Open AccessHigh Analytics Information Technological Routes: a patent network analysis
Author(s) -
Angélica Pigola,
Priscila Rezende da Costa,
Luísa Cagica Carvalho,
Geciâne Silveira Porto,
Alex Fabianne de Paulo
Publication year - 2022
Publication title -
research, society and development
Language(s) - English
Resource type - Journals
ISSN - 2525-3409
DOI - 10.33448/rsd-v11i4.27569
Subject(s) - analytics , business , social network analysis , knowledge management , patent analysis , core (optical fiber) , data science , computer science , social media , world wide web , telecommunications
Knowledge-intensive significantly contribute to technological development. This paper aims to explore technological routes (TR) on high analytics information (HAI) technologies for sake of technological forecasting through social network analysis (SNA) in a patent database from 2001 to 2020. Applying search path link count (SPLC) algorithm, this study provides five different TR in various business sectors. This study support decision makers to find additional core of technologies for their innovation strategies and help researchers in identifying HAI technologies that may still emerge in different industries support strategic R&D decisions about prioritizing investments, identifying partnerships to innovate, and collaborating in public policies based on promoting new HAI technologies development.