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Unraveling the dynamics and identifying the “superstars” of R&D alliances in IUR collaboration: a two-mode network analysis in China

Author

Listed:
  • Zeyu Xing

    (Wuhan University
    Wuhan University)

  • Li Wang

    (Zhejiang Laboratory
    Zhejiang Laboratory)

  • Debin Fang

    (Wuhan University
    Wuhan University)

Abstract

The collaborations between industry, university, and research institutes have become more relevant with the trend of knowledge commercialization, while whether there exists a “superstar” in R&D alliance networks, who played a key role in the diffusion and transfer of technology and knowledge, remains unexplored. Based on R&D activities information of joint patents in China, this study applied two-mode network analysis to understand the R&D alliance network of the industry-university-research institute (IUR) collaboration. Three types of networks, collaboration networks, knowledge networks, and inter-organizational technology networks among IUR are developed, and their evolution process is analyzed at different levels, including overall structure, individual characteristics, and temporal evolution among IUR. The results show that no permanent superstar is being the dominant position. Distinct modes have been emerging in different periods: in the formation period, the mode is U-R, I-U, U, R, I; in the growth period, the mode is I-R, I-U, I-U-R; in the mature period, the mode is I-U-R. In addition, different technology classes were aggregated in different periods. This paper attempts to provide countermeasures and recommendations for enterprises, universities, and research institutions to enable the success of their collaborations.

Suggested Citation

  • Zeyu Xing & Li Wang & Debin Fang, 2023. "Unraveling the dynamics and identifying the “superstars” of R&D alliances in IUR collaboration: a two-mode network analysis in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-19, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02430-2
    DOI: 10.1057/s41599-023-02430-2
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    1. Wei Yang & Xiang Yu & Dian Wang & Jinrui Yang & Ben Zhang, 2021. "Spatio-temporal evolution of technology flows in China: patent licensing networks 2000–2017," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1674-1703, October.
    2. Alberto Pepe, 2011. "The relationship between acquaintanceship and coauthorship in scientific collaboration networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2121-2132, November.
    3. Thanh Trung Vo & Saeid Nezamabadi & Patrick Mutabaruka & Jean-Yves Delenne & Farhang Radjai, 2020. "Additive rheology of complex granular flows," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    4. Marco Tortoriello & Ray Reagans & Bill McEvily, 2012. "Bridging the Knowledge Gap: The Influence of Strong Ties, Network Cohesion, and Network Range on the Transfer of Knowledge Between Organizational Units," Organization Science, INFORMS, vol. 23(4), pages 1024-1039, August.
    5. Alberto Pepe, 2011. "The relationship between acquaintanceship and coauthorship in scientific collaboration networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(11), pages 2121-2132, November.
    6. Dibiaggio, Ludovic & Nasiriyar, Maryam & Nesta, Lionel, 2014. "Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies," Research Policy, Elsevier, vol. 43(9), pages 1582-1593.
    7. Hyunseok Park & Janghyeok Yoon, 2014. "Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 853-890, February.
    8. Kafouros, Mario & Wang, Chengqi & Piperopoulos, Panagiotis & Zhang, Mingshen, 2015. "Academic collaborations and firm innovation performance in China: The role of region-specific institutions," Research Policy, Elsevier, vol. 44(3), pages 803-817.
    9. Lachang Lyu & Weiping Wu & Haipeng Hu & Ru Huang, 2019. "An evolving regional innovation network: collaboration among industry, university, and research institution in China’s first technology hub," The Journal of Technology Transfer, Springer, vol. 44(3), pages 659-680, June.
    10. Corey C. Phelps, 2010. "A longitudinal study of the influence of alliance network structure and composition on firm exploratory innovation," Post-Print hal-00528392, HAL.
    11. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    12. Hilal Atasoy & Pei-yu Chen & Kartik Ganju, 2018. "The Spillover Effects of Health IT Investments on Regional Healthcare Costs," Management Science, INFORMS, vol. 64(6), pages 2515-2534, June.
    13. Srikanth Paruchuri & Snehal Awate, 2017. "Organizational knowledge networks and local search: The role of intra‐organizational inventor networks," Strategic Management Journal, Wiley Blackwell, vol. 38(3), pages 657-675, March.
    14. Mengting Maggie Yuan & Xue Guo & Linwei Wu & Ya Zhang & Naijia Xiao & Daliang Ning & Zhou Shi & Xishu Zhou & Liyou Wu & Yunfeng Yang & James M. Tiedje & Jizhong Zhou, 2021. "Climate warming enhances microbial network complexity and stability," Nature Climate Change, Nature, vol. 11(4), pages 343-348, April.
    15. Haiyan Hou & Hildrun Kretschmer & Zeyuan Liu, 2008. "The structure of scientific collaboration networks in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 189-202, May.
    16. Céline Flipo & Pier Vittorio Mannucci & Kevyn Yong, 2023. "The impact of cultural tightness on the relationship between structural holes, tie strength, and creativity," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(2), pages 332-343, March.
    17. Sprong, Niels & Driessen, Paul H. & Hillebrand, Bas & Molner, Sven, 2021. "Market innovation: A literature review and new research directions," Journal of Business Research, Elsevier, vol. 123(C), pages 450-462.
    18. repec:hal:spmain:info:hdl:2441/43aq8ffdqb82sbffkv69bt1eaa is not listed on IDEAS
    19. Hershberg, Eric & Nabeshima, Kaoru & Yusuf, Shahid, 2007. "Opening the Ivory Tower to Business: University-Industry Linkages and the Development of Knowledge-Intensive Clusters in Asian Cities," World Development, Elsevier, vol. 35(6), pages 931-940, June.
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