IDEAS home Printed from https://ideas.repec.org/a/sae/anjomc/v14y2017i2p88-93.html
   My bibliography  Save this article

Negotiation and its Complexities: A Case Study of Public Sector Negotiation with Vendors

Author

Listed:
  • S. Riasudeen
  • Cyril R. Fernandez

Abstract

This case is about the negotiation process carried out by the chief procurement officer (CPO) of a leading public sector unit in India. When the company receives an order, the order is materialized by using electric equipment in large quantity. Due to changes in the business situation, the company realizes that it may not be possible to purchase the equipment that they require at the same price as before. The company has two vendors from whom they buy this equipment. Both the vendors have similar manufacturing policies and same raw material suppliers. Additionally, both the vendors have gone through some management level changes. The CPO who is responsible for the purchase of the electric equipment has to conclude the deal with the vendors and obtain the best possible price which is closest to the amount they had previously paid the vendors.

Suggested Citation

  • S. Riasudeen & Cyril R. Fernandez, 2017. "Negotiation and its Complexities: A Case Study of Public Sector Negotiation with Vendors," Asian Journal of Management Cases, , vol. 14(2), pages 88-93, September.
  • Handle: RePEc:sae:anjomc:v:14:y:2017:i:2:p:88-93
    DOI: 10.1177/0972820117712328
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972820117712328
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0972820117712328?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. Weber, Charles A. & Current, John R. & Desai, Anand, 1998. "Non-cooperative negotiation strategies for vendor selection," European Journal of Operational Research, Elsevier, vol. 108(1), pages 208-223, July.
    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. Gajanan Panchal & Vipul Jain & Naoufel Cheikhrouhou & Matthias Gurtner, 2017. "Equilibrium analysis in multi-echelon supply chain with multi-dimensional utilities of inertial players," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(4), pages 417-436, August.
    2. Ng, Wan Lung, 2008. "An efficient and simple model for multiple criteria supplier selection problem," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1059-1067, May.
    3. Lin, Rong-Ho, 2012. "An integrated model for supplier selection under a fuzzy situation," International Journal of Production Economics, Elsevier, vol. 138(1), pages 55-61.
    4. Degraeve, Zeger & Labro, Eva & Roodhooft, Filip, 2000. "An evaluation of vendor selection models from a total cost of ownership perspective," European Journal of Operational Research, Elsevier, vol. 125(1), pages 34-58, August.
    5. Salah Alden Ghasimi & Rizauddin Ramli & Nizaroyani Saibani & Khashayar Danesh Narooei, 2018. "An uncertain mathematical model to maximize profit of the defective goods supply chain by selecting appropriate suppliers," Journal of Intelligent Manufacturing, Springer, vol. 29(6), pages 1219-1234, August.
    6. Talluri, Srinivas & Narasimhan, Ram, 2003. "Vendor evaluation with performance variability: A max-min approach," European Journal of Operational Research, Elsevier, vol. 146(3), pages 543-552, May.
    7. Liao, Zhiying & Rittscher, Jens, 2007. "Integration of supplier selection, procurement lot sizing and carrier selection under dynamic demand conditions," International Journal of Production Economics, Elsevier, vol. 107(2), pages 502-510, June.
    8. Golmohammadi, Davood, 2011. "Neural network application for fuzzy multi-criteria decision making problems," International Journal of Production Economics, Elsevier, vol. 131(2), pages 490-504, June.
    9. Baskaran, Venkatesan & Nachiappan, Subramanian & Rahman, Shams, 2012. "Indian textile suppliers' sustainability evaluation using the grey approach," International Journal of Production Economics, Elsevier, vol. 135(2), pages 647-658.
    10. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    11. Zhu, Joe, 2004. "A buyer-seller game model for selection and negotiation of purchasing bids: Extensions and new models," European Journal of Operational Research, Elsevier, vol. 154(1), pages 150-156, April.
    12. Talluri, Srinivas, 2002. "A buyer-seller game model for selection and negotiation of purchasing bids," European Journal of Operational Research, Elsevier, vol. 143(1), pages 171-180, November.
    13. Youchao Tan & Yang Zhang & Roohollah Khodaverdi, 2017. "Service performance evaluation using data envelopment analysis and balance scorecard approach: an application to automotive industry," Annals of Operations Research, Springer, vol. 248(1), pages 449-470, January.
    14. R-H Lin, 2009. "Potential use of FP-growth algorithm for identifying competitive suppliers in SCM," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(8), pages 1135-1141, August.
    15. Talluri, Srinivas & Narasimhan, Ram & Nair, Anand, 2006. "Vendor performance with supply risk: A chance-constrained DEA approach," International Journal of Production Economics, Elsevier, vol. 100(2), pages 212-222, April.
    16. Araz, Ceyhun & Ozkarahan, Irem, 2007. "Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure," International Journal of Production Economics, Elsevier, vol. 106(2), pages 585-606, April.
    17. Talluri, Srinivas & Narasimhan, Ram, 2004. "A methodology for strategic sourcing," European Journal of Operational Research, Elsevier, vol. 154(1), pages 236-250, April.
    18. Dissanayake, C. Kalpani & Cross, Jennifer A., 2018. "Systematic mechanism for identifying the relative impact of supply chain performance areas on the overall supply chain performance using SCOR model and SEM," International Journal of Production Economics, Elsevier, vol. 201(C), pages 102-115.
    19. Evgeniya Kozlova & Vladimir Volynsky, 2016. "A fuzzy model for the evaluation of suppliers of material resources to machine-building enterprises," International Economics, University of Lodz, Faculty of Economics and Sociology, issue 15, pages 245-277, September.
    20. Xu, Jiuping & Li, Bin & Wu, Desheng, 2009. "Rough data envelopment analysis and its application to supply chain performance evaluation," International Journal of Production Economics, Elsevier, vol. 122(2), pages 628-638, December.

    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:sae:anjomc:v:14:y:2017:i:2:p:88-93. 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: SAGE Publications (email available below). General contact details of provider: .

    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.