Tailoring Success: Harnessing the Creational Affordances of Generative Artificial Intelligence to Drive Market Performance

IF 5.2 3区 管理学 Q1 BUSINESS IEEE Transactions on Engineering Management Pub Date : 2025-02-21 DOI:10.1109/TEM.2025.3542764
Lixu Li;Xiaohua Xin;Xinjie Xing;Yaoqi Liu;Lujie Chen
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Abstract

The rapid evolution of generative artificial intelligence (GenAI) has revolutionized various industries through its creational affordances. However, the impact of these affordances on business outcomes remains underexplored. Drawing on the resource-based view, we examine the relationships among GenAI's creational affordances, customer orientation, customization, and market performance. Using survey data from 196 information technology (IT) firms in mainland China, we reveal that both product and service customization significantly mediate the positive relationship between GenAI's creational affordances and market performance. Furthermore, customer orientation merely enhances the mediation effect of service customization, underscoring its critical role in maximizing the strategic benefits of GenAI. We contribute to existing technology-driven operations management research by emphasizing the moderated mediation mechanism in the relationship between GenAI's creational affordances and market performance. Our findings not only assist IT firms in better implementing their AI strategies but also offer a reference for the development of other firms.
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裁剪成功:利用生成式人工智能的创造性能力来推动市场表现
生成式人工智能(GenAI)的快速发展,通过其创造性的功能,已经彻底改变了各个行业。然而,这些功能对业务结果的影响仍未得到充分探讨。利用基于资源的观点,我们研究了GenAI的创造性能力、客户导向、定制和市场表现之间的关系。通过对中国大陆196家信息技术(IT)企业的调查数据,我们发现产品定制和服务定制在GenAI创新能力与市场绩效之间具有显著的中介作用。此外,顾客导向仅仅增强了服务定制的中介效应,凸显了其对GenAI战略效益最大化的关键作用。我们通过强调GenAI创新能力与市场绩效之间关系的调节中介机制,为现有的技术驱动型运营管理研究做出贡献。我们的研究结果不仅有助于IT企业更好地实施其人工智能战略,也为其他企业的发展提供了参考。
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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