Title

Impact of Reputation Information Sharing in an Auction-Based Job Allocation Model for Small and Medium-sized Enterprises

Abstract

This research investigates the impact of reputation information sharing in an auction-based job allocation system using a multi-agent based simulation model based on three performance measures: economic efficiency, throughput index, and penalty index. Two forms of reputation information sharing systems, dyadic and public, were implemented and studied. Dyadic reputation systems deal with one-to-one information sharing, while public reputation systems deal with many-to-many information sharing. The paper proposes a hybrid auction mechanism, which is a combination of the sealed bid and reverse auction mechanisms. Analysis of the simulation results shows that reputation information sharing benefits the system tremendously by increasing the overall economic efficiency and throughput index, while decreasing the penalty index of the system. The results also show that as the significance of reputation in the market increases, the benefits realised in terms of economic efficiency and throughput index also increases.

Department(s)

Engineering Management and Systems Engineering

Second Department

Mechanical and Aerospace Engineering

Sponsor(s)

National Science Foundation (U.S.)

Keywords and Phrases

Auction-Based Job Allocation; Multi-Agent Systems; Reputation Information Sharing; Trust Systems

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2006 Taylor & Francis Group, All rights reserved.


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