从AI适应到创新：领导者AI塑造如何影响员工创新行为
From AI adaptation to innovation: how leader AI crafting shapes employee innovative behavior.
摘要(中文译文)
随着人工智能重塑工作形态，组织面临着帮助员工从常规技术适应迈向创新的挑战。尽管已有研究表明，领导者人工智能塑造（leader AI crafting）能够促进员工对人工智能的适应，但其是否以及如何促进员工创新行为仍不明确。本研究基于社会认知理论，考察领导者人工智能塑造如何通过人工智能自我效能感（AI self-efficacy）与员工创新行为相关联，以及这种关系何时更强。我们开展了两项研究。研究一采用两波次现场调查，检验了领导者人工智能塑造、人工智能自我效能感、人工智能任务依赖（AI task dependence）与创新行为之间的有调节的中介模型。两项研究的结果表明，领导者人工智能塑造能够提升员工的人工智能自我效能感，进而与更高的创新行为相关联。当人工智能任务依赖程度较高时，领导者人工智能塑造对人工智能自我效能感的积极效应更强，有调节的中介效应也得到支持。研究二采用基于情境实验（vignette-based experiment）检验了人工智能任务依赖在领导者人工智能塑造与人工智能自我效能感关系中的第一阶段调节作用。这些发现通过阐明员工在人工智能赋能的工作情境中如何从适应人工智能迈向创新，并将人工智能自我效能感和人工智能任务依赖确定为关键的心理与情境机制，拓展了领导者人工智能塑造的文献。鉴于研究一采用的是科技行业样本，这些发现的更广泛普适性仍有待未来研究加以检验。
Abstract
As artificial intelligence reshapes work, organizations face the challenge of helping employees move beyond routine technological adaptation toward innovation. Although prior research has shown that leader AI crafting facilitates employees' adaptation to AI, whether and how it promotes employees' innovative behavior remains unclear. Drawing on social cognitive theory, this study examines how leader AI crafting relates to employees' innovative behavior through AI self-efficacy and when this relationship becomes stronger. We conducted two studies. Study 1 used a two-wave field survey to examine the moderated mediation model linking leader AI crafting, AI self-efficacy, AI task dependence, and innovative behavior. Across the two studies, the results indicate that leader AI crafting enhances employees' AI self-efficacy, which in turn is associated with higher innovative behavior. The positive effect of leader AI crafting on AI self-efficacy is stronger when AI task dependence is high, and moderated mediation effect is also supported. Study 2 used a vignette-based experiment to test the first-stage moderating role of AI task dependence in the relationship between leader AI crafting and AI self-efficacy. These findings extend the leader AI crafting literature by clarifying how employees move from adapting to AI toward innovating in AI-enabled work contexts, and by identifying AI self-efficacy and AI task dependence as key psychological and contextual mechanisms. Given the technology-industry sample in Study 1 the broader generalizability of these findings remains to be examined in future research.
如何引用
AMA
Tianxing Pu, Ren Lei, Abdul Waheed Siyal, Yuanheng Li. From AI adaptation to innovation: how leader AI crafting shapes employee innovative behavior.. Frontiers in psychology. 2026; doi:10.3389/fpsyg.2026.1847344.
APA
Tianxing Pu, Ren Lei, Abdul Waheed Siyal, Yuanheng Li (2026). From AI adaptation to innovation: how leader AI crafting shapes employee innovative behavior.. Frontiers in psychology. https://doi.org/10.3389/fpsyg.2026.1847344
GB/T 7714
Tianxing Pu, Ren Lei, Abdul Waheed Siyal, Yuanheng Li. From AI adaptation to innovation: how leader AI crafting shapes employee innovative behavior.[J]. Frontiers in psychology, 2026 doi:10.3389/fpsyg.2026.1847344.
在 PubMed增强版 阅读全文
翻译全文 · AI 文献问答 · PDF 原文下载 · 引用导出