IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v53y2015i22p6919-6936.html
   My bibliography  Save this article

The coevolution of interconnected relationship strategies in supply networks

Author

Listed:
  • Mohamad Sofitra
  • Katsuhiko Takahashi
  • Katsumi Morikawa

Abstract

Supply network (SN) complexity is the main challenge for managers in predicting the consequences of their firm’s relationship strategy decisions. The number of relationships and their interconnectedness constitute SN complexity and moreover, a firm’s relationships inside an SN are coevolved. It is, therefore, important to investigate how a specific relationship strategy has connected and coevolved with other types of relationship strategies in the context of a specific business situation and the interaction policies of firms. What kind of attractors of interconnected relationships will emerge?To address these issues, we model firms’ interactions inside an SN using cellular automata and complex adaptive system perspectives. Several micro-rules that mimic the drivers and mechanisms of all archetypes of relationship strategies (i.e. cooperation, defection, competition and co-opetition) were programmed inside agents. Experiments using the prisoner’s dilemma game reward schemes, representing business situation factors, have been built and the results show that the coevolution of interconnected relationship strategies coevolution causes the emergence of interesting attractors.

Suggested Citation

  • Mohamad Sofitra & Katsuhiko Takahashi & Katsumi Morikawa, 2015. "The coevolution of interconnected relationship strategies in supply networks," International Journal of Production Research, Taylor & Francis Journals, vol. 53(22), pages 6919-6936, November.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:22:p:6919-6936
    DOI: 10.1080/00207543.2014.991840
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2014.991840
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2014.991840?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. He, Zhou & Xiong, Jie & Ng, Tsan Sheng & Fan, Bo & Shoemaker, Christine A., 2017. "Managing competitive municipal solid waste treatment systems: An agent-based approach," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1063-1077.
    2. Silveira, Douglas & Vasconcelos, Silvinha, 2020. "Essays on duopoly competition with asymmetric firms: Is profit maximization always an evolutionary stable strategy?," International Journal of Production Economics, Elsevier, vol. 225(C).
    3. Wang, Jiepeng & Zhou, Hong & Zhao, Yujie, 2022. "Behavior evolution of supply chain networks under disruption risk — From aspects of time dynamic and spatial feature," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    4. Mehmet Ali Soytaş & Damla Durak Uşar & Meltem Denizel, 2022. "Estimation of the static corporate sustainability interactions," International Journal of Production Research, Taylor & Francis Journals, vol. 60(4), pages 1245-1264, February.
    5. He, Zhou & Han, Guanghua & Cheng, T.C.E. & Fan, Bo & Dong, Jichang, 2019. "Evolutionary food quality and location strategies for restaurants in competitive online-to-offline food ordering and delivery markets: An agent-based approach," International Journal of Production Economics, Elsevier, vol. 215(C), pages 61-72.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:53:y:2015:i:22:p:6919-6936. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.