Strategic module sharing for customized service family design using a Bayesian game

Ki Moon Seung; Sim Jaehun; Shu Jun; Timothy William Simpson

doi:10.1109/SOLI.2007.4383961

Strategic module sharing for customized service family design using a Bayesian game

Ki Moon Seung, Sim Jaehun, Shu Jun, Timothy William Simpson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

The objective in this paper is to introduce a new methodology for strategic module sharing in service family design using game theory to model situations involving uncertain market environments. We extend concepts from platform-based product family design to develop a methodology for module-based service family design. A module selection problem is considered as a strategic game with incomplete information that is described by services' market share ratios and customer's preferences. We employ a Bayesian game to model uncertainty situations regarding market environments and determine strategic equilibrium solutions for selecting modules for the service family being designed. To demonstrate implementation of the proposed Bayesian game, we use a case study involving a family of banking services.

Original language	English (US)
Title of host publication	2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI
DOIs	https://doi.org/10.1109/SOLI.2007.4383961
State	Published - Dec 1 2007
Event	2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI - Philadelphia, PA, United States Duration: Aug 27 2007 → Aug 29 2007

Publication series

Name	2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

Other

Other	2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI
Country/Territory	United States
City	Philadelphia, PA
Period	8/27/07 → 8/29/07

All Science Journal Classification (ASJC) codes

Information Systems
Management Science and Operations Research

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10.1109/SOLI.2007.4383961

Cite this

Seung, K. M., Jaehun, S., Jun, S., & Simpson, T. W. (2007). Strategic module sharing for customized service family design using a Bayesian game. In 2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI Article 4383961 (2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI). https://doi.org/10.1109/SOLI.2007.4383961

@inproceedings{a38646c71c6048dabe6d0a36d72b3ab4,

title = "Strategic module sharing for customized service family design using a Bayesian game",

abstract = "The objective in this paper is to introduce a new methodology for strategic module sharing in service family design using game theory to model situations involving uncertain market environments. We extend concepts from platform-based product family design to develop a methodology for module-based service family design. A module selection problem is considered as a strategic game with incomplete information that is described by services' market share ratios and customer's preferences. We employ a Bayesian game to model uncertainty situations regarding market environments and determine strategic equilibrium solutions for selecting modules for the service family being designed. To demonstrate implementation of the proposed Bayesian game, we use a case study involving a family of banking services.",

author = "Seung, {Ki Moon} and Sim Jaehun and Shu Jun and Simpson, {Timothy William}",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/SOLI.2007.4383961",

language = "English (US)",

isbn = "1424411181",

series = "2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI",

booktitle = "2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI",

note = "2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI ; Conference date: 27-08-2007 Through 29-08-2007",

}

Seung, KM, Jaehun, S, Jun, S & Simpson, TW 2007, Strategic module sharing for customized service family design using a Bayesian game. in 2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI., 4383961, 2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI, 2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI, Philadelphia, PA, United States, 8/27/07. https://doi.org/10.1109/SOLI.2007.4383961

Strategic module sharing for customized service family design using a Bayesian game. / Seung, Ki Moon; Jaehun, Sim; Jun, Shu et al.
2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI. 2007. 4383961 (2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Strategic module sharing for customized service family design using a Bayesian game

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AU - Jaehun, Sim

AU - Jun, Shu

AU - Simpson, Timothy William

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N2 - The objective in this paper is to introduce a new methodology for strategic module sharing in service family design using game theory to model situations involving uncertain market environments. We extend concepts from platform-based product family design to develop a methodology for module-based service family design. A module selection problem is considered as a strategic game with incomplete information that is described by services' market share ratios and customer's preferences. We employ a Bayesian game to model uncertainty situations regarding market environments and determine strategic equilibrium solutions for selecting modules for the service family being designed. To demonstrate implementation of the proposed Bayesian game, we use a case study involving a family of banking services.

AB - The objective in this paper is to introduce a new methodology for strategic module sharing in service family design using game theory to model situations involving uncertain market environments. We extend concepts from platform-based product family design to develop a methodology for module-based service family design. A module selection problem is considered as a strategic game with incomplete information that is described by services' market share ratios and customer's preferences. We employ a Bayesian game to model uncertainty situations regarding market environments and determine strategic equilibrium solutions for selecting modules for the service family being designed. To demonstrate implementation of the proposed Bayesian game, we use a case study involving a family of banking services.

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M3 - Conference contribution

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SN - 9781424411184

T3 - 2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

BT - 2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

T2 - 2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

Y2 - 27 August 2007 through 29 August 2007

ER -

Strategic module sharing for customized service family design using a Bayesian game

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