Bibliometric Analysis of Computational and Mathematical Models of Innovation and Technology in Business

Autor: Mauricio Castillo-Vergara, Víctor Muñoz-Cisterna, Cristian Geldes, Alejandro Álvarez-Marín, Mónica Soto-Marquez
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Axioms, Vol 12, Iss 7, p 631 (2023)
Druh dokumentu: article
ISSN: 2075-1680
DOI: 10.3390/axioms12070631
Popis: There is consensus, both in academia and in the business world, that one of the main resources of a company is the incorporation of technology and, along with this, its capacity to generate innovation. Therefore, knowing the development of a company’s research becomes essential. The aim of this work is to develop a bibliometric analysis of the literature published in the Web of Science database to analyze the advances and trends in the development of research. The methodology analyzed bibliometric quantity and quality indicators using Bibliometrix, VOSviewer, and SciMAT software. The results show the evolution of the topic as well as recognition of the different lines along which research has organized the debate.
Databáze: Directory of Open Access Journals
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