Paper Info
Title
Combining Behavioral Experiments And Agent-Based Social Simulation To Support Trust-Aware Decision-Making In Supply Chains
Abstract
Trust is seen as one of the most important dimensions in developing and maintaining fruitful business relationships and has deep impact on the decision-making process in the supply chain planning. Despite its importance, very limited research has been done in the trust-aware decision-making field. This paper aims to experimentally examine how trust can be assessed over different dimensions and then be used to support decision-making in order to reduce the Bullwhip Effect, which is one of the biggest efficiency problems shown by supply chains of highly interconnected organizations. As industry is generally reluctant to provide data due to privacy concerns and trade secret protection, the authors of this paper, designed and conducted a web-based trust behavioral experiment. The data collected was used to evaluate the proposed trust mechanism through an Agent-Based Social Simulation. The results revealed that it is possible to infer trust relationships from behavioral experiments and historical based data, and use these relationships to influence the procurement, ordering and information sharing process. Although additional research is still necessary, the preliminary results revealed that the use of computational trust mechanisms can be helpful to lower the Bullwhip Effect.
Year
DOI
Venue
2017
10.5220/0006200802600267
ICAART: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1
Keywords
Field
DocType
Social Simulation, Trust, Bullwhip Effect, ABSS, Behavioral Experiment, Behavior Modeling
Computer science,Agent-based social simulation,Knowledge management,Supply chain
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Diego de S. Braga122.13
Marco Niemann200.34
bernd hellingrath36318.39
Fernando Buarque de Lima Neto49416.55