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Environmentally Friendly Supplier Selection Using Prospect Theory

Author

Listed:
  • Wei Song

    (School of Economics and Management, Xidian University, No. 2 Taibai South Street, Xi’an 710071, China)

  • Zhiya Chen

    (School of Economics and Management, Xidian University, No. 2 Taibai South Street, Xi’an 710071, China)

  • Xuping Wang

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)

  • Qian Wang

    (School of Economics and Management, Xidian University, No. 2 Taibai South Street, Xi’an 710071, China)

  • Chenghua Shi

    (School of Economics and Management, Hebei University of Engineering, No. 199, Guangming South Street, Handan 056038, China)

  • Wei Zhao

    (School of Computer, Xidian University, No. 2 Taibai South Street, Xi’an 710071, China)

Abstract

This paper proposes an optimal selection method to address the real-world problem of environmentally friendly supplier selection, based on prospect theory. This study adopted the manufacturer’s point of view, and considered the manufacturer’s psychological and behavioral factors in the process of choosing suppliers. The first step was to build supplier-selection indexes for manufacturers. Then, the study assessed the attribute of manufacturer expectations as a reference point. Next, index gains and losses were evaluated against the expectation reference point, yielding a payoff matrix and loss matrix. Finally, the study used prospect theory to calculate the comprehensive prospect value of each supplier; comprehensive prospect values were sorted in descending order to help manufacturers make the best choice.

Suggested Citation

  • Wei Song & Zhiya Chen & Xuping Wang & Qian Wang & Chenghua Shi & Wei Zhao, 2017. "Environmentally Friendly Supplier Selection Using Prospect Theory," Sustainability, MDPI, vol. 9(3), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:3:p:377-:d:92190
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    References listed on IDEAS

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    1. Deborah Minehart & Zvika Neeman, 1999. "Termination and Coordination in Partnerships," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 8(2), pages 191-221, June.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Shiromaru, Isao & Inuiguchi, Masahiro & Sakawa, Masatoshi, 2000. "A fuzzy satisficing method for electric power plant coal purchase using genetic algorithms," European Journal of Operational Research, Elsevier, vol. 126(1), pages 218-230, October.
    4. Degraeve, Zeger & Labro, Eva & Roodhooft, Filip, 2004. "Total cost of ownership purchasing of a service: The case of airline selection at Alcatel Bell," European Journal of Operational Research, Elsevier, vol. 156(1), pages 23-40, July.
    5. Chih-Chao Chung & Li-Chung Chao & Shi-Jer Lou, 2016. "The Establishment of a Green Supplier Selection and Guidance Mechanism with the ANP and IPA," Sustainability, MDPI, vol. 8(3), pages 1-24, March.
    6. J.H. Ruan & X.P. Wang & F.T.S. Chan & Y. Shi, 2016. "Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4368-4386, July.
    7. Aijun Liu & John Fowler & Michele Pfund, 2016. "Dynamic co-ordinated scheduling in the supply chain considering flexible routes," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 322-335, January.
    8. Junhu Ruan & Felix T. S. Chan & Fangwei Zhu & Xuping Wang & Jing Yang, 2016. "A Visualization Review of Cloud Computing Algorithms in the Last Decade," Sustainability, MDPI, vol. 8(10), pages 1-16, October.
    9. Ghodsypour, S. H. & O'Brien, C., 2001. "The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint," International Journal of Production Economics, Elsevier, vol. 73(1), pages 15-27, August.
    10. Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
    11. Li, Dong & Nagurney, Anna, 2015. "A general multitiered supply chain network model of quality competition with suppliers," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 336-356.
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    Cited by:

    1. Patchara Phochanikorn & Chunqiao Tan, 2019. "An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry," Sustainability, MDPI, vol. 11(7), pages 1-22, March.

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