Enhancing Corporate Innovation Through Artificial Intelligence Adoption: A Study of Chinese Telecommunications Companies

Jing Dai
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Jing Dai: Centre of Postgraduate Studies, Asia Metropolitan University (AMU), Malaysia.

International Journal of Science and Business, 2024, vol. 38, issue 1, 18-34

Abstract: This study explores the impact mechanism of artificial intelligence (AI) adoption intensity on corporate innovation performance within the context of the digital economy. Using a sample of Chinese telecommunications companies, the research investigates how AI adoption intensity influences innovation performance. Empirical analysis reveals a significant positive relationship between AI adoption intensity and innovation performance. Furthermore, AI availability, encompassing mobile, interactive, and autonomous aspects, is found to partially mediate this relationship. The study underscores the role of AI adoption in enhancing innovation efficiency and effectiveness, facilitating lean and agile product development, and supporting various stages of the innovation process. Despite its contributions, the research acknowledges limitations in sample representation and calls for future studies to broaden the scope and address potential negative impacts of AI adoption. This study provides insights into the transformative potential of AI in fostering corporate innovation.

Keywords: Artificial Intelligence; Adoption Intensity; Innovation Performance; Telecommunications; Digital Economy. (search for similar items in EconPapers)
Date: 2024
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