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A buyer-seller game model for selection and negotiation of purchasing bids: Extensions and new models

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  • Zhu, Joe

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  • 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.
    • Handle: RePEc:eee:ejores:v:154:y:2004:i:1:p:150-156
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    1. Charnes, A. & Cooper, W. W. & Huang, Z. M. & Sun, D. B., 1990. "Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 73-91.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Weber, Charles A. & Desai, Anand, 1996. "Determination of paths to vendor market efficiency using parallel coordinates representation: A negotiation tool for buyers," European Journal of Operational Research, Elsevier, vol. 90(1), pages 142-155, April.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. 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.
    6. 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.
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    Cited by:

    1. De Jaeger, Simon & Rogge, Nicky, 2014. "Cost-efficiency in packaging waste management: The case of Belgium," Resources, Conservation & Recycling, Elsevier, vol. 85(C), pages 106-115.
    2. Zhongbao Zhou & Mei Wang & Hui Ding & Chaoqun Ma & Wenbin Liu, 2013. "Further study of production possibility set and performance evaluation model in supply chain DEA," Annals of Operations Research, Springer, vol. 206(1), pages 585-592, July.
    3. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
    4. Athanassoglou, Stergios, 2015. "Revisiting Worst-case DEA for Composite Indicators," Climate Change and Sustainable Development 198712, Fondazione Eni Enrico Mattei (FEEM).
    5. Verbunt, Pim & Rogge, Nicky, 2018. "Geometric composite indicators with compromise Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 264(1), pages 388-401.
    6. 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.
    7. Stergios Athanassoglou, 2016. "Revisiting Worst-Case DEA for Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1259-1272, September.
    8. Lozano, S., 2012. "Information sharing in DEA: A cooperative game theory approach," European Journal of Operational Research, Elsevier, vol. 222(3), pages 558-565.
    9. Li, Yongjun & Xie, Jianhui & Wang, Meiqiang & Liang, Liang, 2016. "Super efficiency evaluation using a common platform on a cooperative game," European Journal of Operational Research, Elsevier, vol. 255(3), pages 884-892.
    10. Jason West, 2015. "Capital valuation and sustainability: a data programming approach," Review of Quantitative Finance and Accounting, Springer, vol. 45(3), pages 591-608, October.

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