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The impact of generative artificial intelligence (GenAI) usage patterns on employee creativity
1School of Business Administration, Lanzhou University of Finance and Economics, Lanzhou, China.
Introduction:
Generative AI (GenAI) is transforming the way employees innovate, yet existing research has mainly focused on its adoption contexts and usage frequency.
Methods:
Based on a three-wave lagged survey design with 381 valid matched employees from knowledge-intensive firms in China, this exploratory empirical study develops and tests a model grounded in the exploration-exploitation framework, with knowledge integration capability as the core mediator and task complexity as the moderator.
Results:
Results show that: (1) Exploitative GenAI use is more strongly positively associated with incremental creativity than radical creativity; (2) Exploratory GenAI use is more strongly positively associated with radical creativity than incremental creativity; (3) Employees' knowledge integration capability plays a critical complementary mediating role in the above relationships; (4) Task complexity positively moderates the relationships between GenAI usage patterns and knowledge integration capability.
Discussion:
This study improves the theoretical precision of understanding human-AI co-creativity and provides evidence-based guidance for organizational GenAI strategies.
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