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作 者:韩明燕 赵静幽 李志 Han Mingyan;Zhao Jingyou;Li Zhi(Business School,Nanjing Normal University,Nanjing 210023,China;School of Business Administration,Shandong Technology and Business University,Yantai 264005,China)
机构地区:[1]南京师范大学商学院,江苏南京210023 [2]山东工商学院工商管理学院,山东烟台264005
出 处:《外国经济与管理》2024年第10期89-104,共16页Foreign Economics & Management
基 金:国家自然科学基金青年项目(72402101)。
摘 要:员工AI合作在驱动员工创新上具有重要潜力。与以往对于员工正式创新的关注不同,本文探讨了员工—AI合作对越轨创新的影响,并从资源保存理论视角揭示了其中的作用机制。通过对三阶段291份数据进行分析发现:(1)员工—AI合作增加了对员工的信息搜寻支持和创意探索支持。(2)信息搜寻支持和创意探索支持传导了员工—AI合作对越轨创新的影响。员工—AI合作通过信息搜寻支持和创意探索支持,改善了员工越轨创新资源匮乏的局面,进而激励员工开展越轨创新。(3)AI使用熟练度强化了员工—AI合作对信息搜寻支持和创意探索支持的影响,以及员工—AI合作通过信息搜寻支持和创意探索支持对越轨创新的间接影响。这说明员工—AI合作的影响效果具有倾向性,在与AI合作的过程中,熟练使用AI的员工更具有获取资源的优势,也更倾向于做出越轨创新。研究结论丰富了员工—AI合作的影响效应和作用机制研究,同时也为企业构建有效的员工—AI交互系统、引导员工合理开展越轨创新提供了理论思路。Employee-AI collaboration holds significant potential for driving employee innovation.Moving beyond traditional focus on employees’formal innovation,this paper examines the impact of employee-AI collaboration on employee bootlegging and reveals the underlying mechanisms from the perspective of conservation of resources theory.Using a three-wave data from 291 employees working with AI,the results indicate that:(1)Employee-AI collaboration increases information search support and ideas exploration support.(2)Information search support and ideas exploration support mediate the influence of employee-AI collaboration on employee bootlegging.Employee-AI collaboration enhances employee bootlegging by supporting employees in searching information and exploring ideas,which alleviates their lacking of innovative resources and thus motivates them to engage in bootlegging.(3)AI fluency strengthens the impact of employee-AI collaboration on information search support and ideas exploration support,as well as the indirect influence of employee-AI collaboration on employee bootlegging through the above support.This demonstrates that the impact of employee-AI collaboration is biased;employees who are skilled and confident in using AI have a greater advantage in resource acquisition and are more inclined to engage in bootlegging.The findings enrich the understanding on the impact and mechanisms of employee-AI collaboration,and also provide theoretical insights for organizations to build effective employee-AI interaction systems and guide employees towards reasonable bootlegging.
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