Abstract:
In the Industry 4.0 era, marked by the adoption of digital technology and artificial intelligence (AI), human resource (HR) management is becoming increasingly important in ensuring optimal company performance. This article examines the application of artificial intelligence in increasing the effectiveness of HR behavior in the Industry 4.0 era through Systematic Literature Review (SLR) analysis. Various articles related to this topic were studied through this SLR, including the AI models used and their implementation in the HR context. The review results show that applying artificial intelligence in HR can provide several significant benefits for companies. One is increasing the efficiency of HR processes, such as recruitment, selection, and employee performance management, through algorithms and automation systems. In addition, AI also enables more accurate decision-making based on the analysis of large and diverse data, helping companies to make more informed strategic decisions. However, apart from the benefits, applying artificial intelligence in HR poses several challenges and risks. Privacy and data security issues are a major concern, alongside risks associated with bias in AI decision-making. Therefore, companies need to carefully consider implementing this technology, while ensuring that the necessary steps are taken to protect the integrity of employee data and reduce the risk of bias. By understanding the challenges and risks involved, and utilizing the potential of artificial intelligence technology wisely, companies can optimize its benefits in increasing the effectiveness of HR behavior and achieving their business goals in the Industry 4.0 era.
