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Generating Behavior in the University-Industry Collaboration Network: Based on the Configuration of Motifs

Author

Listed:
  • Zhou Wen

    (School of Information Systems and Management, National University of Defense Technology, Changsha410073, China)

  • Chen Wei

    (School of Economics and Management, Harbin Engineering University, Harbin150001, China)

  • Wang Zhanzhao

    (School of Economics and Management, Harbin Engineering University, Harbin150001, China)

  • Ma Yonghong

    (School of Economics and Management, Harbin Engineering University, Harbin150001, China)

Abstract

University-industry collaboration networks consist of heterogeneous subjects; in fact, the interactions among these subjects lead to the emergence of the complex characteristics of university-industry collaboration networks and even to the emergence of the networks themselves. Thus, understanding the behavior that generates university-industry collaboration networks is essential to their construction and optimization. To more fully comprehend this generating behavior, we considered a university-industry collaboration network in the ocean energy industry in China as a case study. Employing the motif analysis method, we analyze the network’s generating behavior from four perspectives: motif characteristics, motif classification, motif combination and motif clustering. Furthermore, we explore agents’ modes of adaptive collaboration — and the causes of such collaborations — and summarize the characteristics and modes of networks’ generating behavior. The results indicate that universities and industries tend to form highly stable and close cooperative relationships. The constraints of the network’s generating behavior — which influences the subjects’ interactions through relational and structural embeddedness — include asymmetric information, resource and cost constraints, risk aversion and geographical constraints. Our research presents the benefits of using the motif analysis method to study the network’s generating behavior and its implications in constructing and optimizing a university-industry collaboration network.

Suggested Citation

  • Zhou Wen & Chen Wei & Wang Zhanzhao & Ma Yonghong, 2015. "Generating Behavior in the University-Industry Collaboration Network: Based on the Configuration of Motifs," Journal of Systems Science and Information, De Gruyter, vol. 3(5), pages 434-450, October.
    • Handle: RePEc:bpj:jossai:v:3:y:2015:i:5:p:434-450:n:5
    DOI: 10.1515/JSSI-2015-0434
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    References listed on IDEAS

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    1. Stolwijk, C.C.M. & Ortt, J.R. & den Hartigh, E., 2013. "The joint evolution of alliance networks and technology: A survey of the empirical literature," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1287-1305.
    2. Salehi, Mostafa & Rabiee, Hamid R. & Jalili, Mahdi, 2010. "Motif structure and cooperation in real-world complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(23), pages 5521-5529.
    3. Giuliani, Elisa & Arza, Valeria, 2009. "What drives the formation of 'valuable' university-industry linkages?: Insights from the wine industry," Research Policy, Elsevier, vol. 38(6), pages 906-921, July.
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