Abstract

This study aims to identify the systematic factors influencing venture capital performance in emerging technology. Emerging technologies are the driving force of contemporary economic and social development, but their technologies and markets are subject to great uncertainty. As a high-risk, high-yield investment method, venture capital plays an extremely important role in supporting technological innovation and promoting the upgrading of industrial structures. Following information processing theory, this study applies a quantitative analysis to data from 61 venture capitalists in Beijing, China using structural equation modeling (SEM). The sample firms were established since 2015 and invested mainly in emerging technology startups. The model passed the goodness-of-fit indices test and reveals that information acquisition, venture capital executives, and venture capital strategies have a positive impact on venture capital performance, and venture capital strategies played a partial mediating role.

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