Innovation and efficiency in Latin American countries: a study of the impact and applied evolution of neural networks

Mercedes Gaitán-Angulo, Melva Inés Gómez-Caicedo, Anderson Quintero, Juan Antonio Marmolejo Martín, Hasbleidy Camila Parra Méndez and Carlos Yesid Briñez Torres

International Journal of Revenue Management, 2023, vol. 13, issue 4, 257-280

Abstract: The relationship between the indicators that measure innovation and efficiency in Latin America is of vital importance, as it allows for the acquisition of valuable information for the implementation of strategies that promote development in the region. The main contribution of this work is to identify the constructs that enhance the innovative characteristics of these Latin American countries before the world. The relevant characteristics were identified according to the Global Innovation Index data from 2013 to 2020. We used principal component analysis, and then a simulation is performed from 2021 to 2030 using neural networks, which allows us to identify better innovative policies based on the region's resources focused on its socio-economic structure. Among the main findings, we find that the region's best performance is concentrated in the following pillars: institutions and infrastructure and knowledge and technology products. However, problems are evident in human capital formation, market satisfaction, business satisfaction and creative production.

Keywords: innovation; knowledge management; Global Innovation Index; GII; Latin America; neural networks. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=134677 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijrevm:v:13:y:2023:i:4:p:257-280

Access Statistics for this article

More articles in International Journal of Revenue Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().