IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v3y2015i5p434-450n5.html
   My bibliography  Save this article

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
  • Wang Zhanzhao
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/JSSI-2015-0434
    Download Restriction: no
    File URL: https://libkey.io/10.1515/JSSI-2015-0434?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
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    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. Maria De Paola & Michela Ponzo & Vincenzo Scoppa, 2018. "Are Men Given Priority for Top Jobs? Investigating the Glass Ceiling in Italian Academia," Journal of Human Capital, University of Chicago Press, vol. 12(3), pages 475-503.
    2. Attila Varga & Márton Horváth, 2014. "Institutional and regional factors behind university patenting in Europe: an exploratory spatial analysis using EUMIDA data," Chapters, in: Andrea Bonaccorsi (ed.), Knowledge, Diversity and Performance in European Higher Education, chapter 6, pages iii-iii, Edward Elgar Publishing.
    3. Manuela Gussoni, 2009. "The determinants of inter-firms R&D cooperation and partner selection. A literature overview," Discussion Papers 2009/86, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    4. Cusmano, Lucia & Morrison, Andrea & Rabellotti, Roberta, 2010. "Catching up Trajectories in the Wine Sector: A Comparative Study of Chile, Italy, and South Africa," World Development, Elsevier, vol. 38(11), pages 1588-1602, November.
    5. Bodas Freitas, Isabel Maria & Marques, Rosane Argou & Silva, Evando Mirra de Paula e, 2013. "University–industry collaboration and innovation in emergent and mature industries in new industrialized countries," Research Policy, Elsevier, vol. 42(2), pages 443-453.
    6. Hugo Pinto & Manuel Fernández-Esquinas, 2013. "Exploring knowledge-transfer dynamics in a South European region: breadth, intensity and informality of university-industry interactions in Andalusia," Chapters, in: Tüzin Baycan (ed.), Knowledge Commercialization and Valorization in Regional Economic Development, chapter 10, pages 209-237, Edward Elgar Publishing.
    7. Nihad Faissal Bassis & Fabiano Armellini, 2018. "Systems of innovation and innovation ecosystems: a literature review in search of complementarities," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1053-1080, December.
    8. Giuliani, Elisa & Pietrobelli, Carlo, 2014. "Social Network Analysis Methodologies for the Evaluation of Cluster Development Programs," Papers in Innovation Studies 2014/11, Lund University, CIRCLE - Centre for Innovation Research.
    9. Adele Parmentola & Marco Ferretti & Eva Panetti, 0. "Exploring the university-industry cooperation in a low innovative region. What differences between low tech and high tech industries?," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-28.
    10. Ana Fernández & Esther Ferrándiz & M. Dolores León, 2021. "Are organizational and economic proximity driving factors of scientific collaboration? Evidence from Spanish universities, 2001–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 579-602, January.
    11. Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila & An Yan, 2014. "Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 55-75, April.
    12. Magistretti, Stefano & Dell'Era, Claudio & Verganti, Roberto, 2020. "Searching for the right application: A technology development review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    13. Johannes Pol & Jean-Paul Rameshkoumar, 2018. "The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 307-323, January.
    14. Ewert P. J. Kleynhans & Sibulele Zwedala, 2012. "The Contribution of FDI, Technology and R&D to Spillovers in Industrial Development: A South African Firm-Level Investigation," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 10(4 (Winter), pages 341-359.
    15. Daniela Bragoli & Flavia Cortelezzi & Massimiliano Rigon, 2023. "Firms' innovation and university cooperation. New evidence from a survey of Italian firms," Temi di discussione (Economic working papers) 1400, Bank of Italy, Economic Research and International Relations Area.
    16. Manuela Presutti & Cristina Boari & Antonio Majocchi, 2013. "Inter-organizational geographical proximity and local start-ups' knowledge acquisition: a contingency approach," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 25(5-6), pages 446-467, June.
    17. Yongrae Cho & Wonjoon Kim, 2014. "Technology–industry networks in technology commercialization: evidence from Korean university patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1785-1810, March.
    18. Ryan, Paul & Geoghegan, Will & Hilliard, Rachel, 2018. "The microfoundations of firms’ explorative innovation capabilities within the triple helix framework," Technovation, Elsevier, vol. 76, pages 15-27.
    19. Fredrik Niclas Piro, 2019. "The R&D composition of European countries: concentrated versus dispersed profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1095-1119, May.
    20. Paola Cardamone & Valeria Pupo & Fernanda Ricotta, 2018. "Exploring the relationship between university and innovation: evidence from the Italian food industry," International Review of Applied Economics, Taylor & Francis Journals, vol. 32(5), pages 673-696, September.

    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:bpj:jossai:v:3:y:2015:i:5:p:434-450:n:5. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.