THE IMPACT OF ARTIFICIAL INTELLIGENCE ON DUAL INNOVATION AMONG EMPLOYEES
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Abstract
This study aims to explore how the usage of Artificial Intelligence (AI) affects employees’ exploitative and exploratory innovations, and further analyze the mediating role of positive emotions in this process. Based on the cognitive appraisal theory and the feelings-as-information theory, the study proposes that AI usage can enhance employees’ work efficiency, leading to positive evaluations and promoting positive emotions. However, these emotions may result in employees’ dependency on AI, which could hinder the development of dual innovation. Through a questionnaire survey and empirical analysis of employees in enterprises, the results indicate that the use of AI technology has a significant positive impact on both exploitative and exploratory innovations. However, while the negative impact of positive emotions on exploitative innovation is not significant, it has a significant negative impact on exploratory innovation. The study suggests that AI technology contributes to the enhancement of employees’ dual innovation capabilities, but the positive emotions it induces may reduce employees’ willingness to explore. Therefore, enterprises should optimize AI empowerment mechanisms and strengthen employees’ motivation for exploratory innovation to fully leverage AI’s potential in promoting dual innovation. This study extends the application of the cognitive appraisal theory to the domain of innovation and provides empirical evidence for the context-dependent and adaptive functions of emotions within the framework of the feelings-as-information theory. It challenges the conventional view that positive emotions always produce favorable outcomes and lays a theoretical foundation for future exploration of the multifaceted roles of emotions.
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