人工智能大模型在企业绩效管理中的应用机理与发展趋势

Application Mechanisms and Development Trends of AI Large Models in Enterprise Performance Management

摘要: 在数字化与智能化浪潮下，人工智能大模型在企业绩效管理中的应用逐渐成为管理创新的重要方向。通过多模态数据处理、智能决策支持与流程自动化，人工智能不仅提升了绩效考核的科学性与客观性，还在薪酬优化、员工发展和战略目标分解等方面展现优势。研究表明，大模型驱动的绩效管理体系有助于推动企业从经验驱动向数据驱动转型，实现管理效能与员工满意度的双重提升。然而，技术应用仍面临数据安全、算法偏见与可解释性不足等挑战，亟需通过数据治理、算法优化和组织变革加以应对。未来，人工智能将在人力资源与绩效管理的深度融合中走向行业化、伦理化与个性化，为企业构建更智能、公平和可持续的管理新范式提供支撑。

Abstract: In the wave of digitalization and intelligent transformation, the application of large AI models in enterprise performance management has gradually become an important direction for management innovation. Through multimodal data processing, intelligent decision support, and process automation, AI not only enhances the scientificity and objectivity of performance evaluation but also demonstrates advantages in compensation optimization, employee development, and strategic goal decomposition. Studies show that performance management systems driven by large models help enterprises shift from experience-driven to data-driven management, achieving dual improvements in management efficiency and employee satisfaction. However, the application of these technologies still faces challenges such as data security, algorithmic bias, and insufficient interpretability, which urgently require solutions through data governance, algorithm optimization, and organizational change. In the future, the deep integration of AI with human resource and performance management will move toward industrialization, ethicalization, and personalization, providing support for building a smarter, fairer, and more sustainable management paradigm for enterprises.