IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v111y2017i3d10.1007_s11192-017-2370-6.html
   My bibliography  Save this article

An analysis of international coauthorship networks in the supply chain analytics research area

Author

Listed:
  • Marcelo Werneck Barbosa

    (Federal University of Minas Gerais
    Pontifícia Universidade Católica de Minas Gerais)

  • Marcelo Bronzo Ladeira

    (Federal University of Minas Gerais)

  • Alberto Calle Vicente

    (University of Deusto)

Abstract

This work characterized the research community of supply chain analytics (SCA) with respect to coauthorship, a special kind of collaboration. A characterization of coauthorship in terms of researchers’ countries, institutions and individuals was elaborated, so three different one-mode networks were studied. Besides, the SCA research community is characterized in terms of Supply Chain Management (SCM) research streams. Coauthorship among researchers working on different streams is also analyzed. Metrics that depict the importance of the network nodes were studied such as degree, betweenness and closeness. This study found out an intense collaboration between USA and countries such as China, India, United Kingdom and Canada. Researchers from Canada and Ireland are better situated (central) in the network, although they have not published a considerable amount of papers. The presence of cliques and the small-world effect were also observed in these networks. In terms of research streams, more research on SCA located at the Strategic Management, Technology-focused and Logistics streams was found. The most common links between research streams are on the one side, Technology-focused with both Strategic Management and Logistics and on the other side Strategic Management with both Logistics and Organizational behavior. SCA researchers are rarely working with a focus on Marketing. This study contributes to the SCA literature by identifying the most central actors in this area and by characterizing the area in terms of SCM research streams. This study may contribute to the development of more focused research incentive programs and collaborations.

Suggested Citation

  • Marcelo Werneck Barbosa & Marcelo Bronzo Ladeira & Alberto Calle Vicente, 2017. "An analysis of international coauthorship networks in the supply chain analytics research area," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1703-1731, June.
  • Handle: RePEc:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2370-6
    DOI: 10.1007/s11192-017-2370-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-017-2370-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-017-2370-6?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    2. Ugo Finardi & Andrea Buratti, 2016. "Scientific collaboration framework of BRICS countries: an analysis of international coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 433-446, October.
    3. Nathalie Fabbe-Costes & Marianne Jahre, 2008. "Supply Chain Integration and Performance - A Review of the Evidence," Post-Print hal-01419288, HAL.
    4. Ding, Ying, 2011. "Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks," Journal of Informetrics, Elsevier, vol. 5(1), pages 187-203.
    5. Giulio Cainelli & Mario A. Maggioni & T. Erika Uberti & Annunziata Felice, 2015. "The strength of strong ties: How co-authorship affect productivity of academic economists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 673-699, January.
    6. Souza, Gilvan C., 2014. "Supply chain analytics," Business Horizons, Elsevier, vol. 57(5), pages 595-605.
    7. Domenico De Stefano & Giuseppe Giordano & Maria Vitale, 2011. "Issues in the analysis of co-authorship networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1091-1107, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qiang Du & Jiajie Zhou, 2022. "Evolution of Low Carbon Supply Chain Research: A Systematic Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    2. Šubelj, Lovro & Fiala, Dalibor & Ciglarič, Tadej & Kronegger, Luka, 2019. "Convexity in scientific collaboration networks," Journal of Informetrics, Elsevier, vol. 13(1), pages 10-31.
    3. Kalaitzi, Dimitra & Tsolakis, Naoum, 2022. "Supply chain analytics adoption: Determinants and impacts on organisational performance and competitive advantage," International Journal of Production Economics, Elsevier, vol. 248(C).
    4. Muhammad Noman Shafique & Ammar Rashid & Sook Fern Yeo & Umar Adeel, 2023. "Transforming Supply Chains: Powering Circular Economy with Analytics, Integration and Flexibility Using Dual Theory and Deep Learning with PLS-SEM-ANN Analysis," Sustainability, MDPI, vol. 15(15), pages 1-23, August.

    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. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    2. Fan Jiang & Niancai Liu, 2018. "The hierarchical status of international academic awards in social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2091-2115, December.
    3. Sergi Lozano & Xosé-Pedro Rodríguez & Alex Arenas, 2014. "Atapuerca: evolution of scientific collaboration in an emergent large-scale research infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1505-1520, February.
    4. Angelou, K. & Maragakis, M. & Kosmidis, K. & Argyrakis, P., 2021. "The evolution of triangular research and innovation collaborations in the European area," Journal of Informetrics, Elsevier, vol. 15(3).
    5. Jiancheng Guan & He Wei, 2015. "A bilateral comparison of research performance at an institutional level," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 147-173, July.
    6. Noémi Gaskó & Rodica Ioana Lung & Mihai Alexandru Suciu, 2016. "A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 613-632, August.
    7. Susan Biancani & Daniel McFarland, 2013. "Social Networks Research in Higher Education," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 85-126.
    8. Eli Rudinow Saetnan & Richard Philip Kipling, 2016. "Evaluating a European knowledge hub on climate change in agriculture: Are we building a better connected community?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1057-1074, November.
    9. Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
    10. Šubelj, Lovro & Fiala, Dalibor & Ciglarič, Tadej & Kronegger, Luka, 2019. "Convexity in scientific collaboration networks," Journal of Informetrics, Elsevier, vol. 13(1), pages 10-31.
    11. Limei Zhao & Qingpu Zhang & Liang Wang, 2014. "Benefit distribution mechanism in the team members’ scientific research collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 363-389, August.
    12. Jeong, Yujin & Park, Inchae & Yoon, Byungun, 2019. "Identifying emerging Research and Business Development (R&BD) areas based on topic modeling and visualization with intellectual property right data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 655-672.
    13. Tarifa Fernández, Jorge & de Burgos Jiménez, Jerónimo & Céspedes Lorente, José Joaquín, 2018. "Absorptive capacity as a confounder of the process of supply chain integration," MPRA Paper 120125, University Library of Munich, Germany, revised 2018.
    14. Minchul Lee & Min Song, 2020. "Incorporating citation impact into analysis of research trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1191-1224, August.
    15. Leonardo de Assis Santos & Leonardo Marques, 2022. "Big data analytics for supply chain risk management: research opportunities at process crossroads," Post-Print hal-03766121, HAL.
    16. Ali, Abdul & Mancha, Ruben & Pachamanova, Dessislava, 2018. "Correcting analytics maturity myopia," Business Horizons, Elsevier, vol. 61(2), pages 211-219.
    17. Liu, Weiwei & Song, Yifan & Bi, Kexin, 2021. "Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    18. Rosamaria d’Amore & Roberto Iorio & Agnieszka Stawinoga, 2011. "Who and where are the co-authors? The relationship between institutional and geographical distance in scientific publications," Working Papers 2011.4, International Network for Economic Research - INFER.
    19. Yi Bu & Binglu Wang & Win-bin Huang & Shangkun Che & Yong Huang, 2018. "Using the appearance of citations in full text on author co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 275-289, July.
    20. Luís Filipe Miranda Grochocki & Andrea Felippe Cabello, 2023. "Research collaboration networks in maturing academic environments," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2535-2556, April.

    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:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2370-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.