With the in-depth advancement of digital transformation, the integration of artificial intelligence (AI) technology and business administration has evolved into an inevitable trend for enterprise development, and Management Information Systems (MIS) serve as a pivotal supporting pillar in this process. From the perspective of MIS, this paper systematically synthesizes the applications of AI in four core domains of business administration: marketing and customer management, supply chain and operations management, human resource management, and financial and risk management, while exploring the underlying supporting mechanisms of MIS. Drawing on real-world industry cases, the paper dissects three critical challenges inherent in the integration process: data privacy concerns, algorithmic bias, and the disconnect between technology and business operations. Furthermore, it delineates future development directions from three dimensions: the synergy between AIGC and MIS, industry-specific customization, and interdisciplinary collaborative innovation, aiming to furnish theoretical references for academic research in related fields and practical guidance for enterprise implementation.
Liu Yifan (Wed,) studied this question.