Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China

Research Article

Research on the Relationship Between Absorptive Capacity and Innovation Capacity of AI enterprises: the Moderating Effect of R&D Leap and Value Cognition Complexity

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  • @INPROCEEDINGS{10.4108/eai.6-1-2023.2330271,
        author={Litian  Chen and Rui  Wu and Yufeng  Wang and Junhong  Zhong},
        title={Research on the Relationship Between Absorptive Capacity and Innovation Capacity of AI enterprises: the Moderating Effect of R\&D Leap and Value Cognition Complexity},
        proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2023},
        month={6},
        keywords={absorptive capacity innovation capacity r\&d leap value cognition},
        doi={10.4108/eai.6-1-2023.2330271}
    }
    
  • Litian Chen
    Rui Wu
    Yufeng Wang
    Junhong Zhong
    Year: 2023
    Research on the Relationship Between Absorptive Capacity and Innovation Capacity of AI enterprises: the Moderating Effect of R&D Leap and Value Cognition Complexity
    BDEDM
    EAI
    DOI: 10.4108/eai.6-1-2023.2330271
Litian Chen1, Rui Wu1,*, Yufeng Wang1, Junhong Zhong1
  • 1: Zhejiang Gongshang University
*Contact email: 13349076657@163.com

Abstract

Artificial intelligence is the product of information technology at an advanced stage. As a key driver of the new round of global technological revolution and industrial transformation, artificial intelligence is building new momentum. For artificial intelligence enterprises, the key to maintain competitiveness in a changing environment lies in the improvement of Innovation capacity. To make effective innovations, they need to enhance their absorptive capability, acquire more knowledge from the outside world and break with tradition. From the perspective of punctuated equilibrium theory and value cognition, this paper, using the data of 84 listed companies of artificial intelligence concept stocks from 2011 to 2021 as a sample, analyses and examines the impact of absorptive capacity on Innovation capacity, and the moderating effect of R&D leap and value cognition complexity on the above relation. The results show that absorptive capacity positively affects Innovation capacity, that R&D leap negatively moderates the relationship between absorptive capacity and Innovation capacity, and that the joint interaction between value cognition complexity and R&D leap positively moderates the relationship between absorptive capacity and Innovation capacity. The findings of this paper provide guidance for enterprises to formulate innovation improvement strategies in a complex and changeable environment.