Socioeconomic indicators and innovative countries associated with data mining evidence

Camilla Bruna Dias Souza (), Henrique Rego Monteiro Hora () and Edson Terra Azevedo Filho ()
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Camilla Bruna Dias Souza: Instituto Federal Fluminense-IFF
Henrique Rego Monteiro Hora: Instituto Federal Fluminense-IFF
Edson Terra Azevedo Filho: Universidade Estadual do Norte Fluminense Darcy Ribeiro, UENF

SN Business & Economics, 2023, vol. 3, issue 2, 1-24

Abstract: Abstract This paper analyzes the aspects that contribute to the success of an innovative environment taking as reference 119 socio-economic indicators of historical development that have been made available in various databases from 1960 until 2020. The data was associated with 32 economies in the ranking of the most innovative countries in the seven world regions. The chosen method of mining this data in the J48 consolidated algorithm. This tool highlights the most relevant socio-economic indicators in the early years of the decades from 1960 to 2020. The indicators were based on the Global Innovation Index (GII 2020) report. It is possible to observe in the results a logical sequence in the indicators reported in economic development in the decade approach. In addition, demographic control of labor availability, relevance in the productivity of high and medium-technology goods, and government efficiency are notorious aspects of this innovation process. Many pieces of research correlated with each year, and each indicator corroborates the results found herein. They also show how data mining can contribute as a resource in the elaboration of public policies, in the learning process for constructing business models, and in the decision-making towards development using innovation to search for better living conditions for people worldwide.

Keywords: Innovation; Ranking; Economic indicators; Data mining; J48C (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s43546-022-00418-9

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