Organizational Communication and Job Performance in the Vehicle Financing Department of a Financial Institution (Lima, Peru) in 2022

Authors

  • Cynthia Gabriela Figueroa Alvarado Universidad Científica del Sur, Grupo de Investigación “Interdisciplinary Research in Business Sciences", Lima, Peru
  • Hugo Jesús Salas Canales Universidad Científica del Sur, Grupo de Investigación “Interdisciplinary Research in Business Sciences", Lima, Perú https://orcid.org/0000-0003-2754-9514

DOI:

https://doi.org/10.15381/idata.v27i2.26928

Keywords:

organizational communication, job performance, upward communication, downward communication, crosswise communication

Abstract

In the 21st century, organizations have experienced changes that demand improved communication systems to enhance employee performance significantly. Therefore, the primary purpose of this research was to determine the relationship between communication within the organization and job performance in the Vehicle Financing Department of a financial institution located in Lima, Peru, in 2022. A quantitative approach and a non-experimental cross-sectional correlational-causal design were applied in this research study to investigate the relationship between organizational communication and job performance. The results from a sample of 52 sales executives revealed a strong and significant relationship between the studied variables, supported by a Pearson correlation coefficient of 0.781. These findings underscore the importance of organizational communication in the workplace and provide a basis for future research.

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Published

2024-12-31 — Updated on 2025-03-10

Issue

Vol. 27 No. 2 (2024)

Section

Producción y Gestión

License

Copyright (c) 2024 Cynthia Gabriela Figueroa Alvarado, Hugo Jesús Salas Canales

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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How to Cite

Organizational Communication and Job Performance in the Vehicle Financing Department of a Financial Institution (Lima, Peru) in 2022. (2025). Industrial Data, 27(2), 87-105. https://doi.org/10.15381/idata.v27i2.26928