How AI use in organizations contributes to employee competitive advantage: The moderating role of perceived organization support

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-10-04 DOI:10.1016/j.techfore.2024.123801
Liang Ma , Peng Yu , Xin Zhang , Gaoshan Wang , Feifei Hao
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Abstract

Although the use of generative artificial intelligence (AI) within organizations is becoming increasingly common, research on how to enhance employees' competitive advantage through generative AI use within organizations is very limited. Using a resource-based view model, this study investigates the relationship between generative AI use and employees' competitive advantage, as well as the moderating role of perceived organization support. From an analysis of data from 264 employees from 200 organizations, it is found that work-related generative AI use has a positive effect on employee boundary spanning, which contributes to employee competitive advantage. Secondly, work-related generative AI use also has a positive effect on employee agility, including employee resilience and employee adaptability, which further contributes to employee competitive advantage. However, work-related generative AI use has a positive effect on employee proactivity, while the effect of employee proactivity on employee competitive advantage is not significant. Thirdly, perceived organizational support can enhance the effect between employee boundary spanning and employee competitive advantage. However, it is interesting to observe that perceived organizational support enhances the effect between employee adaptability and employee competitive advantage, while weakening the effect between employee proactivity and employee competitive advantage. It does not exert a moderating effect between employee resilience and employee competitive advantage. These findings can help deepen the current understanding of the relationship between generative AI use in the organization and employee competitive advantage, and provide suggestions for business managers on how to use generative AI to improve employee competitive advantage.
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组织中使用人工智能如何促进员工竞争优势:感知组织支持的调节作用
尽管组织内使用生成式人工智能(AI)越来越普遍,但有关如何通过组织内使用生成式人工智能来提高员工竞争优势的研究却非常有限。本研究采用基于资源的观点模型,探讨了生成式人工智能的使用与员工竞争优势之间的关系,以及感知到的组织支持的调节作用。通过对来自 200 家组织的 264 名员工的数据分析发现,与工作相关的人工智能生成性使用对员工的边界跨越有积极影响,而边界跨越有助于员工竞争优势的提升。其次,与工作相关的生成性人工智能的使用对员工的敏捷性也有积极影响,包括员工的应变能力和员工的适应能力,这进一步促进了员工的竞争优势。然而,与工作相关的人工智能生成性使用对员工主动性有积极影响,而员工主动性对员工竞争优势的影响并不显著。第三,感知到的组织支持可以增强员工边界跨越与员工竞争优势之间的效应。然而,值得注意的是,感知到的组织支持增强了员工适应性与员工竞争优势之间的效应,而削弱了员工主动性与员工竞争优势之间的效应。感知组织支持在员工适应性与员工竞争优势之间没有起到调节作用。这些发现有助于加深当前对组织中使用生成式人工智能与员工竞争优势之间关系的理解,并为企业管理者如何使用生成式人工智能提高员工竞争优势提供建议。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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