Quality assessment of work-life using Artificial Intelligence and Big Data

Autores/as

  • Gabriel Silva Atencio Universidad Latinoamericana de Ciencia y Tecnologia (ULACIT), Costa Rica

DOI:

https://doi.org/10.18687/LACCEI2024.1.1.368

Palabras clave:

rtificial Intelligence, Big Data, Telework, Work-life, Self-learning, Automation process

Resumen

In the digital era, the use of emerging technologies is increasingly taking a leading role in organizations, so it has become a critical element in business strategy, giving rise to this research, which identified the degree of influence that Big Data and Artificial Intelligence (AI) have to positively influence the performance of the worker in work activities assigned to the job function within the company. The approach of the study was quantitative, descriptive, exploratory, and cross-sectional, based on a sample of experts in the area of human talent management who possessed knowledge, experience, and expertise in the subject, being the survey, the tool used for data collection. In the conclusions obtained, a positive perception was observed in the contribution to the improvement of the employee's performance; however, it is necessary to establish processes and procedures by the company for the correct use of these tools. In conclusion, the use of Big Data and AI contributes to improving the performance of work activities in the work environment, becoming an increasingly necessary tool to add value and generate a competitive advantage for the company in this new era.

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Publicado

2024-07-27

Número

Sección

Articles

Cómo citar

Silva Atencio, G. (2024). Quality assessment of work-life using Artificial Intelligence and Big Data. LACCEI, 1(10). https://doi.org/10.18687/LACCEI2024.1.1.368

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