Assessing the Intention Level of Service Adoption: a 2-tuple Fuzzy Linguistic Approach

نویسندگان

  • Bo Feng
  • Wen-Li Li
  • Zhi-Ping Fan
  • Yang Liu
  • Y. LIU
چکیده

Service adoption analysis is a useful instrument for reducing the risk of new service development and launch. The purpose of this study is to develop a 2-tuple fuzzy linguistic approach for assessing the intention level of service adoption. In doing so, a theoretical framework for service adoption analysis is proposed. Under this framework, a 2-tuple fuzzy linguistic approach is then proposed for assessing the intention level of service adoption using potential adopters’ expectation and perception. In this method, a linguistic aggregation operator is defined to calculate the deviation degree between expectation and perception and to map the computation result to a linguistic value. The overall intention level of service adoption is obtained by aggregating the deviation degrees. Additionally, a case is used to illustrate the potential application of the proposed approach.

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تاریخ انتشار 2011