人工智能意识如何提高员工的创新表现?
Yaobin Wang1, Haopeng Niu2, Henglai Zhou3
1Shandong Jiaotong University, No. 5001 Haitang Road, Changqing University Science and Technology Park, Jinan City, China.
Acta psychologica
|November 21, 2025
概括
人工智能意识通过放大创造力和数字创新来提高员工创新绩效 (EIP). 这项研究揭示了AI.
科学领域:
- 企业管理 企业管理
- 信息技术 信息技术 信息技术
- 组织心理学 组织心理学
背景情况:
- 数字化转型需要了解人工智能对员工创新绩效 (EIP) 的影响.
- 技术-组织-环境 (TOE) 框架为探索人工智能意识和EIP提供了基础.
- 现有的研究缺乏综合AI意识,创造力,数字创新和EIP的综合模型.
研究的目的:
- 调查创造力和数字创新在领先创新绩效和EIP之间的关系中扮演的调解角色.
- 检查人工智能意识对这些调解途径的缓解效应.
- 提出"认知技术协同作用"模型和人工智能赋权战略.
主要方法:
- 调查研究采用了中国山东省16家五星级酒店的408名员工的有效答案.
- 结构方程建模和等级回归分析.
- 在TOE框架内对一个调节调解模型进行实证测试.
主要成果:
- 领袖的创新表现积极影响员工的创新动机,但其对EIP的直接影响是由创造力和数字创新介导的.
- 数字创新在很大程度上调解了这种关系,证明了"技术杆效应".
- 人工智能意识作为创造力的"技术认知放大器"和数字创新的"技术协同催化剂".
结论:
- 人工智能意识对于增强EIP至关重要,它在创新过程中发挥着关键的调节作用.
- 提出的"认知技术协同效应"模型强调了认知因素和技术进步之间的动态相互作用.
- 建议组织采用人工智能赋权战略,包括"战略定,技术包容性和认知分层".
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