[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/lrc/larrss/v1y2016i5p1-17.html
   My bibliography  Save this article

Social Network Analysis as an Analytical Archetype of R&D National Networks: Case Study in Culture Collections of Brazil and Japan

Author

Listed:
  • Fabius Abrahão Torreão Esteves

    (Oswaldo Cruz Foundation – Fiocruz, Brazil.)

  • Claude Pirmez

    (Instituto Oswaldo Cruz – IOC/Fiocruz, Brazil.)

  • Manuela da Silva

    (Instituto Oswaldo Cruz – IOC/Fiocruz, Brazil.)

  • Carla Torreão Esteves

    (Escola Nacional de Saúde Pública – ENSP/Fiocruz, Brazil.)

  • Andréa Torreão Esteves

    (Escola Nacional de Saúde Pública – ENSP/Fiocruz, Brazil.)

  • Roberto Pierre Chagnon

    (Oswaldo Cruz Foundation – Fiocruz, Brazil.)

  • Elton Fernandes

    (Federal University of Rio de Janeiro - COPPE/UFRJ, Brazil.)

Abstract
The lack of analytical mechanisms of R&D national networks is a significant problem por policy makers. This paper presents an analytical archetype for performance evaluation of national co-authoring networks based on Social Network Analysis parameters. The model evaluates paper co-authoring data of professionals responsible for culture collections in Brazil and Japan. Were identified professionals from the World Federation for Culture Collections data bank and co-authoring identified from international bibliographic databases. The Brazilian network is the focus of the analysis and the Japanese is the reference network. The Research and Development networks in culture collections are fundamental to the performance of the biotechnological innovation chain in areas such as health, agriculture and industry, and thus fundamental to emerging countries such as Brazil. This country has the fifth largest population in the world, being most of this population user of public health services and it has in the agribusiness one of its main sources of wealth. The model allows a performance evaluation of the networks and identifies improvement paths for the Brazilian network. SNA parameters combined with a reference network showed meaningful elements to the understanding of a R&D networks. This proved helpful for the strategic analysis of the network weaknesses and strengths. The model also proposes policy implications for the three analysis of sub-levels, namely cohesion, subgroups and centralization. Classification JEL : I19

Suggested Citation

  • Fabius Abrahão Torreão Esteves & Claude Pirmez & Manuela da Silva & Carla Torreão Esteves & Andréa Torreão Esteves & Roberto Pierre Chagnon & Elton Fernandes, 2016. "Social Network Analysis as an Analytical Archetype of R&D National Networks: Case Study in Culture Collections of Brazil and Japan," Review of Social Sciences, LAR Center Press, vol. 1(5), pages 1-17, May.
    • Handle: RePEc:lrc:larrss:v:1:y:2016:i:5:p:1-17
    as

