IDEAS home Printed from https://ideas.repec.org/a/ids/ijmtma/v31y2017i1-2-3p176-191.html
   My bibliography  Save this article

The evolution and transformation of industrial clusters: a conceptual model

Author

Listed:
  • Lise Lillebrygfjeld Halse

Abstract

Building on a global supply chain perspective, this paper aims at developing a conceptual model, which describes and explains the emergence and transformation of industrial clusters over time and in line with the recent development with globalisation of cluster value chains. The model puts particular emphasis on governance as an exponent and agent for change. It incorporates the cluster 'macroculture', which links the macro and transaction levels in the cluster, in order to explain cluster changes and transformations. The case of the maritime cluster in North West Norway is used to demonstrate the applicability of the approach. However, the model is applicable when studying industrial clusters, in general, and in particular in emerging economies experiencing rapid growth.

Suggested Citation

  • Lise Lillebrygfjeld Halse, 2017. "The evolution and transformation of industrial clusters: a conceptual model," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 31(1/2/3), pages 176-191.
    • Handle: RePEc:ids:ijmtma:v:31:y:2017:i:1/2/3:p:176-191
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=82013
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Shi, Xin & Wang, Ying & Zhuang, Hui & Li, Huan & Jiang, Haizhou & Xu, Dong, 2021. "Global hierarchy of maritime clusters: Stability and reconstruction," Journal of Transport Geography, Elsevier, vol. 96(C).
    2. Koliousis, Ioannis G. & Papadimitriou, Stratos & Riza, Elena & Stavroulakis, Peter J. & Tsioumas, Vangelis, 2019. "Strategic correlations for maritime clusters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 43-57.
    3. Shi, Xin & Jiang, Haizhou & Li, Huan & Wang, Ying, 2020. "Upgrading port-originated maritime clusters: Insights from Shanghai's experience," Transport Policy, Elsevier, vol. 87(C), pages 19-32.
    4. Shi, Xin & Jiang, Haizhou & Li, Huan & Xu, Dong, 2020. "Maritime cluster research: Evolutionary classification and future development," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 237-254.

    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:ids:ijmtma:v:31:y:2017:i:1/2/3:p:176-191. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=21 .

    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.