Research on the Relationship Between R&D Intensity and Innovation Performance in AI Enterprises: The Moderating Effect of Value Cognition and Bankruptcy Threat

Litian Chen and Junhong Zhong

Chapter 44 in Internet Finance and Digital Economy:Advances in Digital Economy and Data Analysis Technology, 2023, pp 603-616 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Based on the value cognition and prospect theory as well as the panel data of 84 listed AI concept stock companies from 2011 to 2019, this paper analyzes and tests the impact of R&D intensity of AI enterprises on the innovation performance, and the moderating effect of value cognition and bankruptcy threat in this process. Studies have shown that the R&D intensity of AI enterprises is positively correlated with innovation performance, whereas the complexity of value cognition and the joint interaction between value cognition complexity and bankruptcy negatively regulate the relationship between R&D intensity and innovation performance in AI enterprises. The results of the research are of great theoretical and practical significance for enterprises to implement the strategy of enterprise R&D investment under the orientation of innovation performance.

Keywords: Internet Economy; Online Finance; Financial Engineering; Big Data; Blockchain; Supply Chain; E-commerce (search for similar items in EconPapers)
JEL-codes: G2 O33 (search for similar items in EconPapers)
Date: 2023
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