The Stimulation of Employee Creativity by Artificial Intelligence Technology in Different Work Environments and Its Impact Mechanisms

Shilong Li

doi:10.47297/taposatWSP2633-456938.20250603

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The Stimulation of Employee Creativity by Artificial Intelligence Technology in Different Work Environments and Its Impact Mechanisms

6卷第3期

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The Stimulation of Employee Creativity by Artificial Intelligence Technology in Different Work Environments and Its Impact Mechanisms
The Stimulation of Employee Creativity by Artificial Intelligence Technology in Different Work Environments and Its Impact Mechanisms
Kaplan Higher Education Academy, Sanhe, Langfang, 065201 Hebei, China
2025年6卷第3期页码：205-208
纸质出版日期：2025-03-25
DOI：10.47297/taposatWSP2633-456938.20250603
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(2025). The Stimulation of Employee Creativity by Artificial Intelligence Technology in Different Work Environments and Its Impact Mechanisms. 科技理论与实践（英文版）, 6(3), 205-208.

Li Shilong.The Stimulation of Employee Creativity by Artificial Intelligence Technology in Different Work Environments and Its Impact Mechanisms[J].Theory and Practice of Science and Technology,2025,06(03):205-208.
(2025). The Stimulation of Employee Creativity by Artificial Intelligence Technology in Different Work Environments and Its Impact Mechanisms. 科技理论与实践（英文版）, 6(3), 205-208. DOI： 10.47297/taposatWSP2633-456938.20250603.

Li Shilong.The Stimulation of Employee Creativity by Artificial Intelligence Technology in Different Work Environments and Its Impact Mechanisms[J].Theory and Practice of Science and Technology,2025,06(03):205-208. DOI： 10.47297/taposatWSP2633-456938.20250603.

摘要

Abstract

This paper focuses on the mechanism of how artificial intelligence (AI) technology affects employee creativity in different work environments. Based on Amabile's creativity component theory

a three-dimensional integrated framework of "domain skill empowerment - thinking process reshaping - motivation regulation effect" is constructed

[

]

. Cross-industry case studies in education

finance

technology

and manufacturing show that AI releases cognitive resources by automating repetitive tasks. Its nonlinear output characteristics can stimulate breakthrough inspirations

potentially leading to algorithmic dependence. Task substitution

while enhancing intrinsic motivation

is accompanied by the risk of technological dependence. This paper reveals the significant moderating effect of industry context on the AI action path. This paper confirms the dynamic adaptation mechanism between AI and the work environment and proposes that enterprises should build an agile iterative technology deployment framework based on the characteristics of industry knowledge

and optimize human-machine collaboration efficiency through digital literacy improvement plans and collaborative culture construction.

关键词

Keywords

references

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