Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80079
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dc.contributorDepartment of Logistics and Maritime Studies-
dc.creatorYang, ZF-
dc.creatorShi, Y-
dc.creatorWang, B-
dc.creatorYan, H-
dc.date.accessioned2018-12-21T07:14:52Z-
dc.date.available2018-12-21T07:14:52Z-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/10397/80079-
dc.description1st International Conference on Data Science, ICDS 2014, Beijing, 27-28 May 2014en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2014 Published by Elsevier B.V. Open access under CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/3.0/).en_US
dc.rightsThe following publication Yang, Z. F., Shi, Y., Wang, B., & Yan, H. (2014). Website quality and profitability evaluation in ecommerce firms using two-stage DEA model. Procedia computer science, 2014, 30, 4-13 is available at https://dx.doi.org/10.1016/j.procs.2014.05.375en_US
dc.subjectData envelopment analysisen_US
dc.subjectEcommerceen_US
dc.subjectTwo-stage DEA modelen_US
dc.subjectWebsite qualityen_US
dc.titleWebsite quality and profitability evaluation in ecommerce firms using two-stage DEA modelen_US
dc.typeConference Paperen_US
dc.identifier.spage4-
dc.identifier.epage13-
dc.identifier.volume30-
dc.identifier.doi10.1016/j.procs.2014.05.375-
dcterms.abstractThis paper decomposes ecommerce business process into website quality and profitability and measures the efficiency in each sub-stage and the whole process. By comparing with efficiency scores in CCR, BCC and Kao and Hwang (KH) (2008) model, this paper finds that CCR and BCC model overvalues efficiency scores in contrast to KH model, which also implicitly reveals the poor coordination among business processes. From a single sub-process, it is more critical to improve website quality than profitability based on either sub-stage efficiency scores or return to scale analysis, while the profitability plays a more important role in the whole stage. This paper thus gives managerial insight on resizing its scale and optimizing resource allocation.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProcedia computer science, 2014, v. 30, p. 4-13-
dcterms.isPartOfProcedia computer science-
dcterms.issued2014-
dc.identifier.scopus2-s2.0-84902529008-
dc.relation.conferenceInternational Conference on Data Science [ICDS]-
dc.description.validate201812 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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