IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v43y2022i1p129-145.html
   My bibliography  Save this article

An agent‐based multiattribute reverse auction approach for online secondhand commodities

Author

Listed:
  • Aijun Liu
  • Yaxuan Xiao
  • Zengxian Li
  • Ruiyao Wang

Abstract

Due to the price elasticity of demand for secondhand commodities, it is difficult to establish a quantitative model for the auction. This paper proposes an agent‐based multiattribute reverse auction model to support multicommodity combinatorial auction. First, this paper establishes an agent‐based reverse auction model and introduces the framework, procedures, and protocols of the model in detail. Second, in light of the multicommodity environment, the targets, protocols, auction strategies, and approaches are identified. Finally, by using the proposed agent‐based auction model, both buyers and sellers will reach simultaneous agreements on the details of the commodities to complete the auction.

Suggested Citation

  • Aijun Liu & Yaxuan Xiao & Zengxian Li & Ruiyao Wang, 2022. "An agent‐based multiattribute reverse auction approach for online secondhand commodities," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 129-145, January.
    • Handle: RePEc:wly:mgtdec:v:43:y:2022:i:1:p:129-145
    DOI: 10.1002/mde.3363
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3363
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.3363?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. Ghate, Archis, 2015. "Optimal minimum bids and inventory scrapping in sequential, single-unit, Vickrey auctions with demand learning," European Journal of Operational Research, Elsevier, vol. 245(2), pages 555-570.
    2. Paul Milgrom, 2000. "Putting Auction Theory to Work: The Simultaneous Ascending Auction," Journal of Political Economy, University of Chicago Press, vol. 108(2), pages 245-272, April.
    3. Kokott, Gian-Marco & Bichler, Martin & Paulsen, Per, 2019. "The beauty of Dutch: Ex-post split-award auctions in procurement markets with diseconomies of scale," European Journal of Operational Research, Elsevier, vol. 278(1), pages 202-210.
    4. Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2017. "First‐Price Auctions With General Information Structures: Implications for Bidding and Revenue," Econometrica, Econometric Society, vol. 85, pages 107-143, January.
    5. Li, Zhen & Yue, Jinfeng & Kuo, Ching-Chung, 2018. "Design of discrete Dutch auctions with consideration of time," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1159-1171.
    6. Marta Jakowczyk & João Quariguasi Frota Neto & Andrew Gibson & Luk N. Van Wassenhove, 2017. "Understanding the market for remanufactured products: what can we learn from online trading and Web search sites?," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3465-3479, June.
    7. Oktay Karabağ & Barış Tan, 2019. "An empirical analysis of the main drivers affecting the buyer surplus in E-auctions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(11), pages 3435-3465, June.
    8. Guo, Sini & Yu, Lean & Li, Xiang & Kar, Samarjit, 2016. "Fuzzy multi-period portfolio selection with different investment horizons," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1026-1035.
    9. Haufe, Marie-Christin & Ehrhart, Karl-Martin, 2018. "Auctions for renewable energy support – Suitability, design, and first lessons learned," Energy Policy, Elsevier, vol. 121(C), pages 217-224.
    10. Brisset, Karine & Cochard, François & Le Gallo, Julie, 2015. "Secret versus public reserve price in an “outcry” English procurement auction: Experimental results," International Journal of Production Economics, Elsevier, vol. 169(C), pages 285-298.
    11. Jingsi Huang & Jie Song, 2018. "Optimal inventory control with sequential online auction in agriculture supply chain: an agent-based simulation optimisation approach," International Journal of Production Research, Taylor & Francis Journals, vol. 56(6), pages 2322-2338, March.
    12. 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.
    13. Yiwei Chen & Vivek F. Farias & Nikolaos Trichakis, 2019. "On the Efficacy of Static Prices for Revenue Management in the Face of Strategic Customers," Management Science, INFORMS, vol. 65(12), pages 5535-5555, December.
    14. Huang, Min & Qian, Xiaohu & Fang, Shu-Cherng & Wang, Xingwei, 2016. "Winner determination for risk aversion buyers in multi-attribute reverse auction," Omega, Elsevier, vol. 59(PB), pages 184-200.
