Impacto de las Actividades de Innovación en las Ventas de Compañías Peruanas de Lima y Callao

Sadith Fiorela Rojas-Medina, Christian Eliseo Rojas-Ponce, Venegas Rodriguez Pedro Bernabe, Santillán Zapata Nivardo Alonzo, Deza Quispe Jimmy Alberth

Producción científica: Artículo CientíficoArtículo originalrevisión exhaustiva

Resumen

This research sought to demonstrate the validity of the use of the LASSO machine learning tool considering nine innovation activities and data from the survey of the Peruvian Ministry of Production, to explain the business performance of Peruvian companies located in the urban area of Lima and Callao. LASSO was applied and identified the most important variables, then Logit regressions were performed selecting those that had support in the theory; finally, it was found that the variables that increase the probability of improvement in sales are three: (a) innovation activities in capital goods, (b) marketing, and (c) intangible assets.

Título traducido de la contribuciónImpact of Innovation Activities on Sales of Peruvian Companies in Lima and Callao Impacto das Atividades de Inovação nas Vendas das Empresas Peruanas em Lima e Callao
Idioma originalEspañol
Páginas (desde-hasta)34-52
-19
PublicaciónJournal Globalization, Competitiveness and Governability
Volumen16
N.º3
DOI
EstadoIndizado - set. 2022

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