers on Economics & Innovation 2103, University of Bremen, Faculty of Business Studies and Economics.
    17. Huimin Xu & Yi Bu & Meijun Liu & Chenwei Zhang & Mengyi Sun & Yi Zhang & Eric Meyer & Eduardo Salas & Ying Ding, 2022. "Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(10), pages 1489-1505, October.
    18. Cunha, Leonardo R. & Pessa, Arthur A.B. & Mendes, Renio S., 2024. "Shape patterns in popularity series of video games," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    19. Riccardo Crescenzi & Simona Iammarino, 2017. "Global investments and regional development trajectories: the missing links," Regional Studies, Taylor & Francis Journals, vol. 51(1), pages 97-115, January.
    20. Lin, Runhui & Ji, Ze & Xie, Qiqi & Li, Wenchang, 2024. "Inventor’s ego network change and invention impact: The moderating role of knowledge networks," Journal of Business Research, Elsevier, vol. 185(C).

    More about this item

    Statistics

    Access and download statistics

    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:abz:journl:y:2021:id:335. 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: Кочетков Дмитрий Михайлович (email available below). General contact details of provider: https://delo.ranepa.ru/ .

    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.