2.50
Hdl Handle:
http://hdl.handle.net/10547/295098
Title:
Estimating relative attractiveness of locations using data envelopment analysis
Authors:
Ramanathan, Ramakrishnan ( 0000-0002-8861-2209 )
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
Issue Date:
2009
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
Appears in Collections:
Business and Information Systems Research Centre (BISC)

Full metadata record

DC FieldValue Language
dc.contributor.authorRamanathan, Ramakrishnanen_GB
dc.date.accessioned2013-07-03T08:00:32Z-
dc.date.available2013-07-03T08:00:32Z-
dc.date.issued2009-
dc.identifier.citationRamakrishnan, 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.en_GB
dc.identifier.issn1758-9401-
dc.identifier.doi10.1504/IJBPSCM.2009.026268-
dc.identifier.urihttp://hdl.handle.net/10547/295098-
dc.description.abstractCompetitive 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.en_GB
dc.language.isoenen
dc.publisherInderscience Publishersen_GB
dc.relation.urlhttp://www.inderscience.com/info/inarticle.php?artid=26268en_GB
dc.subjectcompetitive facility locationen_GB
dc.subjectHuff modelen_GB
dc.subjectdata envelopment analysisen_GB
dc.titleEstimating relative attractiveness of locations using data envelopment analysisen
dc.typeArticleen
dc.identifier.journalInternational Journal of Business Performance and Supply Chain Modellingen_GB
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