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 proceedingConference contribution

2 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 languageEnglish (US)
Title of host publication2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI - Philadelphia, PA, United States
Duration: Aug 27 2007Aug 29 2007

Publication series

Name2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

Other

Other2007 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI
CountryUnited States
CityPhiladelphia, PA
Period8/27/078/29/07

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Management Science and Operations Research

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