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  • Technology Selection in the Presence of Dual-Role Factors

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    Author(s)
    Farzipoor Saen, Reza
    Griffith University Author(s)
    Farzipoor Saen, Reza
    Year published
    2010
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    Abstract
    Technologies have varied strengths and weaknesses which require careful assessment by the purchasers. One of the uses of data envelopment analysis (DEA) is technology selection. The traditional models of DEA do not consider dual-role factors. The objective of this paper is to use a model for selecting the best technologies in the presence of dual-role factors. The model determines whether in a technology the factors are behaving predominantly like inputs, hence the technology would benefit from having less of the factors, like outputs where more of the factors are desirable, or where they are in equilibrium. A numerical ...
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    Technologies have varied strengths and weaknesses which require careful assessment by the purchasers. One of the uses of data envelopment analysis (DEA) is technology selection. The traditional models of DEA do not consider dual-role factors. The objective of this paper is to use a model for selecting the best technologies in the presence of dual-role factors. The model determines whether in a technology the factors are behaving predominantly like inputs, hence the technology would benefit from having less of the factors, like outputs where more of the factors are desirable, or where they are in equilibrium. A numerical example demonstrates the application of the method.
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    Journal Title
    International Journal of Advanced Operations Management
    Volume
    2
    Issue
    3/4
    DOI
    https://doi.org/10.1504/IJAOM.2010.038339
    Copyright Statement
    © 2010 Inderscience Publishers. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.
    Subject
    Technology not elsewhere classified
    Business and Management
    Publication URI
    http://hdl.handle.net/10072/36810
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    • Journal articles

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