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Title A hybrid mechanism for heterogeneous e-procurement involving a combinatorial auction and bargaining
ID_Doc 67774
Authors Huang, H; Kauffman, RJ; Xu, HY; Zhao, L
Title A hybrid mechanism for heterogeneous e-procurement involving a combinatorial auction and bargaining
Year 2013
Published Electronic Commerce Research And Applications, 12, 3
DOI 10.1016/j.elerap.2013.03.006
Abstract We discuss the design of a hybrid mechanism for e-procurement, which implements a multi-attribute combinatorial auction, followed by a bargaining process to achieve desirable procurement transaction outcomes. For the auction phase of the mechanism, we discuss incentive-compatible bidding strategies for suppliers, and how the buyer should determine the winning suppliers. In the follow-on bargaining phase, the buyer can implement a pricing strategy that views the winning suppliers as though they are in different groups. We develop a model and derive decision conditions for the buyer to formulate procurement strategy in this context. Our most important finding is that, compared with the classical Vickrey-Clarke-Groves mechanism, the proposed mechanism improves the transactional social surplus, by including the possibility of post-auction bargaining. We also consider the likelihood that such a hybrid mechanism will be able to provide sustainable business value so long as there is reasonable symmetry in bargaining power between the buyer and the supplier. We offer some thoughts on how to extend this research with approaches from behavioral economics and experimental methods. (C) 2013 Published by Elsevier B.V.
Author Keywords Bargaining; Combinatorial auctions; E-procurement; Mechanism design; Myopic best responses; Negotiation; Vickrey-Clarke-Groves mechanism
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000320599700005
WoS Category Business; Computer Science, Information Systems; Computer Science, Interdisciplinary Applications
Research Area Business & Economics; Computer Science
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