Title: Dynamic capabilities for value creation from AI innovation ecosystem: a comparison between IFLYTKE and Amazon
Authors: Yu Chen; Yantai Chen; Yanlin Guo
Addresses: School of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, 201620, China ' Zhejiang Gongshang University, Hangzhou, 310018, China ' School of Business Administration, Zhejiang University of Technology, Hangzhou, 310023, China
Abstract: Artificial intelligence (AI) is an important driving force for a new trend of scientific and technological revolution and industrial reform. This paper analyses the dynamic capabilities for value creation from AI innovation ecosystem and proposes a research framework: institutional environment-dynamic capabilities-ecosystem stage. Based on the empirical evidence from double case study in the typical AI ecosystem, IFLYTEK and Amazon, our research leads to the following three main conclusions: 1) the difference of institutional environment has an important impact on the development of AI ecosystem; 2) combination of dynamic capabilities can enable AI leading enterprises to promote ecosystem and comprehensive use of dynamic capabilities can promote ecological partners to participate in value creation; 3) different stages of innovation ecosystem development have different effects on dynamic capacities for value creation. Dynamic capabilities are vital for AI leading enterprises to maintain competitive advantage. As for practical implications, this research provides guidance on how to build dynamic capabilities of AI ecosystem, and gives enlightenment to how AI can construct dynamic capabilities for value creation to achieve sustainable development.
Keywords: dynamic capabilities; value creation; innovation ecosystem; artificial intelligence; case-study analysis.
International Journal of Knowledge Management Studies, 2023 Vol.14 No.2, pp.212 - 236
Received: 01 Dec 2021
Accepted: 19 Aug 2022
Published online: 04 Apr 2023 *