Yayın:
Forecasting technology success based on patent data

Basit öğe sayfası
dc.contributor.authorAltuntas, Serkan
dc.contributor.authorDereli, Turkay
dc.contributor.authorKusiak, Andrew
dc.contributor.institutionauthorALTUNTAŞ, Serkan
dc.date.accessioned2026-06-27T13:43:38Z
dc.date.issued2015
dc.description.abstractA novel method for forecasting technology success based on patent data is proposed. Four criteria, technology life cycle, diffusion speed, patent power, and expansion potential are considered for technology forecasting. Patent power and expansion potential are considered as technology scope indicators. A data fusion algorithm is applied to combine the results obtained from different criteria. The usefulness and potential of the proposed forecasting approach has been demonstrated using all U.S. patents related to three technologies, namely thin film transistor-liquid crystal display, flash memory system, and personal digital assistant. The results obtained from these patents demonstrate that the personal digital assistant technology is preferred over other technologies. Investments in thin film transistor liquid-crystal display and flash memory system technologies have equal priority. (C) 2015 Elsevier Inc. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.techfore.2015.03.011
dc.identifier.doi10.1016/j.techfore.2015.03.011
dc.identifier.eissn1873-5509
dc.identifier.endpage214
dc.identifier.issn0040-1625
dc.identifier.startpage202
dc.identifier.urihttps://hdl.handle.net/20.500.14981/54537
dc.identifier.volume96
dc.identifier.wos000357223000021
dc.language.isoeng
dc.publisherELSEVIER SCIENCE INC
dc.relation.ispartofTECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
dc.subjectTechnology forecasting
dc.subjectPatent analysis
dc.subjectTechnology life cycle
dc.subjectTechnology diffusion
dc.subjectTechnology scope
dc.subjectCondorcet method
dc.subjectEMERGING TECHNOLOGIES
dc.subjectHYDROGEN ENERGY
dc.subjectWASTE GLASS
dc.subjectMODEL
dc.subjectINTELLIGENCE
dc.subjectDIFFUSION
dc.subjectSYSTEM
dc.subjectFUTURE
dc.subjectINFORMATION
dc.subjectMANAGEMENT
dc.subjectBusiness & Economics
dc.subjectPublic Administration
dc.titleForecasting technology success based on patent data
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

Dosyalar

Koleksiyonlar

Yayınlar