技术与创新管理2026，Vol.47Issue(3)：307-314,8.DOI:10.14090/j.cnki.jscx.2026.0308
生成式AI、任务类型与绿色产业企业员工绩效
Generative AI,Task Types and Employee Performance in Green Industry Enterprises
摘要
Abstract
Against the backdrop of the in-depth advancement of the"Dual Carbon"goals and the accel-erated implementation of digital transformation in the green industry,generative AI has emerged as an important digital tool for empowering knowledge-based work in enterprises.Exploring its impact on the job performance of employees in green industry enterprises constitutes a crucial research for the innova-tive management of green enterprises and the digital development of the industry.Based on the Task-Technology Fit theory,and taking the knowledge-based work of employees in green industry enterprises as the research context,this study adopted a 2×2 between-subjects behavioral experiment to examine the influence of structured and unstructured task types on human-AI collaboration performance.The re-sults show that the application of generative AI can significantly improve employees'job performance in both types of tasks,and task type exerts a significant moderating effect on the performance empower-ment of generative AI.Specifically,generative AI has a stronger effect on improving job performance in structured tasks compared with unstructured ones.This study clarifies the task heterogeneity character-istics of generative AI in empowering the job performance of employees in green industry enterprises,expands the application of the Task-Technology Fit theory in the context of generative AI,and also pro-vides empirical evidence for green enterprises to carry out differentiated human-AI collaboration config-uration in knowledge-based work and improve employees'job performance in their innovative manage-ment practices.关键词
管理创新/生成式AI/绿色产业/任务类型/工作绩效Key words
management innovation/generative AI/green industry/task type/job performance分类
管理科学引用本文复制引用
付汉良,付瑞晴..生成式AI、任务类型与绿色产业企业员工绩效[J].技术与创新管理,2026,47(3):307-314,8.基金项目
陕西省社会科学基金"青博"项目"人-AI协作对不同工作任务类型绩效的影响机制研究"(2025QBR019) （2025QBR019）
