IDEAS home Printed from https://ideas.repec.org/a/igg/jisscm/v7y2014i3p39-79.html
   My bibliography  Save this article

Lateral Collaboration in Semiconductor Industry Supply Networks: A Procurement Perspective

Author

Listed:
  • Bikram K. Bahinipati

    (Amity University Madhya Pradesh, Gwalior, India)

  • S.G. Deshmukh

    (Indian Institute of Technology Delhi, New Delhi, India)

Abstract

The interactive emphasis of vertical and horizontal collaboration in the semiconductor industry supply chain (SSC) support the buyer(s) performing procurement activities with supplier(s) through joint planning and decision-making, information sharing, resource sharing and incentive alignment. The paper proposes a framework to explore the resource sharing conditions under which enterprises are motivated to collaborate and the conditions in which such collaboration would be successful. A lateral collaboration scheme is proposed, which can be operated by the e-market intermediary to motivate buyers and suppliers to collaborate under competion. The results of this study demonstrate that the proposed collaboration mechanism yields an effective infrastructure for each members of the supply chain that supports efficient exchange of information and resources among all members. It is expected that the proposed scheme would enable the optimal capacity decision among competing suppliers for minimum expected total cost of the supply chain by appropriate selection of ordering quantity and penalty cost as imposed by the e-market intermediary. It is argued that the managerial decision-making in procurement perspective contribute to the matching between supply and demand for gaining mutual benefits.

Suggested Citation

  • Bikram K. Bahinipati & S.G. Deshmukh, 2014. "Lateral Collaboration in Semiconductor Industry Supply Networks: A Procurement Perspective," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 7(3), pages 39-79, July.
  • Handle: RePEc:igg:jisscm:v:7:y:2014:i:3:p:39-79
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijisscm.2014070103
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Guo, Yuhan & Yu, Junyu & Allaoui, Hamid & Choudhary, Alok, 2022. "Lateral collaboration with cost-sharing in sustainable supply chain optimisation: A combinatorial framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).

    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:igg:jisscm:v:7:y:2014:i:3:p:39-79. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.