Mediator analysis.

The rapid advancement of AI technology has accelerated the adoption of generative artificial intelligence (GenAI) tools in the workplace, eroding the boundaries between professional responsibilities and personal space, thus impacting employees’ innovative performance. This study empirically examines the link between innovative job performance and GenAI tool usage, framed through the Uses and Gratifications Theory. Analyzing survey data from 366 employees nationwide revealed that: (1) both cognitive and social uses of GenAI tools significantly enhance innovative performance; (2) cognitive use primarily facilitates knowledge transfer behaviors, while social use bolsters resource acquisition. Enhanced knowledge transfer and resource acquisition, in turn, improve job satisfaction, which is pivotal in driving innovative performance. This study introduces a novel framework for utilizing GenAI tools to optimize and manage employee performance within organizational settings.人工智能技术的飞速发展加速了生成式人工智能（Generative Artificial Intelligence，GenAI）工具在职场中的普及，不断模糊职业职责与个人空间之间的边界，进而对员工的创新绩效产生影响。本研究基于使用与满足理论（Uses and Gratifications Theory），实证检验了员工创新工作绩效与GenAI工具使用之间的关联。通过分析覆盖全国366名员工的调研数据，本研究得到如下结论：（1）GenAI工具的认知性使用与社交性使用均能显著提升员工的创新绩效；（2）认知性使用主要促进知识转移行为，而社交性使用则强化资源获取行为。知识转移与资源获取的强化又会提升员工的工作满意度，而工作满意度是推动创新绩效的关键因素。本研究提出了一套全新的分析框架，可用于在组织场景中优化与管理员工使用GenAI工具的绩效表现。