TY  - GEN
N2  - 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.
AB  - 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.
T1  - Competitive Technical Intelligence :Using Patent Data to Determine Smart City Trends
AU  - Potančok, Martin
AU  - Černý, Jan
LA  - eng
N1  - This resource was extracted from the Directory of Open Access Journals (DOAJ)
ID  - 41853
KW  - Geography
KW  - Anthropology
KW  - Recreation
KW  - Anthropogeography
KW  - Urban geography
KW  - Social Sciences
KW  - Classes
KW  - Races
SN  - 2068-9969
TI  - Competitive Technical Intelligence :Using Patent Data to Determine Smart City Trends
LK  - https://doaj.org/article/ae805d5d6d9641fa888b5100e82349b4
UR  - https://doaj.org/article/ae805d5d6d9641fa888b5100e82349b4
ER  -