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Differences by country in academic production indexed in Scopus on intellectual property and innovation systems (2001-2021)

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  • Additional Information
    • Publication Information:
      Elsevier BV
      Netherlands
    • Publication Date:
      2022
    • Collection:
      REDICUC - Repositorio Universidad de La Costa
    • Abstract:
      This paper aims to establish what are the differences by country in scientific production on intellectual property and innovation systems between 2001 and 2021? We use text mining, non-parametric statistics, and two specialized software (Bibliometrix and VosViewer) to indicate the differences in scientific production by country on innovation systems and intellectual property. We found that scientific production in the Asia Pacific and North American countries is, on average, higher than in Eastern Europe, the Middle East and North Africa, and Sub-Saharan Africa. These last three regions do not exhibit statistically significant differences among themselves. On the other hand, the countries of Western Europe exceed the production levels of the countries of Eastern Europe and Sub-Saharan Africa. We identified that the topics in the scientific production of the most productive countries were related to case studies, technology transfer, triple helix, regional innovation systems, governance, open innovation, competitiveness, and innovation policies.
    • File Description:
      6 páginas; application/pdf
    • Relation:
      Procedia Computer Science; [1] Zapirain, E. A., & Massa, S. M. (2018) “Intellectual Property Management in Serious Games”. In 2018 IEEE Biennial Congress of Argentina (ARGENCON) (pp. 1-5). IEEE.; [2] Ali, S., & Tang, H. (2022) “Is intellectual property beneficial to knowledge management? Literature review on organizational knowledge protection”. Journal of the Knowledge Economy, 2022: 1-19.; [3] World intellectual property organization (2020) What is Intellectual Property? https://www.wipo.int/publications/en/details.jsp?id=4528; [4] Lis-Gutiérrez, J. P., Lis-Gutiérrez, M., Gaitán-Angulo, M., Balaguera, M. I., Viloria, A., & Santander-Abril, J. E. (2018) “Use of the industrial property system for new creations in colombia: a departmental analysis (2000–2016)”. In International Conference on Data Mining and Big Data (pp. 786-796). Springer, Cham.; [5] Lee, K., Lee, J., & Lee, J. (2021) “Variety of national innovation systems (NIS) and alternative pathways to growth beyond the middle-income stage: Balanced, imbalanced, catching-up, and trapped NIS”. World Development 144, 105472.; [6] Shenkoya, T., & E. Kim. (2020) “The Impact of Technology Transfer/Policies on the Economic Catch-up of the Korean National Innovation System and its Implications for Nigeria.” African Journal of Science, Technology, Innovation and Development 13 (6): 685–699.; [7] Mowery, D. & Oxley, J. (1995) “Inward technology transfer and competitiveness: the role of national innovation systems”. Cambridge Journal of Economics 19: 67 - 93.; [8] Chung, S. (2002) “Building a national innovation system through regional innovation systems”. Technovation 22(8), 485-491.; [9] Rohe, S., & Mattes, J. (2022) “What about the regional level? Regional configurations of Technological Innovation Systems”. Geoforum 129, 60-73.; [10]Balland, P. A., Boschma, R., & Frenken, K. (2022) “Proximity, innovation and networks: A concise review and some next steps”. In: Torre, A., and Gallaud, D. Handbook of Proximity Relations (70-80), Edward Elgar https://doi.org/10.4337/9781786434784; [11]Van Eck, N.J., & Waltman, L. (2011) “Text mining and visualization using VOSviewer”. ISSI Newsletter 7(3), 50-54.; [12]Oyewola, D. O., & Dada, E. G. (2022) “Exploring machine learning: a scientometrics approach using bibliometrix and VOSviewer”. SN Applied Sciences 4(5), 1-18.; [13]Aria, M. & Cuccurullo, C. (2017) “bibliometrix: An R-tool for comprehensive science mapping analysis”. Journal of Informetrics 11(4), 959-975. DOI:10.1016/j.joi.2017.08.007 (https://doi.org/10.1016/j.joi.2017.08.007); [14]Aria, M., Misuraca, M., & Spano, M. (2020) “Mapping the evolution of social research and data science on 30 years of Social Indicators Research”. Social indicators research 149(3), 803-831. https://doi.org/10.1007/s11205-020-02281-3); [15]Zhang, R., & Yuan, J. (2022) “Enhanced author bibliographic coupling analysis using semantic and syntactic citation information”. Scientometrics, 1-26.; [16]Sherwani, R. A. K., Shakeel, H., Awan, W. B., Faheem, M., and Aslam, M. (2021) “Analysis of COVID-19 data using neutrosophic Kruskal Wallis H test,” BMC Medical Research Methodology 21(1): 1–7.; [17]United Nations Development Programme (2021) “Latest Human Development Index Ranking”. UN.; [18]Legatum Institute (2022). “The Legatum Prosperity Index 2021” https://www.prosperity.com/about/resources; [19]Social Science Statistics (2022) “The Friedman Test for Repeated-Measures”. https://www.socscistatistics.com/tests/friedman/default.aspx; 666; 661; 203; https://hdl.handle.net/11323/9572; Corporación Universidad de la Costa; https://repositorio.cuc.edu.co/
    • Accession Number:
      10.1016/j.procs.2022.07.097
    • Online Access:
      https://hdl.handle.net/11323/9572
      https://doi.org/10.1016/j.procs.2022.07.097
      https://repositorio.cuc.edu.co/
    • Rights:
      © 2022 The Author(s). Published by Elsevier B.V. ; Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) ; https://creativecommons.org/licenses/by-nc-nd/4.0/ ; info:eu-repo/semantics/openAccess ; http://purl.org/coar/access_right/c_abf2
    • Accession Number:
      edsbas.C98B889F