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  • Evaluating relative value of customers via data envelopment analysis

    Author(s)
    Noorizadeh, Abdollah
    Mahdiloo, Mahdi
    Saen, Reza Farzipoor
    Griffith University Author(s)
    Mahdiloo, Mahdi
    Year published
    2013
    Metadata
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    Abstract
    Purpose - The purpose of this paper is to propose a data envelopment analysis (DEA) method for customers' evaluation. Design/methodology/approach - This paper introduces a variable return to scale (VRS) cross-efficiency (one of the DEA models) to evaluate customers. This new model can consider ratio values and give a complete ranking of customers. Findings - It is found that the proposed model can evaluate customers in a multi criteria context; does not demand weights from the decision maker; and can consider both the ratio and absolute numbers. An aggressive form of the VRS model is formulated to evaluate the peer-appraisal ...
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    Purpose - The purpose of this paper is to propose a data envelopment analysis (DEA) method for customers' evaluation. Design/methodology/approach - This paper introduces a variable return to scale (VRS) cross-efficiency (one of the DEA models) to evaluate customers. This new model can consider ratio values and give a complete ranking of customers. Findings - It is found that the proposed model can evaluate customers in a multi criteria context; does not demand weights from the decision maker; and can consider both the ratio and absolute numbers. An aggressive form of the VRS model is formulated to evaluate the peer-appraisal value of customers instead of self-appraisal. Originality/value - To the best of the authors' knowledge, there is no reference that uses cross-efficiency model with the ratio values for customers' evaluation.
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    Journal Title
    Journal of Business & Industrial Marketing
    Volume
    28
    Issue
    7
    DOI
    https://doi.org/10.1108/JBIM-11-2010-0144
    Subject
    Business and Management not elsewhere classified
    Marketing not elsewhere classified
    Business and Management
    Marketing
    Publication URI
    http://hdl.handle.net/10072/60466
    Collection
    • Journal articles

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