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

doi:10.3232/GCG.2022.V16.N3.01

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

Translated title of the contribution: Impact 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

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

Faculty of Business Sciences

Research output: Contribution to journal › Original Article › peer-review

1 Scopus citations

Abstract

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.

Translated title of the contribution	Impact 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
Original language	Spanish
Pages (from-to)	34-52
Number of pages	19
Journal	Journal Globalization, Competitiveness and Governability
Volume	16
Issue number	3
DOIs	https://doi.org/10.3232/GCG.2022.V16.N3.01
State	Indexed - Sep 2022

Bibliographical note

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© 2022 Universia. All rights reserved.

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10.3232/GCG.2022.V16.N3.01

Cite this

@article{c0e5c8db634d4f27aac5443b8d6258f0,

title = "Impacto de las Actividades de Innovaci{\'o}n en las Ventas de Compa{\~n}{\'i}as Peruanas de Lima y Callao",

abstract = "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.",

author = "Rojas-Medina, \{Sadith Fiorela\} and Rojas-Ponce, \{Christian Eliseo\} and \{Pedro Bernabe\}, \{Venegas Rodriguez\} and \{Nivardo Alonzo\}, \{Santill{\'a}n Zapata\} and \{Jimmy Alberth\}, \{Deza Quispe\}",

year = "2022",

month = sep,

doi = "10.3232/GCG.2022.V16.N3.01",

language = "Espa{\~n}ol",

volume = "16",

pages = "34--52",

journal = "Journal Globalization, Competitiveness and Governability",

issn = "1988-7116",

publisher = "Georgetown University",

number = "3",

}

Impacto de las Actividades de Innovación en las Ventas de Compañías Peruanas de Lima y Callao. / Rojas-Medina, Sadith Fiorela; Rojas-Ponce, Christian Eliseo; Pedro Bernabe, Venegas Rodriguez et al.
In: Journal Globalization, Competitiveness and Governability, Vol. 16, No. 3, 09.2022, p. 34-52.

Research output: Contribution to journal › Original Article › peer-review

TY - JOUR

T1 - Impacto de las Actividades de Innovación en las Ventas de Compañías Peruanas de Lima y Callao

AU - Rojas-Medina, Sadith Fiorela

AU - Rojas-Ponce, Christian Eliseo

AU - Pedro Bernabe, Venegas Rodriguez

AU - Nivardo Alonzo, Santillán Zapata

AU - Jimmy Alberth, Deza Quispe

PY - 2022/9

Y1 - 2022/9

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85147993987

U2 - 10.3232/GCG.2022.V16.N3.01

DO - 10.3232/GCG.2022.V16.N3.01

M3 - Artículo original

AN - SCOPUS:85147993987

SN - 1988-7116

VL - 16

SP - 34

EP - 52

JO - Journal Globalization, Competitiveness and Governability

JF - Journal Globalization, Competitiveness and Governability

IS - 3

ER -

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

Abstract

Bibliographical note

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