人工智能赋能下的企业信息化转型：管理变革路径与实践机制研究

AI-Enabled Enterprise Informatization Transformation: Pathways of Managerial Change and Implementation Mechanisms

摘要: 在信息化与数字化深度融合的背景下，人工智能(AI)正逐步成为驱动企业信息化升级与管理转型的关键力量。本文基于系统性文献回顾，梳理了AI在企业管理中的典型应用场景、演进路径与实施策略，重点探讨其在人力资源、财务管理、供应链管理及战略决策等核心职能中的融合机制。通过对比分析国内外研究成果，归纳了企业在推进AI赋能的信息化转型过程中面临的主要挑战，并提出相应的应对策略。研究旨在为企业管理者、政策制定者及学术界提供理论依据与实践参考，助力企业在信息化进程中实现高质量发展与可持续竞争优势。

Abstract: In the context of deep convergence between informatization and digitalization, artificial intelligence (AI) is progressively emerging as a pivotal enabler of enterprise-level information system upgrades and managerial transformation. Employing a systematic literature review complemented by comparative analysis of domestic and international studies, this paper synthesizes typical AI application scenarios, evolutionary trajectories, and implementation strategies within enterprise management. It foregrounds the integration mechanisms through which AI is incorporated into core functional domains—human resource management, financial management, supply chain management, and strategic decision-making-and articulates the institutional, technical, and organizational challenges encountered in AI-enabled informatization initiatives. Based on this synthesis, the study proposes targeted remediation strategies and governance recommendations aimed at capability building, risk mitigation, and sustainable value capture. The findings are intended to furnish evidence-based guidance for managers, policymakers, and scholars seeking to steer high-quality, resilient, and competitively sustainable informatization transformations.