Yayın:
Assessment of corporate innovation capability with a data-mining approach: industrial case studies

Basit öğe sayfası
dc.contributor.authorAltuntas, Serkan
dc.contributor.authorDereli, Turkay
dc.contributor.authorKusiak, Andrew
dc.date.accessioned2026-06-27T13:55:58Z
dc.date.issued2016
dc.description.abstractThe interest in assessment of innovation capability of manufacturing systems is fueled by the growing competition. At this time, there is no generally accepted model to evaluate innovation capability of manufacturing systems. In this paper, a fuzzy-logic based data-mining approach is proposed to assess innovation capability of manufacturing systems. The proposed algorithm is illustrated with two industrial case studies representing two different industry sectors. The results derived from these case studies demonstrate advantages of the proposed algorithm in assessing corporate innovation capability. (C) 2016 Elsevier Ltd. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.cie.2016.10.018
dc.identifier.doi10.1016/j.cie.2016.10.018
dc.identifier.eissn1879-0550
dc.identifier.endpage68
dc.identifier.issn0360-8352
dc.identifier.startpage58
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55871
dc.identifier.volume102
dc.identifier.wos000390502800006
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofCOMPUTERS & INDUSTRIAL ENGINEERING
dc.subjectInnovation capability
dc.subjectData mining
dc.subjectFuzzy association rules
dc.subjectCase studies
dc.subjectKNOWLEDGE MANAGEMENT
dc.subjectFIRMS
dc.subjectPERFORMANCE
dc.subjectCAPACITY
dc.subjectComputer Science
dc.subjectEngineering
dc.titleAssessment of corporate innovation capability with a data-mining approach: industrial case studies
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

Dosyalar

Koleksiyonlar

Yayınlar