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作 者:刘云硕 刘园园 张帆[3] 褚福磊 LIU Yunshuo;LIU Yuanyuan;ZHANG Fan;CHU Fulei(School of Economics and Management,North China Electric Power University,Beijing 102206,China;School of Management,Taiyuan University of Technology,Taiyuan 030024,China;School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China;School of Business Administration,Capital University of Economics and Business,Beijing 100070,China)
机构地区:[1]华北电力大学经济与管理学院,北京102206 [2]太原理工大学经济管理学院,山西太原030024 [3]北京理工大学管理学院,北京100081 [4]首都经济贸易大学工商管理学院,北京100070
出 处:《财经论丛》2024年第9期91-102,共12页Collected Essays on Finance and Economics
基 金:国家自然科学基金项目(72072121);中央高校基本科研业务费面上项目(2024MS029)。
摘 要:在数智化时代,人工智能在工作场所的应用不断深化,其对员工创新绩效的影响仍需深入探索。基于压力认知评估理论,本研究通过对387份问卷多时间节点的数据进行分析,结果发现,人工智能使用会通过威胁性评估抑制员工的创新绩效,但会通过挑战性评估提升员工的创新绩效,威胁性评估和挑战性评估在人工智能使用对员工创新绩效的影响中起中介作用;领导AI符号化不仅调节人工智能使用与两类认知评估之间的关系强度,还显著调节人工智能使用通过两类认知评估影响员工创新绩效的间接作用,但当领导AI符号化程度高时,挑战性评估的中介作用更强,而威胁性评估的作用更弱。研究结论揭示了人工智能使用对员工创新的双刃剑效应,为智能化工作场域中的员工创新管理提供了实践启示。As the core driving force of the Fourth Industrial Revolution,Artificial Intelligence(AI)has reshaped organizational models and transformed the way employees work.As AI application in the workplace continues to deepen,it profoundly impacts employeespsychology and behavior.However,there is still a relatively scarce body of academic research on the consequences of AI usage,and the conclusions are mixed.Some scholars argue that AI usage can lead to positive effects,such as increased job engagement and job autonomy,while others contend that AI usage can result in negative effects,such as in-creased job insecurity and job burnout.While existing studies have explored the potential positive or negative impacts of AI usage,there is a lack of integrated analysis of these dual effects.Additionally,most studies have primarily examined the mechanisms through which AI usage affects job engagement and proactive service behaviors,with relatively few focusing on its impact on employee innovation performance.Employee innovation performance is crucial for organizations to gain a competitive advantage and achieve high-quality development in the complex and changing business environment of the digital intelligence age.Therefore,it is necessary to further explore the relationship between AI usage and employee innovation performance.Based on the stress cognitive appraisal theory,this study empirically analyzes the double-edged sword effect of AI usage on employee innovation performance,using cognitive appraisal as a mediator and leadersAI symbolization as a moderator.Data are collected through a questionnaire with samples from the“Credamo”online platform.To minimize the effect of common method variance,this study adopts a three-wave research design,with data collected at three different time points.Ultimately,a total of 387 valid samples are obtained by matching longitudinal data.This study uses Mplus 8.0 for confirmatory factor analysis of the variables involved and SPSS 25.0 for descriptive statistics,correlation analysis,and mo
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