Artificial intelligence applications in organizations from an employee perspective: a bibliometric analysis

In organizational settings, the effectiveness of artificial intelligence (AI) and AI-based applications in employees' activities continues to increase steadily over time. While this situation provides some conveniences to employees, it has also brought several concerns. Accordingly, a need has emerged to identify areas of collaboration and conflict between employees and AI. From this perspective, the present study aims to generate insights into employee–AI interactions at the organizational level. Literature on AI applications and their impact on employees is included. Bibliometric analysis was conducted using Web of Science (WoS) database. This research covers an application that includes a total of 497 studies published between 1996 and 2024. The keywords most emphasized by the authors in AI applications include artificial intelligence, machine learning, management, artificial, knowledge, learning, deep learning, intelligence, big data, data mining, employee, human resources, machine, technology, business, knowledge management, performance, and artificial neural networks. In the analysis, strong relationships between the concepts of artificial intelligence, machine learning, management, data mining, digital transformation, analysis, technology, employee, human resources, collaboration, productivity, human resource management, big data, performance, and digital technologies were revealed. Results have shown that the use of artificial intelligence in businesses is related to many concepts from the employees' perspective. The research offers important implications for strategic decision-making in areas such as human resources management, collaboration, performance, and digital transformation, based on the concepts that emerge in the interaction of artificial intelligence applications with employees.