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The Evolutionary Characteristics and Interaction of Interdisciplinarity and Scientific Collaboration under the Convergence Paradigm: Analysis in the Field of Materials Genome Engineering

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  • Jing Li

    (School of Economics, Wuhan University of Technology, Wuhan 430070, China)

  • Qian Yu

    (School of Economics, Wuhan University of Technology, Wuhan 430070, China)

Abstract

Convergence has been proposed as a revolutionary innovation paradigm that advocates the integration of multidisciplinary knowledge through collaboration to solve complex real-world challenges. From a knowledge perspective, this study examined the evolutionary characteristics and interactions between interdisciplinarity and scientific collaboration in the context of the convergence paradigm using complex networks and bibliometric methods for publications (n = 35,227) in the materials genome engineering (MGE) field in China from 2000 to 2021. The findings are as follows: (1) Under the convergence paradigm, knowledge from five core disciplines forms the skeleton of the multidisciplinary knowledge system in the MGE field. The goal of interdisciplinarity gradually evolves from theoretical exploration to applied research, and the knowledge from various disciplines is increasingly integrated. (2) The development of the scientific collaboration network has gone through three phases: 2000–2009, 2005–2014, and 2015–2021, and its core-periphery structure has been gradually optimized. (3) The evolution of interdisciplinarity is nearly synchronized with the evolution of the scientific collaboration network. (4) The promotion of interdisciplinarity through collaboration is becoming increasingly evident. The proportion of interdisciplinary partnerships increased from 0.66 to 0.87, with the proportion of partnerships involving more than two disciplines increasing from 0.24 to 0.59. (5) Institutions from core and periphery disciplines have diverse partner selection preferences, and disciplinary characteristics related to knowledge similarity and complementarity are important factors influencing scientific collaboration behavior. This study contributes to a more comprehensive understanding of the convergence paradigm and provides insights for better incubating convergence research projects and advancing top-down innovation management in convergence fields.

Suggested Citation

  • Jing Li & Qian Yu, 2023. "The Evolutionary Characteristics and Interaction of Interdisciplinarity and Scientific Collaboration under the Convergence Paradigm: Analysis in the Field of Materials Genome Engineering," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13417-:d:1235025
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    1. Elisa Bellotti & Luka Kronegger & Luigi Guadalupi, 2016. "The evolution of research collaboration within and across disciplines in Italian Academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 783-811, November.
    2. Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
    3. Joel A. C. Baum & Robin Cowan & Nicolas Jonard, 2010. "Network-Independent Partner Selection and the Evolution of Innovation Networks," Management Science, INFORMS, vol. 56(11), pages 2094-2110, November.
    4. Geraldo J. Pessoa Junior & Thiago M. R. Dias & Thiago H. P. Silva & Alberto H. F. Laender, 2020. "On interdisciplinary collaborations in scientific coauthorship networks: the case of the Brazilian community," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2341-2360, September.
    5. Muhammad Imam Ammarullah & Gatot Santoso & S. Sugiharto & Toto Supriyono & Dwi Basuki Wibowo & Ojo Kurdi & Mohammad Tauviqirrahman & J. Jamari, 2022. "Minimizing Risk of Failure from Ceramic-on-Ceramic Total Hip Prosthesis by Selecting Ceramic Materials Based on Tresca Stress," Sustainability, MDPI, vol. 14(20), pages 1-12, October.
    6. Joachim Schummer, 2004. "Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 425-465, March.
    7. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    8. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    9. Miguel R. Guevara & Dominik Hartmann & Manuel Aristarán & Marcelo Mendoza & César A. Hidalgo, 2016. "The research space: using career paths to predict the evolution of the research output of individuals, institutions, and nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1695-1709, December.
    10. Chul Lee & Gunno Park & Jina Kang, 2018. "The impact of convergence between science and technology on innovation," The Journal of Technology Transfer, Springer, vol. 43(2), pages 522-544, April.
    11. Yoonjung Jung & Euiseok Kim & Wonjoon Kim, 2021. "The scientific and technological interdisciplinary research of government research institutes: network analysis of the innovation cluster in South Korea," Policy Studies, Taylor & Francis Journals, vol. 42(2), pages 132-151, March.
    12. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
    13. Caviggioli, Federico, 2016. "Technology fusion: Identification and analysis of the drivers of technology convergence using patent data," Technovation, Elsevier, vol. 55, pages 22-32.
    14. Daniela Martini & Giada Ragone & Francesco Cazzini & Federica Cheli & Giulia Formici & Caterina A. M. La Porta & Luciano Pinotti & Livia Pomodoro & Patrizia Restani & Lucia Scaffardi & Gabriella Tedes, 2021. "The Need for A Multidisciplinary Approach to Face Challenges Related to Food, Health, and Sustainability: The Contribution of CRC I-WE," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
    15. Yan, Zheming & Du, Keru & Yang, Zhiming & Deng, Min, 2017. "Convergence or divergence? Understanding the global development trend of low-carbon technologies," Energy Policy, Elsevier, vol. 109(C), pages 499-509.
    16. Cummings, Jonathon N. & Kiesler, Sara, 2007. "Coordination costs and project outcomes in multi-university collaborations," Research Policy, Elsevier, vol. 36(10), pages 1620-1634, December.
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