Artifical Intelligence and Digitalization for Better Human Resource Management- A Systematic Literature Review

Artificial Intelligent and Otomation Application

Abstract

ABSTRACT

This study aims to explore more deeply the role of Artificial Intelligence (AI) and the role of automation in driving the digitalization process and this research was conducted through a qualitative approach with the Systematic Literature Review (SLR) method. This study carries out the process of identifying, analyzing, and synthesizing relevant academic literature from the last five years. Data was obtained through searching for relevant articles according to the theme via Google Scholar, with inclusion criteria that include topic relevance, methodological validity, and contributions to the application of AI use and its impact on automation. The analysis process involves the stages of thematic coding, systematic filtering of themes, then data interpretation to identify topic suitability, to be reviewed in more depth. The results of the study show that the existence of AI and the phenomenon of automation have a strategic role in accelerating digitalization in various sectors, including manufacturing, financial services, health, education and all organizational management processes and all their derivatives. This technology is useful for reducing costs, triggering increased productivity, and more effective and efficient data-based decision making. However, there are weaknesses regarding ethics, data privacy, and readiness to adopt technology in various organizations is one of the weaknesses of the massive use of AI. These findings provide important contributions to the development of more effective and efficient AI implementation policies and strategies, as well as providing a reference for further research in the digital era.

Keywords: Artificial Intelligence, automation, digitalization, Systematic Literature Review, digital transformation.