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How Decision Complexity Affects Outcomes in Combinatorial Auctions

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  • Gediminas Adomavicius
  • Shawn P. Curley
  • Alok Gupta
  • Pallab Sanyal

Abstract

Procurement mechanisms used by businesses have evolved from simple single‐item auctions to complex multi‐unit, multi‐attribute, and multi‐object auctions and their combinations. These state‐of‐the‐art mechanisms offer many economic benefits but also introduce challenges such as the increased complexity in decision‐making for the participants. Our primary goal in this study is to study how decision complexity affects the economic outcomes and acceptability of an advanced economic mechanism: the continuous combinatorial auction. We identify three aspects of complexity—auction size, competition, and the number of active bids. We examine these complexity aspects with five types of auctions conducted with a general consumer population in an experimental environment with real payoffs. We find that various aspects of complexity affect economic outcomes in different ways. Furthermore, competition is a critical factor for conducting efficient auctions. We also conduct a secondary analysis of bidder behavior through a granular examination of clickstream data collected during the auctions. We find that decision complexity influences bidder strategies leading to differences in auction outcomes. Based on our analysis, we develop valuable insights for auction practitioners.

Suggested Citation

  • Gediminas Adomavicius & Shawn P. Curley & Alok Gupta & Pallab Sanyal, 2020. "How Decision Complexity Affects Outcomes in Combinatorial Auctions," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2579-2600, November.
  • Handle: RePEc:bla:popmgt:v:29:y:2020:i:11:p:2579-2600
    DOI: 10.1111/poms.13249
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    References listed on IDEAS

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    1. Gediminas Adomavicius & Shawn P. Curley & Alok Gupta & Pallab Sanyal, 2012. "Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions," Management Science, INFORMS, vol. 58(4), pages 811-830, April.
    2. Peter Cramton, 2013. "Spectrum Auction Design," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 42(2), pages 161-190, March.
    3. 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.
    4. Martin Bichler & Zhen Hao & Gediminas Adomavicius, 2017. "Coalition-Based Pricing in Ascending Combinatorial Auctions," Information Systems Research, INFORMS, vol. 28(1), pages 159-179, March.
    5. F. Bonomo & J. Catalán & G. Durán & R. Epstein & M. Guajardo & A. Jawtuschenko & J. Marenco, 2017. "An asymmetric multi-item auction with quantity discounts applied to Internet service procurement in Buenos Aires public schools," Annals of Operations Research, Springer, vol. 258(2), pages 569-585, November.
    6. Ravi Bapna & Paulo Goes & Alok Gupta, 2003. "Replicating Online Yankee Auctions to Analyze Auctioneers' and Bidders' Strategies," Information Systems Research, INFORMS, vol. 14(3), pages 244-268, September.
    7. Wei Chen & Milind Dawande & Ganesh Janakiraman, 2018. "Optimal Procurement Auctions Under Multistage Supplier Qualification," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 566-582, July.
    8. Jay Simon & Francois Melese, 2011. "A Multiattribute Sealed-Bid Procurement Auction with Multiple Budgets for Government Vendor Selection," Decision Analysis, INFORMS, vol. 8(3), pages 170-179, September.
    9. Goeree, Jacob K. & Holt, Charles A., 2010. "Hierarchical package bidding: A paper & pencil combinatorial auction," Games and Economic Behavior, Elsevier, vol. 70(1), pages 146-169, September.
    10. Bonner, Sarah E., 1994. "A model of the effects of audit task complexity," Accounting, Organizations and Society, Elsevier, vol. 19(3), pages 213-234, April.
    11. Jason Shachat & J. Todd Swarthout, 2010. "Procurement Auctions for Differentiated Goods," Decision Analysis, INFORMS, vol. 7(1), pages 6-22, March.
    12. Campbell, Donald J. & Gingrich, Karl F., 1986. "The interactive effects of task complexity and participation on task performance: A field experiment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 38(2), pages 162-180, October.
    13. Gediminas Adomavicius & Alok Gupta, 2005. "Toward Comprehensive Real-Time Bidder Support in Iterative Combinatorial Auctions," Information Systems Research, INFORMS, vol. 16(2), pages 169-185, June.
    14. Jessica L. Barker & Pat Barclay & H. Kern Reeve, 2012. "Within-group competition reduces cooperation and payoffs in human groups," Behavioral Ecology, International Society for Behavioral Ecology, vol. 23(4), pages 735-741.
    15. Michael H. Rothkopf & Aleksandar Pekev{c} & Ronald M. Harstad, 1998. "Computationally Manageable Combinational Auctions," Management Science, INFORMS, vol. 44(8), pages 1131-1147, August.
    16. Gail Hohner & John Rich & Ed Ng & Grant Reid & Andrew J. Davenport & Jayant R. Kalagnanam & Ho Soo Lee & Chae An, 2003. "Combinatorial and Quantity-Discount Procurement Auctions Benefit Mars, Incorporated and Its Suppliers," Interfaces, INFORMS, vol. 33(1), pages 23-35, February.
    17. Wedad J. Elmaghraby & Elena Katok & Natalia Santamaría, 2012. "A Laboratory Investigation of Rank Feedback in Procurement Auctions," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 128-144, January.
    18. Wood, Robert E., 1986. "Task complexity: Definition of the construct," Organizational Behavior and Human Decision Processes, Elsevier, vol. 37(1), pages 60-82, February.
    19. Marcelo Olivares & Gabriel Y. Weintraub & Rafael Epstein & Daniel Yung, 2012. "Combinatorial Auctions for Procurement: An Empirical Study of the Chilean School Meals Auction," Management Science, INFORMS, vol. 58(8), pages 1458-1481, August.
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    3. Abhishek Ray & Mario Ventresca & Karthik Kannan, 2021. "A Graph-Based Ant Algorithm for the Winner Determination Problem in Combinatorial Auctions," Information Systems Research, INFORMS, vol. 32(4), pages 1099-1114, December.

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