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
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;
Journal_Title :
Systems Journal, IEEE
DOI :
10.1109/JSYST.2013.2280850