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dc.contributor.authorCammarano, Antonello
dc.date.accessioned2016-09-15T08:39:24Z
dc.date.available2016-09-15T08:39:24Z
dc.date.issued2016-03-21
dc.identifier.urihttp://hdl.handle.net/10556/2188
dc.description2014 - 2015it_IT
dc.description.abstractTechnological innovation is the key driver for technological progress and firms’ economic growth. Since firms pursue different innovation approaches, they achieve different innovation performances. Actually, a firm’s ability to develop technologies and products is strongly conditioned by its stock of knowledge, expertise and technology from prior R&D. The R&D conducted by companies is an investment activity whose output is the firm’s knowledge stock. This asset positively contributes to the firms’ future financial performance and, then, to its market value. The higher the level of innovativeness of the invention, the higher the expected technological and financial impact. As a matter of fact, some new technologies can be considered as an extension of previous innovations, whilst others are breakthrough, discontinuous or disruptive. Analysing technological innovation requires objective and standardized data, thus scholars often refer to patents. Actually, patents are a direct outcome of the inventive process, and more specifically of those inventions that are expected to have a commercial impact; furthermore, they capture the proprietary and competitive dimension of technological change. Since obtaining patent protection is costly and time-consuming, only inventions that are expected to provide benefits that outweigh cost are applied. Patents have been treated as the most important output indicators of innovative activities and patent data have become the focus of many tools and techniques to measure innovation. Among the information available in such documents, technology classification, assignee field, citations and patent families are used to define different innovation metrics... [edited by author]it_IT
dc.language.isoenit_IT
dc.publisherUniversita degli studi di Salernoit_IT
dc.subjectInnovation strategiesit_IT
dc.subjectPatent analysisit_IT
dc.subjectPatent qualityit_IT
dc.titleFive dimensions of innovation: Studying technological strategies through patent datait_IT
dc.typeDoctoral Thesisit_IT
dc.subject.miurING-IND/35 INGEGNERIA ECONOMICO-GESTIONALEit_IT
dc.contributor.coordinatoreAmendola, Alessandrait_IT
dc.description.cicloXIV n.s.it_IT
dc.contributor.tutorCaputo, Mauroit_IT
dc.identifier.DipartimentoScienze Economiche e Statisticheit_IT
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