Influence Of Ai-Powered Employee Training on Staff Development and Organizational Productivity: A Case Study of Electricity Distribution Company of Cross River State, Calabar

Abstract

The incorporation of artificial intelligence (AI) into human resource management has transformed employee training, greatly influencing staff development and organizational efficiency. In the Cross River State Electricity Distribution Company, Calabar, employees must possess the required technical skills for efficient service provision. Conventional training approaches, however, frequently lack adaptability and real-time feedback, resulting in uneven skill enhancement. This research examines the impact of AI-driven training on improving employee growth and company efficiency through a Bayesian Belief Network (BBN) model. The key AI training variables identified include personalization, engagement, content relevance, adaptive learning, immediate feedback, digital literacy, management support, training frequency, system usability, and accessibility. These elements influence the Staff Development Index (SDI), which subsequently affects the Organizational Productivity Index (OPI). The research employs a Bayesian Belief Network (BBN) framework, a type of probabilistic graphical model, to illustrate both the direct and indirect relationships among the identified variables. This approach takes into account the inherent uncertainties associated with human behavior and organizational dynamics. Findings suggest that AI-driven training greatly impacts employee growth, thus influencing productivity indirectly. Elements such as customized training and workforce involvement directly influence productivity results, with SDI serving as a vital channel, especially by improving motivation and the practical use of skills among staff. The Bayesian model reveals distinct dependency relationships between variables, showing that advancements in AI-driven training systems enhance employee skills and, in turn, boost overall organizational performance. The research finds that AI-driven employee training is an essential resource for enhancing workforce growth and attaining increased productivity in electricity distribution activities.