TY - GEN
T1 - An approach to multi-stage calculation method for multiple items B2B E-commerce
AU - Takahashi, Satoshi
AU - Matsuo, Tokuro
PY - 2010
Y1 - 2010
N2 - This paper proposes a new B2B electronic commerce model by using bidding information in double auctions. In B2B electronic commerce, buyers try to purchase in multiple items at the same time, since a buyer develops something products by using purchased items. Also suppliers have an incentive of making coalitions, since buyers want to purchase in multiple items. A mechanism designer has to consider an optimal mechanism which calculates an optimal matching between buyers and suppliers. But to find an optimal matching is very hard, since a mechanism calculates all combinations between buyers and suppliers. Consequently, we propose a calculation method which has two steps, first a mechanism determines winners of buyers' side, then, determines coalitions and winners of suppliers by using the result of buyers' side. This paper also discusses the improved method with dynamical mechanism design by using the bidding information. The auction protocol trees are expressed by all possible results of auctions. The result of each auction is recorded and stored with bidding data and conditions for subsequent auctions. Advantages of this paper are that each developer can procure the components to develop a certain item and tasks are allocated to suppliers effectively. The previous result of auction data can be available to shorten the period of winner determinations.
AB - This paper proposes a new B2B electronic commerce model by using bidding information in double auctions. In B2B electronic commerce, buyers try to purchase in multiple items at the same time, since a buyer develops something products by using purchased items. Also suppliers have an incentive of making coalitions, since buyers want to purchase in multiple items. A mechanism designer has to consider an optimal mechanism which calculates an optimal matching between buyers and suppliers. But to find an optimal matching is very hard, since a mechanism calculates all combinations between buyers and suppliers. Consequently, we propose a calculation method which has two steps, first a mechanism determines winners of buyers' side, then, determines coalitions and winners of suppliers by using the result of buyers' side. This paper also discusses the improved method with dynamical mechanism design by using the bidding information. The auction protocol trees are expressed by all possible results of auctions. The result of each auction is recorded and stored with bidding data and conditions for subsequent auctions. Advantages of this paper are that each developer can procure the components to develop a certain item and tasks are allocated to suppliers effectively. The previous result of auction data can be available to shorten the period of winner determinations.
UR - https://www.scopus.com/pages/publications/78649273094
UR - https://www.scopus.com/pages/publications/78649273094#tab=citedBy
U2 - 10.1109/ICIS.2010.147
DO - 10.1109/ICIS.2010.147
M3 - Conference contribution
AN - SCOPUS:78649273094
SN - 9780769541471
T3 - Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
SP - 317
EP - 322
BT - Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
PB - IEEE Computer Society
T2 - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Y2 - 18 August 2010 through 20 August 2010
ER -