Title: Mechanisation and path analysis of dominant technology in emerging energy industry - based on CA model and fsQCA method
Authors: Hongying Wang; Bing Sun
Addresses: Nanjing University of Posts and Telecommunications, No. 9, Wenyuan Road, Qixia District, Nanjing, Jiangsu, China ' Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, Heilongjiang, China
Abstract: Recently, the conflict between Russia and Ukraine has exacerbated the risk of global energy supply and posed a great threat to world energy security. As an area in short supply fossil energy reserves in the world, European countries dependent on Russia in an all-round way. Therefore, Europe and even the world have paid close attention to the growth of emerging energy industry, and the diffusion mechanisation as well as path of dominant technology in emerging energy industry has become particularly important. The paper builds the diffusion model of emerging energy industry's dominant technology as well as illustrating the diffusion mechanisation on the basis of CA model. We also use fsQCA method to analyse and classify the diffusion paths of dominant technologies. The conclusion of this essay can provide a reference for the relevant enterprise management and government agencies in the decision-making of technology selection and strategic layout.
Keywords: emerging energy industry; dominant technology; CA model; fsQCA.
International Journal of Technology Management, 2023 Vol.92 No.4, pp.329 - 345
Accepted: 16 May 2022
Published online: 14 Mar 2023 *