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dc.contributor.authorChiu, Wan-Yuen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.contributor.authorLi, Han-Linen_US
dc.date.accessioned2014-12-08T15:26:49Z-
dc.date.available2014-12-08T15:26:49Z-
dc.date.issued2010en_US
dc.identifier.isbn978-3-642-14615-2en_US
dc.identifier.issn2190-3018en_US
dc.identifier.urihttp://hdl.handle.net/11536/19070-
dc.description.abstractThe current paper aims to qualitatively and quantitatively measure and evaluate e-store index criteria used to achieve the aspired levels for satisfying customers' needs. Such research should help e-store managers understand customers' feelings and requirements for improving the e-store business. Therefore, in the current approach, we use a hybrid MCDM model to address the dependent relational problems among the criteria. Specifically, we combine DANP (DEMATEL-based ANP) and grey relation analysis (GRA) methods to calculate the relative importance weights and relation of the criteria between interdependence and feedback. We also propose a strategy to improve the criteria gap for closing to the aspired levels of human life and convenient service. As such, this research can provide e-store managers with an understanding of how to improve business models in order to achieve consumers' needs and promote more repurchases and enable them to devise the best marketing strategies to provide the most effective and efficient service for their customers.en_US
dc.language.isoen_USen_US
dc.titleImproving the E-Store Business Model for Satisfying Customers' Needs Using a Hybrid MCDM Combined DANP with Grey Relational Modelen_US
dc.typeArticleen_US
dc.identifier.journalADVANCES IN INTELLIGENT DECISION TECHNOLOGIESen_US
dc.citation.volume4en_US
dc.citation.spage113en_US
dc.citation.epage121en_US
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.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000292845100010-
Appears in Collections:Conferences Paper