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arXiv cs.CY· Amin Shirangi, Todd L. Pittinsky·· 13 小时前AI 评分18

AI 与工作设计:一个动态框架

Artificial Intelligence and Job Design: A Dynamic Framework

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研究提出 AI-Job Dynamics Framework,将 AI 融入组织的过程刻画为三个阶段的动态非线性过程,并指出 AI 整合初期会降低工作自主性,后期随着 AI 深度嵌入可能带来更高自主性。该框架还描述 AI 如何将技能需求从常规技能重塑为复杂认知与适应技能,并强调决策权集中与分散之间的平衡。

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Abstract:This study aims to deepen the understanding of artificial intelligence's (AI) impact on work by introducing and describing the AI-Job Dynamics Framework. Drawing from sociotechnical systems theory, complexity theory, and organizational learning theories, we conceptualize AI integration as a dynamic, non-linear process with three key phases. The framework, supported by theoretical propositions, identifies how this process affects organizational decision-making structures and key job characteristics over time, emphasizing the balance between centralization and decentralization of decision-making power. AI integration initially reduces job autonomy but may lead to greater autonomy in later phases as AI becomes more embedded. Throughout this process, AI reshapes skill requirements from routine to complex cognitive and adaptive skills. In the advanced phase of AI integration, we introduce the alternative paths and varied trajectories through which AI, organizational structures, and individual work experiences evolve. We conclude by discussing the implications of this framework for future research on AI and job design.
Comments: 27 pages, 1 figure
Subjects: Computers and Society (cs.CY); Human-Computer Interaction (cs.HC)
Cite as: arXiv:2610.28830 [cs.CY]
  (or arXiv:2610.28830v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2610.28830

arXiv-issued DOI via DataCite

Submission history

From: Amin Shirangi [view email]
[v1] Tue, 20 Oct 2026 18:55:20 UTC (386 KB)

来源:arXiv cs.CY · arxiv.org