Author List: Adomavicius, Gediminas; Gupta, Alok; Sanyal, Pallab;
Journal of Management Information Systems, 2012, Volume 28, Issue 4, Page 199-230.
Electronic auctions are increasingly being used to facilitate the procurement of goods and services in organizations. Multiattribute auctions, which allow bids on multiple dimensions of the product and not just price, are information technology-enabled sourcing mechanisms that can increase the efficiency of procurement for configurable goods and services compared to price-only auctions. Given the strategic nature of procurement auctions, the amount of information concerning the buyer's preferences that is disclosed to the suppliers has implications on the profits of the buyer and the suppliers and, consequently, on the long-term relationship between them. This study explores novel feedback schemes for multisourcing multiattribute auctions that require limited exchange of strategic information between the buyer and the suppliers. To study the impact of feedback on the outcomes and dynamics of the auctions, we conduct laboratory experiments wherein we analyze bidder behavior and economic outcomes under three different treatment conditions with different types of information feedback. Our results indicate that, in contrast to winner-take-all multiattribute auctions, multisourcing multiattribute auctions, with potentially multiple winners, allow bidders (i.e., suppliers) to extract more profit when greater transparency in terms of provisional allocations and prices is provided. We develop several insights for mechanism designers toward developing sustainable procurement auctions that efficiently allocate multiple units of an asset with multiple negotiable attributes among multiple suppliers.
Keywords: bidder behavior; experimental economics; information feedback; multiattribute auction; procurement
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List of Topics

#91 0.301 auctions auction bidding bidders bid combinatorial bids online bidder strategies sequential prices design price using outcomes behavior theoretical computational efficiency
#0 0.170 information types different type sources analysis develop used behavior specific conditions consider improve using alternative understanding data available main target
#208 0.121 feedback mechanisms mechanism ratings efficiency role effective study economic design potential economics discuss profile recent component granularity turn compared using
#52 0.112 supply chain information suppliers supplier partners relationships integration use chains technology interorganizational sharing systems procurement buyer interfirm coordination enterprises flexibility
#51 0.107 results study research experiment experiments influence implications conducted laboratory field different indicate impact effectiveness future participants evidence test controlled involving
#62 0.097 price buyers sellers pricing market prices seller offer goods profits buyer two-sided preferences purchase intermediary traditional marketplace decisions intermediaries selling
#36 0.054 competitive advantage strategic systems information sustainable sustainability dynamic opportunities capabilities environments environmental turbulence turbulent dynamics key quest create sustained ability