IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitmx/v17y2020i04ns0219877020500297.html
   My bibliography  Save this article

A Resource Optimization Allocation Strategy for China’s Shipbuilding Industry Green Innovation System

Author

Listed:
  • Kexin Bi

    (School of Economics and Management, Harbin Engineering University, Harbin, 150001, People's Republic of China2School of Economics and Management, Harbin University of Science and Technology, Harbin, 150080, People's Republic of China)

  • Kwangil An

    (School of Economics and Management, Harbin Engineering University, Harbin, 150001 People's Republic of China4Information Center, Kim Chaek University of Technology, Pyongyang 950003, D.P.R of Korea)

  • Xiang Li

    (School of Economics and Management, Harbin Engineering University, Harbin, 150001 People's Republic of China)

Abstract

In order to realize the resource optimization allocation in the green innovation system of China’s shipbuilding industry under the internet environment, to improve the level of green innovation and to reduce the resource consumption, a resource optimization allocation model and the corresponding allocation strategy are proposed. The model integrates and shares the innovation resource data through Internet of Things (IOT) technology, and optimizes the allocation decision by using the cooperative differential game and Particle Swarm Optimization (PSO) algorithm. At the same time, it ensures the robustness of green innovation system and realizes the optimization allocation of resources. A case study is given to illustrate the feasibility of the model. The results show that the green innovation subject can carry out strategic interaction by adjusting the allocation proportion of innovation resources through the proposed model, so as to optimize the overall green innovation benefits of the system.

Suggested Citation

  • Kexin Bi & Kwangil An & Xiang Li, 2020. "A Resource Optimization Allocation Strategy for China’s Shipbuilding Industry Green Innovation System," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-25, June.
    • Handle: RePEc:wsi:ijitmx:v:17:y:2020:i:04:n:s0219877020500297
    DOI: 10.1142/S0219877020500297
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219877020500297
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219877020500297?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
    ---><---

    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 Wang, 2021. "Data allocation optimization for sensor information of internet of things," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 790-800, August.

    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:wsi:ijitmx:v:17:y:2020:i:04:n:s0219877020500297. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitm/ijitm.shtml .

    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.