Impact of Artificial Intelligence on Development of Enterprise Management: A Bibliometric Analysis

¹ Institute of economics of CS MSHE RK, Department of innovative and technological development, 050010, Almaty, Kazakhstan
² Farabi University, Higher school of economics and business, 050020, Almaty, Kazakhstan

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

The development of artificial intelligence (AI) is reshaping the landscape of enterprise management. To cope with this transformation, it is imperative to delve deeply into the logical mechanisms between AI application and management practices. This research aims to analyze studies dedicated to the impact of AI on development of enterprise human resource management, supply chain management, financial management, and operational decision-making. This research leverages bibliometric analysis of Scopus and Web of science data using tools like VOSviewer and Zotero to explore evolutionary-chronological, contextual scientific, and geographical of AI technology driven enterprise management development. In total, 2201 documents on AI driven enterprise management from 2014 to 2024 were analyzed. Publications on AI and enterprise management have grown rapidly since 2022. Research mainly focused on Data Decision Making, AI models, AI management, AI health, AI networks, AI energy, and AI innovation (89.87% of the total studies). The findings contribute to the understanding of the role of AI technology applications (enhancing transparency and satisfaction in human resources management, promoting human-machine collaboration in supply chain management, enabling intelligent automatic processes in financial management, and advancing model-based, supervised decision-making). It underscores the need for future research on practical implementations and ethical considerations of AI application.