dc.contributor.author | Altuntaş, Serkan | |
dc.contributor.author | Dereli, Türkay | |
dc.contributor.author | Kusiak, Andrew | |
dc.date.accessioned | 12.07.201910:50:10 | |
dc.date.accessioned | 2019-07-12T22:07:06Z | |
dc.date.available | 12.07.201910:50:10 | |
dc.date.available | 2019-07-12T22:07:06Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Altuntas, S., Dereli, T., Kusiak, A. (2016). Assessment of corporate innovation capability with a data-mining approach: industrial case studies. Computers and Industrial Engineering, 102, pp. 58-68.
https://doi.org/10.1016/j.cie.2016.10.018 | |
dc.identifier.issn | 0360-8352 | |
dc.identifier.issn | 1879-0550 | |
dc.identifier.uri | https://doi.org/10.1016/j.cie.2016.10.018 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12508/841 | |
dc.description | WOS: 000390502800006 | en_US |
dc.description.abstract | The 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_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | 10.1016/j.cie.2016.10.018 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Innovation capability | en_US |
dc.subject | Data mining | en_US |
dc.subject | Fuzzy association rules | en_US |
dc.subject | Case studies | en_US |
dc.subject.classification | Computer Science | en_US |
dc.subject.classification | Interdisciplinary Applications | en_US |
dc.subject.classification | Engineering | en_US |
dc.subject.classification | Industrial | |
dc.subject.classification | Innovation Capability | Innovative Performance | Triple Helix Model | |
dc.subject.other | Knowledge management | en_US |
dc.subject.other | Firms | en_US |
dc.subject.other | Performance | en_US |
dc.subject.other | Capacity | |
dc.subject.other | Association rules | |
dc.subject.other | Fuzzy logic | |
dc.subject.other | Manufacture | |
dc.subject.other | Corporate innovation | |
dc.subject.other | Fuzzy association rule | |
dc.subject.other | Industrial case study | |
dc.subject.other | Industry sectors | |
dc.title | Assessment of corporate innovation capability with a data-mining approach: industrial case studies | en_US |
dc.type | article | en_US |
dc.relation.journal | Computers and Industrial Engineering | en_US |
dc.contributor.department | Mühendislik ve Doğa Bilimleri Fakültesi -- Endüstri Mühendisliği Bölümü | en_US |
dc.identifier.volume | 102 | en_US |
dc.identifier.startpage | 58 | en_US |
dc.identifier.endpage | 68 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.contributor.isteauthor | Dereli, Türkay | en_US |
dc.relation.index | Web of Science - Scopus | en_US |
dc.relation.index | Web of Science Core Collection - Social Sciences Citation Index | |
dc.relation.index | Web of Science Core Collection - Science Citation Index Expanded | |