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dc.contributor.authorChiu, Wan-Yuen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.contributor.authorLi, Han-Linen_US
dc.date.accessioned2014-12-08T15:29:13Z-
dc.date.available2014-12-08T15:29:13Z-
dc.date.issued2013-01-01en_US
dc.identifier.issn0950-7051en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.knosys.2012.06.017en_US
dc.identifier.urihttp://hdl.handle.net/11536/21065-
dc.description.abstractMany consumers today buy products and services from e-stores. Because e-store managers are responsible for allocating different resources, it is essential that they understand consumers' shopping behaviour to provide the best possible value for visitors to their websites. Therefore, the purpose of this article is to focus on assessing and improving strategies to reduce the gaps in customer satisfaction caused by interdependence and feedback problems among dimensions and criteria to achieve the aspiration level. We propose a new hybrid Multiple Attribute Decision Making (MADM) model, combining the Decision Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based Analytic Network Process (DANP), and Vlsekriterijumsko KOmpromisno Rangiranje (VIKOR) methods to solve these problems. Then, three real cases are used to illustrate how the proposed new hybrid Multiple Criteria Decision-Making (MCDM) model improves e-store business. These results can provide e-store managers with a knowledge-based understanding of how to create marketing strategies that reduce the performance gaps of dimensions and criteria to satisfy consumers' needs and encourage customers to purchase more. Crown Copyright (C) 2012 Published by Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjecte-Store businessen_US
dc.subjectInternet storesen_US
dc.subjectCustomers' needsen_US
dc.subjectMarketing strategiesen_US
dc.subjectMultiple Criteria Decision-Making (MCDM)en_US
dc.subjectDEMATELen_US
dc.subjectAnalytic Network Process (ANP)en_US
dc.subjectDEMATEL-based ANP (DANP)en_US
dc.subjectVIKORen_US
dc.titleA new hybrid MCDM model combining DANP with VIKOR to improve e-store businessen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.knosys.2012.06.017en_US
dc.identifier.journalKNOWLEDGE-BASED SYSTEMSen_US
dc.citation.volume37en_US
dc.citation.issueen_US
dc.citation.spage48en_US
dc.citation.epage61en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000313761800004-
dc.citation.woscount8-
Appears in Collections:Articles


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