Abstract
A broker in an open e-marketplace enables buyers and sellers to do business with each other. Although a broker plays an important role in e-marketplaces, theory and guidelines for matching between buyers and sellers in multi-attribute exchanges are limited. Therefore, a challenge for a broker’s responsibility is how to maximize a buyer’s total satisfaction degree as its goals under the consideration of trade-off between a buyer’s buying quantity and price paid to a seller, and other attributes. To solve this challenge, this paper proposes an economic model-based matching approach between a buyer’s requirements and a seller’s offers. The major contributions of this paper are that (i) a broker can model a seller’s price policy as per a buyer’s buying quantity through communication between a broker and a seller; (ii) due to each buyer’s different quantity demand, a broker models a buyer’s satisfaction degree as per a buyer’s buying quantity based on communication between a broker and a buyer; and (iii) to carry out a broker’s matching processes, an objective function and a set of constraints are generated to help a broker to maximize a buyer’s total satisfaction degree. Experimental results demonstrate the good performance of the proposed approach.
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Dien Tuan Le received the B.Sc. degree in informatics statistics from University of Economics, The University of Da Nang, Vietnam, the master degree of Information technology from University of New England, Australia and the Ph.D. degree in computer science from University of Wollongong, Australia, in 1997, 2008 and 2017, respectively. He is currently a Lecturer in Faculty of Ecommerce, University of Economics, The University of Da Nang. His current research interests include artificial intelligent, intelligent systems and, data mining and pattern discovery in e-commerce.
Minjie Zhang received the B.Sc. and M.Sc. degrees from Fudan University, Shanghai, China, and the Ph.D. degree in computer science from University of New England, Armidale, NSW, Australia. She is currently a professor of computer science with University of Wollongong, Wollongong, NSW, Australia. She is an active researcher and has published over 100 papers in the past ten years. Her current research interests include multiagent systems and agent-based modeling in complex domains.
Fenghui Ren received the B.Sc. degree from Xidian University, Xi’an, China, in 2003, and the M. Sc. and Ph.D. degrees from University of Wollongong, Wollongong, NSW, Australia, in 2006 and 2010, respectively. He is currently an Australia Research Council Discovery Early Career Researcher Award in Australia Fellow and a Lecturer with the School of Computing and Information Technology, University of Wollongong. He is an active researcher and has published over 50 research papers. His current research interests include agent-based concept modeling of complex systems, data mining and pattern discovery in complex domains, agent-based learning, smart grid systems, and self-organizations in distributed and complex systems.
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Le, D.T., Zhang, M. & Ren, F. An Economic Model-Based Matching Approach Between Buyers and Sellers Through a Broker in an Open E-Marketplace. J. Syst. Sci. Syst. Eng. 27, 156–179 (2018). https://doi.org/10.1007/s11518-018-5362-z
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DOI: https://doi.org/10.1007/s11518-018-5362-z