Decision‐making logics and high‐tech entrepreneurial opportunity identification: The mediating role of strategic knowledge integration

Runping Guo, Xingqun Lv, Yuan Wang, Peggy E. Chaudhry and Sohail S. Chaudhry

Systems Research and Behavioral Science, 2020, vol. 37, issue 4, 719-733

Abstract: In the era of Industry 4.0 and Made in China 2025 initiatives, this research is focused on exploring how entrepreneurial decision‐making logics contribute to opportunity identification by combining effectuation theory and knowledge‐based theory under high uncertainty through strategic knowledge integration in emerging economies, such as the Chinese economy. Empirical data were collected from 196 entrepreneurs and top executives in Chinese high‐tech new ventures using an interview survey. An established mediation model's assessment approach was used to test hypotheses through multivariate linear regression analyses. The analysis results show that both effectuation and causation have positive effects on opportunity identification. Also, emergent/planned knowledge integration plays a fully mediating role in the relationship between effectuation/causation and opportunity identification. This research contributes to the literature by providing empirical evidence to explain the problem of entrepreneurial opportunity identification under high uncertainty through the lens of effectuation theory. It facilitates the development of effectuation theory and enriches the literature on strategic knowledge integration. Moreover, our findings have important managerial implications for high‐tech new ventures to effectively recognize new opportunities in the context of emerging economies.

Date: 2020
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