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This study explores the impact of artificial intelligence (AI)-based technologies on leadership-based organizational communication and employee performance within contemporary workplaces. While prior research has acknowledged AI’s potential in optimizing communication processes, significant gaps remain in understanding its specific influence on core communication dimensions and organizational outcomes. This study addresses these gaps by examining six key communication elements—informing, message reception, feedback, acceptance, persuasion, and reaction—to assess whether AI technologies significantly enhance employee performance by improving internal communication efficiency and reducing transmission errors, which are crucial for productive interactions. Using a quantitative approach, data were collected via a self-administered questionnaire from 203 employees of a major Romanian food industry company operating globally, including leaders and employees from three Eastern European countries. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the relationships between communication dimensions and performance. The findings revealed that informing, receiving, and accepting messages, along with reaction-provoking, had strong positive effects on performance, while feedback and persuasion showed moderate impacts. These results emphasize the transformative role of AI in communication processes, optimizing message flow and positively influencing employee behavior, thereby enhancing productivity and organizational efficiency. This research contributes to the growing body of literature by situating AI-driven communication within the broader organizational context, offering actionable insights for managers aiming to integrate AI ethically and effectively. Additionally, it offers a set of recommendations for employees and managers to lead communication process according to the new actual era of digitization, which is offering real benefits for both parts. It also provides a robust foundation for future research, encouraging longitudinal and cross-cultural studies to further investigate AI’s implications for organizational diversity, innovation, and employee well-being.
Florea et al. (Thu,) studied this question.