    15. Chunxia Yu & T.N. Wong & Zhi Li, 2017. "A hybrid multi-agent negotiation protocol supporting supplier selection for multiple products with synergy effect," International Journal of Production Research, Taylor & Francis Journals, vol. 55(1), pages 18-37, January.
    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. Guo, Jiantao & Zhang, Juliang & Cheng, T.C.E. & Zhao, Shouting, 2022. "Truthful double auction mechanisms for online freight platforms with transaction costs," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 164-186.
    2. Paulsen, Per & Bichler, Martin & Kokott, Gian-Marco, 2021. "The beauty of Dutch: Bidding behavior in combinatorial first-price procurement auctions," European Journal of Operational Research, Elsevier, vol. 291(2), pages 711-721.
    3. 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).
    4. Alexander Teytelboym & Shengwu Li & Scott Duke Kominers & Mohammad Akbarpour & Piotr Dworczak, 2021. "Discovering Auctions: Contributions of Paul Milgrom and Robert Wilson," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(3), pages 709-750, July.
    5. Xu, Su Xiu & Guo, Ren-Yong & Zhai, Yue & Feng, Jianghong & Ning, Yu, 2024. "Toward a positive compensation policy for rail transport via mechanism design: The case of China Railway Express," Transport Policy, Elsevier, vol. 146(C), pages 322-342.
    6. Hongpeng Guo & Zhihao Lv & Junyi Hua & Hongxu Yuan & Qingyu Yu, 2021. "Design of Combined Auction Model for Emission Rights of International Forestry Carbon Sequestration and Other Pollutants Based on SMRA," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
    7. Le, Phuong, 2018. "Pareto optimal budgeted combinatorial auctions," Theoretical Economics, Econometric Society, vol. 13(2), May.
    8. Taisuke Otsu & Martin Pesendorfer & Yuya Sasaki & Yuya Takahashi, 2022. "Estimation Of (Static Or Dynamic) Games Under Equilibrium Multiplicity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1165-1188, August.
    9. Parag A. Pathak & Alex Rees-Jones & Tayfun Sönmez, 2020. "Immigration Lottery Design: Engineered and Coincidental Consequences of H-1B Reforms," NBER Working Papers 26767, National Bureau of Economic Research, Inc.
    10. Liu, Hui-hui & Song, Yao-yao & Liu, Xiao-xiao & Yang, Guo-liang, 2020. "Aggregating the DEA prospect cross-efficiency with an application to state key laboratories in China," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    11. Ingebretsen Carlson, Jim, 2015. "An Approximate Auction," Working Papers 2015:19, Lund University, Department of Economics.
    12. Kocourek, Pavel & Steiner, Jakub & Stewart, Colin, 2024. "Boundedly rational demand," Theoretical Economics, Econometric Society, vol. 19(4), November.
    13. A. Talman & Zaifu Yang, 2015. "An efficient multi-item dynamic auction with budget constrained bidders," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(3), pages 769-784, August.
    14. Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2016. "Selling to Intermediaries: Optimal Auction Design in a Common Value Model," Cowles Foundation Discussion Papers 2064R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2017.
    15. Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2022. "Counterfactuals with Latent Information," American Economic Review, American Economic Association, vol. 112(1), pages 343-368, January.
    16. Tommaso Denti & Doron Ravid, 2023. "Robust Predictions in Games with Rational Inattention," Papers 2306.09964, arXiv.org.
    17. Melliger, Marc, 2023. "Quantifying technology skewness in European multi-technology auctions and the effect of design elements and other driving factors," Energy Policy, Elsevier, vol. 175(C).
    18. Anthony M. Kwasnica & John O. Ledyard & Dave Porter & Christine DeMartini, 2005. "A New and Improved Design for Multiobject Iterative Auctions," Management Science, INFORMS, vol. 51(3), pages 419-434, March.
    19. Martin Bichler & Pasha Shabalin & Jürgen Wolf, 2013. "Do core-selecting Combinatorial Clock Auctions always lead to high efficiency? An experimental analysis of spectrum auction designs," Experimental Economics, Springer;Economic Science Association, vol. 16(4), pages 511-545, December.
    20. Damian R. Beil & Lawrence M. Wein, 2009. "A Pooling Analysis of Two Simultaneous Online Auctions," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 33-51, October.

    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:wly:mgtdec:v:43:y:2022:i:1:p:129-145. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.