Show simple item record

dc.contributor.authorKumar, Anil
dc.contributor.authorDash, Manoj Kumar
dc.contributor.authorSeharawat, Ritu
dc.date.accessioned2019-01-23T11:28:37Z
dc.date.available2019-01-23T11:28:37Z
dc.date.issued2017-02-21
dc.identifier.citationUsing entropy and AHP-TOPSIS for comprehensive evaluation of internet shopping malls and solution optimality 2017, 11 (4):487 International Journal of Business Excellenceen_US
dc.identifier.issn1756-0047
dc.identifier.issn1756-0055
dc.identifier.doi10.1504/IJBEX.2017.082575
dc.identifier.urihttp://hdl.handle.net/10545/623350
dc.description.abstractConsumers are switching from offline to online to buy everything due to this reason nowadays Internet shopping malls (ISMs) are setting up a very crucial role in the economy. For assessment and ranking are basically a critical work which could be exploitation of Internet shopping malls information resources when consider in a scientific way, there are many methods for the evaluation and ranking of e-commerce sites. Taking into consideration Traffic Rank, Inbound Links, Competition, Speed, and Keyword Statistics, in literature Multi Criteria Decision Making (MCDM) methods are rarely used by the researchers to find the rank of Internet Shopping Malls (ISMs) on the basis of primary/secondary data of these influencing factors. This study, therefore, is unique to narrow down the gap in literature by employing MCDM methods i.e. Entropy and Analytic Hierarchy Process (AHP) to collect the weight of influencing factors and Technique for Order Preference by Similarity to Ideal (TOPSIS) to find the rank of Internet Shopping Malls (ISMs). After finding out the rank of selected criteria, solution optimality needs to be done to find the average ideal solution matrix. Conclusion and managerial implications of the study are also discussed.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherInderscienceen_US
dc.relation.urlhttp://www.inderscience.com/link.php?id=82575en_US
dc.rightsArchived with thanks to International Journal of Business Excellenceen
dc.subjectInternet shopping malls (ISMs)en_US
dc.subjectEntropyen_US
dc.subjectTOPSISen_US
dc.subjectTraffic Ranken_US
dc.subjectInbound Linksen_US
dc.subjectCompetitionen_US
dc.titleUsing entropy and AHP-TOPSIS for comprehensive evaluation of internet shopping malls and solution optimalityen_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.contributor.departmentIndian Institute of Information Technology and Management, Gwalior, Indiaen_US
dc.identifier.journalInternational Journal of Business Excellenceen_US
dc.dateAccepted2015-09-09
refterms.dateFOA2018-02-21T00:00:00Z


Files in this item

Thumbnail
Name:
authorFinalVersion.pdf
Size:
148Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record