Technology Selection in the Presence of Dual-Role Factors
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Author(s)
Farzipoor Saen, Reza
Griffith University Author(s)
Year published
2010
Metadata
Show full item recordAbstract
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 ...
View more >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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View more >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.
View less >
Journal Title
International Journal of Advanced Operations Management
Volume
2
Issue
3/4
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