A Computational Agent-Based Modeling Approach for Competitive Wireless Service Market
KAUST Grant NumberKUS-C1-016-04
Permanent link to this recordhttp://hdl.handle.net/10754/597241
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AbstractUsing an agent-based modeling method, we study market dynamism with regard to wireless cellular services that are in competition for a greater market share and profit. In the proposed model, service providers and consumers are described as agents who interact with each other and actively participate in an economically well-defined marketplace. Parameters of the model are optimized using the Levenberg-Marquardt method. The quantitative prediction capabilities of the proposed model are examined through data reproducibility using past data from the U.S. and Korean wireless service markets. Finally, we investigate a disruptive market event, namely the introduction of the iPhone into the U.S. in 2007 and the resulting changes in the modeling parameters. We predict and analyze the impacts of the introduction of the iPhone into the Korean wireless service market assuming a release date of 2Q09 based on earlier data. © 2011 IEEE.
CitationDouglas CC, Hyoseop Lee, Wonsuck Lee (2011) A Computational Agent-Based Modeling Approach for Competitive Wireless Service Market. 2011 International Conference on Information Science and Applications. Available: http://dx.doi.org/10.1109/ICISA.2011.5772356.
SponsorsWonsuck Lee’s research was supported by a SeoulMetropolitan Government work program grant WR08095.Craig Douglas’ research was supported in part by NSF grantsCNS-1018072 and CNS-1018079 and Award No. KUS-C1-016-04, made by King Abdullah University of Science andTechnology (KAUST).