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dc.contributor.authorJhuang, Allen C. C.en_US
dc.contributor.authorTrappey, Charles V.en_US
dc.contributor.authorSun, John J. H.en_US
dc.contributor.authorGovindarajan, Usharani Hareeshen_US
dc.contributor.authorTrappey, Amy J. C.en_US
dc.date.accessioned2018-08-21T05:57:06Z-
dc.date.available2018-08-21T05:57:06Z-
dc.date.issued2017-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/147058-
dc.description.abstractPatent analysis helps companies understand their intellectual property (IP) portfolio and develop competitive marketing and management strategies. A Technology Function Matrix (TFM) is a critical approach for patent data analytics. This paper develops a generic computer supported TFM construction methodology that can be used for creating patent technical maps for any given domain. The approach is adopted for the case of the Internet of Things (loT) patent technology analysis in the context of Industry 4.0 111. The aim of this article is to provide the methodology and analysis methods for loT patent TFM and introduce computer supported IP and patent knowledge e -discovery.en_US
dc.language.isoen_USen_US
dc.subjectpatent analysisen_US
dc.subjecttechnolo function matrix (TFM)en_US
dc.subjectInternet of Things (Ion)en_US
dc.titleComputer Supported Technology Function Matrix Construction for Patent Data Analyticsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 IEEE 21ST INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)en_US
dc.citation.spage457en_US
dc.citation.epage462en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000426945600077en_US
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