• DocumentCode
    31956
  • Title

    Consumer and Service Characteristic Segmentations in Services Marketing Using a Biologically Systematic Computational Method

  • Author

    Ikno Kim ; Watada, Junzo

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • Volume
    8
  • Issue
    4
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    1227
  • Lastpage
    1235
  • Abstract
    In the field of services marketing, consumers can be segmented into separate subgroups with homogeneous service requirements in the process of consumer market segmentation. In this process, a computable number of consumers and the services that they can select are not difficult to handle. However, when there is a large consumer base and the services that the consumers can select have multiple shared and distinct characteristics, measurement and segmentation in polynomial time are extremely difficult. Therefore, in this paper, we propose a biologically systematic computational method that would be appropriate for the segmentation of consumer and service characteristics. We also demonstrate the application of this biologically systematic computational method to a services marketing problem model.
  • Keywords
    computational complexity; marketing; biologically systematic computational method; consumer market segmentation process; polynomial time; service characteristic segmentations; service marketing; Biological system modeling; Computational modeling; Consumer behavior; DNA; Fuzzy logic; Applied fuzzy method; biologically systematic computational method; consumer market segmentation; services marketing; similarity subset;
  • fLanguage
    English
  • Journal_Title
    Systems Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1932-8184
  • Type

    jour

  • DOI
    10.1109/JSYST.2013.2280850
  • Filename
    6615974