科研管理 ›› 2025, Vol. 46 ›› Issue (1): 106-113.DOI: 10.19571/j.cnki.1000-2995.2025.01.011

• 论文 • 上一篇    下一篇

技术错配视角下AI技术陷阱及其治理机制研究

张敏   

  1. 温州大学商学院,浙江 温州325035
  • 收稿日期:2023-10-03 修回日期:2024-11-22 出版日期:2025-01-20 发布日期:2025-01-09
  • 通讯作者: 张敏
  • 基金资助:
    浙江省软科学一般项目:“人工智能技术陷阱及其治理机制研究:基于浙江制造业的经验探索”(2024C35007,2024.01—2024.12)。

Research on the AI technology trap and its governance mechanism from the perspective of technological mismatch

Zhang Min   

  1. School of Business, Wenzhou University, Wenzhou 325035, Zhejiang, China
  • Received:2023-10-03 Revised:2024-11-22 Online:2025-01-20 Published:2025-01-09

摘要:     人工智能(AI)技术是推动新一轮科技革命和产业变革的重要引擎,但技术错配会导致企业囿于AI技术陷阱而停滞不前。本文基于灯塔工厂的AI应用场景,采集多阶段横断面数据,实证检验AI技术陷阱的源起与治理逻辑。AI技术陷阱源于AI技术无序扩张导致的技术与员工认知、能力之间的错配,AI数字导向虽对数字创新产生积极影响,但同时也会滋生员工AI意识,进而抑制企业数字创新,员工数字能力对企业数字导向与员工AI意识之间的关系起到负向调节作用。通过构建“技术—认知—能力”三方协同的治理逻辑,有益于化解技术错配导致的员工认知抗拒与能力瓶颈,为建构AI创新生态提供理论支撑与行动参照。

关键词: AI技术陷阱, 数字导向, 员工AI意识, 数字创新, 技术治理

Abstract:     Artificial Intelligence (AI) technology serves as a pivotal driver for technological revolutions and industrial transformations. Nevertheless, technological misalignment can ensnare companies in an AI technology trap, thereby stalling their progress. This study, grounded in AI application scenarios within lighthouse factories and utilizing multi-stage cross-sectional data, empirically examined the origins and governance logic of the AI technology trap. The AI technology trap originates from the discord between AI technology and employees′ cognition and capabilities, a consequence of the unrestrained expansion of AI technology. While AI digital orientation positively influences digital innovation, it simultaneously fosters an employee AI awareness that can suppress corporate digital innovation. Employee digital capabilities exert a negative moderating effect on the relationship between corporate digital orientation and employee AI awareness. By constructing a governance logic that synergizes technology, cognition and capabilities, it is beneficial to alleviate the cognitive resistance and capability bottlenecks among employees caused by technological misalignment. This approach has provided theoretical support and practical references for building an AI innovation ecosystem.

Key words:  AI technology trap, digital-orientation, employees′ AI awareness, digital innovation, technical governance