The Innovation, Networks and Emerging Jobs
A Bibliometric Study Of the Web of Science’s Database, From 1945 To 2020
DOI:
https://doi.org/10.31686/ijier.vol11.iss1.4009Keywords:
Innovation, Development, Economics, Statistical data, IRAMUTEQAbstract
This research presents a bibliometric study of scientific productions involving the themes of innovation, networks and emerging jobs in the English language, available in the Web of Science’s database, dating from 1945 to 2020. Seeking to clarify some findings, in the statistical study of Web of Science’s publications, this research demonstrates the orientation of the reasoning of the investigated authors, regarding innovation policies. Of the 49 publications found in a previous screening, we obtained the number of 44 publications in English, which were submitted to statistical, Reinert and Similitude analyses, using the IRAMUTEQ software. During the research, it was possible to notice that this group of words presented a relation in the context of the texts available in the base; that is: the tool presented, statistically, four groups of words with greater relevance, connecting the three themes. In the analysis, IRAMUTEQ presented a division in four clusters (using Reinert’s method) that list the groups of words by their relation of higher incidence and correlation during the study (development, literature, information and form). According to this mapping, it is possible to conclude that the correlation of themes refers to a group of researchers who, in their discourses, connect technological and economic development to relations in an innovation network, and that 50% of the published texts dealt with issues involving the four largest groups of words: development, network, innovation and business.
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Copyright (c) 2023 Leandro Rachel Arguello, Michel Angelo Constantino, Antonio Carlos Dorsa, Diego Bezerra de Souza, Flavio Henrique Souza de Araújo, Thiago Teixeira Pereira, Cristiane Martins Viegas de Oliveira
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Accepted 2022-11-18
Published 2023-01-01
