• Title of article

    Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating

  • Author/Authors

    Hashemkhani Zolfani، نويسنده , , Sarfaraz and Aghdaie، نويسنده , , Mohammad Hasan and Derakhti، نويسنده , , Arman and Zavadskas، نويسنده , , Edmundas Kazimieras and Morshed Varzandeh، نويسنده , , Mohammad Hossein، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    11
  • From page
    7111
  • To page
    7121
  • Abstract
    Shopping malls are one of the glories of metropolises with their attractive shops and a wide variety people who are walking in order to purchase goods. Location of a shopping mall is one of the critical criteria, because it can influence the success of the project. In addition, selecting an appropriate location to establish a new shopping mall is a sophisticated, time consuming and risky decision. Commonly multi-factors should be considered in the decision making model. Thus, a comprehensive model should be considered for similar studies. Moreover, the foresight perspective can be necessary for the future competitiveness of the project. Decision makers need powerful tools for the process of the decision making, for this aim two Multiple Criteria Decision Making (MCDM) methods are applied in our model. Stepwise Weight Assessment Ratio Analysis (SWARA) is applied to decision making in order to prioritize and calculating the relative importance of the criteria. Then, Weighted Aggregated Sum Product Assessment (WASPAS) methodology is used to evaluate potential alternatives. Tehran is considered as a real example of this research and potential places for this mean considered in research. This brand-new hybrid MCDM method is presented in this research as a powerful framework is decision making. This framework can be useful as an appropriate framework for solving locating issues in other companies.
  • Keywords
    WASPAS , MCDM , Shopping mall location , Shopping mall , SWARA , Foresight perspective
  • Journal title
    Expert Systems with Applications
  • Serial Year
    2013
  • Journal title
    Expert Systems with Applications
  • Record number

    2354075