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    Estimating relative attractiveness of locations using data envelopment analysis

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    Authors
    Ramanathan, Ramakrishnan
    Issue Date
    2009
    Subjects
    competitive facility location
    Huff model
    data envelopment analysis
    
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    Abstract
    Competitive facility location problems involve identifying the best location of a facility that can capture maximum market share in the presence of competition. One of the most popular models for competitive facility location, namely the Huff model, considers only two factors for deciding a good location. This model is not considered very realistic and efforts have been made to improve the model by including additional factors. In this paper, an extension of the Huff model to consider multiple factors using data envelopment analysis (DEA) is proposed. Since DEA computes the weights (measuring the influence) of factors implicitly using linear programming, there is no need for externally specifying their values. The proposed model is applied for estimating the market share of selected tourist destinations in the Sultanate of Oman. The results of the proposed model agree with the findings of a tourism survey conducted in the country.
    Citation
    Ramakrishnan, R. (2009) 'Estimating relative attractiveness of locations using Data Envelopment Analysis', International Journal of Business Performance and Supply Chain Modelling, 1(1), pp. 99–113.
    Publisher
    Inderscience Publishers
    Journal
    International Journal of Business Performance and Supply Chain Modelling
    URI
    http://hdl.handle.net/10547/295098
    DOI
    10.1504/IJBPSCM.2009.026268
    Additional Links
    http://www.inderscience.com/info/inarticle.php?artid=26268
    Type
    Article
    Language
    en
    ISSN
    1758-9401
    ae974a485f413a2113503eed53cd6c53
    10.1504/IJBPSCM.2009.026268
    Scopus Count
    Collections
    Business and Information Systems Research Centre (BISC)

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