创造力
工作(物理)
心理学
认知科学
知识管理
人工智能
计算机科学
工程类
社会心理学
机械工程
出处
期刊:Theory and practice of science and technology
[World Scientific Publishing House Ltd]
日期:2025-01-01
卷期号:6 (3): 205-208
标识
DOI:10.47297/taposatwsp2633-456938.20250603
摘要
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[ 1 ]. 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.
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