Consumer and service characteristic segmentations in services marketing using a biologically systematic computational method

Ikno Kim, Junzo Watada

    研究成果: Article

    1 引用 (Scopus)

    抄録

    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.

    元の言語English
    記事番号6615974
    ページ(範囲)1227-1235
    ページ数9
    ジャーナルIEEE Systems Journal
    8
    発行部数4
    DOI
    出版物ステータスPublished - 2014 12 1

    Fingerprint

    Computational methods
    Marketing
    Polynomials

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Electrical and Electronic Engineering

    これを引用

    Consumer and service characteristic segmentations in services marketing using a biologically systematic computational method. / Kim, Ikno; Watada, Junzo.

    :: IEEE Systems Journal, 巻 8, 番号 4, 6615974, 01.12.2014, p. 1227-1235.

    研究成果: Article

    @article{3b35e9e47be549fe82bb064ff746fb32,
    title = "Consumer and service characteristic segmentations in services marketing using a biologically systematic computational method",
    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 = "Applied fuzzy method, biologically systematic computational method, consumer market segmentation, services marketing, similarity subset",
    author = "Ikno Kim and Junzo Watada",
    year = "2014",
    month = "12",
    day = "1",
    doi = "10.1109/JSYST.2013.2280850",
    language = "English",
    volume = "8",
    pages = "1227--1235",
    journal = "IEEE Systems Journal",
    issn = "1932-8184",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    number = "4",

    }

    TY - JOUR

    T1 - Consumer and service characteristic segmentations in services marketing using a biologically systematic computational method

    AU - Kim, Ikno

    AU - Watada, Junzo

    PY - 2014/12/1

    Y1 - 2014/12/1

    N2 - 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.

    AB - 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.

    KW - Applied fuzzy method

    KW - biologically systematic computational method

    KW - consumer market segmentation

    KW - services marketing

    KW - similarity subset

    UR - http://www.scopus.com/inward/record.url?scp=84913585907&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84913585907&partnerID=8YFLogxK

    U2 - 10.1109/JSYST.2013.2280850

    DO - 10.1109/JSYST.2013.2280850

    M3 - Article

    AN - SCOPUS:84913585907

    VL - 8

    SP - 1227

    EP - 1235

    JO - IEEE Systems Journal

    JF - IEEE Systems Journal

    SN - 1932-8184

    IS - 4

    M1 - 6615974

    ER -