A mathematical programming model for estimating the importance levels of performance criteria and an application in e-commerce

2.50
Hdl Handle:
http://hdl.handle.net/10547/224533
Title:
A mathematical programming model for estimating the importance levels of performance criteria and an application in e-commerce
Authors:
Ramanathan, Ramakrishnan ( 0000-0002-8861-2209 )
Abstract:
Similar to traditional brick-and-mortar shops, e-commerce websites also should perform well in terms of various performance criteria in order to win and retain customers. A number of e-commerce performance criteria have been identified in the literature. From the point of view of the manager of an e-commerce website, the relative importance levels customers attribute to these performance criteria are important. In this paper, we propose a new mathematical programming model for estimating the importance levels. The model is based on the Analytic Hierarchy Process and operationalised using goal programming. Application of the model highlights that the criterion “satisfaction with claims” is valued by customers as the most important criterion. This criterion requires coordination with multiple echelons of the supply chain – a clear description by the manufacturer of the product, introducing the correct description in the e-commerce website, processing customer orders accurately, and, picking and dispatching the right product from the warehouse.
Citation:
Ramanathan, R. (2012) 'A mathematical programming model for estimating the importance levels of performance criteria and an application in e-commerce' Expert systems with applications 39 (2) 2067–2072
Journal:
Expert systems with applications
Issue Date:
Feb-2012
URI:
http://hdl.handle.net/10547/224533
DOI:
10.1016/j.eswa.2011.08.011
Additional Links:
http://www.sciencedirect.com/science/article/pii/S0957417411011225
Type:
Article
Language:
en
ISSN:
0957-4174
Appears in Collections:
Business and Information Systems Research Centre (BISC)

Full metadata record

DC FieldValue Language
dc.contributor.authorRamanathan, Ramakrishnanen_GB
dc.date.accessioned2012-05-18T08:16:47Zen
dc.date.available2012-05-18T08:16:47Zen
dc.date.issued2012-02en
dc.identifier.citationRamanathan, R. (2012) 'A mathematical programming model for estimating the importance levels of performance criteria and an application in e-commerce' Expert systems with applications 39 (2) 2067–2072en_GB
dc.identifier.issn0957-4174en
dc.identifier.doi10.1016/j.eswa.2011.08.011en
dc.identifier.urihttp://hdl.handle.net/10547/224533en
dc.description.abstractSimilar to traditional brick-and-mortar shops, e-commerce websites also should perform well in terms of various performance criteria in order to win and retain customers. A number of e-commerce performance criteria have been identified in the literature. From the point of view of the manager of an e-commerce website, the relative importance levels customers attribute to these performance criteria are important. In this paper, we propose a new mathematical programming model for estimating the importance levels. The model is based on the Analytic Hierarchy Process and operationalised using goal programming. Application of the model highlights that the criterion “satisfaction with claims” is valued by customers as the most important criterion. This criterion requires coordination with multiple echelons of the supply chain – a clear description by the manufacturer of the product, introducing the correct description in the e-commerce website, processing customer orders accurately, and, picking and dispatching the right product from the warehouse.en
dc.language.isoenen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0957417411011225en
dc.subjectperformance criteriaen
dc.subjecte-commerceen
dc.subjectgoal programmingen
dc.subjectreverse AHPen
dc.subjectanalytic hierarchy processen
dc.titleA mathematical programming model for estimating the importance levels of performance criteria and an application in e-commerceen
dc.typeArticleen
dc.identifier.journalExpert systems with applicationsen_GB
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