Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104559
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorSamvedi, Aen_US
dc.creatorJain, Ven_US
dc.creatorChan, FTSen_US
dc.creatorChung, SHen_US
dc.date.accessioned2024-02-05T08:51:06Z-
dc.date.available2024-02-05T08:51:06Z-
dc.identifier.issn0941-0643en_US
dc.identifier.urihttp://hdl.handle.net/10397/104559-
dc.language.isoenen_US
dc.publisherSpringer UKen_US
dc.rights© The Natural Computing Applications Forum 2016en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00521-016-2776-8.en_US
dc.subjectBig dataen_US
dc.subjectFuzzy DEMATELen_US
dc.subjectFuzzy TOPSISen_US
dc.subjectGreen supply chainen_US
dc.subjectInformation securityen_US
dc.subjectInformation systemsen_US
dc.subjectSupply chain managementen_US
dc.titleInformation system selection for a supply chain based on current trends : the BRIGS approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1619en_US
dc.identifier.epage1633en_US
dc.identifier.volume30en_US
dc.identifier.issue5en_US
dc.identifier.doi10.1007/s00521-016-2776-8en_US
dcterms.abstractInformation systems are very crucial in today’s organizations, and hence the selection of the right system has become a very critical decision. As time has progressed, with new issues affecting the supply chain and the performance metrics being continually rewritten, the responsibility of the information systems has increased manifold. Nowadays, information systems are expected to perform a number of functions such as information security, big data handling, green supply chain and risk management and thus the basic problem of system selection is now more complex. Also, adding to the complexity is the fact that these new issues are interdependent and most of the times influence other issues in a variety of direct or indirect ways. This study addresses this problem by proposing a new model for information system selection by incorporating the latest trends in the supply chain. It also proposes an integrated methodology, to solve such a problem where interdependence between criteria exists. The advantages of this methodology over other existing techniques are delinking the evaluation of interdependent criteria weights from performance evaluation, flexibility of inputs, ability to handle vagueness and uncertainty in judgements. The methodology is illustrated using a numerical example.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationNeural computing and applications, Sept 2018, v. 30, no. 5, p. 1619-1633en_US
dcterms.isPartOfNeural computing and applicationsen_US
dcterms.issued2018-09-
dc.identifier.scopus2-s2.0-85006868402-
dc.identifier.eissn1433-3058en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0891-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6707161-
dc.description.oaCategoryGreen (AAM)en_US
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