中国科学院行为科学重点实验室知识库

智能化浪潮为我国由制造大国迈向制造强国以及制造业智能转型注入新的源动力,但与此同时制造业知识型员工也面临着劳动过程被人工智能重塑的挑战。本文在人工智能背景下创新性地提出技术空心化这一动态性概念来反映人工智能技术的发展和应用对制造业知识型员工劳动过程的影响。本文有三个研究目的:第一,基于意义构建理论时间动态视角探讨技术空心化的内涵、维度结构以及其测量量表;第二,以“认知-行为”互动链为基础构建技术空心化的“执行技能空心化”和“概念技能空心化”两阶段过程模型,并进一步探讨企业和员工层情境因素在其中的催化作用;第三,基于能力构建视角探讨技术空心化对知识型员工双元创新行为和可持续职业生涯发展的影响。研究结论不仅能丰富人工智能背景下技术空心化的理论研究,还能在中国制造业智能转型之际为和谐稳定的劳动关系的建立、实现企业与员工的长期发展及共同繁荣提供实践启示。

The wave of intelligence has injected new impetus for China to transform from a manufacturing power to a manufacturing powerhouse and for the intelligent transformation of enterprises. However, at the same time, knowledge workers in the manufacturing industry face the challenge of reshaping the labor process with artificial intelligence. This paper innovatively proposes the dynamic concept of technical hollowing out in the context of artificial intelligence to reflect the impact of the development and application of artificial intelligence technology on the labor process of knowledge workers in the manufacturing industry. This paper has three research purposes: First, to explore the definition, dimensional structure, and measurement scale of technical hollowing out based on the temporal dynamic perspective of sensemaking theory; second, based on the “cognition-behavior” interaction chain, we construct a two-stage model of “executive skill hollowing out” and “conceptual skill hollowing out” for the technical hollowing out of knowledge workers, and further explore the catalytic role of situational factors at the enterprise and employee levels; third, based on the capability-building perspective, the impact of technical hollowing out on knowledge workers’ dual innovation behavior and sustainable career development is explored. The research conclusions can not only enrich the theoretical research on technical hollowing out in the context of artificial intelligence, but also provide practical inspiration for the establishment of harmonious and stable labor relations, and the realization of long-term development and shared prosperity of enterprises and employees during the intelligent transformation of China’s manufacturing industry.

国家社会科学基金重点项目(23AGL022,22AGL014)资助