The Impact of Artificial Intelligence Technologies on Employees’ Quality of Work Life in the Energy Sector: An Applied Study Using Partial Least Squares Structural Equation Modeling (PLS-SEM) in an Algerian Organization in North Africa

Abstract

Artificial intelligence (AI) technologies have become a crucial tool widely used across various fields, particularly in the workplace, to enhance performance efficiency. However, the relationship between adopting AI technologies and professional quality of life remains unclear among employees in the energy sector within Algerian institutions in North Africa. This study aims to assess the impact of AI technologies (expert systems, intelligent agents, and neural networks) on professional quality of life using structural equation modeling (PLS-SEM). To achieve this objective, the study employed a descriptive and analytical field methodology, collecting data from employees in an energy sector institution through both paper-based and electronic questionnaires. The current study revealed several significant findings, including a positive impact of intelligent agents, neural networks, and expert systems on professional quality of life. The study recommends enhancing the use of AI technologies to improve employees’ professional quality of life.