人工智能赋能下企业战略与人力资源管理的协同优化路径研究OA
Research on Collaborative Optimization Path of Corporate Strategy and Human Resource Management Enabled by Artificial Intelligence
人工智能不仅成为提升人力资源管理工作效率的工具,而且正在重新定义人力资源管理的角色与战略价值,推动人力资源管理从支持性、辅助性的后台职能,向驱动业务发展、塑造核心竞争力的战略伙伴角色跃迁,使得战略解码更科学、人才匹配更精准、绩效反馈更及时、人才决策更前瞻,从而为企业构建动态、敏捷、高效的企业战略与人力资源管理协同体系奠定了技术基础.但也面临技术整合、组织变革和伦理风险等关键挑战.人工智能对企业战略与人力资源管理协同的优化,并非单一节点的效率提升,而是贯穿"选、育、用、留"等人力资源管理全流程的系统性重塑.未来企业战略与人力资源管理的协同将越发呈现实时化、智能化与个性化趋势,但成功的关键在于实现技术与人文的有机平衡,构建人机协同的管理新生态.
Artificial intelligence is not only becoming a tool to enhance the efficiency of human resource management but is also redefining the role and strategic value of human resource management,promoting its transition from a supportive,auxiliary back-office function to a strategic partner role that drives business development and shapes core competitiveness.This makes strategic decoding more scientific,talent matching more precise,performance feedback timelier,and talent decisions more forward-looking,thereby laying a technical foundation for enterprises to build dynamic,agile,and efficient collaborative systems for corporate strategy and human resource management.However,it also faces key challenges such as technological integration,organizational change,and ethical risks.The optimization of collaboration between corporate strategy and human resource management enabled by artificial intelligence is not merely about improving efficiency at a single node,but rather a systematic reshaping throughout the entire human resource management process of"selection,training,utilization,and retention".In the future,the collaboration between corporate strategy and human resource management will increasingly show trends of being real-time,intelligent,and personalized,but the key to success lies in achieving an organic balance between technology and humanity,and building a new management ecosystem of human-machine collaboration.
彭鹏;欧景雯
长沙市规划信息服务中心长沙市规划信息服务中心党总支
社会科学
人工智能人力资源管理企业战略协同优化管理范式
Artificial intelligenceHuman resource managementCorporate strategyCollaborative optimizationManagement paradigm
《中国人事科学》 2026 (4)
58-65,8
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