Competitive Technical Intelligence: Using Patent Data to Determine Smart City Trends

Potančok, Martin; Černý, Jan

[journal article]

dc.contributor.author	Potančok, Martin	de
dc.contributor.author	Černý, Jan	de
dc.date.accessioned	2024-02-01T14:52:41Z
dc.date.available	2024-02-01T14:52:41Z
dc.date.issued	2020	de
dc.identifier.issn	2067-4082	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/91789
dc.description.abstract	The aim of this paper is to define a method for uncovering smart city technology trends using competitive technical intelligence processes focused on intellectual property analysis using data visualisation. The authors introduce ways of gathering relevant core bibliographic data on the desired technology together with search preparation and query building. For demonstration purposes, the authors have used the European Patent Office datasets. The aim of this paper is to define a method for smart city competitive intelligence analysis focused on the main innovative companies and organizations and specific technology trends. The time period between the years 1997 and 2017 is used. Based on the results, the authors have indicated that Samsung is the leader in intelligent city innovations in this period. Five main product invention categories were also identified.	de
dc.language	en	de
dc.subject.ddc	Städtebau, Raumplanung, Landschaftsgestaltung	de
dc.subject.ddc	Landscaping and area planning	en
dc.subject.other	Competitive Technical Intelligence; competitor analysis; intelligent city; patent classification	de
dc.title	Competitive Technical Intelligence: Using Patent Data to Determine Smart City Trends	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	Journal of Urban and Regional Analysis
dc.source.volume	12	de
dc.publisher.country	ROU	de
dc.source.issue	1	de
dc.subject.classoz	Raumplanung und Regionalforschung	de
dc.subject.classoz	Area Development Planning, Regional Research	en
dc.rights.licence	Creative Commons - Namensnennung, Nicht-kommerz. 4.0	de
dc.rights.licence	Creative Commons - Attribution-NonCommercial 4.0	en
internal.status	formal und inhaltlich fertig erschlossen	de
dc.type.stock	article	de
dc.type.document	Zeitschriftenartikel	de
dc.type.document	journal article	en
dc.source.pageinfo	5-17	de
internal.identifier.classoz	20700
internal.identifier.journal	2707
internal.identifier.document	32
internal.identifier.ddc	710
dc.identifier.doi	https://doi.org/10.37043/JURA.2020.12.1.1	de
dc.description.pubstatus	Veröffentlichungsversion	de
dc.description.pubstatus	Published Version	en
internal.identifier.licence	32
internal.identifier.pubstatus	1
internal.identifier.review	1
dc.subject.classhort	20700	de
internal.pdf.valid	false
internal.pdf.wellformed	true
internal.pdf.encrypted	false
ssoar.urn.registration	false	de

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Raumplanung und Regionalforschung
Area Development Planning, Regional Research

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