• DocumentCode
    668574
  • Title

    Logistics market segmentation based on extension classification

  • Author

    Yongzhi Ma ; Hong Gao ; Yi Ding ; Wei Liu

  • Author_Institution
    Transp. Manage. Coll., Dalian, China
  • Volume
    2
  • fYear
    2013
  • fDate
    23-24 Nov. 2013
  • Firstpage
    216
  • Lastpage
    219
  • Abstract
    The external and internal environment of an enterprise is dynamic, and logistics market segmentation under dynamic transformation can help the logistics enterprise mine potential markets and dispose resource reasonably. In this paper, logistics market segmentation under an extension transformation is executed based on extension classification. First, markets are represented with basic elements. Then, for all elements constructing dependent functions according to their values on different characters and computing dependent degrees of all elements. Finally, executing extension classification based on dependent degrees. The classification results show some changes of market segmentation under extension transformation. The validity of the algorithm is tested with a case of some logistics enterprise. The results can provide direction for logistics enterprise to choose market and formulate marketing plan.
  • Keywords
    logistics; marketing; pattern classification; strategic planning; extension classification; extension transformation; external enterprise environment; internal enterprise environment; logistics enterprise; logistics market segmentation; marketing plan formulation; potential markets; Arrays; Classification algorithms; Dynamic scheduling; Economics; Educational institutions; Investment; Logistics; extension classification; extension transformation; logistics market; market segmentation; target market;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2013 6th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-3985-5
  • Type

    conf

  • DOI
    10.1109/ICIII.2013.6703123
  • Filename
    6703123