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Multi-attribute online reverse auctions: Recent research trends

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  • Pham, Long
  • Teich, Jeffrey
  • Wallenius, Hannele
  • Wallenius, Jyrki

Abstract

This paper provides an updated overview of the rapidly developing research field of multi-attribute online reverse auctions. Our focus is on academic research, although we briefly comment on the state-of-the-art in practice. The role that Operational Research plays in such auctions is highlighted. We review decision- and game-theoretic research, experimental studies, information disclosure policies, and research on integrating and comparing negotiations and auctions. We conclude by discussing implementation issues regarding online procurement auctions in practice.

Suggested Citation

  • Pham, Long & Teich, Jeffrey & Wallenius, Hannele & Wallenius, Jyrki, 2015. "Multi-attribute online reverse auctions: Recent research trends," European Journal of Operational Research, Elsevier, vol. 242(1), pages 1-9.
    • Handle: RePEc:eee:ejores:v:242:y:2015:i:1:p:1-9
    DOI: 10.1016/j.ejor.2014.08.043
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    3. Shilei Wang & Ying Ji & M. I. M. Wahab & Dan Xu & Changbao Zhou, 2022. "A New Decision Framework of Online Multi-Attribute Reverse Auctions for Green Supplier Selection under Mixed Uncertainty," Sustainability, MDPI, vol. 14(24), pages 1-23, December.
    4. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    5. Lorentziadis, Panos L., 2020. "Competitive bidding in asymmetric multidimensional public procurement," European Journal of Operational Research, Elsevier, vol. 282(1), pages 211-220.
    6. Zhang, Juliang & Xiang, Jie & Cheng, T.C. Edwin & Hua, Guowei & Chen, Cheng, 2019. "An optimal efficient multi-attribute auction for transportation procurement with carriers having multi-unit supplies," Omega, Elsevier, vol. 83(C), pages 249-260.
    7. Zhuo Hu & Dong Huang & Congjun Rao & Xiaolin Xu, 2016. "Innovative allocation mechanism design of carbon emission permits in China under the background of a low-carbon economy," Environment and Planning B, , vol. 43(2), pages 419-434, March.
    8. Radovan Dráb & Tomáš Štofa & Radoslav Delina, 2022. "Analysis of the efficiency of electronic reverse auction settings: big data evidence," Electronic Commerce Research, Springer, vol. 22(2), pages 427-450, June.
    9. Cheng, Meng & Xu, Su Xiu & Huang, George Q., 2016. "Truthful multi-unit multi-attribute double auctions for perishable supply chain trading," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 21-37.
    10. Yu, Hao & Huang, Min & Chao, Xiuli & Yue, Xiaohang, 2022. "Truthful multi-attribute multi-unit double auctions for B2B e-commerce logistics service transactions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    11. Qian, Cheng & Anderson, Edward, 2020. "Buyer’s optimal information revelation strategy in procurement auctions," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1011-1025.
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    13. Jie Xiang & Juliang Zhang & T. C. E. Cheng & Jose Maria Sallan & Guowei Hua, 2019. "Efficient Multi-Attribute Auctions Considering Supply Disruption," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(03), pages 1-28, June.
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    15. Xiaohu Qian & Min Huang & Qingyu Zhang & Mingqiang Yin & Xingwei Wang, 2018. "Mechanism design of incentive-based reverse auctions with loss-averse 3PLs under incomplete attributes," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.

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