Responsabilidad social empresarial y su impacto en el desempeño financiero: una revisión sistemática

This study on corporate social responsibility and its impact on financial performance focused on quantitative, explanatory research from the past two years. A sample of 47 articles published in the journal Scopus between 2022 and 2023 was analyzed. The research aimed to provide a systematic review of various regression methods applied in studies across different economic sectors. The approach followed was a systematic literature review, with inclusion and exclusion criteria. The findings revealed that the industrial economic sector received the most attention compared to others, and the most frequently employed regression methods were the fixed effects method (FEM), structural equation modeling (SEM) techniques, and partial least squares structural equation modeling (PLS-SEM). Additionally, there was a greater concentration of studies conducted in developed economies compared to emerging ones. This work contributes by offering a comprehensive guide to the most commonly used regression methods across economic sectors, serving as a reference for future research.

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Publication Details

Journal
Quipukamayoc
Published
2024-12-30
DOI
https://doi.org/10.15381/quipu.v32i68.29198
Citations
1
Primary Topic
Business, Education, Mathematics Research
Type
article
Field-Weighted Citation Impact
0.95
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article

Responsabilidad social empresarial y su impacto en el desempeño financiero: una revisión sistemática

Denys Marco Fernandez Aliaga
1 citations
Quipukamayoc
Business, Education, Mathematics Research
0.95
article

Responsabilidad social empresarial y su impacto en el desempeño financiero: una revisión sistemática

Denys Marco Fernandez Aliaga
article en
1 citations

Abstract

This study on corporate social responsibility and its impact on financial performance focused on quantitative, explanatory research from the past two years. A sample of 47 articles published in the journal Scopus between 2022 and 2023 was analyzed. The research aimed to provide a systematic review of various regression methods applied in studies across different economic sectors. The approach followed was a systematic literature review, with inclusion and exclusion criteria. The findings revealed that the industrial economic sector received the most attention compared to others, and the most frequently employed regression methods were the fixed effects method (FEM), structural equation modeling (SEM) techniques, and partial least squares structural equation modeling (PLS-SEM). Additionally, there was a greater concentration of studies conducted in developed economies compared to emerging ones. This work contributes by offering a comprehensive guide to the most commonly used regression methods across economic sectors, serving as a reference for future research.

QuipukamayocVol. 32(68)
Universidad Tecnológica del Perú (PE)
Reduced inequalities
Openalex Percentile: Top 17%
Business, Education, Mathematics Research
0.95
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