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Research Article | DOI: https://doi.org/ISSRR-RA-25-013.

Workplace Engagement Networks in The Energy Sector Around Nearshoring

Cruz García-Lirios 1*, Arturo Sánchez-Sánchez 2, Tirso Javier Hernández-Gracia 3, Celia Yaneth Quiroz-Campas 4, Rosa María Rincón-Ornelas 5, Julio E. Crespo 6, Miguel Sanhueza-Olave 7

labor commitment; nearshoring; neural networks; energy sector

*Corresponding Author: Cruz García-Lirios, Universidad de la Salud, CDMX, Mexico

Citation: Cruz García-Lirios, Arturo Sánchez-Sánchez, Tirso Javier Hernández-Gracia,Celia Yaneth Quiroz-Campas, Rosa María Rincón-Ornelas et al (2025). Workplace Engagement Networks in The Energy Sector Around Nearshoring, J International Social Science Research and Review. 1(2), DOI: ISSRR-RA-25-013.

Copyright: Cruz García-Lirios, et al © (2025). This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Received: 30 May 2025 | Accepted: 02 June 2025 | Published: 13 June 2025

Keywords: labor commitment; nearshoring; neural networks; energy sector

Abstract

Nearshoring presents a market of opportunities characterized by relationships built on trust that imply varying degrees of commitment. However, within the energy sector, this progression is not entirely apparent. Therefore, this study aims to establish a learning network focused on work commitment in nearshoring. An exploratory, transversal, and correlational analysis was conducted with 100 students. The results indicate that the process is centered around opinions, beginning with proposals and culminating in emotions. While existing literature suggests a cognitive framework for work commitment, this study instead identifies a perceptual, decisional, and situational framework where opinions take precedence.

 

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