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

IF 4.6 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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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.
期刊最新文献
Guest Editorial: Cognitive Biases and Heuristics in the New Product Development Process—A Call for More Empirical Evidence How to Operate Electricity Markets Using a Trilevel Optimization Framework Overqualified Yet Motivated: Work Motivation, Technology Uncertainty and Overqualified Employees’ Innovative Behavior Tailoring Success: Harnessing the Creational Affordances of Generative Artificial Intelligence to Drive Market Performance Developing the Innovation Capabilities of SMEs: The Role of Intermediary Firms in Knowledge Ecosystems
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