The wide application of AI in the service industry has dramatically changed job tasks and required knowledge. It becomes more urgent and necessary to craft their job proactively to cope with the changes. However, we have limited knowledge about how and why some employees craft their jobs to adjust to AI and whether it works. Integrating the AI literature with the job crafting literature, we introduce the construct of AI crafting as a domain-specific kind of job crafting and investigate its outcomes and antecedents. Using a three-wave, multi-source field study, we adopted multilevel path modeling to analyze the data. Results revealed that leader AI crafting was positively related to employee AI crafting, which in turn positively related to employee AI engagement and AI helping. Furthermore, employee-attributed performance enhancement/impression management motives enhanced/attenuated the indirect effects. We discuss the theoretical and practical implications of the findings and propose future research directions.

中文翻译：

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通过工作重塑拥抱人工智能 (AI)：探索涓滴效应和员工成果

人工智能在服务行业的广泛应用极大地改变了工作任务和所需知识。主动制定工作以应对变化变得更加紧迫和必要。然而，对于一些员工如何以及为何调整工作以适应人工智能以及它是否有效，我们知之甚少。将人工智能文献与工作重塑文献相结合，我们介绍了人工智能重塑作为一种特定领域的工作重塑的构造，并研究了其结果和前因。通过三波、多源实地研究，我们采用多级路径建模来分析数据。结果显示，领导者的人工智能打造与员工的人工智能打造呈正相关，而员工的人工智能打造又与员工的人工智能参与度和人工智能帮助呈正相关。此外，员工归因的绩效提高/印象管理动机增强/减弱了间接影响。我们讨论研究结果的理论和实践意义，并提出未来的研究方向。