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Artificial intelligence has been widely adopted for digital transformation and value creation for enterprises. However, studies about how participants can co‐create value in the AI innovation ecosystem are needed. Thus, this research proposed a comprehensive research model to examine the impact of value co‐creation in the AI innovation ecosystem for competitive advantage and innovation intelligibility with the mediating effect of dynamic capabilities and innovation capabilities. We collected data from 234 AI‐related manufacturers for the structural equation modelling analysis. Results show that (1) the AI innovation ecosystem can bring economic value and relationship value to enterprises; (2) impacts of economic value and relationship value on competitive advantage and innovation intelligibility are not significant; and (3) value co‐creation does not have a significant impact on competitive advantage and innovation intelligibility, and dynamic capabilities and innovation capabilities play the mediating role. Theoretical contribution, practical implication, limitation, and future research are presented.

Previous research has studied the relationship between higher education and economic growth, but the results are mixed. This paper analysed higher educational investment and economic growth theoretically and studied the long‐term dynamic relationship between them by using Johansen test, Granger causality test, impulse response function, variance decomposition and other empirical methods based on vector autoregressive model. The result indicates a long‐term stable equilibrium relationship among higher educational fund investment, human capital investment and economic growth. Specifically, higher educational fund investment and human capital investment have a significant positive impact on economic growth. Both higher educational fund investment and human capital investment are Granger causes of economic growth. Fund input is Granger cause of human input. Therefore, fund input is a major and driving impetus for higher education to promote economic growth. Theoretical and practical implications are discussed. Copyright © 2014 John Wiley & Sons, Ltd.

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This paper identifies three stages in the radical technological innovation process, namely formation process in niches, breaking out of niches and entering regimes, and new regime formation. It then adopts Multi-level Perspective (MLP) to explore the formation process, operating mechanism, breakthrough path, and impact factors of radical technological innovation. A three-phase model, which includes formation of radical innovation, breakout of radical innovation, and new regimes construction, is proposed to analyze radical technological innovation. The model is adopted in a case study to analyze the leapfrogging development of technologies in China’s mobile communication industry. This paper enriches technological innovation theory and provides supports for policy making and guidance for industries/enterprises practices regarding technological innovation in emerging economies.