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dc.contributor.authorHung, Ying-Hsunen_US
dc.contributor.authorHuang, Tsong-Liangen_US
dc.contributor.authorHsieh, Jing-Chzien_US
dc.contributor.authorTsuei, Hung-Jiaen_US
dc.contributor.authorCheng, Chun-Chuanen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2014-12-08T15:28:34Z-
dc.date.available2014-12-08T15:28:34Z-
dc.date.issued2012-11-01en_US
dc.identifier.issn0950-7051en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.knosys.2012.03.004en_US
dc.identifier.urihttp://hdl.handle.net/11536/20663-
dc.description.abstractOnline reputation management (ORM) has been considered as a significant tool of internet marketing. The purpose of this paper is to construct a decision model for evaluating performances and improving professional services of marketing. To investigate the interrelationship and influential weights among criteria, this study uses a hybrid MCDM model including decision-making trial and evaluation laboratory (DEMATEL). DEMATEL-based analytic network process (called DANP). The empirical findings reveal that criteria have self-effect relationships based on DEMATEL technique. According to the network relation map (NRM), the dimension that professional services of marketing should improve first when carrying out ORM is online reputation. In the five criteria for evaluation, distributed reputation systems is the most important criterion impacting ORM, followed by employees and social responsibility. (C) 2012 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectOnline reputation management (ORM)en_US
dc.subjectProfessional services of marketingen_US
dc.subjectDEMATELen_US
dc.subjectDANPen_US
dc.subjectMCDMen_US
dc.titleOnline reputation management for improving marketing by using a hybrid MCDM modelen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.knosys.2012.03.004en_US
dc.identifier.journalKNOWLEDGE-BASED SYSTEMSen_US
dc.citation.volume35en_US
dc.citation.issueen_US
dc.citation.spage87en_US
dc.citation.epage93en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000311016400009-
dc.citation.woscount3-
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