    Download full text from publisher

    File URL: http://www.socialsciencejournal.org/index.php/site/article/view/35/21
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Orsenigo, L. & Pammolli, F. & Riccaboni, Massimo, 2001. "Technological change and network dynamics: Lessons from the pharmaceutical industry," Research Policy, Elsevier, vol. 30(3), pages 485-508, March.
    2. Alireza Abbasi & Jorn Altmann, 2010. "On the Correlation between Research Performance and Social Network Analysis Measures Applied to Research Collaboration Networks," TEMEP Discussion Papers 201066, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2010.
    3. Gilsing, V.A. & Duijsters, G.M., 2008. "Understanding novelty creation in exploration networks, structural and relational embeddedness jointly considered," Other publications TiSEM dc09da69-d749-4bf9-8898-5, Tilburg University, School of Economics and Management.
    4. Corley, Elizabeth A. & Boardman, P. Craig & Bozeman, Barry, 2006. "Design and the management of multi-institutional research collaborations: Theoretical implications from two case studies," Research Policy, Elsevier, vol. 35(7), pages 975-993, September.
    5. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    6. Mario A. Maggioni & Mario Nosvelli & Teodora Erika Uberti, 2007. "Space versus networks in the geography of innovation: A European analysis," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 471-493, August.
    7. Mario Maggioni & Teodora Uberti, 2009. "Knowledge networks across Europe: which distance matters?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 691-720, September.
    8. Balconi, Margherita & Breschi, Stefano & Lissoni, Francesco, 2004. "Networks of inventors and the role of academia: an exploration of Italian patent data," Research Policy, Elsevier, vol. 33(1), pages 127-145, January.
    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. Laurent R. Bergé, 2017. "Network proximity in the geography of research collaboration," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 785-815, November.
    2. Di Cagno, Daniela & Fabrizi, Andrea & Meliciani, Valentina & Wanzenböck, Iris, 2016. "The impact of relational spillovers from joint research projects on knowledge creation across European regions," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 83-94.
    3. Sara Amoroso & Alex Coad & Nicola Grassano, 2017. "European R&D networks: A snapshot from the 7th EU Framework Programme," JRC Working Papers on Corporate R&D and Innovation JRC107546, Joint Research Centre (Seville site).
    4. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    5. Aurélien Fichet de Clairfontaine & Manfred Fischer & Rafael Lata & Manfred Paier, 2015. "Barriers to cross-region research and development collaborations in Europe: evidence from the fifth European Framework Programme," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 577-590, March.
    6. Luka Kronegger & Anuška Ferligoj & Patrick Doreian, 2011. "On the dynamics of national scientific systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 989-1015, August.
    7. Yindan Ye & Kevin De Moortel & Thomas Crispeels, 2020. "Network dynamics of Chinese university knowledge transfer," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1228-1254, August.
    8. Bettencourt, Luis M.A. & Lobo, Jose & Strumsky, Deborah, 2007. "Invention in the city: Increasing returns to patenting as a scaling function of metropolitan size," Research Policy, Elsevier, vol. 36(1), pages 107-120, February.
    9. Hennemann, Stefan & Rybski, Diego & Liefner, Ingo, 2012. "The myth of global science collaboration—Collaboration patterns in epistemic communities," Journal of Informetrics, Elsevier, vol. 6(2), pages 217-225.
    10. Christ, Julian P., 2009. "The geography and co-location of European technology-specific co-inventorship networks," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 31/2010, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    11. Scott W. Cunningham & Claudia Werker, 2012. "Proximity and collaboration in European nanotechnology," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 723-742, November.
    12. Claudia Noumedem Temgoua, 2018. "Highly skilled migration and the internationalization of knowledge," Cahiers du GREThA (2007-2019) 2018-16, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    13. Ernest Miguélez & Rosina Moreno, 2013. "“Mobility, networks and innovation: The role of regions’ absorptive capacity”," IREA Working Papers 201316, University of Barcelona, Research Institute of Applied Economics, revised Oct 2013.
    14. Mitze, Timo & Strotebeck, Falk, 2019. "Determining factors of interregional research collaboration in Germany's biotech network: Capacity, proximity, policy?," Technovation, Elsevier, vol. 80, pages 40-53.
    15. Koen Frenken & Roderik Ponds & Frank Van Oort, 2010. "The citation impact of research collaboration in science‐based industries: A spatial‐institutional analysis," Papers in Regional Science, Wiley Blackwell, vol. 89(2), pages 351-271, June.
    16. Marina Van Geenhuizen & Pieter Stek, 2015. "Mapping innovation in the global photovoltaic industry: a bibliometric approach to cluster identification and analysis," ERSA conference papers ersa15p697, European Regional Science Association.
    17. Pier Paolo Angelini, "undated". "The role of inter-organizational proximity on the evolution of the European Aerospace R&D collaboration network," CERIS Working Paper 201402, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    18. Uwe Cantner & Holger Graf, 2011. "Innovation Networks: Formation, Performance and Dynamics," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 15, Edward Elgar Publishing.
    19. Corinne Autant-Bernard & Pascal Billand & Nadine Massard, 2012. "Innovation and Space – From Externalities to Networks," Chapters, in: Charlie Karlsson & Börje Johansson & Roger R. Stough (ed.), The Regional Economics of Knowledge and Talent, chapter 3, Edward Elgar Publishing.
    20. Nicola Cortinovis & Frank van Oort, 2017. "Between spilling over and boiling down: network-mediated spillovers, absorptive capacity and productivity in European regions," Tinbergen Institute Discussion Papers 17-118/VI, Tinbergen Institute.

    More about this item

    Keywords

    Analytical archetype; Brazil; Culture Collections; R&D National Network; Social network analysis.;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other

    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:lrc:larrss:v:1:y:2016:i:5:p:1-17. 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: H Kabir (email available below). General contact details of provider: http://www.socialsciencejournal.org .

    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.