Artificial Intelligence Knowledge Transfer and Artificial Intelligence New Product Development Quality Under Knowledge Leadership

  • Jianming Zhou
  • Ying Liu
  • Peng ZhangEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1146)


This paper studies how artificial intelligence (AI) knowledge transfer affect AI product development under the leading style of knowledge leadership, and samples 113 AI product R&D teams from 42 Chinese entrepreneurs in Guangzhou and Shenzhen for empirical study. The test results indicate that (1) director’s knowledge leadership has direct positive impact on AI knowledge transfer including both internal and external AI knowledge transfer, and AI new product development quality significantly; (2) AI knowledge transfer including both internal and external AI knowledge transfer has direct positive impact on AI new product development quality significantly, and at the same time mediates the relationship between the director’s knowledge leadership and AI new product development quality.


AI knowledge transfer AI product development Knowledge leadership 



This work was supported by the Guangdong Natural Science Foundation of China (Grants No. 2017A030313431), the project of Humanities and Social Sciences from Guangdong Education Department (Grants No. 2013WYXM0130), and Guangdong “13th Five year” project for Education and Scientific Research (Grants NO. 2017GGXJK007).


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of ManagementGuangdong University of Finance and EconomicsGuangzhouPeople’s Republic of China
  2. 2.Department of Science and TechnologyGuangdong Mechanical & Electrical PolytechnicGuangzhouPeople’s Republic of China

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